{"type": "FeatureCollection", "features": [{"id": "10.1016/j.agwat.2018.02.001", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:35Z", "type": "Journal Article", "created": "2018-03-18", "title": "Impacts of plastic film mulching on crop yields, soil water, nitrate, and organic carbon in Northwestern China: A meta-analysis", "description": "In order to increase crop yield in semi-arid and arid areas, plastic film mulching (PFM) is widely used in Northwestern China. To date, many studies have addressed the effects of PFM on soil physical and biochemical properties in rain-fed agriculture in Northwestern China, but the findings of different studies are often contradictory. Therefore, a comprehensive review of the impacts of PFM on soil water content, soil nutrients and food production is needed. We compiled the results of 1278 observations to evaluate the overall effects of PFM on soil water content, the distribution of nitrate and soil organic carbon, and crop yield in rain-fed agriculture in Northwestern China. Our results showed that PFM increased soil moisture and nitrate concentration in topsoils (0-20\u202fcm) by 12.9% and 28.2%, respectively, but slightly decreased (1.8%) soil organic carbon (SOC) content in the 0-10\u202fcm soil layer. PFM significantly increased grain yields by 43.1%, with greatest effect in spring maize (79.4%). When related to cumulative precipitation during the crop growing season, yield increase from PFM was greatest (72.8%) at 200-300\u202fmm, which was attributed to the large increase for spring maize and potato, implying that crop zoning would be beneficial for PFM in this region. When related to N application rate, crop yields benefited most from PFM (80.2%) at 200-300\u202fkg/ha. A cost-benefit analysis indicated that PFM increased economic return by an average of 29.5%, with the best improvement for spring maize (71.1%) and no increase for spring wheat. In conclusion, PFM can significantly increase crop yield and economic return (especially for spring maize) in rain-fed agriculture areas of Northwestern China. Crop zoning is recommended for PFM to achieve the largest economic benefit. However, full account needs to be taken of the environmental impacts relating to N loss, SOC depletion and film pollution to evaluate the sustainability of PFM systems and further research is required to quantify and mitigate these impacts.", "keywords": ["2. Zero hunger", "0106 biological sciences", "13. Climate action", "Plastic film mulching; Economic benefit; Grain yield; Soil water content; Nitrate", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Article", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2018.02.001"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agwat.2018.02.001", "name": "item", "description": "10.1016/j.agwat.2018.02.001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2018.02.001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-01T00:00:00Z"}}, {"id": "0d41a483-52b2-464f-b526-3ae29e6ad089", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.99, 52.98], [12.99, 53.15], [13.64, 53.15], [13.64, 52.98], [12.99, 52.98]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-02-05", "type": "Service", "created": "2023-11-28", "language": "eng", "title": "Web Map Service of the dataset 'Data on soil respiration in a beech forest and a pine forest'", "description": "This Web Map Service includes spatial information used by the dataset 'Data on soil respiration in a beech forest and a pine forest''", "keywords": ["infoMapAccessService", "Soil", "soil respiration", "soil air", "soil temperature", "soil water content", "Fagus sylvatica", "Pinus sylvestris", "measurement", "Soil", "soil respiration", "soil air", "soil temperature", "soil water content", "Fagus sylvatica", "Pinus sylvestris", "measurement", "Germany", "Brandenburg", "Barnim", "Ostprignitz-Ruppin"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Hubert Jochheim", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Hubert.jochheim@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8047-4553", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Stephan Wirth", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "swirth@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8047-4553", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Hubert Jochheim", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Hubert.jochheim@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8047-4553", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Valentin Gartiser", "organization": "Georg-August-Universit\u00e4t G\u00f6ttingen", "position": null, "roles": ["researcher"], "phones": [{"value": null}], "emails": [{"value": "valentin.gartiser@stud.uni-goettingen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-5320-374X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Martin Maier", "organization": "Georg-August-Universit\u00e4t G\u00f6ttingen", "position": null, "roles": ["researcher"], "phones": [{"value": null}], "emails": [{"value": "martin.maier@uni-goettingen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-7959-0108", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Dieter Sowa", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "Annett.Stange@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil"}, {"id": "soil respiration"}, {"id": "soil air"}, {"id": "soil temperature"}, {"id": "soil water content"}, {"id": "Fagus sylvatica"}, {"id": "Pinus sylvestris"}, {"id": "measurement"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Soil"}, {"id": "soil respiration"}, {"id": "soil air"}, {"id": "soil temperature"}, {"id": "soil water content"}, {"id": "Fagus sylvatica"}, {"id": "Pinus sylvestris"}, {"id": "measurement"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Barnim"}, {"id": "Ostprignitz-Ruppin"}], "scheme": "individual"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=0d41a483-52b2-464f-b526-3ae29e6ad089", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Zalf/ID_4731_both_sites/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "0d41a483-52b2-464f-b526-3ae29e6ad089", "name": "item", "description": "0d41a483-52b2-464f-b526-3ae29e6ad089", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0d41a483-52b2-464f-b526-3ae29e6ad089"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-05T00:00:00Z"}}, {"id": "10.1002/ecy.2936", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:14:03Z", "type": "Journal Article", "created": "2019-11-21", "title": "Soil chemistry turned upside down: a meta\u2010analysis of invasive earthworm effects on soil chemical properties", "description": "Abstract<p>Recent studies have shown that invasive earthworms can dramatically reduce native biodiversity, both above and below the ground. However, we still lack a synthetic understanding of the underlying mechanisms behind these changes, such as whether earthworm effects on soil chemical properties drive such relationships. Here, we investigated the effects of invasive earthworms on soil chemical properties (pH, water content, and the stocks and fluxes of carbon, nitrogen, and phosphorus) by conducting a meta\uffe2\uff80\uff90analysis. Invasive earthworms generally increased soil pH, indicating that the removal of organic layers and the upward transport of more base\uffe2\uff80\uff90rich mineral soil caused a shift in soil pH. Moreover, earthworms significantly decreased soil water content, suggesting that the burrowing activities of earthworms may have increased water infiltration of and/or increased evapotranspiration from soil. Notably, invasive earthworms had opposing effects on organic and mineral soil for carbon and nitrogen stocks, with decreases in organic, and increases in mineral soil. Nitrogen fluxes were higher in mineral soil, whereas fluxes in organic soil were not significantly affected by the presence of invasive earthworms, indicating that earthworms mobilize and redistribute nutrients among soil layers and increase overall nitrogen loss from the soil. Invasive earthworm effects on element stocks increased with ecological group richness only in organic soil. Earthworms further decreased ammonium stocks with negligible effects on nitrate stocks in organic soil, whereas they increased nitrate stocks but not ammonium stocks in mineral soil. Notably, all of these results were consistent across forest and grassland ecosystems underlining the generality of our findings. However, we found some significant differences between studies that were conducted in the field (observational and experimental settings) and in the lab, such as that the effects on soil pH decreased from field to lab settings, calling for a careful interpretation of lab findings. Our meta\uffe2\uff80\uff90analysis provides strong empirical evidence that earthworm invasion may lead to substantial changes in soil chemical properties and element cycling in soil. Furthermore, our results can help explain the dramatic effects of invasive earthworms on native biodiversity, for example, shifts towards the dominance of grass species over herbaceous ones, as shown by recent meta\uffe2\uff80\uff90analyses.</p>", "keywords": ["Element flux", "Nitrogen", "Earthworm ecological group", "Forests", "Nitrate", "exotic earthworms", "Nutrient cycling", "nitrogen", "Article", "earthworm ecological group", "Soil", "nitrate", "Animals", "phosphorus", "soil carbon", "Oligochaeta", "Ecosystem", "Soil Microbiology", "water content", "Exotic earthworms", "2. Zero hunger", "Water content", "Plan_S-Compliant-TA", "pH", "nutrient cycling", "Phosphorus", "04 agricultural and veterinary sciences", "15. Life on land", "Nitrification", "Soil carbon", "nitrification", "ammonium", "13. Climate action", "international", "0401 agriculture", " forestry", " and fisheries", "element flux", "Ammonium"]}, "links": [{"href": "https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecy.2936"}, {"href": "https://doi.org/10.1002/ecy.2936"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/ecy.2936", "name": "item", "description": "10.1002/ecy.2936", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/ecy.2936"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-08T00:00:00Z"}}, {"id": "10.1007/bf00114814", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:14:17Z", "type": "Journal Article", "created": "2004-10-31", "title": "Faidherbia-Albida And Its Effects On Ethiopian Highland Vertisols", "description": "On a Vertisol under 850 mm rainfall, at an altitude of 1850 m, Faidherbia albida trees that occurred at 6.52 trees ha\u22121, with a canopy cover that range from 97 m2 ha\u22121 to 229 m2 ha\u22121 were recorded. Studies on the lateral and vertical influence of the tree canopy on some physical and chemical properties of the soil, show apparent higher organic matter on the West side of the tree than the East due to accumulated wind blown litter by prevalent wind direction, and organic matter, N, P and K levels were higher under the tree canopy than outside for all directions and depths studied. Soil pH, exchangeable Na, Ca and Mg under the canopy and outside were similar. Available water capacity was 1.5 to 2 times more under than outside the tree. Noticeable increases in the silt fraction under the tree was recorded and discussed in relation to soil condition improvement and plant growth.", "keywords": ["faidherbia albida", "canopy", "water content", "0106 biological sciences", "nutrient content", "highlands", "0401 agriculture", " forestry", " and fisheries", "vertisols", "trees", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "organic matter"], "contacts": [{"organization": "Kamara, C.S., Haque, I.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/bf00114814"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agroforestry%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/bf00114814", "name": "item", "description": "10.1007/bf00114814", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/bf00114814"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1992-04-01T00:00:00Z"}}, {"id": "10.1007/s11104-011-0728-8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:14:57Z", "type": "Journal Article", "created": "2011-02-22", "title": "Soil Water Content, Maize Yield And Its Stability As Affected By Tillage And Crop Residue Management In Rainfed Semi-Arid Highlands", "description": "Rainfed crop management systems need to be optimized to provide more resilient options to cope with projected climatic scenarios forecasting a decrease in mean precipitation and more frequent extreme drought periods in Mexico. Soil water content (0\u201360\u00a0cm) was measured during three crop cycles in maize plots with different agronomic management practices in a long-term rainfed experiment (established in 1991) in the highlands of Mexico. Maize yields of 1997\u20132009 were reported. Crop management practices varied in (1) tillage (conventional [CT] vs. zero tillage [ZT]) and (2) residue management (full or partial retention and removal). ZT with residue retention had higher soil water content than management practices involving CT and ZT with residue removal which provided a buffer for drought periods during the growing seasons. In 2009, a cycle with a prolonged drought during vegetative growth, this resulted in yield differences of up to 4.7\u00a0Mg ha\u22121 between ZT with (partial) residue retention and the other practices. Averaged over 1997\u20132009, these practices had a yield advantage of approximately 1.5\u00a0Mg ha\u22121 over practices involving CT and ZT with residue removal. ZT with (partial) residue retention used rainfall more efficiently and resulted in a more resilient agronomic system than practices involving either CT or ZT with residue removal.", "keywords": ["2. Zero hunger", "rainfed farming", "0401 agriculture", " forestry", " and fisheries", "soil water content", "04 agricultural and veterinary sciences", "15. Life on land", "maize", "climate", "6. Clean water", "agriculture"]}, "links": [{"href": "https://doi.org/10.1007/s11104-011-0728-8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-011-0728-8", "name": "item", "description": "10.1007/s11104-011-0728-8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-011-0728-8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-02-23T00:00:00Z"}}, {"id": "10.1016/j.rse.2018.03.035", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:38Z", "type": "Journal Article", "created": "2018-04-09", "title": "Enhanced canopy growth precedes senescence in 2005 and 2010 Amazonian droughts", "description": "Abstract   Unprecedented droughts hit southern Amazonia in 2005 and 2010, causing a sharp increase in tree mortality and carbon loss. To better predict the rainforest's response to future droughts, it is necessary to understand its behavior during past events. Satellite observations provide a practical source of continuous observations of Amazonian forest. Here we used a passive microwave-based vegetation water content record (i.e., vegetation optical depth, VOD), together with multiple hydrometeorological observations as well as conventional satellite vegetation measures, to investigate the rainforest canopy dynamics during the 2005 and 2010 droughts. During the onset of droughts in the wet-to-dry season (May\u2013July) of both years, we found large-scale positive anomalies in VOD, leaf area index (LAI) and enhanced vegetation index (EVI) over the southern Amazonia. These observations are very likely caused by enhanced canopy growth. Concurrent below-average rainfall and above-average radiation during the wet-to-dry season can be interpreted as an early arrival of normal dry season conditions, leading to enhanced new leaf development and ecosystem photosynthesis, as supported by field observations. Our results suggest that further rainfall deficit into the subsequent dry season caused water and heat stress during the peak of 2005 and 2010 droughts (August\u2013October) that exceeded the tolerance limits of the rainforest, leading to widespread negative VOD anomalies over the southern Amazonia. Significant VOD anomalies were observed mainly over the western part in 2005 and mainly over central and eastern parts in 2010. The total area with significant negative VOD anomalies was comparable between these two drought years, though the average magnitude of significant negative VOD anomalies was greater in 2005. This finding broadly agrees with the field observations indicating that the reduction in biomass carbon uptake was stronger in 2005 than 2010. The enhanced canopy growth preceding drought-induced senescence should be taken into account when interpreting the ecological impacts of Amazonian droughts.", "keywords": ["0301 basic medicine", "550", "Canopy water content", "Amazonian droughts", "satellite", "15. Life on land", "01 natural sciences", "6. Clean water", "Vapor pressure deficit", "Surface temperature", "03 medical and health sciences", "Passive microwave", "Satellite", "13. Climate action", "Soil water deficit", "canopy water content", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://scholarworks.iupui.edu/bitstream/1805/17654/1/Liu_2018_enhanced.pdf"}, {"href": "https://doi.org/10.1016/j.rse.2018.03.035"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing%20of%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rse.2018.03.035", "name": "item", "description": "10.1016/j.rse.2018.03.035", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rse.2018.03.035"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-01T00:00:00Z"}}, {"id": "10.1080/02827581.2018.1562567", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:59Z", "type": "Journal