{"type": "FeatureCollection", "features": [{"id": "10.3390/rs13224611", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:30Z", "type": "Journal Article", "created": "2021-11-17", "title": "Evaluating the Hyperspectral Sensitivity of the Differenced Normalized Burn Ratio for Assessing Fire Severity", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Fire severity represents fire-induced environmental changes and is an important variable for modeling fire emissions and planning post-fire rehabilitation. Remotely sensed fire severity is traditionally evaluated using the differenced normalized burn ratio (dNBR) derived from multispectral imagery. This spectral index is based on bi-temporal differenced reflectance changes caused by fires in the near-infrared (NIR) and short-wave infrared (SWIR) spectral regions. Our study aims to evaluate the spectral sensitivity of the dNBR using hyperspectral imagery by identifying the optimal bi-spectral NIR SWIR combination. This assessment made use of a rare opportunity arising from the pre- and post-fire airborne image acquisitions over the 2013 Rim and 2014 King fires in California with the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) sensor. The 224 contiguous bands of this sensor allow for 5760 unique combinations of the dNBR at a high spatial resolution of approximately 15 m. The performance of the hyperspectral dNBR was assessed by comparison against field data and the spectral optimality statistic. The field data is composed of 83 in situ measurements of fire severity using the Geometrically structured Composite Burn Index (GeoCBI) protocol. The optimality statistic ranges between zero and one, with one denoting an optimal measurement of the fire-induced spectral change. We also combined the field and optimality assessments into a combined score. The hyperspectral dNBR combinations demonstrated strong relationships with GeoCBI field data. The best performance of the dNBR combination was derived from bands 63, centered at 0.962 \u00b5m, and 218, centered at 2.382 \u00b5m. This bi-spectral combination yielded a strong relationship with GeoCBI field data of R2 = 0.70 based on a saturated growth model and a median spectral index optimality statistic of 0.31. Our hyperspectral sensitivity analysis revealed optimal NIR and SWIR bands for the composition of the dNBR that are outside the ranges of the NIR and SWIR bands of the Landsat 8 and Sentinel-2 sensors. With the launch of the Precursore Iperspettrale Della Missione Applicativa (PRISMA) in 2019 and several planned spaceborne hyperspectral missions, such as the Environmental Mapping and Analysis Program (EnMAP) and Surface Biology and Geology (SBG), our study provides a timely assessment of the potential and sensitivity of hyperspectral data for assessing fire severity.</p></article>", "keywords": ["composite burn index", "Science", "Q", "04 agricultural and veterinary sciences", "01 natural sciences", "differenced normalized burn ratio", "fire severity", "hyperspectral imagery", "13. Climate action", "Airborne Visible/Infrared Imaging Spectrometer", "0401 agriculture", " forestry", " and fisheries", "spectral index optimality", "fire severity; differenced normalized burn ratio; composite burn index; spectral index optimality; hyperspectral imagery; Airborne Visible/Infrared Imaging Spectrometer", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/22/4611/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/22/4611/pdf"}, {"href": "https://doi.org/10.3390/rs13224611"}, {"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/rs13224611", "name": "item", "description": "10.3390/rs13224611", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13224611"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-16T00:00:00Z"}}, {"id": "10.3390/rs14122917", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:31Z", "type": "Journal Article", "created": "2022-06-20", "title": "Satellite Imagery to Map Topsoil Organic Carbon Content over Cultivated Areas: An Overview", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>There is a need to update soil maps and monitor soil organic carbon (SOC) in the upper horizons or plough layer for enabling decision support and land management, while complying with several policies, especially those favoring soil carbon storage. This review paper is dedicated to the satellite-based spectral approaches for SOC assessment that have been achieved from several satellite sensors, study scales and geographical contexts in the past decade. Most approaches relying on pure spectral models have been carried out since 2019 and have dealt with temperate croplands in Europe, China and