Article", "created": "2019-01-07", "title": "Predicting forwarder rut formation on fine-grained mineral soils", "description": "Predictive factors for forwarder rut formation were studied on fine-grained mineral soils. The study was carried out in southern Finland in mid-May, when the soil water contents were high after sno...", "keywords": ["fine-grained soil", "soil damage", "ta1171", "rut formation", "0401 agriculture", " forestry", " and fisheries", "penetration resistance", "04 agricultural and veterinary sciences", "volumetric water content", "15. Life on land", "ta4112", "forest machinery"]}, "links": [{"href": "https://www.tandfonline.com/doi/pdf/10.1080/02827581.2018.1562567"}, {"href": "https://doi.org/10.1080/02827581.2018.1562567"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scandinavian%20Journal%20of%20Forest%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1080/02827581.2018.1562567", "name": "item", "description": "10.1080/02827581.2018.1562567", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1080/02827581.2018.1562567"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-06T00:00:00Z"}}, {"id": "10.3390/rs10091495", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:32Z", "type": "Journal Article", "created": "2018-09-19", "title": "Irrigation Mapping Using Sentinel-1 Time Series at Field Scale", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The recently launched Sentinel-1 satellite with a Synthetic Aperture Radar (SAR) sensor onboard offers a powerful tool for irrigation monitoring under various weather conditions, with high spatial and temporal resolution. This research discusses the potential of different metrics calculated from the Sentinel-1 time series for mapping irrigated fields. A methodology for irrigation mapping using SAR data is proposed. The study is performed using VV (vertical\u2013vertical) and VH (vertical\u2013horizontal) polarizations over an agricultural site in Urgell, Catalunya (Spain). With field segmentation information from SIGPAC (the Geographic Information System for Agricultural Parcels), the backscatter intensities are averaged within each field. From the Sentinel-1 time series for each field, the statistics and metrics, including the mean value, the variance of the signal, the correlation length, and the fractal dimension, are analyzed. With the Support Vector Machine (SVM), the classification of irrigated crops, irrigated trees, and non-irrigated fields is performed with the metrics vector. The results derived from the SVM are validated with ground truthing from SIGPAC over the whole study area, with a good overall accuracy of 81.08%. Random Forest (RF) machine classification is also tested in this study, which gives an accuracy of around 82.2% when setting the tree depth at three. The methodology is based only on SAR data, which makes it applicable to all areas, even with frequent cloud cover, but this method may be less robust when irrigation is less dominated to soil moisture change.</p></article>", "keywords": ["[SDE] Environmental Sciences", "550", "Science", "IMAGE SATELLITE", "irrigated farming", "0211 other engineering and technologies", "0207 environmental engineering", "02 engineering and technology", "630", "irrigation", "remote sensing", "cartography", "CULTURE IRRIGUEE", "TELEDETECTION", "CARTOGRAPHIE", "2. Zero hunger", "HUMIDITE DU SOL", "Q", "soil water content", "15. Life on land", "6. Clean water", "classification", "[SDE]Environmental Sciences", "Sentinel-1", "soil moisture", "soil moisture; SAR; Sentinel-1; irrigation; classification", "SAR"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/10/9/1495/pdf"}, {"href": "https://doi.org/10.3390/rs10091495"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs10091495", "name": "item", "description": "10.3390/rs10091495", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs10091495"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-18T00:00:00Z"}}, {"id": "10.1594/pangaea.261535", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:19:24Z", "type": "Dataset", "title": "Physical properties of sediment core GIK23291-2", "keywords": ["wet bulk", "M7/3", "Gravity corer (Kiel type)", "Density", "DEPTH", " sediment/rock", "Quaternary Environment of the Eurasian North QUEEN", "Water content", " dry mass", "dry mass", "M7 3", "Density", " dry bulk", "Calculated", "Pore number", "Meteor 1986", "Water content", "Meteor (1986)", "dry bulk", "Calculated from mass volume", "Global Environmental Change: The Northern North Atlantic (SFB313)", "sediment rock", "Gravity corer Kiel type", "Density", " wet bulk", "Calculated from weight/volume", "Quaternary Environment of the Eurasian North (QUEEN)", "DEPTH", "Global Environmental Change The Northern North Atlantic SFB313", "Earth System Research", "Calculated from mass/volume", "Porosity"], "contacts": [{"organization": "Holler, Peter R, Kassens, Heidemarie,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1594/pangaea.261535"}, {"rel": "self", "type": "application/geo+json", "title": "10.1594/pangaea.261535", "name": "item", "description": "10.1594/pangaea.261535", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1594/pangaea.261535"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-01-01T00:00:00Z"}}, {"id": "10.17221/846/2012-pse", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:19:27Z", "type": "Journal Article", "created": "2018-02-10", "title": "Long-Term Effects Of Returning Wheat Straw To Croplands On Soil Compaction And Nutrient Availability Under Conventional Tillage", "description": "To investigate the effects of returning wheat straw to croplands on soil compaction and nutrient availability, this trial was designed: (1) planted crops without fertilization (NF); (2) natural land without human activities (CT); (3) applied mineral fertilizers in combination with 7500 kg/ha wheat straw (WS-NPK); (4) applied mineral fertilizers in combination with 3750 kg/ha wheat straw (1/2WS-NPK); and (5) applied mineral fertilizers alone (NPK). It is found that, compared with NPK, the soil bulk density in 1/2WS-NPK and WS-NPK both decreased by more than 10% in the 0 cm to 15 cm layer, and by 6.93% and 9.14% in the 15 cm to 20 cm, respectively. Furthermore, in contrast to NPK, the soil available nitrogen in the 0 cm to 25 cm layer in 1/2WS-NPK and WS-NPK were higher by 17.43% and 35.19%, and the soil available potassium were higher by 7.66% and 17.47%, respectively. For soil available phosphorus in the depth of 5 cm to 25 cm, it was higher by 18.51% in 1/2WS-NPK and by 56.97% in WS-NPK, respectively. Therefore, returning wheat straw to croplands effectively improves soil compaction and nutrients availability, and the improvement in soil nitrogen and phosphorus availability is closely related to the amount of wheat straw.", "keywords": ["2. Zero hunger", "soil organic matter", "soil nitrogen", "soil phosphorus", "Plant culture", "0401 agriculture", " forestry", " and fisheries", "soil water content", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "soil bulk density", "SB1-1110"], "contacts": [{"organization": "D. Z. Wang, Z. Guo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.17221/846/2012-pse"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%2C%20Soil%20and%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.17221/846/2012-pse", "name": "item", "description": "10.17221/846/2012-pse", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.17221/846/2012-pse"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-06-30T00:00:00Z"}}, {"id": "10.17221/245/2014-pse", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:19:27Z", "type": "Journal Article", "created": "2018-02-10", "title": "Impact Of Tillage On Physical Characteristics In A Mollisol Of Northeast China", "description": "Soil management is aimed at the maintenance of optimal soil physical quality for crop production. In order to explore the effects of tillage practices on soil physical properties, a study was conducted to compare the effects of no tillage (NT), moldboard plow (MP) and ridge tillage (RT) on soil bulk density (BD), soil penetration resistance (SPR), soil water content (SWC), soil macroporosity (MAC) and soil air-filled porosity (AFP) in Northeast China. Results showed that both NT and RT led to significant BD increment than MP at 0-20 cm (P &lt; 0.05). Compared with MP, NT and RT increased SPR at the depths of 2.5-17.5 cm (P &lt; 0.05). SWC of 0-10 cm layer was significantly higher in NT and RT than MP soils (P &lt; 0.05). NT showed a significantly lower MAC than MP and RT at 0-20 cm soil depths (P &lt; 0.05). All AFP values were above the limit of 0.10 cm3/cm3 under all tillage treatments. RT improved the soil physical quality as evidenced by decreased BD and SPR, and increased SWC, MAC and AFP relative to NT.", "keywords": ["2. Zero hunger", "soil air-filled porosity", "Plant culture", "0401 agriculture", " forestry", " and fisheries", "soil water content", "04 agricultural and veterinary sciences", "15. Life on land", "soil macroporosity", "6. Clean water", "soil bulk density", "soil penetration resistance", "SB1-1110"], "contacts": [{"organization": "Wei Shuangshi, Xuewen Chen, Shuxia Jia, Xiao-Ping Zhang, Aizhen Liang,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.17221/245/2014-pse"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%2C%20Soil%20and%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.17221/245/2014-pse", "name": "item", "description": "10.17221/245/2014-pse", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.17221/245/2014-pse"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-07-31T00:00:00Z"}}, {"id": "10.3390/land10121362", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:27Z", "type": "Journal Article", "created": "2021-12-10", "title": "Soil Water Retention as Affected by Management Induced Changes of Soil Organic Carbon: Analysis of Long-Term Experiments in Europe", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Soil water retention (SWR) is an important soil property related to soil structure, texture, and organic matter (SOM), among other properties. Agricultural management practices affect some of these properties in an interdependent way. In this study, the impact of management-induced changes of soil organic carbon (SOC) on SWR is evaluated in five long-term experiments in Europe (running from 8 up to 54 years when samples were taken). Topsoil samples (0\u201315 cm) were collected and analysed to evaluate the effects of three different management categories, i.e., soil tillage, the addition of exogenous organic materials, the incorporation of crop residues affecting SOC and water content under a range of matric potentials. Changes in the total SOC up to 10 g C kg\u22121 soil (1%) observed for the different management practices, do not cause statistically significant differences in the SWR characteristics as expected. The direct impact of the SOC on SWR is consistent but negligible, whereas the indirect impact of SOC in the higher matric potentials, which are mainly affected by soil structure and aggregate composition, prevails. The different water content responses under the various matric potentials to SOC changes for each management group implies that one conservation measure alone has a limited effect on SWR and only a combination of several practices that lead to better soil structure, such as reduced soil disturbances combined with increased SOM inputs can lead to better water holding capacity of the soil.</p></article>", "keywords": ["2. Zero hunger", "no-till", "compost", "S", "Agriculture", "reduced tillage", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "soil organic carbon", "manure", "0401 agriculture", " forestry", " and fisheries", "soil organic carbon; soil-water content; no-till; reduced tillage; manure; compost; soil care", "soil-water content"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/10/12/1362/pdf"}, {"href": "https://www.research.unipd.it/bitstream/11577/3454795/1/land-10-01362-v2.pdf"}, {"href": "https://www.mdpi.com/2073-445X/10/12/1362/pdf"}, {"href": "https://doi.org/10.3390/land10121362"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/land10121362", "name": "item", "description": "10.3390/land10121362", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/land10121362"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-09T00:00:00Z"}}, {"id": "10.3390/rs9111155", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:35Z", "type": "Journal Article", "created": "2017-11-10", "title": "Disaggregation of SMOS Soil Moisture to 100 m Resolution Using MODIS Optical/Thermal and Sentinel-1 Radar Data: Evaluation over a Bare Soil Site in Morocco", "description": "<p>The 40 km resolution SMOS (Soil Moisture and Ocean Salinity) soil moisture, previously disaggregated at a 1 km resolution using the DISPATCH (DISaggregation based on Physical And Theoretical scale CHange) method based on MODIS optical/thermal data, is further disaggregated to 100 m resolution using Sentinel-1 backscattering coefficient (\uffcf\uff83\uffc2\uffb0). For this purpose, three distinct radar-based disaggregation methods are tested by linking the spatio-temporal variability of \uffcf\uff83\uffc2\uffb0 and soil moisture data at the 1 km and 100 m resolution. The three methods are: (1) the weight method, which estimates soil moisture at 100 m resolution at a certain time as a function of \uffcf\uff83\uffc2\uffb0 ratio (100 m to 1 km resolution) and the 1 km DISPATCH products of the same time; (2) the regression method which estimates soil moisture as a function of \uffcf\uff83\uffc2\uffb0 where the regression parameters (e.g., intercept and slope) vary in space and time; and (3) the Cumulative Distribution Function (CDF) method, which estimates 100 m resolution soil moisture from the cumulative probability of 100 m resolution backscatter and the maximum to minimum 1 km resolution (DISPATCH) soil moisture difference. In each case, disaggregation results are evaluated against in situ measurements collected between 1 January 2016 and 11 October 2016 over a bare soil site in central Morocco. The determination coefficient (R2) between 1 km resolution DISPATCH and localized in situ soil moisture is 0.31. The regression and CDF methods have marginal effect on improving the DISPATCH accuracy at the station scale with a R2 between remotely sensed and in situ soil moisture of 0.29 and 0.34, respectively. By contrast, the weight method significantly improves the correlation between remotely sensed and in situ soil moisture with a R2 of 0.52. Likewise, the soil moisture estimates show low root mean square difference with in situ measurements (RMSD= 0.032 m3 m\uffe2\uff88\uff923).</p>", "keywords": ["soil moisture and ocean salinity satellite (SMOS)", "Atmospheric Science", "Artificial intelligence", "Environmental Engineering", "550", "Science", "Soil Moisture", "0211 other engineering and technologies", "Aerospace Engineering", "FOS: Mechanical engineering", "02 engineering and technology", "01 natural sciences", "Environmental science", "[SDU] Sciences of the Universe [physics]", "Engineering", "Meteorology", "DISPATCH", "Image resolution", "Arctic Permafrost Dynamics and Climate Change", "14. Life underwater", "Moisture", "0105 earth and related environmental sciences", "Soil science", "Water content", "Radar", "Geography", "soil moisture and ocean salinity satellite (SMOS); DISPATCH; radar; Sentinel-1; disaggregation; soil moisture", "Soilmoisture and ocean salinity satellite (SMOS)", "Synthetic Aperture Radar Interferometry", "Q", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "Remote Sensing of Soil Moisture", "Surface Deformation Monitoring", "Computer science", "Earth and Planetary Sciences", "Groundwater Extraction", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "disaggregation", "Environmental Science", "Physical Sciences", "Sentinel-1", "soil moisture", "radar"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/9/11/1155/pdf"}, {"href": "https://doi.org/10.3390/rs9111155"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs9111155", "name": "item", "description": "10.3390/rs9111155", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs9111155"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-10T00:00:00Z"}}, {"id": "10.3390/rs12244018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:33Z", "type": "Journal Article", "created": "2020-12-08", "title": "Linkages between Rainfed Cereal Production and Agricultural Drought through Remote Sensing Indices and a Land Data Assimilation System: A Case Study in Morocco", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In Morocco, cereal production shows high interannual variability due to uncertain rainfall and recurrent drought periods. Considering the socioeconomic importance of cereal for the country, there is a serious need to characterize the impact of drought on cereal yields. In this study, drought is assessed through (1) indices derived from remote sensing data (the vegetation condition index (VCI), temperature condition index (TCI), vegetation health ind ex (VHI), soil moisture condition index (SMCI) and soil water index for different soil layers (SWI)) and (2) key land surface variables (Land Area Index (LAI), soil moisture (SM) at different depths, soil evaporation and plant transpiration) from a Land Data Assimilation System (LDAS) over 2000\u20132017. A lagged correlation analysis was conducted to assess the relationships between the drought indices and cereal yield at monthly time scales. The VCI and LAI around the heading stage (March-April) are highly linked to yield for all provinces (R = 0.94 for the Khemisset province), while a high link for TCI occurs during the development stage in January-February (R = 0.83 for the Beni Mellal province). Interestingly, indices related to soil moisture in the superficial soil layer are correlated with yield earlier in the season around the emergence stage (December). The results demonstrate the clear added value of using an LDAS compared with using a remote sensing product alone, particularly concerning the soil moisture in the root-zone, considered a key variable for yield production, that is not directly observable from space. The time scale of integration is also discussed. By integrating the indices on the main phenological stages of wheat using a dynamic threshold approach instead of the monthly time scale, the correlation between indices and yield increased by up to 14%. In addition, the contributions of VCI and TCI to VHI were optimized by using yield anomalies as proxies for drought. This study opens perspectives for the development of drought early warning systems in Morocco and over North Africa, as well as for seasonal crop yield forecasting.</p></article>", "keywords": ["[SDE] Environmental Sciences", "550", "Science", "0207 environmental engineering", "Agricultural drought", "02 engineering and technology", "01 natural sciences", "630", "Environmental science", "remote sensing", "Land data assimilation systems", "Pathology", "assimilation systems", "Biology", "land data assimilation systems", "0105 earth and related environmental sciences", "2. Zero hunger", "Global and Planetary Change", "Vegetation Monitoring", "Water content", "Ecology", "Drought", "Global Forest Drought Response and Climate Change", "Q", "Hydrology (agriculture)", "Geology", "cereal yield", "Remote Sensing in Vegetation Monitoring and Phenology", "FOS: Earth and related environmental sciences", "Remote sensing", "semiarid region", "15. Life on land", "agricultural drought", "Agronomy", "6. Clean water", "Cereal yield", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "[SDE]Environmental Sciences", "Global Drought Monitoring and Assessment", "Environmental Science", "Physical Sciences", "Leaf area index", "Medicine", "Semiarid region", "land data", "Vegetation (pathology)"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://doi.org/10.3390/rs12244018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs12244018", "name": "item", "description": "10.3390/rs12244018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs12244018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-08T00:00:00Z"}}, {"id": "10.3390/plants9121804", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:31Z", "type": "Journal Article", "created": "2020-12-21", "title": "Genotype \u00d7 Environment Interaction for Wheat Yield Traits Suitable for Selection in Different Seed Priming Conditions", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Different seed priming treatments are widely used in order to improve the nutritional status of wheat, as well as to improve its grain yield and yield- related traits. The present study aimed to evaluate the impact of seed priming with zinc oxide nanoparticles (ZnO NPs) on the yield related traits, such as, field emergence, plant height, spike length and grain yield per plant of four winter wheat genotypes (Triticum aestivum L.) during two vegetation seasons of 2018/2019 and 2019/2020. The seeds of each wheat genotypes were primed with different concentrations of ZnO NPs (0 mg L\u22121, 10 mg L\u22121, 100 mg L\u22121 and 1000 mg L\u22121) for 48 h in a dark box by continuous aeration and were sown in soil pots with 60\u201370% moisture content until full maturity. The additive main effects and multiplicative interaction (AMMI) models were used to study the genotype environment effects. The results indicated that the plants response to ZnO nanoparticles significantly increased all of the observed traits of the wheat, while its maximum rates reduced the traits of the wheat. The AMMI analysis revealed the very complex nature of the variation observed in the trial and showed the significant effect of the G\u00d7E interaction, in which the first main component was significant for all components.</p></article>", "keywords": ["0106 biological sciences", "2. Zero hunger", "wheat;\u00a0zinc oxide nanoparticles;\u00a0GEI;\u00a0AMMI", "AMMI", "GEI", "Botany", "zinc oxide nanoparticles", "Ammi", "Vegetation", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Article", "Seed priming", "Horticulture", "13. Climate action", "wheat", "QK1-989", "Grain yield", "0401 agriculture", " forestry", " and fisheries", "Multiplicative interaction", "Gene\u2013environment interaction", "Aeration", "Water content"]}, "links": [{"href": "http://www.mdpi.com/2223-7747/9/12/1804/pdf"}, {"href": "https://www.mdpi.com/2223-7747/9/12/1804/pdf"}, {"href": "https://doi.org/10.3390/plants9121804"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plants", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/plants9121804", "name": "item", "description": "10.3390/plants9121804", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/plants9121804"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-19T00:00:00Z"}}, {"id": "10.3390/s17091966", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:35Z", "type": "Journal Article", "created": "2017-08-28", "title": "Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at 100 m Resolution", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The recent deployment of ESA\u2019s Sentinel operational satellites has established a new paradigm for remote sensing applications. In this context, Sentinel-1 radar images have made it possible to retrieve surface soil moisture with a high spatial and temporal resolution. This paper presents two methodologies for the retrieval of soil moisture from remotely-sensed SAR images, with a spatial resolution of 100 m. These algorithms are based on the interpretation of Sentinel-1 data recorded in the VV polarization, which is combined with Sentinel-2 optical data for the analysis of vegetation effects over a site in Urgell (Catalunya, Spain). The first algorithm has already been applied to observations in West Africa by Zribi et al., 2008, using low spatial resolution ERS scatterometer data, and is based on change detection approach. In the present study, this approach is applied to Sentinel-1 data and optimizes the inversion process by taking advantage of the high repeat frequency of the Sentinel observations. The second algorithm relies on a new method, based on the difference between backscattered Sentinel-1 radar signals observed on two consecutive days, expressed as a function of NDVI optical index. Both methods are applied to almost 1.5 years of satellite data (July 2015\u2013November 2016), and are validated using field data acquired at a study site. This leads to an RMS error in volumetric moisture of approximately 0.087 m3/m3 and 0.059 m3/m3 for the first and second methods, respectively. No site calibrations are needed with these techniques, and they can be applied to any vegetation-covered area for which time series of SAR data have been recorded.</p></article>", "keywords": ["[SDE] Environmental Sciences", "NDVI", "Chemical technology", "HUMIDITE DU SOL", "soil moisture; SAR; Sentinel-1; NDVI; Sentinel-2; change detection", "0211 other engineering and technologies", "soil water content", "TP1-1185", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Article", "remote sensing", "Sentinel-1", "cartography", "soil moisture", "Sentinel-2", "TELEDETECTION", "change detection", "CARTOGRAPHIE", "SAR", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/17/9/1966/pdf"}, {"href": "https://doi.org/10.3390/s17091966"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/s17091966", "name": "item", "description": "10.3390/s17091966", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s17091966"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-08-26T00:00:00Z"}}, {"id": "10.3390/su15097193", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:37Z", "type": "Journal Article", "created": "2023-04-26", "title": "Trend for Soil CO2 Efflux in Grassland and Forest Land in Relation with Meteorological Conditions and Root Parameters", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The key process in understanding carbon dynamics under different ecosystems is quantifying soil CO2 efflux. However, this process can change annually as it depends on environmental variables. The results of this paper present the effects of root network, soil temperature, and volumetric water content on soil CO2 efflux, which were investigated on Retisol of two types of land uses in Western Lithuania in 2017\u20132019: forest and grassland. It was determined that the average soil CO2 efflux in the grassland was 32% higher than in the forest land. The CO2 efflux, average across land uses, tended to increase in the following order: 2017 &lt; 2018 &lt; 2019. Dry weather conditions with high temperatures during the vegetation period governed the soil CO2 efflux increase by 14%. Soil temperature (up to 20 \u00b0C) and volumetric water content (up to 23\u201325%) had a positive effect on the soil CO2 efflux increase on Retisol. We established that the root\u2019s activity plays one of the main roles in the CO2 production rate\u2014in both land uses, the soil CO2 efflux was influenced by the root length density and the root volume.</p></article>", "keywords": ["Retisol", "root volume", "soil temperature", "13. Climate action", "<i>Retisol</i>; CO<sub>2</sub> efflux; root volume; soil temperature; volumetric water content", "15. Life on land", "volumetric water content", "CO2 e-flux", "6. Clean water"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/15/9/7193/pdf"}, {"href": "https://www.mdpi.com/2071-1050/15/9/7193/pdf"}, {"href": "https://doi.org/10.3390/su15097193"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/su15097193", "name": "item", "description": "10.3390/su15097193", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su15097193"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-26T00:00:00Z"}}, {"id": "10.3785/j.issn.1008-9209.2012.07.262", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:42Z", "type": "Journal Article", "description": "Soil respiration is the primary way by which CO<sub>2</sub> absorbed by terrestrial plants returns to the atmosphere. And it may have distinctly dynamic patterns at different temporal scales since it is affected by diverse abiotic and biotic factors. Increasing deposition of nitrogen from the traditional cultivation of sympodial bamboos may lead to the sequestration of carbon in vegetation and soil. And the rising temperature and water content may increase the flux of CO<sub>2</sub> from the soil, but the response of the ecosystem to simultaneous changes in all of these factors is still unknown. Meanwhile, to provide abundant supply of bamboo timber, afforestation of bamboo species such as Oxytenanthera braunii Pilger ap. Engler, Dendrocalamus brandisii Kurz and D. giganteus Munro is encouraged by the government but without scientific directions. And chemical fertilizers are usually applied into fields unscientifically and blindly in the villages of southwest China. Subsequently, what will happen to the soil structure and how to balance soil nutrient environment in the situation of chemical fertilizer abuse?In the context of climate change, the amount of nitrogen allocated to the soil is predicted to increase with the productivity of terrestrial ecosystem, and may alter soil carbon storage capacities. To provide the proof of soil respiration responding to the nitrogen input for sympodial bamboo afforestation at the beginning period, we set up four nitrogen fertilization (CO (NH<sub>2</sub>)<sub>2</sub>) levels in mid-high mountain of southeast China, i. e. N content of 0, 40, 80, 160 kg/hm<sup>2</sup>(expressed on N<sub>0</sub>, N<sub>40</sub>, N<sub>80</sub>, N<sub>160</sub>, respectively), using the two-year old stump of wine bamboo which were planted every five meters. The soil respiration rate is measured by using trenching method and infrared gas analyzer. The responding mechanism is discussed through analyzing the change of soil temperature at 10 cm depth (T10), as well as changes of soil water-soluble organic carbon content (WSOC) and soil water content (SW).Results showed that soil respiration rate was quite different between rainy and dry seasons. The soil respiration rate increased at the end of April or in the beginning of May when the rainy season arrived. Its wave crest arrived in July, Aug. and Sept., and then the rate decreased along with the dry season in Nov., Dec., Feb. and Mar., then the trough of soil respiration rate appeared. The variation rule of T10, WSOC and SW was similar as this way. Exponential function could be used to describe the relationship between T10 and respiration rate. Meanwhile, WSOC and SW showed a linear relationship with the respiration rate respectively, and the regression test indicted that it was significant. And the temperature sensitivity value Q10 of a whole year was 2.45 -2.78 nearby. In rainy season, Q10 decreased to 1.66 - 1.89, which indicated that the sensitivity of respiration rate responding to temperature decreased. On the contrary, Q10 ascended to 4.85 - 9.54 in dry season. The yearly data of WSOC were unstable, and the nitrogen input could not enhance T10 and SW, but N<sub>80</sub> and N<sub>160</sub> could increase WSOC relatively. The changes of SW and T10 explained 96.10%, 94.30%, 94.48% and 92.99% of the variation of soil respiration rate in the treatment of N<sub>0</sub>, N<sub>40</sub>, N<sub>80</sub> and N<sub>160</sub>, which contributed most of the information. The main factor affecting the soil respiration in rainy and dry seasons was quite different, which was SW and T10 respectively.As a consequence, the increase in ecosystem productivity may lead to an increase in carbon turnover in the soil, via an increase in the amount of biomass. But its process and mechanism involving different carbon pools are very complex, and to measure the soil respiration rate alone can not totally reflect the whole change of carbon cycle. Experiments of further control that involves different carbon pools interaction appending to the measurements of CO<sub>2</sub> emission will help to clarify the relative importance of bulk soil and micro-relationship in the prime effect.", "keywords": ["afforestation in semiarid region", "bamboo cultivation", "soil temperature", "QH301-705.5", "Agriculture (General)", "soil water content", "Biology (General)", "soil water-soluble organic carbon content", "S1-972"], "contacts": [{"organization": "Wang ShuDong, Li Weicheng, Wang Shuguang, Zhong ZheKe, Zheng Youmiao, Sheng Haiyan,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.3785/j.issn.1008-9209.2012.07.262"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/%E6%B5%99%E6%B1%9F%E5%A4%A7%E5%AD%A6%E5%AD%A6%E6%8A%A5.%20%E5%86%9C%E4%B8%9A%E4%B8%8E%E7%94%9F%E5%91%BD%E7%A7%91%E5%AD%A6%E7%89%88", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3785/j.issn.1008-9209.2012.07.262", "name": "item", "description": "10.3785/j.issn.1008-9209.2012.07.262", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3785/j.issn.1008-9209.2012.07.262"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-05-01T00:00:00Z"}}, {"id": "10.5194/essd-13-3707-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:15Z", "type": "Journal Article", "created": "2021-01-07", "title": "C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)", "description": "<p>Abstract. A better understanding of the hydrological functioning of irrigated crops using remote sensing observations is of prime importance in the semi-arid areas where the water resources are limited. Radar observations, available at high resolution and revisit time since the launch of Sentinel-1 in 2014, have shown great potential for the monitoring of the water content of the upper soil and of the canopy. In this paper, a complete set of data for radar signal analysis is shared to the scientific community for the first time to our knowledge. The data set is composed of Sentinel-1 products and in situ measurements of soil and vegetation variables collected during three agricultural seasons over drip-irrigated winter wheat in the Haouz plain in Morocco. The in situ data gathers soil measurements (time series of half-hourly surface soil moisture, surface roughness and agricultural practices) and vegetation measurements collected every week/two weeks including above-ground fresh and dry biomasses, vegetation water content based on destructive measurements, cover fraction, leaf area index and plant height. Radar data are the backscattering coefficient and the interferometric coherence derived from Sentinel-1 GRDH (Ground Range Detected High resolution) and SLC (Single Look Complex) products, respectively. The normalized difference vegetation index derived from Sentinel-2 data based on Level-2A (surface reflectance and cloud mask) atmospheric effects-corrected products is also provided. This database, which is the first of its kind made available in open access, is described here comprehensively in order to help the scientific community to evaluate and to develop new or existing remote sensing algorithms for monitoring wheat canopy under semi-arid conditions. The data set is particularly relevant for the development of radar applications including surface soil moisture and vegetation parameters retrieval using either physically based or empirical approaches such as machine and deep learning algorithms. The database is archived in the DataSuds repository and is freely-accessible via the DOI:  https://doi.org/10.23708/8D6WQC  (Ouaadi et al., 2020a).                         </p>", "keywords": ["550", "Arid", "Soil Moisture", "0211 other engineering and technologies", "FOS: Mechanical engineering", "02 engineering and technology", "Digital Soil Mapping Techniques", "Normalized Difference Vegetation Index", "630", "Agricultural and Biological Sciences", "Engineering", "Pathology", "GE1-350", "2. Zero hunger", "QE1-996.5", "Vegetation Monitoring", "Water content", "Ecology", "Geography", "Statistics", "Life Sciences", "Hydrology (agriculture)", "Geology", "Remote Sensing in Vegetation Monitoring and Phenology", "04 agricultural and veterinary sciences", "Remote sensing", "Soil Erosion and Agricultural Sustainability", "6. Clean water", "Satellite Observations", "Archaeology", "Physical Sciences", "Leaf area index", "Telecommunications", "Medicine", "Vegetation (pathology)", "Environmental Engineering", "Data set", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Aerospace Engineering", "Soil Science", "Environmental science", "Digital Soil Mapping", "[SDU] Sciences of the Universe [physics]", "Global Soil Information", "FOS: Mathematics", "Biology", "Radar", "Synthetic Aperture Radar Interferometry", "Canopy", "FOS: Environmental engineering", "Soil Properties", "Paleontology", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Surface Deformation Monitoring", "Computer science", "Agronomy", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "Mathematics"]}, "links": [{"href": "https://essd.copernicus.org/articles/13/3707/2021/essd-13-3707-2021.pdf"}, {"href": "https://doi.org/10.5194/essd-13-3707-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/essd-13-3707-2021", "name": "item", "description": "10.5194/essd-13-3707-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-13-3707-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-07T00:00:00Z"}}, {"id": "10.5194/hess-2019-105", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:19Z", "type": "Journal Article", "created": "2019-04-23", "title": "An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Thermal-based two-source energy balance modeling is very useful for estimating the land evapotranspiration (ET) at a wide range of spatial and temporal scales. However, the land surface temperature (LST) is not sufficient for constraining simultaneously both soil and vegetation flux components in such a way that assumptions (on either the soil or the vegetation fluxes) are commonly required. To avoid such assumptions, a new energy balance model (TSEB-SM) was recently developed in Ait Hssaine et al. (2018a) to integrate the microwave-derived near-surface soil moisture (SM), in addition to the thermal-derived LST and vegetation cover fraction (fc). Whereas, TSEB-SM has been recently tested using in-situ measurements, the objective of this paper is to evaluate the performance of TSEB-SM in real-life using 1\u2009km resolution MODIS (Moderate resolution imaging spectroradiometer) LST and fc data and the 1\u2009km resolution SM data disaggregated from SMOS (Soil Moisture and Ocean Salinity) observations by using DisPATCh. The approach is applied during a four-year period (2014\u20132018) over a rainfed wheat field in the Tensift basin, central Morocco, during a four-year period (2014\u20132018). The field was seeded for the 2014\u20132015 (S1), 2016\u20132017 (S2) and 2017\u20132018 (S3) agricultural season, while it was not ploughed (remained as bare soil) during the 2015\u20132016 (B1) agricultural season. The mean retrieved values of (arss, brss) calculated for the entire study period using satellite data are (7.32, 4.58). The daily calibrated \u03b1PT ranges between 0 and 1.38 for both S1 and S2. Its temporal variability is mainly attributed to the rainfall distribution along the agricultural season. For S3, the daily retrieved \u03b1PT remains at a mostly constant value (\u223c\u20090.7) throughout the study period, because of the lack of clear sky disaggregated SM and LST observations during this season. Compared to eddy covariance measurements, TSEB driven only by LST and fc data significantly overestimates latent heat fluxes for the four seasons. The overall mean bias values are 119, 94, 128 and 181\u2009W/m2 for S1, S2, S3 and B1 respectively. In contrast, these errors are much reduced when using TSEB-SM (SM and LST combined data) with the mean bias values estimated as 39, 4, 7 and 62\u2009W/m2 for S1, S2, S3 and B1 respectively.                         </p></article>", "keywords": ["Technology", "Atmospheric sciences", "550", "Soil Moisture", "0208 environmental biotechnology", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "Engineering", "Geography. Anthropology. Recreation", "Pathology", "GE1-350", "TD1-1066", "2. Zero hunger", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "T", "Soil Water Retention", "Moderate-resolution imaging spectroradiometer", "Hydrology (agriculture)", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Aerospace engineering", "Physical Sciences", "Medicine", "environment", "Vegetation (pathology)", "Latent heat", "Mechanics and Transport in Unsaturated Soils", "Land cover", "Environmental Engineering", "0207 environmental engineering", "Energy balance", "Thermal Effects on Soil", "Environmental science", "[SDU] Sciences of the Universe [physics]", "G", "Meteorology", "Civil engineering", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "FOS: Civil engineering"]}, "links": [{"href": "https://hess.copernicus.org/articles/24/1781/2020/hess-24-1781-2020.pdf"}, {"href": "https://doi.org/10.5194/hess-2019-105"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-2019-105", "name": "item", "description": "10.5194/hess-2019-105", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-2019-105"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}, {"id": "10.5194/hess-24-1781-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:19Z", "type": "Journal Article", "created": "2019-04-23", "title": "An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data", "description": "<p>Abstract. Thermal-based two-source energy balance modeling is very useful for estimating the land evapotranspiration (ET) at a wide range of spatial and temporal scales. However, the land surface temperature (LST) is not sufficient for constraining simultaneously both soil and vegetation flux components in such a way that assumptions (on either the soil or the vegetation fluxes) are commonly required. To avoid such assumptions, a new energy balance model (TSEB-SM) was recently developed in Ait Hssaine et al. (2018a) to integrate the microwave-derived near-surface soil moisture (SM), in addition to the thermal-derived LST and vegetation cover fraction (fc). Whereas, TSEB-SM has been recently tested using in-situ measurements, the objective of this paper is to evaluate the performance of TSEB-SM in real-life using 1\uffe2\uff80\uff89km resolution MODIS (Moderate resolution imaging spectroradiometer) LST and fc data and the 1\uffe2\uff80\uff89km resolution SM data disaggregated from SMOS (Soil Moisture and Ocean Salinity) observations by using DisPATCh. The approach is applied during a four-year period (2014\uffe2\uff80\uff932018) over a rainfed wheat field in the Tensift basin, central Morocco, during a four-year period (2014\uffe2\uff80\uff932018). The field was seeded for the 2014\uffe2\uff80\uff932015 (S1), 2016\uffe2\uff80\uff932017 (S2) and 2017\uffe2\uff80\uff932018 (S3) agricultural season, while it was not ploughed (remained as bare soil) during the 2015\uffe2\uff80\uff932016 (B1) agricultural season. The mean retrieved values of (arss, brss) calculated for the entire study period using satellite data are (7.32, 4.58). The daily calibrated \uffce\uffb1PT ranges between 0 and 1.38 for both S1 and S2. Its temporal variability is mainly attributed to the rainfall distribution along the agricultural season. For S3, the daily retrieved \uffce\uffb1PT remains at a mostly constant value (\uffe2\uff88\uffbc\uffe2\uff80\uff890.7) throughout the study period, because of the lack of clear sky disaggregated SM and LST observations during this season. Compared to eddy covariance measurements, TSEB driven only by LST and fc data significantly overestimates latent heat fluxes for the four seasons. The overall mean bias values are 119, 94, 128 and 181\uffe2\uff80\uff89W/m2 for S1, S2, S3 and B1 respectively. In contrast, these errors are much reduced when using TSEB-SM (SM and LST combined data) with the mean bias values estimated as 39, 4, 7 and 62\uffe2\uff80\uff89W/m2 for S1, S2, S3 and B1 respectively.                         </p>", "keywords": ["Technology", "Atmospheric sciences", "550", "Soil Moisture", "0208 environmental biotechnology", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "Engineering", "Geography. Anthropology. Recreation", "Pathology", "GE1-350", "TD1-1066", "2. Zero hunger", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "T", "Soil Water Retention", "Moderate-resolution imaging spectroradiometer", "Hydrology (agriculture)", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Aerospace engineering", "Physical Sciences", "Medicine", "environment", "Vegetation (pathology)", "Latent heat", "Mechanics and Transport in Unsaturated Soils", "Land cover", "Environmental Engineering", "0207 environmental engineering", "Energy balance", "Thermal Effects on Soil", "Environmental science", "[SDU] Sciences of the Universe [physics]", "G", "Meteorology", "Civil engineering", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "FOS: Civil engineering"]}, "links": [{"href": "https://hess.copernicus.org/articles/24/1781/2020/hess-24-1781-2020.pdf"}, {"href": "https://doi.org/10.5194/hess-24-1781-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-24-1781-2020", "name": "item", "description": "10.5194/hess-24-1781-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-24-1781-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}, {"id": "10.5194/isprs-archives-xlii-3-w6-9-2019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:20Z", "type": "Journal Article", "created": "2019-07-29", "title": "EVAPOTRANSPIRATION AND EVAPORATION/TRANSPIRATION RETRIEVAL USING DUAL-SOURCE SURFACE ENERGY BALANCE MODELS INTEGRATING VIS/NIR/TIR DATA WITH SATELLITE SURFACE SOIL MOISTURE INFORMATION", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Evapotranspiration is an important component of the water cycle. For the agronomic management and ecosystem health monitoring, it is also important to provide an estimate of evapotranspiration components, i.e. transpiration and soil evaporation. To do so, Thermal InfraRed data can be used with dual-source surface energy balance models, because they solve separate energy budgets for the soil and the vegetation. But those models rely on specific assumptions on raw levels of plant water stress to get both components (evaporation and transpiration) out of a single source of information, namely the surface temperature. Additional information from remote sensing data are thus required. This works evaluates the ability of the SPARSE dual-source energy balance model to compute not only total evapotranspiration, but also water stress and transpiration/evaporation components, using either the sole surface temperature as a remote sensing driver, or a combination of surface temperature and soil moisture level derived from microwave data. Flux data at an experimental plot in semi-arid Morocco is used to assess this potentiality and shows the increased robustness of both the total evapotranspiration and partitioning retrieval performances. This work is realized within the frame of the Phase A activities for the TRISHNA CNES/ISRO Thermal Infra-Red satellite mission.                     </p></article>", "keywords": ["Technology", "Environmental Engineering", "550", "Ecosystem Resilience", "Soil Moisture", "Evaporation", "Energy balance", "Biochemistry", "Environmental science", "Transpiration", "Meteorology", "Artificial Intelligence", "Soil water", "Thermal Infrared", "Applied optics. Photonics", "Machine Learning Methods for Solar Radiation Forecasting", "Photosynthesis", "TRISHNA", "Water balance", "Biology", "Soil science", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "Global Forest Drought Response and Climate Change", "T", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "15. Life on land", "Engineering (General). Civil engineering (General)", "Remote Sensing of Soil Moisture", "6. Clean water", "TA1501-1820", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Computer Science", "TA1-2040", "Water cycle"]}, "links": [{"href": "https://doi.org/10.5194/isprs-archives-xlii-3-w6-9-2019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprs-archives-xlii-3-w6-9-2019", "name": "item", "description": "10.5194/isprs-archives-xlii-3-w6-9-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprs-archives-xlii-3-w6-9-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-26T00:00:00Z"}}, {"id": "10.5281/zenodo.10107603", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:23Z", "type": "Dataset", "title": "Physicochemical parameters of soils and substrates associated with Peltigera lichens in southern Chile", "description": "unspecifiedThe production of this dataset was supported by ANID \u2013 FONDECYT 1181510 and ANID \u2013 Programa Iniciativa Cient\u00edfica Milenio ICN2021_002.", "keywords": ["Soil", "Water content", "pH", "Peltigera", "Lichen", "Phosphorus", "15. Life on land", "Chile", "Nitrate", "Organic carbon", "Ammonium"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10107603"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10107603", "name": "item", "description": "10.5281/zenodo.10107603", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10107603"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-11-10T00:00:00Z"}}, {"id": "10.5281/zenodo.10454359", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:25Z", "type": "Journal Article", "created": "2023-04-26", "title": "Trend for Soil CO2 Efflux in Grassland and Forest Land in Relation with Meteorological Conditions and Root Parameters", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The key process in understanding carbon dynamics under different ecosystems is quantifying soil CO2 efflux. However, this process can change annually as it depends on environmental variables. The results of this paper present the effects of root network, soil temperature, and volumetric water content on soil CO2 efflux, which were investigated on Retisol of two types of land uses in Western Lithuania in 2017\u20132019: forest and grassland. It was determined that the average soil CO2 efflux in the grassland was 32% higher than in the forest land. The CO2 efflux, average across land uses, tended to increase in the following order: 2017 &lt; 2018 &lt; 2019. Dry weather conditions with high temperatures during the vegetation period governed the soil CO2 efflux increase by 14%. Soil temperature (up to 20 \u00b0C) and volumetric water content (up to 23\u201325%) had a positive effect on the soil CO2 efflux increase on Retisol. We established that the root\u2019s activity plays one of the main roles in the CO2 production rate\u2014in both land uses, the soil CO2 efflux was influenced by the root length density and the root volume.