North America at the scale of small regions, of some hundreds of km2: dry combustion and wet oxidation were the analytical determination methods used for 50% and 35% of the satellite-derived SOC studies, for which measured topsoil SOC contents mainly referred to mineral soils, typically cambisols and luvisols and to a lesser extent, regosols, leptosols, stagnosols and chernozems, with annual cropping systems with a SOC value of ~15 g\u00b7kg\u22121 and a range of 30 g\u00b7kg\u22121 in median. Most satellite-derived SOC spectral prediction models used limited preprocessing and were based on bare soil pixel retrieval after Normalized Difference Vegetation Index (NDVI) thresholding. About one third of these models used partial least squares regression (PLSR), while another third used random forest (RF), and the remaining included machine learning methods such as support vector machine (SVM). We did not find any studies either on deep learning methods or on all-performance evaluations and uncertainty analysis of spatial model predictions. Nevertheless, the literature examined here identifies satellite-based spectral information, especially derived under bare soil conditions, as an interesting approach that deserves further investigations. Future research includes considering the simultaneous analysis of imagery acquired at several dates i.e., temporal mosaicking, testing the influence of possible disturbing factors and mitigating their effects fusing mixed models incorporating non-spectral ancillary information.</p></article>", "keywords": ["2. Zero hunger", "550", "Science", "Q", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Environmental Sciences (social aspects to be 507)", "Geology", "04 agricultural and veterinary sciences", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "910", "15. Life on land", "satellite imagery", "630", "Remote Sensing", "soil organic carbon", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "spectral models"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/532033/1/remotesensing-steropes%20review.pdf"}, {"href": "https://www.mdpi.com/2072-4292/14/12/2917/pdf"}, {"href": "https://pub.epsilon.slu.se/28706/1/vaoudour-e-et-al-220809.pdf"}, {"href": "https://doi.org/10.3390/rs14122917"}, {"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/rs14122917", "name": "item", "description": "10.3390/rs14122917", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs14122917"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-18T00:00:00Z"}}, {"id": "10.3390/rs13163181", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:30Z", "type": "Journal Article", "created": "2021-08-11", "title": "Retrieving Crop Albedo Based on Radar Sentinel-1 and Random Forest Approach", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Monitoring agricultural crops is of paramount importance for preserving water resources and increasing water efficiency over semi-arid areas. This can be achieved by modelling the water resources all along the growing season through the coupled water\u2013surface energy balance. Surface albedo is a key land surface variable to constrain the surface radiation budget and hence the coupled water\u2013surface energy balance. In order to capture the hydric status changes over the growing season, optical remote sensing becomes impractical due to cloud cover in some periods, especially over irrigated winter crops in semi-arid regions. To fill the gap, this paper aims to generate cloudless surface albedo product from Sentinel-1 data that offers a source of high spatio-temporal resolution images. This can help to better capture the vegetation development along the growth season through the surface radiation budget. Random Forest (RF) algorithm was implemented using Sentinel-1 backscatters as input. The approach was tested over an irrigated semi-arid zone in Morocco, which is known by its heterogeneity in term of soil conditions and crop types. The obtained results are evaluated against Landsat-derived albedo with quasi-concurrent Landsat/Sentinel-1 overpasses (up to one day offset), while a further validation was investigated using in situ field scale albedo data. The best model-hyperparameters selection was dependent on two validation approaches (K-fold cross-validation \u2018k = 10\u2019, and holdout). The more robust and accurate model parameters are those that represent the best statistical metrics (root mean square error \u2018RMSE\u2019, bias and correlation coefficient \u2018R\u2019). Coefficient values ranging from 0.70 to 0.79 and a RMSE value between 0.0002 and 0.00048 were obtained comparing Landsat and predicted albedo by RF method. The relative error ratio equals 4.5, which is acceptable to predict surface albedo.</p></article>", "keywords": ["[SDE] Environmental Sciences", "crop vegetation", "550", "Science", "Q", "500", "surface albedo", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "13. Climate action", "[SDE]Environmental Sciences", "Sentinel-1", "0401 agriculture", " forestry", " and fisheries", "Landsat", "random forest", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/16/3181/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/16/3181/pdf"}, {"href": "https://doi.org/10.3390/rs13163181"}, {"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/rs13163181", "name": "item", "description": "10.3390/rs13163181", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13163181"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-11T00:00:00Z"}}, {"id": "10.3390/rs13173355", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:30Z", "type": "Journal Article", "created": "2021-08-25", "title": "Reviewing the Potential of Sentinel-2 in Assessing the Drought", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>This paper systematically reviews the potential of the Sentinel-2 (A and B) in assessing drought. Research findings, including the IPCC reports, highlighted the increasing trend in drought over the decades and the need for a better understanding and assessment of this phenomenon. Continuous monitoring of the Earth\u2019s surface is an efficient method for predicting and identifying the early warnings of drought, which enables us to prepare and plan the mitigation procedures. Considering the spatial, temporal, and spectral characteristics, the freely available Sentinel-2 data products are a promising option in this area of research, compared to Landsat and MODIS. This paper evaluates the recent developments in this field induced by the launch of Sentinel-2, as well as the comparison with other existing data products. The objective of this paper is to evaluate the potential of Sentinel-2 in assessing drought through vegetation characteristics, soil moisture, evapotranspiration, surface water including wetland, and land use and land cover analysis. Furthermore, this review also addresses and compares various data fusion methods and downscaling methods applied to Sentinel-2 for retrieving the major bio-geophysical variables used in the analysis of drought. Additionally, the limitations of Sentinel-2 in its direct applicability to drought studies are also evaluated.</p></article>", "keywords": ["land use and land cover analysis", "vegetation response", "Sentinel-2; drought; soil moisture; evapotranspiration; vegetation response; surface water and wetland analysis; land use and land cover analysis", "Science", "Q", "evapotranspiration", "0207 environmental engineering", "drought", "02 engineering and technology", "15. Life on land", "01 natural sciences", "6. Clean water", "surface water and wetland analysis", "13. Climate action", "Sentinel-2; drought", "Sentinel-2", "soil moisture", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.mdpi.com/2072-4292/13/17/3355/pdf"}, {"href": "https://doi.org/10.3390/rs13173355"}, {"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/rs13173355", "name": "item", "description": "10.3390/rs13173355", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13173355"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-24T00:00:00Z"}}, {"id": "10.3390/rs13204063", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:30Z", "type": "Journal Article", "created": "2021-10-12", "title": "Dynamics of Vegetation Greenness and Its Response to Climate Change in Xinjiang over the Past Two Decades", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Climate change has proven to have a profound impact on the growth of vegetation from various points of view. Understanding how vegetation changes and its response to climatic shift is of vital importance for describing their mutual relationships and projecting future land\u2013climate interactions. Arid areas are considered to be regions that respond most strongly to climate change. Xinjiang, as a typical dryland in China, has received great attention lately for its unique ecological environment. However, comprehensive studies examining vegetation change and its driving factors across Xinjiang are rare. Here, we used the remote sensing datasets (MOD13A2 and TerraClimate) and data of meteorological stations to investigate the trends in the dynamic change in the Normalized Difference Vegetation Index (NDVI) and its response to climate change from 2000 to 2019 across Xinjiang based on the Google Earth platform. We found that the increment rates of growth-season mean and maximum