</p></article>", "keywords": ["Retisol", "root volume", "soil temperature", "13. Climate action", "<i>Retisol</i>; CO<sub>2</sub> efflux; root volume; soil temperature; volumetric water content", "15. Life on land", "volumetric water content", "CO2 e-flux", "6. Clean water"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/15/9/7193/pdf"}, {"href": "https://www.mdpi.com/2071-1050/15/9/7193/pdf"}, {"href": "https://doi.org/10.5281/zenodo.10454359"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10454359", "name": "item", "description": "10.5281/zenodo.10454359", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10454359"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-26T00:00:00Z"}}, {"id": "10.5281/zenodo.10814159", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:30Z", "type": "Dataset", "title": "Chemical composition, soil water content and 16S rRNA and ITS gene copy numbers of soil aggregates and bulk soil samples", "description": "This repository contains all data to reproduce the analyses presented in 'Distinct microbial communities are linked to organic matter properties in millimetre-sized soil aggregates', Simon et al 2024, The ISME Journal\u00a0(DOI: 10.1093/ismejo/wrae156).", "keywords": ["archaea", "bulk soil sample", "delta 15N", "soil water content", "fungi", "soil aggregate", "ITS gene copy numbers", "carbon content", "delta 13C", "nitrogen content", "16S rRNA gene copy numbers"], "contacts": [{"organization": "Simon, Eva, Kaiser, Christina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10814159"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10814159", "name": "item", "description": "10.5281/zenodo.10814159", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10814159"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-05T00:00:00Z"}}, {"id": "10.5281/zenodo.17742676", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:22:32Z", "type": "Dataset", "title": "Physicochemical parameters of Antarctic soils impacted by Pygoscelis penguins", "description": "unspecifiedThe production of this dataset was supported by ANID \u2013 FONDECYT 1241787 and ANID \u2013 Programa Iniciativa Cient\u00edfica Milenio ICN2021_002.", "keywords": ["Soil", "Water content", "pH", "Antarctica", "Phosphorus", "Nitrate", "Organic carbon", "Ammonium", "Penguin", "Pygoscelis"], "contacts": [{"organization": "Iannuzzi, Stefania, Gonz\u00e1lez, Mitza, Acu\u00f1a, Camilo, Gonz\u00e1lez, Javiera, Almendras, Katerin, Orlando, Julieta,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17742676"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17742676", "name": "item", "description": "10.5281/zenodo.17742676", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17742676"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-12-01T00:00:00Z"}}, {"id": "10.60692/7hann-x9205", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:26Z", "type": "Journal Article", "created": "2020-12-08", "title": "Linkages between Rainfed Cereal Production and Agricultural Drought through Remote Sensing Indices and a Land Data Assimilation System: A Case Study in Morocco", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In Morocco, cereal production shows high interannual variability due to uncertain rainfall and recurrent drought periods. Considering the socioeconomic importance of cereal for the country, there is a serious need to characterize the impact of drought on cereal yields. In this study, drought is assessed through (1) indices derived from remote sensing data (the vegetation condition index (VCI), temperature condition index (TCI), vegetation health ind ex (VHI), soil moisture condition index (SMCI) and soil water index for different soil layers (SWI)) and (2) key land surface variables (Land Area Index (LAI), soil moisture (SM) at different depths, soil evaporation and plant transpiration) from a Land Data Assimilation System (LDAS) over 2000\u20132017. A lagged correlation analysis was conducted to assess the relationships between the drought indices and cereal yield at monthly time scales. The VCI and LAI around the heading stage (March-April) are highly linked to yield for all provinces (R = 0.94 for the Khemisset province), while a high link for TCI occurs during the development stage in January-February (R = 0.83 for the Beni Mellal province). Interestingly, indices related to soil moisture in the superficial soil layer are correlated with yield earlier in the season around the emergence stage (December). The results demonstrate the clear added value of using an LDAS compared with using a remote sensing product alone, particularly concerning the soil moisture in the root-zone, considered a key variable for yield production, that is not directly observable from space. The time scale of integration is also discussed. By integrating the indices on the main phenological stages of wheat using a dynamic threshold approach instead of the monthly time scale, the correlation between indices and yield increased by up to 14%. In addition, the contributions of VCI and TCI to VHI were optimized by using yield anomalies as proxies for drought. This study opens perspectives for the development of drought early warning systems in Morocco and over North Africa, as well as for seasonal crop yield forecasting.</p></article>", "keywords": ["[SDE] Environmental Sciences", "550", "Science", "0207 environmental engineering", "Agricultural drought", "02 engineering and technology", "01 natural sciences", "630", "Environmental science", "remote sensing", "Land data assimilation systems", "Pathology", "assimilation systems", "Biology", "land data assimilation systems", "0105 earth and related environmental sciences", "2. Zero hunger", "Global and Planetary Change", "Vegetation Monitoring", "Water content", "Ecology", "Drought", "Global Forest Drought Response and Climate Change", "Q", "Hydrology (agriculture)", "Geology", "cereal yield", "Remote Sensing in Vegetation Monitoring and Phenology", "FOS: Earth and related environmental sciences", "Remote sensing", "semiarid region", "15. Life on land", "agricultural drought", "Agronomy", "6. Clean water", "Cereal yield", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "[SDE]Environmental Sciences", "Global Drought Monitoring and Assessment", "Environmental Science", "Physical Sciences", "Leaf area index", "Medicine", "Semiarid region", "land data", "Vegetation (pathology)"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://doi.org/10.60692/7hann-x9205"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/7hann-x9205", "name": "item", "description": "10.60692/7hann-x9205", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/7hann-x9205"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-08T00:00:00Z"}}, {"id": "10.60692/g4rcv-eqz54", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:26Z", "type": "Journal Article", "created": "2019-04-23", "title": "An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Thermal-based two-source energy balance modeling is very useful for estimating the land evapotranspiration (ET) at a wide range of spatial and temporal scales. However, the land surface temperature (LST) is not sufficient for constraining simultaneously both soil and vegetation flux components in such a way that assumptions (on either the soil or the vegetation fluxes) are commonly required. To avoid such assumptions, a new energy balance model (TSEB-SM) was recently developed in Ait Hssaine et al. (2018a) to integrate the microwave-derived near-surface soil moisture (SM), in addition to the thermal-derived LST and vegetation cover fraction (fc). Whereas, TSEB-SM has been recently tested using in-situ measurements, the objective of this paper is to evaluate the performance of TSEB-SM in real-life using 1\u2009km resolution MODIS (Moderate resolution imaging spectroradiometer) LST and fc data and the 1\u2009km resolution SM data disaggregated from SMOS (Soil Moisture and Ocean Salinity) observations by using DisPATCh. The approach is applied during a four-year period (2014\u20132018) over a rainfed wheat field in the Tensift basin, central Morocco, during a four-year period (2014\u20132018). The field was seeded for the 2014\u20132015 (S1), 2016\u20132017 (S2) and 2017\u20132018 (S3) agricultural season, while it was not ploughed (remained as bare soil) during the 2015\u20132016 (B1) agricultural season. The mean retrieved values of (arss, brss) calculated for the entire study period using satellite data are (7.32, 4.58). The daily calibrated \u03b1PT ranges between 0 and 1.38 for both S1 and S2. Its temporal variability is mainly attributed to the rainfall distribution along the agricultural season. For S3, the daily retrieved \u03b1PT remains at a mostly constant value (\u223c\u20090.7) throughout the study period, because of the lack of clear sky disaggregated SM and LST observations during this season. Compared to eddy covariance measurements, TSEB driven only by LST and fc data significantly overestimates latent heat fluxes for the four seasons. The overall mean bias values are 119, 94, 128 and 181\u2009W/m2 for S1, S2, S3 and B1 respectively. In contrast, these errors are much reduced when using TSEB-SM (SM and LST combined data) with the mean bias values estimated as 39, 4, 7 and 62\u2009W/m2 for S1, S2, S3 and B1 respectively.</p></article>", "keywords": ["Technology", "Atmospheric sciences", "550", "Soil Moisture", "0208 environmental biotechnology", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "Engineering", "Geography. Anthropology. Recreation", "Pathology", "GE1-350", "TD1-1066", "2. Zero hunger", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "T", "Soil Water Retention", "Moderate-resolution imaging spectroradiometer", "Hydrology (agriculture)", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Aerospace engineering", "Physical Sciences", "Medicine", "environment", "Vegetation (pathology)", "Latent heat", "Mechanics and Transport in Unsaturated Soils", "Land cover", "Environmental Engineering", "0207 environmental engineering", "Energy balance", "Thermal Effects on Soil", "Environmental science", "[SDU] Sciences of the Universe [physics]", "G", "Meteorology", "Civil engineering", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "FOS: Civil engineering"]}, "links": [{"href": "https://hess.copernicus.org/articles/24/1781/2020/hess-24-1781-2020.pdf"}, {"href": "https://doi.org/10.60692/g4rcv-eqz54"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/g4rcv-eqz54", "name": "item", "description": "10.60692/g4rcv-eqz54", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/g4rcv-eqz54"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}, {"id": "10.60692/t1jsz-vm842", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:26Z", "type": "Journal Article", "created": "2019-07-29", "title": "EVAPOTRANSPIRATION AND EVAPORATION/TRANSPIRATION RETRIEVAL USING DUAL-SOURCE SURFACE ENERGY BALANCE MODELS INTEGRATING VIS/NIR/TIR DATA WITH SATELLITE SURFACE SOIL MOISTURE INFORMATION", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Evapotranspiration is an important component of the water cycle. For the agronomic management and ecosystem health monitoring, it is also important to provide an estimate of evapotranspiration components, i.e. transpiration and soil evaporation. To do so, Thermal InfraRed data can be used with dual-source surface energy balance models, because they solve separate energy budgets for the soil and the vegetation. But those models rely on specific assumptions on raw levels of plant water stress to get both components (evaporation and transpiration) out of a single source of information, namely the surface temperature. Additional information from remote sensing data are thus required. This works evaluates the ability of the SPARSE dual-source energy balance model to compute not only total evapotranspiration, but also water stress and transpiration/evaporation components, using either the sole surface temperature as a remote sensing driver, or a combination of surface temperature and soil moisture level derived from microwave data. Flux data at an experimental plot in semi-arid Morocco is used to assess this potentiality and shows the increased robustness of both the total evapotranspiration and partitioning retrieval performances. This work is realized within the frame of the Phase A activities for the TRISHNA CNES/ISRO Thermal Infra-Red satellite mission.                     </p></article>", "keywords": ["Technology", "Environmental Engineering", "550", "Ecosystem Resilience", "Soil Moisture", "Evaporation", "Energy balance", "Biochemistry", "Environmental science", "Transpiration", "Meteorology", "Artificial Intelligence", "Soil water", "Thermal Infrared", "Applied optics. Photonics", "Machine Learning Methods for Solar Radiation Forecasting", "Photosynthesis", "TRISHNA", "Water balance", "Biology", "Soil science", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "Global Forest Drought Response and Climate Change", "T", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "15. Life on land", "Engineering (General). Civil engineering (General)", "Remote Sensing of Soil Moisture", "6. Clean water", "TA1501-1820", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Computer Science", "TA1-2040", "Water cycle"]}, "links": [{"href": "https://doi.org/10.60692/t1jsz-vm842"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/t1jsz-vm842", "name": "item", "description": "10.60692/t1jsz-vm842", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/t1jsz-vm842"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-26T00:00:00Z"}}, {"id": "10459.1/60556", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:57Z", "type": "Journal Article", "created": "2017-11-10", "title": "Disaggregation of SMOS Soil Moisture to 100 m Resolution Using MODIS Optical/Thermal and Sentinel-1 Radar Data: Evaluation over a Bare Soil Site in Morocco", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The 40 km resolution SMOS (Soil Moisture and Ocean Salinity) soil moisture, previously disaggregated at a 1 km resolution using the DISPATCH (DISaggregation based on Physical And Theoretical scale CHange) method based on MODIS optical/thermal data, is further disaggregated to 100 m resolution using Sentinel-1 backscattering coefficient (\u03c3\u00b0). For this purpose, three distinct radar-based disaggregation methods are tested by linking the spatio-temporal variability of \u03c3\u00b0 and soil moisture data at the 1 km and 100 m resolution. The three methods are: (1) the weight method, which estimates soil moisture at 100 m resolution at a certain time as a function of \u03c3\u00b0 ratio (100 m to 1 km resolution) and the 1 km DISPATCH products of the same time; (2) the regression method which estimates soil moisture as a function of \u03c3\u00b0 where the regression parameters (e.g., intercept and slope) vary in space and time; and (3) the Cumulative Distribution Function (CDF) method, which estimates 100 m resolution soil moisture from the cumulative probability of 100 m resolution backscatter and the maximum to minimum 1 km resolution (DISPATCH) soil moisture difference. In each case, disaggregation results are evaluated against in situ measurements collected between 1 January 2016 and 11 October 2016 over a bare soil site in central Morocco. The determination coefficient (R2) between 1 km resolution DISPATCH and localized in situ soil moisture is 0.31. The regression and CDF methods have marginal effect on improving the DISPATCH accuracy at the station scale with a R2 between remotely sensed and in situ soil moisture of 0.29 and 0.34, respectively. By contrast, the weight method significantly improves the correlation between remotely sensed and in situ soil moisture with a R2 of 0.52. Likewise, the soil moisture estimates show low root mean square difference with in situ measurements (RMSD= 0.032 m3 m\u22123).</p></article>", "keywords": ["soil moisture and ocean salinity satellite (SMOS)", "Atmospheric Science", "Artificial intelligence", "Environmental Engineering", "550", "Science", "Soil Moisture", "0211 other engineering and technologies", "Aerospace Engineering", "FOS: Mechanical engineering", "02 engineering and technology", "01 natural sciences", "Environmental science", "[SDU] Sciences of the Universe [physics]", "Engineering", "Meteorology", "DISPATCH", "Image resolution", "Arctic Permafrost Dynamics and Climate Change", "14. Life underwater", "Moisture", "0105 earth and related environmental sciences", "Soil science", "Water content", "Radar", "Geography", "soil moisture and ocean salinity satellite (SMOS); DISPATCH; radar; Sentinel-1; disaggregation; soil moisture", "Soilmoisture and ocean salinity satellite (SMOS)", "Synthetic Aperture Radar Interferometry", "Q", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "Remote Sensing of Soil Moisture", "Surface Deformation Monitoring", "Computer science", "Earth and Planetary Sciences", "Groundwater Extraction", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "disaggregation", "Environmental Science", "Physical Sciences", "Sentinel-1", "soil moisture", "radar"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/9/11/1155/pdf"}, {"href": "https://doi.org/10459.1/60556"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10459.1/60556", "name": "item", "description": "10459.1/60556", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10459.1/60556"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-10T00:00:00Z"}}, {"id": "11577/3454795", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:09Z", "type": "Journal Article", "created": "2021-12-09", "title": "Soil Water Retention as Affected by Management Induced Changes of Soil Organic Carbon: Analysis of Long-Term Experiments in Europe", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Soil water retention (SWR) is an important soil property related to soil structure, texture, and organic matter (SOM), among other properties. Agricultural management practices affect some of these properties in an interdependent way. In this study, the impact of management-induced changes of soil organic carbon (SOC) on SWR is evaluated in five long-term experiments in Europe (running from 8 up to 54 years when samples were taken). Topsoil samples (0\u201315 cm) were collected and analysed to evaluate the effects of three different management categories, i.e., soil tillage, the addition of exogenous organic materials, the incorporation of crop residues affecting SOC and water content under a range of matric potentials. Changes in the total SOC up to 10 g C kg\u22121 soil (1%) observed for the different management practices, do not cause statistically significant differences in the SWR characteristics as expected. The direct impact of the SOC on SWR is consistent but negligible, whereas the indirect impact of SOC in the higher matric potentials, which are mainly affected by soil structure and aggregate composition, prevails. The different water content responses under the various matric potentials to SOC changes for each management group implies that one conservation measure alone has a limited effect on SWR and only a combination of several practices that lead to better soil structure, such as reduced soil disturbances combined with increased SOM inputs can lead to better water holding capacity of the soil.