NDVI were 0.0011 per year and 0.0013 per year, respectively, by averaging all of the pixels from the region. The results also showed that, compared with other land use types, cropland had the fastest greening rate, which was mainly distributed among the northern Tianshan Mountains and Southern Junggar Basin and the northern margin of the Tarim Basin. The vegetation browning areas primarily spread over the Ili River Valley where most grasslands were distributed. Moreover, there was a trend of warming and wetting across Xinjiang over the past 20 years; this was determined by analyzing the climate data. Through correlation analysis, we found that the contribution of precipitation to NDVI (R2 = 0.48) was greater than that of temperature to NDVI (R2 = 0.42) throughout Xinjiang. The Standardized Precipitation and Evapotranspiration Index (SPEI) was also computed to better investigate the correlation between climate change and vegetation growth in arid areas. Our results could improve the local management of dryland ecosystems and provide insights into the complex interaction between vegetation and climate change.</p></article>", "keywords": ["2. Zero hunger", "arid areas", "Science", "Q", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "climate change", "13. Climate action", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "MOD13A2", "arid areas; vegetation variation; climate change; MOD13A2; Google Earth Engine", "Google Earth Engine", "vegetation variation", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/20/4063/pdf"}, {"href": "https://doi.org/10.3390/rs13204063"}, {"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/rs13204063", "name": "item", "description": "10.3390/rs13204063", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13204063"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-11T00:00:00Z"}}, {"id": "10.3390/rs13234893", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:30Z", "type": "Journal Article", "created": "2021-12-06", "title": "In Situ Observation-Constrained Global Surface Soil Moisture Using Random Forest Model", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The inherent biases of different long-term gridded surface soil moisture (SSM) products, unconstrained by the in situ observations, implies different spatio-temporal patterns. In this study, the Random Forest (RF) model was trained to predict SSM from relevant land surface feature variables (i.e., land surface temperature, vegetation indices, soil texture, and geographical information) and precipitation, based on the in situ soil moisture data of the International Soil Moisture Network (ISMN.). The results of the RF model show an RMSE of 0.05 m3 m\u22123 and a correlation coefficient of 0.9. The calculated impurity-based feature importance indicates that the Antecedent Precipitation Index affects most of the predicted soil moisture. The geographical coordinates also significantly influence the prediction (i.e., RMSE was reduced to 0.03 m3 m\u22123 after considering geographical coordinates), followed by land surface temperature, vegetation indices, and soil texture. The spatio-temporal pattern of RF predicted SSM was compared with the European Space Agency Climate Change Initiative (ESA-CCI) soil moisture product, using both time-longitude and latitude diagrams. The results indicate that the RF SSM captures the spatial distribution and the daily, seasonal, and annual variabilities globally.</p></article>", "keywords": ["feature importance", "Science", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "antecedent precipitation index", "SDG 13 - Climate Action", "Global scale", "Antecedent precipitation index; Feature importance; Global scale; In situ constrained; Random forest; Soil moisture", "soil moisture; random forest; global scale; in situ constrained; feature importance; antecedent precipitation index", "SDG 15 - Life on Land", "0105 earth and related environmental sciences", "Antecedent precipitation index", "Q", "In situ constrained", "15. Life on land", "Feature importance", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "global scale", "Soil moisture", "soil moisture", "ITC-GOLD", "in situ constrained", "random forest", "Random forest"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/23/4893/pdf"}, {"href": "https://www.iris.unina.it/bitstream/11588/938135/1/2021_Ljie_Zeng_et_al_remotesensing.pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/23/4893/pdf"}, {"href": "https://doi.org/10.3390/rs13234893"}, {"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/rs13234893", "name": "item", "description": "10.3390/rs13234893", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13234893"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-02T00:00:00Z"}}, {"id": "10.3390/rs14010167", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:30Z", "type": "Journal Article", "created": "2022-01-10", "title": "Disaggregation of SMAP Soil Moisture at 20 m Resolution: Validation and Sub-Field Scale Analysis", "description": "<p>This paper introduces a modified version of the DisPATCh (Disaggregation based on Physical And Theoretical scale Change) algorithm to disaggregate an SMAP surface soil moisture (SSM) product at a 20 m spatial resolution, through the use of sharpened Sentinel-3 land surface temperature (LST) data. Using sharpened LST as a high resolution proxy of SSM is a novel approach that needs to be validated and can be employed in a variety of applications that currently lack in a product with a similar high spatio-temporal resolution. The proposed high resolution SSM product was validated against available in situ data for two different fields, and it was also compared with two coarser DisPATCh products produced, disaggregating SMAP through the use of an LST at 1 km from Sentinel-3 and MODIS. From the correlation between in situ data and disaggregated SSM products, a general improvement was found in terms of Pearson\uffe2\uff80\uff99s correlation coefficient (R) for the proposed high resolution product with respect to the two products at 1 km. For the first field analyzed, R was equal to 0.47 when considering the 20 m product, an improvement compared to the 0.28 and 0.39 for the 1 km products. The improvement was especially noticeable during the summer season, in which it was only possible to successfully capture field-specific irrigation practices at the 20 m resolution. For the second field, R was 0.31 for the 20 m product, also an improvement compared to the 0.21 and 0.23 for the 1 km product. Additionally, the new product was able to depict SSM spatial variability at a sub-field scale and a validation analysis is also proposed at this scale. The main advantage of the proposed product is its very high spatio-temporal resolution, which opens up new opportunities to apply remotely sensed SSM data in disciplines that require fine spatial scales, such as agriculture and water management.</p>", "keywords": ["validation", "550", "[SDE.IE]Environmental Sciences/Environmental Engineering", "Science", "Q", "SMAP", "04 agricultural and veterinary sciences", "surface soil moisture", "333", "6. Clean water", "631", "surface soil moisture; disaggregation; DISPATCH; SMAP; validation", "DISPATCH", "disaggregation", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "0401 agriculture", " forestry", " and fisheries", "[SDE.IE] Environmental Sciences/Environmental Engineering", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/14/1/167/pdf"}, {"href": "https://www.mdpi.com/2072-4292/14/1/167/pdf"}, {"href": "https://doi.org/10.3390/rs14010167"}, {"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/rs14010167", "name": "item", "description": "10.3390/rs14010167", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs14010167"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-31T00:00:00Z"}}, {"id": "10.3390/rs14092021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:31Z", "type": "Journal Article", "created": "2022-04-24", "title": "Impact of Drought on Isoprene Fluxes Assessed Using Field Data, Satellite-Based GLEAM Soil Moisture and HCHO Observations from OMI", "description": "<p>Biogenic volatile organic compounds (BVOCs), primarily emitted by terrestrial vegetation, are highly reactive and have large effects on the oxidizing potential of the troposphere, air quality and climate. In terms of global emissions, isoprene is the most important BVOC. Droughts bring about changes in the surface emission of biogenic hydrocarbons mainly because plants suffer water stress. Past studies report that the current parameterization in the state-of-the-art Model of Emissions of Gases and Aerosols from Nature (MEGAN) v2.1, which is a function of the soil water content and the permanent wilting point, fails at representing the strong reduction in isoprene emissions observed in field measurements conducted during a severe drought. Since the current algorithm was originally developed based on potted plants, in this study, we update the parameterization in the light of recent ecosystem-scale measurements of isoprene conducted during natural droughts in the central U.S. at the Missouri Ozarks AmeriFlux (MOFLUX) site. The updated parameterization results in stronger reductions in isoprene emissions. Evaluation using satellite formaldehyde (HCHO), a proxy for BVOC emissions, and a chemical-transport model, shows that the adjusted parameterization provides a better agreement between the modelled and observed HCHO temporal variability at local and regional scales in 2011\uffe2\uff80\uff932012, even if it worsens the model agreement in a global, long-term evaluation. We discuss the limitations of the current parameterization, a function of highly uncertain soil properties such as porosity.