</p></article>", "keywords": ["no-till", "compost", "BULK-DENSITY", "Environmental Studies", "PHYSICAL-PROPERTIES", "Environmental Sciences & Ecology", "SEQUESTRATION", "3301 Architecture", "TILLAGE SYSTEMS", "4104 Environmental management", "PEDOTRANSFER FUNCTIONS", "FERTILIZATION", "soil care", "0502 Environmental Science and Management", "soil organic carbon; soil-water content; no-till; reduced tillage; manure; compost; soil care", "soil-water content", "2. Zero hunger", "Science & Technology", "S", "HYDRAULIC CONDUCTIVITY", "3304 Urban and regional planning", "Agriculture", "reduced tillage", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "soil organic carbon", "manure", "0401 agriculture", " forestry", " and fisheries", "NO-TILLAGE", "RESIDUE MANAGEMENT", "Life Sciences & Biomedicine", "MATTER"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/10/12/1362/pdf"}, {"href": "https://www.research.unipd.it/bitstream/11577/3454795/1/land-10-01362-v2.pdf"}, {"href": "https://www.mdpi.com/2073-445X/10/12/1362/pdf"}, {"href": "https://doi.org/11577/3454795"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11577/3454795", "name": "item", "description": "11577/3454795", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11577/3454795"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-09T00:00:00Z"}}, {"id": "2747196278", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:50Z", "type": "Journal Article", "created": "2017-08-28", "title": "Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at 100 m Resolution", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The recent deployment of ESA\u2019s Sentinel operational satellites has established a new paradigm for remote sensing applications. In this context, Sentinel-1 radar images have made it possible to retrieve surface soil moisture with a high spatial and temporal resolution. This paper presents two methodologies for the retrieval of soil moisture from remotely-sensed SAR images, with a spatial resolution of 100 m. These algorithms are based on the interpretation of Sentinel-1 data recorded in the VV polarization, which is combined with Sentinel-2 optical data for the analysis of vegetation effects over a site in Urgell (Catalunya, Spain). The first algorithm has already been applied to observations in West Africa by Zribi et al., 2008, using low spatial resolution ERS scatterometer data, and is based on change detection approach. In the present study, this approach is applied to Sentinel-1 data and optimizes the inversion process by taking advantage of the high repeat frequency of the Sentinel observations. The second algorithm relies on a new method, based on the difference between backscattered Sentinel-1 radar signals observed on two consecutive days, expressed as a function of NDVI optical index. Both methods are applied to almost 1.5 years of satellite data (July 2015\u2013November 2016), and are validated using field data acquired at a study site. This leads to an RMS error in volumetric moisture of approximately 0.087 m3/m3 and 0.059 m3/m3 for the first and second methods, respectively. No site calibrations are needed with these techniques, and they can be applied to any vegetation-covered area for which time series of SAR data have been recorded.</p></article>", "keywords": ["[SDE] Environmental Sciences", "NDVI", "Chemical technology", "HUMIDITE DU SOL", "soil moisture; SAR; Sentinel-1; NDVI; Sentinel-2; change detection", "0211 other engineering and technologies", "soil water content", "TP1-1185", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Article", "remote sensing", "Sentinel-1", "cartography", "soil moisture", "Sentinel-2", "TELEDETECTION", "change detection", "CARTOGRAPHIE", "SAR", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/17/9/1966/pdf"}, {"href": "https://doi.org/2747196278"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2747196278", "name": "item", "description": "2747196278", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2747196278"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-08-26T00:00:00Z"}}, {"id": "2767588274", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:50Z", "type": "Journal Article", "created": "2017-11-10", "title": "Disaggregation of SMOS Soil Moisture to 100 m Resolution Using MODIS Optical/Thermal and Sentinel-1 Radar Data: Evaluation over a Bare Soil Site in Morocco", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The 40 km resolution SMOS (Soil Moisture and Ocean Salinity) soil moisture, previously disaggregated at a 1 km resolution using the DISPATCH (DISaggregation based on Physical And Theoretical scale CHange) method based on MODIS optical/thermal data, is further disaggregated to 100 m resolution using Sentinel-1 backscattering coefficient (\u03c3\u00b0). For this purpose, three distinct radar-based disaggregation methods are tested by linking the spatio-temporal variability of \u03c3\u00b0 and soil moisture data at the 1 km and 100 m resolution. The three methods are: (1) the weight method, which estimates soil moisture at 100 m resolution at a certain time as a function of \u03c3\u00b0 ratio (100 m to 1 km resolution) and the 1 km DISPATCH products of the same time; (2) the regression method which estimates soil moisture as a function of \u03c3\u00b0 where the regression parameters (e.g., intercept and slope) vary in space and time; and (3) the Cumulative Distribution Function (CDF) method, which estimates 100 m resolution soil moisture from the cumulative probability of 100 m resolution backscatter and the maximum to minimum 1 km resolution (DISPATCH) soil moisture difference. In each case, disaggregation results are evaluated against in situ measurements collected between 1 January 2016 and 11 October 2016 over a bare soil site in central Morocco. The determination coefficient (R2) between 1 km resolution DISPATCH and localized in situ soil moisture is 0.31. The regression and CDF methods have marginal effect on improving the DISPATCH accuracy at the station scale with a R2 between remotely sensed and in situ soil moisture of 0.29 and 0.34, respectively. By contrast, the weight method significantly improves the correlation between remotely sensed and in situ soil moisture with a R2 of 0.52. Likewise, the soil moisture estimates show low root mean square difference with in situ measurements (RMSD= 0.032 m3 m\u22123).</p></article>", "keywords": ["soil moisture and ocean salinity satellite (SMOS)", "Atmospheric Science", "Artificial intelligence", "Environmental Engineering", "550", "Science", "Soil Moisture", "0211 other engineering and technologies", "Aerospace Engineering", "FOS: Mechanical engineering", "02 engineering and technology", "01 natural sciences", "Environmental science", "[SDU] Sciences of the Universe [physics]", "Engineering", "Meteorology", "DISPATCH", "Image resolution", "Arctic Permafrost Dynamics and Climate Change", "14. Life underwater", "Moisture", "0105 earth and related environmental sciences", "Soil science", "Water content", "Radar", "Geography", "soil moisture and ocean salinity satellite (SMOS); DISPATCH; radar; Sentinel-1; disaggregation; soil moisture", "Soilmoisture and ocean salinity satellite (SMOS)", "Synthetic Aperture Radar Interferometry", "Q", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "Remote Sensing of Soil Moisture", "Surface Deformation Monitoring", "Computer science", "Earth and Planetary Sciences", "Groundwater Extraction", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "disaggregation", "Environmental Science", "Physical Sciences", "Sentinel-1", "soil moisture", "radar"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/9/11/1155/pdf"}, {"href": "https://doi.org/2767588274"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2767588274", "name": "item", "description": "2767588274", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2767588274"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-10T00:00:00Z"}}, {"id": "2889759488", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:53Z", "type": "Journal Article", "created": "2018-09-19", "title": "Irrigation Mapping Using Sentinel-1 Time Series at Field Scale", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The recently launched Sentinel-1 satellite with a Synthetic Aperture Radar (SAR) sensor onboard offers a powerful tool for irrigation monitoring under various weather conditions, with high spatial and temporal resolution. This research discusses the potential of different metrics calculated from the Sentinel-1 time series for mapping irrigated fields. A methodology for irrigation mapping using SAR data is proposed. The study is performed using VV (vertical\u2013vertical) and VH (vertical\u2013horizontal) polarizations over an agricultural site in Urgell, Catalunya (Spain). With field segmentation information from SIGPAC (the Geographic Information System for Agricultural Parcels), the backscatter intensities are averaged within each field. From the Sentinel-1 time series for each field, the statistics and metrics, including the mean value, the variance of the signal, the correlation length, and the fractal dimension, are analyzed. With the Support Vector Machine (SVM), the classification of irrigated crops, irrigated trees, and non-irrigated fields is performed with the metrics vector. The results derived from the SVM are validated with ground truthing from SIGPAC over the whole study area, with a good overall accuracy of 81.08%. Random Forest (RF) machine classification is also tested in this study, which gives an accuracy of around 82.2% when setting the tree depth at three. The methodology is based only on SAR data, which makes it applicable to all areas, even with frequent cloud cover, but this method may be less robust when irrigation is less dominated to soil moisture change.</p></article>", "keywords": ["[SDE] Environmental Sciences", "550", "Science", "IMAGE SATELLITE", "irrigated farming", "0211 other engineering and technologies", "0207 environmental engineering", "02 engineering and technology", "630", "irrigation", "remote sensing", "cartography", "CULTURE IRRIGUEE", "TELEDETECTION", "CARTOGRAPHIE", "2. Zero hunger", "HUMIDITE DU SOL", "Q", "soil water content", "15. Life on land", "6. Clean water", "classification", "[SDE]Environmental Sciences", "Sentinel-1", "soil moisture", "soil moisture; SAR; Sentinel-1; irrigation; classification", "SAR"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/10/9/1495/pdf"}, {"href": "https://doi.org/2889759488"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2889759488", "name": "item", "description": "2889759488", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2889759488"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-18T00:00:00Z"}}, {"id": "2940609395", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:56Z", "type": "Journal Article", "created": "2019-04-23", "title": "An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Thermal-based two-source energy balance modeling is very useful for estimating the land evapotranspiration (ET) at a wide range of spatial and temporal scales. However, the land surface temperature (LST) is not sufficient for constraining simultaneously both soil and vegetation flux components in such a way that assumptions (on either the soil or the vegetation fluxes) are commonly required. To avoid such assumptions, a new energy balance model (TSEB-SM) was recently developed in Ait Hssaine et al. (2018a) to integrate the microwave-derived near-surface soil moisture (SM), in addition to the thermal-derived LST and vegetation cover fraction (fc). Whereas, TSEB-SM has been recently tested using in-situ measurements, the objective of this paper is to evaluate the performance of TSEB-SM in real-life using 1\u2009km resolution MODIS (Moderate resolution imaging spectroradiometer) LST and fc data and the 1\u2009km resolution SM data disaggregated from SMOS (Soil Moisture and Ocean Salinity) observations by using DisPATCh. The approach is applied during a four-year period (2014\u20132018) over a rainfed wheat field in the Tensift basin, central Morocco, during a four-year period (2014\u20132018). The field was seeded for the 2014\u20132015 (S1), 2016\u20132017 (S2) and 2017\u20132018 (S3) agricultural season, while it was not ploughed (remained as bare soil) during the 2015\u20132016 (B1) agricultural season. The mean retrieved values of (arss, brss) calculated for the entire study period using satellite data are (7.32, 4.58). The daily calibrated \u03b1PT ranges between 0 and 1.38 for both S1 and S2. Its temporal variability is mainly attributed to the rainfall distribution along the agricultural season. For S3, the daily retrieved \u03b1PT remains at a mostly constant value (\u223c\u20090.7) throughout the study period, because of the lack of clear sky disaggregated SM and LST observations during this season. Compared to eddy covariance measurements, TSEB driven only by LST and fc data significantly overestimates latent heat fluxes for the four seasons. The overall mean bias values are 119, 94, 128 and 181\u2009W/m2 for S1, S2, S3 and B1 respectively. In contrast, these errors are much reduced when using TSEB-SM (SM and LST combined data) with the mean bias values estimated as 39, 4, 7 and 62\u2009W/m2 for S1, S2, S3 and B1 respectively.                         </p></article>", "keywords": ["Technology", "Atmospheric sciences", "550", "Soil Moisture", "0208 environmental biotechnology", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "Engineering", "Geography. Anthropology. Recreation", "Pathology", "GE1-350", "TD1-1066", "2. Zero hunger", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "T", "Soil Water Retention", "Moderate-resolution imaging spectroradiometer", "Hydrology (agriculture)", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Aerospace engineering", "Physical Sciences", "Medicine", "environment", "Vegetation (pathology)", "Latent heat", "Mechanics and Transport in Unsaturated Soils", "Land cover", "Environmental Engineering", "0207 environmental engineering", "Energy balance", "Thermal Effects on Soil", "Environmental science", "[SDU] Sciences of the Universe [physics]", "G", "Meteorology", "Civil engineering", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "FOS: Civil engineering"]}, "links": [{"href": "https://hess.copernicus.org/articles/24/1781/2020/hess-24-1781-2020.pdf"}, {"href": "https://doi.org/2940609395"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2940609395", "name": "item", "description": "2940609395", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2940609395"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}, {"id": "2966009560", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:57Z", "type": "Journal Article", "created": "2019-07-29", "title": "EVAPOTRANSPIRATION AND EVAPORATION/TRANSPIRATION RETRIEVAL USING DUAL-SOURCE SURFACE ENERGY BALANCE MODELS INTEGRATING VIS/NIR/TIR DATA WITH SATELLITE SURFACE SOIL MOISTURE INFORMATION", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Evapotranspiration is an important component of the water cycle. For the agronomic management and ecosystem health monitoring, it is also important to provide an estimate of evapotranspiration components, i.e. transpiration and soil evaporation. To do so, Thermal InfraRed data can be used with dual-source surface energy balance models, because they solve separate energy budgets for the soil and the vegetation. But those models rely on specific assumptions on raw levels of plant water stress to get both components (evaporation and transpiration) out of a single source of information, namely the surface temperature. Additional information from remote sensing data are thus required. This works evaluates the ability of the SPARSE dual-source energy balance model to compute not only total evapotranspiration, but also water stress and transpiration/evaporation components, using either the sole surface temperature as a remote sensing driver, or a combination of surface temperature and soil moisture level derived from microwave data. Flux data at an experimental plot in semi-arid Morocco is used to assess this potentiality and shows the increased robustness of both the total evapotranspiration and partitioning retrieval performances. This work is realized within the frame of the Phase A activities for the TRISHNA CNES/ISRO Thermal Infra-Red satellite mission.                     </p></article>", "keywords": ["Technology", "Environmental Engineering", "550", "Ecosystem Resilience", "Soil Moisture", "Evaporation", "Energy balance", "Biochemistry", "Environmental science", "Transpiration", "Meteorology", "Artificial Intelligence", "Soil water", "Thermal Infrared", "Applied optics. Photonics", "Machine Learning Methods for Solar Radiation Forecasting", "Photosynthesis", "TRISHNA", "Water balance", "Biology", "Soil science", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "Global Forest Drought Response and Climate Change", "T", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "15. Life on land", "Engineering (General). Civil engineering (General)", "Remote Sensing of Soil Moisture", "6. Clean water", "TA1501-1820", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Computer Science", "TA1-2040", "Water cycle"]}, "links": [{"href": "https://doi.org/2966009560"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2966009560", "name": "item", "description": "2966009560", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2966009560"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-26T00:00:00Z"}}, {"id": "3002487798", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-05-24T16:25:04Z", "type": "Journal Article", "created": "2020-01-23", "title": "Mapping the response of volumetric soil water content to an intense rainfall event at the field scale using GPR", "description": "Abstract   Ground-penetrating radar (GPR) is a convenient tool for volumetric soil water content (VSWC) estimation in hydrological and agricultural studies. Although case studies have been widely carried out, little attention has been paid to subsoil moisture estimates. In this research, we investigated three-dimensional soil moisture variation down to a depth of 1\u00a0m and the effect of rainfall events on spatial soil moisture dynamics. GPR surveying lines were conducted both before and after a heavy rainfall event to map the VSWC. Soil sampling and time domain reflectometry (TDR) probe data at different depths (20, 40, 60, 80, and 100\u00a0cm) were acquired. Our results demonstrated that there was a significant correlation between the dielectric constants and VSWCs at all depths. The established relationships for the different depth ranges had a low VSWC discrepancy when the dielectric constants ranged from 10 to 15. The effective range of each variogram was larger than 20\u00a0m, except for that of the 0\u2013100\u00a0cm VSWC map after rainfall. In addition, the validation diagrams using corrected TDR values demonstrated relatively reliable VSWC maps. Approximately 89% of the variation in VSWC could be explained by the dielectric constants in the depth range of 0\u201340\u00a0cm, and VSWC predictions at this soil depth outperformed those at other depth ranges, with an overall RMSE of 0.027\u00a0m3\u00a0m\u22123 and R2 of 0.725. Furthermore, we also monitored the effect of precipitation on the accuracy of the VSWC prediction on shallow surfaces. Our study shows that three-dimensional soil moisture dynamics can be accurately estimated at the field scale by integrating GPR interpretation and spatial extrapolation methods.", "keywords": ["Red soil", "13. Climate action", "Ground wave method", "0208 environmental biotechnology", "0207 environmental engineering", "Geostatistics", "02 engineering and technology", "15. Life on land", "Soil water content", "6. Clean water", "Subsoil"]}, "links": [{"href": "https://doi.org/3002487798"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hydrology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3002487798", "name": "item", "description": "3002487798", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3002487798"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-01T00:00:00Z"}}, {"id": "3113036323", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:25:10Z", "type": "Journal Article", "created": "2020-12-08", "title": "Linkages between Rainfed Cereal Production and Agricultural Drought through Remote Sensing Indices and a Land Data Assimilation System: A Case Study in Morocco", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In Morocco, cereal production shows high interannual variability due to uncertain rainfall and recurrent drought periods. Considering the socioeconomic importance of cereal for the country, there is a serious need to characterize the impact of drought on cereal yields. In this study, drought is assessed through (1) indices derived from remote sensing data (the vegetation condition index (VCI), temperature condition index (TCI), vegetation health ind ex (VHI), soil moisture condition index (SMCI) and soil water index for different soil layers (SWI)) and (2) key land surface variables (Land Area Index (LAI), soil moisture (SM) at different depths, soil evaporation and plant transpiration) from a Land Data Assimilation System (LDAS) over 2000\u20132017. A lagged correlation analysis was conducted to assess the relationships between the drought indices and cereal yield at monthly time scales. The VCI and LAI around the heading stage (March-April) are highly linked to yield for all provinces (R = 0.94 for the Khemisset province), while a high link for TCI occurs during the development stage in January-February (R = 0.83 for the Beni Mellal province). Interestingly, indices related to soil moisture in the superficial soil layer are correlated with yield earlier in the season around the emergence stage (December). The results demonstrate the clear added value of using an LDAS compared with using a remote sensing product alone, particularly concerning the soil moisture in the root-zone, considered a key variable for yield production, that is not directly observable from space. The time scale of integration is also discussed. By integrating the indices on the main phenological stages of wheat using a dynamic threshold approach instead of the monthly time scale, the correlation between indices and yield increased by up to 14%. In addition, the contributions of VCI and TCI to VHI were optimized by using yield anomalies as proxies for drought. This study opens perspectives for the development of drought early warning systems in Morocco and over North Africa, as well as for seasonal crop yield forecasting.</p></article>", "keywords": ["[SDE] Environmental Sciences", "550", "Science", "0207 environmental engineering", "Agricultural drought", "02 engineering and technology", "01 natural sciences", "630", "Environmental science", "remote sensing", "Land data assimilation systems", "Pathology", "assimilation systems", "Biology", "land data assimilation systems", "0105 earth and related environmental sciences", "2. Zero hunger", "Global and Planetary Change", "Vegetation Monitoring", "Water content", "Ecology", "Drought", "Global Forest Drought Response and Climate Change", "Q", "Hydrology (agriculture)", "Geology", "cereal yield", "Remote Sensing in Vegetation Monitoring and Phenology", "FOS: Earth and related environmental sciences", "Remote sensing", "semiarid region", "15. Life on land", "agricultural drought", "Agronomy", "6. Clean water", "Cereal yield", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "[SDE]Environmental Sciences", "Global Drought Monitoring and Assessment", "Environmental Science", "Physical Sciences", "Leaf area index", "Medicine", "Semiarid region", "land data", "Vegetation (pathology)"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://doi.org/3113036323"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3113036323", "name": "item", "description": "3113036323", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3113036323"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-08T00:00:00Z"}}, {"id": "3113659741", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:25:10Z", "type": "Journal Article", "created": "2020-12-21", "title": "Genotype \u00d7 Environment Interaction for Wheat Yield Traits Suitable for Selection in Different Seed Priming Conditions", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Different seed priming treatments are widely used in order to improve the nutritional status of wheat, as well as to improve its grain yield and yield- related traits. The present study aimed to evaluate the impact of seed priming with zinc oxide nanoparticles (ZnO NPs) on the yield related traits, such as, field emergence, plant height, spike length and grain yield per plant of four winter wheat genotypes (Triticum aestivum L.) during two vegetation seasons of 2018/2019 and 2019/2020. The seeds of each wheat genotypes were primed with different concentrations of ZnO NPs (0 mg L\u22121, 10 mg L\u22121, 100 mg L\u22121 and 1000 mg L\u22121) for 48 h in a dark box by continuous aeration and were sown in soil pots with 60\u201370% moisture content until full maturity. The additive main effects and multiplicative interaction (AMMI) models were used to study the genotype environment effects. The results indicated that the plants response to ZnO nanoparticles significantly increased all of the observed traits of the wheat, while its maximum rates reduced the traits of the wheat. The AMMI analysis revealed the very complex nature of the variation observed in the trial and showed the significant effect of the G\u00d7E interaction, in which the first main component was significant for all components.</p></article>", "keywords": ["2. Zero hunger", "0106 biological sciences", "wheat;\u00a0zinc oxide nanoparticles;\u00a0GEI;\u00a0AMMI", "AMMI", "GEI", "Botany", "zinc oxide nanoparticles", "Ammi", "Vegetation", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Article", "Seed priming", "Horticulture", "13. Climate action", "wheat", "QK1-989", "Grain yield", "0401 agriculture", " forestry", " and fisheries", "Multiplicative interaction", "Gene\u2013environment interaction", "Aeration", "Water content"]}, "links": [{"href": "http://www.mdpi.com/2223-7747/9/12/1804/pdf"}, {"href": "https://www.mdpi.com/2223-7747/9/12/1804/pdf"}, {"href": "https://doi.org/3113659741"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plants", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3113659741", "name": "item", "description": "3113659741", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3113659741"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-19T00:00:00Z"}}, {"id": "4a74d794-48e1-4156-84b4-b8d3ad56b138", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.99, 53.15], [12.99, 53.15], [12.99, 53.15], [12.99, 53.15], [12.99, 53.15]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-02-05", "type": "Service", "created": "2023-11-28", "language": "eng", "title": "Web Map Service of the dataset 'Data on soil respiration in a beech forest and a pine forest' - Beech Sites", "description": "This Web Map Service includes spatial information of the dataset 'Data on soil respiration in a beech forest and a pine forest'' - Beech Sites", "keywords": ["infoMapAccessService", "Soil", "soil respiration", "soil air", "soil temperature", "soil water content", "Fagus sylvatica", "Pinus sylvestris", "measurement", "Soil", "soil respiration", "soil air", "soil temperature", "soil water content", "Fagus sylvatica", "Pinus sylvestris", "measurement", "Germany", "Brandenburg", "Ostprignitz-Ruppin"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Hubert Jochheim", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Hubert.jochheim@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8047-4553", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Stephan Wirth", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "swirth@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8047-4553", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Hubert Jochheim", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Hubert.jochheim@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8047-4553", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Valentin Gartiser", "organization": "Georg-August-Universit\u00e4t G\u00f6ttingen", "position": null, "roles": ["researcher"], "phones": [{"value": null}], "emails": [{"value": "valentin.gartiser@stud.uni-goettingen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-5320-374X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Martin Maier", "organization": "Georg-August-Universit\u00e4t G\u00f6ttingen", "position": null, "roles": ["researcher"], "phones": [{"value": null}], "emails": [{"value": "martin.maier@uni-goettingen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-7959-0108", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Dieter Sowa", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "Annett.Stange@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - 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INSPIRE themes, version 1.0"}, {"concepts": [{"id": "opendata"}, {"id": "Soil physical parameters"}, {"id": "Soil density"}, {"id": "Dry bulk density"}, {"id": "Soil water content"}, {"id": "Soil deformation"}, {"id": "Soil hydraulic properties"}, {"id": "Soil water retention"}, {"id": "Air capaciy"}, {"id": "Plant available water"}, {"id": "Agricultural machineries"}, {"id": "Agricultural management"}, {"id": "Soil management"}, {"id": "Field experiment"}, {"id": "Wheeling experiment"}, {"id": "Field traffic"}, {"id": "Soil conserving traffic"}], "scheme": "individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - SOILAssist's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - SOILAssist and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - SOILAssist and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - SOILAssist and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2023-07-17", "type": "Dataset", "created": "2020-05-13", "language": "eng", "title": "Soil pressure, deformation, and changes in soil physical parameters caused by combine harvester wheeling", "description": "In recent years, agricultural machinery became steadily larger and heavier. Especially under wet soil conditions, when soil is susceptible to compaction, heavy wheel load field traffic can lead to harmful soil compaction. This data set contains soil data from a wheeling experiment with an agricultural vehicle (2-axle combine harvester with bunker; total weight: 17 t). The experiment was conducted in 2016 on an agricultural test field in Adenstedt (Hildesheim district, Lower Saxony, Germany) during the harvest campaign. The soil type is Stagnic Luvisol derived from Loess and was conventionally tilled with a plough up to a depth of 28 cm. The cultivated crop was winter wheat. For the wheeling experiment, a combine harvester with full bunker volume passed defined plots in the field. In the inner field area, the number of wheel passes were 2 and in the headlands the number of wheel passes were 6. The sampling sites were both located in the inner field area and in the headlands. To investigate changes in soil physical parameters, soil structure, and soil functions caused by combine harvester driving, undisturbed soil cores (100 cm\u00b3) were taken before (unwheeled) and after wheeling (wheeled). The unwheeled soil samples were taken in 22, 35, and 50 depth and the wheeled soil samples in 20, 35, and 50 cm depth. In the inner field area, two soil pits were sampled per wheeling variant and in the headlands, one soil pit was sampled per wheeling variant. Additionally, the soil biopores were counted in every one of the three soil depths. A total of 30 undisturbed soil samples were taken per each soil pit, 10 per each soil depth.5 of the 10 undisturbed sampling rings were used to investigate soil water retention and the other 5 for saturated hydraulic conductivity. The determination of pF values was conducted in the soil laboratory using sand and clay boxes as well as pressure pots according to DIN ISO 11274. Saturated hydraulic conductivity was analyzed using a soil water permeameter (open system) according to ISO / FDIS 17312. The soil parameters total pore volume, air capacity, field capacity, usable field capacity, permanent wilting point, dry bulk density, and current water content during soil sampling were derived from the soil laboratory results.\n\nResearch domain: Soil Sciences", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Top soil", "Subsoil", "soil compaction", "Soil pore system", "Soil porosity", "Soil macropores", "Field capacity", "Wilting point", "Hydraulic conductivity", "agriculture", "Vehicles", "Harvesters", "Tillage", "Conservation tillage", "Conventional tillage", "Ploughing", "management", "Management techniques", "On-farm research", "Field experimentation", "Traffic", "Soil sampling", "Bodenfunktion", "Bodenstruktur", "Physikalische Ver\u00e4nderung", "Bodenwasser", "Bodenschutz", "Bodenuntersuchung", "Probenahme", "Boden", "opendata", "Soil physical parameters", "Soil density", "Dry bulk density", "Soil water content", "Soil deformation", "Soil hydraulic properties", "Soil water retention", "Air capaciy", "Plant available water", "Agricultural machineries", "Agricultural management", "Soil management", "Field experiment", "Wheeling experiment", "Field traffic", "Soil conserving traffic"], "contacts": [{"name": "Weise, Maike", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "maike.weise@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Lorenz, Marco", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "marco.lorenz@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Ortmeier, Berthold", "organization": "-", "position": null, "roles": ["other"], "phones": [{"value": null}], "emails": [{"value": "-"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Brunotte, Joachim", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "joachim.brunotte@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Lorenz, Marco", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["projectManager"], "phones": [{"value": null}], "emails": [{"value": "marco.lorenz@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Thomas, Celina", "organization": "Th\u00fcnen Institute of Agricultural Technology", "position": "Research associate", "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "celina.thomas@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 47"], "city": "Braunschweig", "administrativeArea": null, "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Th\u00fcnen Institute of Agricultural Technology", "roles": ["contributor"]}], "title_alternate": "Changes of soil physical and soil functional parameters caused by driving of a combine harvester on arable land"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=d1cdbca9-3f3e-4995-a79e-b5b464e97b04", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "d1cdbca9-3f3e-4995-a79e-b5b464e97b04", "name": "item", "description": "d1cdbca9-3f3e-4995-a79e-b5b464e97b04", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/d1cdbca9-3f3e-4995-a79e-b5b464e97b04"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-17T00:00:00Z"}}, {"id": "8f17a2f3-0cce-410e-9e4d-d063f1895e58", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.64, 52.98], [13.64, 52.98], [13.64, 52.98], [13.64, 52.98], [13.64, 52.98]]]}, "properties": {"license": "CC BY", "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. 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Giessen;University of Kassel", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 4/4, table: soil shear resistance"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=c94e75c4-e537-4519-9d80-3beb80a2fe28", "rel": "information"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/d0798048-f3a1-4638-909b-90f87a571278", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "c94e75c4-e537-4519-9d80-3beb80a2fe28", "name": "item", "description": "c94e75c4-e537-4519-9d80-3beb80a2fe28", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/c94e75c4-e537-4519-9d80-3beb80a2fe28"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": 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"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-02-05", "type": "Dataset", "created": "2023-11-28", "language": "eng", "title": "Soil respiration of a European beech and a Scots pine forest - Sublayer-specific values of CO2 production (beech forest)", "description": "Detailed inputdata and simulation results of the flux gradient method on the sublayer-specific CO2 production of the beech forest.\n\nGeneral description see mother table: (https://doi.org/10.4228/zalf-g5pj-m724); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "soil respiration", "soil air", "soil temperature", "soil water content", "Fagus sylvatica", "Pinus sylvestris", "measurement", "opendata", "Boden", "Germany", "Brandenburg", "Ostprignitz-Ruppin"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Hubert Jochheim", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Hubert.jochheim@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8047-4553", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Stephan Wirth", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "swirth@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8047-4553", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Valentin Gartiser", "organization": "Georg-August-Universit\u00e4t G\u00f6ttingen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "valentin.gartiser@stud.uni-goettingen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-5320-374X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Sinikka Jasmin Paulus", "organization": "Max-Planck-Institut f\u00fcr Biogeochemie, Jena", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "spaulus@bgc-jena.mpg.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-8908-7987", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Christoph Haas", "organization": "Christian-Albrechts-Universit\u00e4t zu Kiel", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "c.haas@soils.uni-kiel.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-5272-4428", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Horst H. 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-06-26", "type": "Dataset", "created": "2023-06-12", "language": "eng", "title": "Effects of groundwater levels and soil moisture on the development of leaf area index and biomass yield of wet grasslands (Lysimeter data) - Climate Data", "description": "Table contains climate data of a weather station at the lysimeter station as well as the groundwater level and the soil moisture in 30 cm depth of the four lysimeters. The data are daily average values of the measured data. The FAO-grass-evapotranspiration (Allen et al., 1998) was calculated with the daily values.\n\nGeneral description see mother table: (https://doi.org/10.4228/zalf-vevz-ys85); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "lysimeters", "groundwater table", "soil water content", "leaf area index", "biomass production", "opendata", "wet grassland", "biomass yield", "Boden"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Ottfried Dietrich", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "dietrich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-4637-9784", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ottfried Dietrich", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "dietrich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-4637-9784", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ralph Tauschke", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "dietrich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Mario Weipert", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "dietrich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 3/3, table: Climate Data"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=231c1bff-73bd-4ee7-964c-ce3172d2cd6c", "rel": "information"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/231c1bff-73bd-4ee7-964c-ce3172d2cd6c", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "d3ed0c22-e76b-44e6-bbf0-43de422af349", "name": "item", "description": "d3ed0c22-e76b-44e6-bbf0-43de422af349", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/d3ed0c22-e76b-44e6-bbf0-43de422af349"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-26T00:00:00Z"}}, {"id": "PMC5621168", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:27:08Z", "type": "Journal Article", "created": "2017-08-28", "title": "Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at 100 m Resolution", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The recent deployment of ESA\u2019s Sentinel operational satellites has established a new paradigm for remote sensing applications. In this context, Sentinel-1 radar images have made it possible to retrieve surface soil moisture with a high spatial and temporal resolution. This paper presents two methodologies for the retrieval of soil moisture from remotely-sensed SAR images, with a spatial resolution of 100 m. These algorithms are based on the interpretation of Sentinel-1 data recorded in the VV polarization, which is combined with Sentinel-2 optical data for the analysis of vegetation effects over a site in Urgell (Catalunya, Spain). The first algorithm has already been applied to observations in West Africa by Zribi et al., 2008, using low spatial resolution ERS scatterometer data, and is based on change detection approach. In the present study, this approach is applied to Sentinel-1 data and optimizes the inversion process by taking advantage of the high repeat frequency of the Sentinel observations. The second algorithm relies on a new method, based on the difference between backscattered Sentinel-1 radar signals observed on two consecutive days, expressed as a function of NDVI optical index. Both methods are applied to almost 1.5 years of satellite data (July 2015\u2013November 2016), and are validated using field data acquired at a study site. This leads to an RMS error in volumetric moisture of approximately 0.087 m3/m3 and 0.059 m3/m3 for the first and second methods, respectively. No site calibrations are needed with these techniques, and they can be applied to any vegetation-covered area for which time series of SAR data have been recorded.</p></article>", "keywords": ["[SDE] Environmental Sciences", "NDVI", "Chemical technology", "HUMIDITE DU SOL", "soil moisture; SAR; Sentinel-1; NDVI; Sentinel-2; change detection", "0211 other engineering and technologies", "soil water content", "TP1-1185", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Article", "remote sensing", "Sentinel-1", "cartography", "soil moisture", "Sentinel-2", "TELEDETECTION", "change detection", "CARTOGRAPHIE", "SAR", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/17/9/1966/pdf"}, {"href": "https://doi.org/PMC5621168"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC5621168", "name": "item", "description": "PMC5621168", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC5621168"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-08-26T00:00:00Z"}}, {"id": "PMC7767299", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:27:11Z", "type": "Journal Article", "created": "2020-12-21", "title": "Genotype \u00d7 Environment Interaction for Wheat Yield Traits Suitable for Selection in Different Seed Priming Conditions", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Different seed priming treatments are widely used in order to improve the nutritional status of wheat, as well as to improve its grain yield and yield- related traits. The present study aimed to evaluate the impact of seed priming with zinc oxide nanoparticles (ZnO NPs) on the yield related traits, such as, field emergence, plant height, spike length and grain yield per plant of four winter wheat genotypes (Triticum aestivum L.) during two vegetation seasons of 2018/2019 and 2019/2020. The seeds of each wheat genotypes were primed with different concentrations of ZnO NPs (0 mg L\u22121, 10 mg L\u22121, 100 mg L\u22121 and 1000 mg L\u22121) for 48 h in a dark box by continuous aeration and were sown in soil pots with 60\u201370% moisture content until full maturity. The additive main effects and multiplicative interaction (AMMI) models were used to study the genotype environment effects. The results indicated that the plants response to ZnO nanoparticles significantly increased all of the observed traits of the wheat, while its maximum rates reduced the traits of the wheat. The AMMI analysis revealed the very complex nature of the variation observed in the trial and showed the significant effect of the G\u00d7E interaction, in which the first main component was significant for all components.</p></article>", "keywords": ["2. Zero hunger", "0106 biological sciences", "AMMI", "GEI", "Botany", "zinc oxide nanoparticles", "Ammi", "Vegetation", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Article", "Seed priming", "Horticulture", "13. Climate action", "wheat", "QK1-989", "Grain yield", "0401 agriculture", " forestry", " and fisheries", "Multiplicative interaction", "Gene\u2013environment interaction", "Aeration", "Water content"]}, "links": [{"href": "http://www.mdpi.com/2223-7747/9/12/1804/pdf"}, {"href": "https://www.mdpi.com/2223-7747/9/12/1804/pdf"}, {"href": "https://doi.org/PMC7767299"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plants", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC7767299", "name": "item", "description": "PMC7767299", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC7767299"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-19T00:00:00Z"}}, {"id": "a2f83367-15d9-4250-b53d-009b0e9245d9", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[8.12, 52.37], [8.12, 55.04], [11.71, 55.04], [11.71, 52.37], [8.12, 52.37]]]}, "properties": {"license": "CC BY", "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Rhizo4Bio - RhizoWheat's research activities.\" Although every care has been taken in preparing and testing the data, the Rhizo4Bio - RhizoWheat and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Rhizo4Bio - RhizoWheat and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The Rhizo4Bio - RhizoWheat and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-03-19", "type": "Service", "created": "2023-05-31", "language": "eng", "title": "Web Map Service of the dataset 'RhizoWheat \u2013 Soil moisture data, long term experiment \u201cV68\u201d'", "description": "This Web Map Service includes spatial information used by datasets 'Web Map Service of the dataset 'RhizoWheat \u2013 Soil moisture data, long term experiment \u201cV68\u201d''", "formats": [{"name": "CSV"}], "keywords": ["infoMapAccessService", "wheat", "crop rotation", "soil water content", "wheat", "crop rotation", "soil water content"], "contacts": [{"name": "Katharina Pronkow", "organization": "Kiel University", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "pronkow@pflanzenbau.uni-kiel.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Henning Kage", "organization": "Kiel University", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "kage@pflanzenbau.uni-kiel.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-5317-7745", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": null, "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Nora Honsdorf", "organization": "Kiel University", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "honsdorf@pflanzenbau.uni-kiel.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-4536-2526", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Henning Kage", "organization": "Kiel University", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "kage@pflanzenbau.uni-kiel.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-5317-7745", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Kiel University", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "wheat"}, {"id": "crop rotation"}, {"id": "soil water content"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "wheat"}, {"id": "crop rotation"}, {"id": "soil water content"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=aaeb8c56-d906-475b-b041-59a08873a5cb", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/rhizo4bio/ID_4011_Soil_Moisture_Data_V68_Hohenschulen_Geodata_1/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "a2f83367-15d9-4250-b53d-009b0e9245d9", "name": "item", "description": "a2f83367-15d9-4250-b53d-009b0e9245d9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/a2f83367-15d9-4250-b53d-009b0e9245d9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-19T00:00:00Z"}}, {"id": "aaeb8c56-d906-475b-b041-59a08873a5cb", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[8.74, 51.98], [8.74, 54.83], [12.15, 54.83], [12.15, 51.98], [8.74, 51.98]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "wheat"}, {"id": "crop rotation"}, {"id": "soil water content"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "license": "CC BY", "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Rhizo4Bio - RhizoWheat's research activities.\" Although every care has been taken in preparing and testing the data, the Rhizo4Bio - RhizoWheat and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Rhizo4Bio - RhizoWheat and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The Rhizo4Bio - RhizoWheat and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-09-27", "type": "Dataset", "created": "2023-05-31", "language": "eng", "title": "RhizoWheat \u2013 Soil moisture data, long term experiment \u201cV68\u201d", "description": "The project RhizoWheat aims at elucidating processes leading to yield decline of wheat grown in self-succession. The long-term experiment \u201cV68\u201d established in 1989, was a long-term crop rotation field experiment at Kiel University\u00b4s experiment station \u201cHohenschulen\u201d. During the last years of the experiment the crop rotation was faba bean- oat- oilseed rape, wheat, wheat, wheat. The first and the third wheat after oilseed rape was cultivated with four different N fertilization levels (0, 120, 240, 320 kg N ha-1) and three wheat varieties (Nordkap, Elixer, Tobak) were used. Here we present soil moisture data of the last three seasons of the experiment (2019/20 to 2021/22) for wheat. \n\nResearch domain: Plant Cultivation and Agricultural Technology\n\nResearch question: None", "formats": [{"name": "CSV"}], "keywords": ["wheat", "crop rotation", "soil water content", "opendata", "Boden"], "contacts": [{"name": "Katharina Pronkow", "organization": "Kiel University", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "pronkow@pflanzenbau.uni-kiel.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Henning Kage", "organization": "Kiel University", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "kage@pflanzenbau.uni-kiel.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-5317-7745", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": null, "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Nora Honsdorf", "organization": "Kiel University", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "honsdorf@pflanzenbau.uni-kiel.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-4536-2526", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Henning Kage", "organization": "Kiel University", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "kage@pflanzenbau.uni-kiel.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-5317-7745", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Kiel University", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=aaeb8c56-d906-475b-b041-59a08873a5cb", "rel": "information"}, {"rel": "self", "type": "application/geo+json", "title": "aaeb8c56-d906-475b-b041-59a08873a5cb", "name": "item", "description": "aaeb8c56-d906-475b-b041-59a08873a5cb", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/aaeb8c56-d906-475b-b041-59a08873a5cb"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-27T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=water+content&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=water+content&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=water+content&", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=water+content&offset=50", "hreflang": "en-US"}], "numberMatched": 92, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-05-24T23:10:58.828675Z"}