</p>", "keywords": ["Isoprene", "Science", "BVOCs; isoprene; formaldehyde; drought; Ozarks; Missouri; MEGAN; GLEAM; OMI", "MEGAN MODEL", "drought", "FORMALDEHYDE COLUMNS", "ENVIRONMENTAL-FACTORS", "01 natural sciences", "CROSS-SECTIONS", "OZONE FORMATION", "Formaldehyde", "BVOCs", "0105 earth and related environmental sciences", "CLIMATE-CHANGE", "Missouri", "Drought", "Q", "Ozarks", "OMI", "INCREASES THERMOTOLERANCE", "15. Life on land", "6. Clean water", "ORGANIC-COMPOUND EMISSIONS", "13. Climate action", "Earth and Environmental Sciences", "TRANSPORT MODEL", "formaldehyde", "MEGAN", "GLEAM", "TROPOSPHERIC CHEMISTRY", "isoprene"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/14/9/2021/pdf"}, {"href": "https://www.mdpi.com/2072-4292/14/9/2021/pdf"}, {"href": "https://doi.org/10.3390/rs14092021"}, {"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/rs14092021", "name": "item", "description": "10.3390/rs14092021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs14092021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-22T00:00:00Z"}}, {"id": "10.3390/rs14102504", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:31Z", "type": "Journal Article", "created": "2022-05-24", "title": "Digital Mapping of Soil Organic Carbon with Machine Learning in Dryland of Northeast and North Plain China", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Due to the importance of soil organic carbon (SOC) in supporting ecosystem services, accurate SOC assessment is vital for scientific research and decision making. However, most previous studies focused on single soil depth, leading to a poor understanding of SOC in multiple depths. To better understand the spatial distribution pattern of SOC in Northeast and North China Plain, we compared three machine learning algorithms (i.e., Cubist, Extreme Gradient Boosting (XGBoost) and Random Forest (RF)) within the digital soil mapping framework. A total of 386 sampling sites (1584 samples) following specific criteria covering all dryland districts and counties and soil types in four depths (i.e., 0\u201310, 10\u201320, 20\u201330 and 30\u201340 cm) were collected in 2017. After feature selection from 249 environmental covariates by the Genetic Algorithm, 29 variables were used to fit models. The results showed SOC increased from southern to northern regions in the spatial scale and decreased with soil depths. From the result of independent verification (validation dataset: 80 sampling sites), RF (R2: 0.58, 0.71, 0.73, 0.74 and RMSE: 3.49, 3.49, 2.95, 2.80 g kg\u22121 in four depths) performed better than Cubist (R2: 0.46, 0.63, 0.67, 0.71 and RMSE: 3.83, 3.60, 3.03, 2.72 g kg\u22121) and XGBoost (R2: 0.53, 0.67, 0.70, 0.71 and RMSE: 3.60, 3.60, 3.00, 2.83 g kg\u22121) in terms of prediction accuracy and robustness. Soil, parent material and organism were the most important covariates in SOC prediction. This study provides the up-to-date spatial distribution of dryland SOC in Northeast and North China Plain, which is of great value for evaluating dynamics of soil quality after long-term cultivation.</p></article>", "keywords": ["soil organic carbon", "2. Zero hunger", "spatial distribution", "Science", "model comparison", "Q", "controlling factor", "0211 other engineering and technologies", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "soil organic carbon; Northeast and North Plain China; model comparison; spatial distribution; controlling factor", "Northeast and North Plain China"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/14/10/2504/pdf"}, {"href": "https://doi.org/10.3390/rs14102504"}, {"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/rs14102504", "name": "item", "description": "10.3390/rs14102504", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs14102504"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-23T00:00:00Z"}}, {"id": "10.3390/rs14153587", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:31Z", "type": "Journal Article", "created": "2022-07-27", "title": "Tectono-Geomorphic Analysis in Low Relief, Low Tectonic Activity Areas: Case Study of the Temiskaming Region in the Western Quebec Seismic Zone (WQSZ), Eastern Canada", "description": "<p>We designed a workflow to investigate areas of potential neotectonic deformation, making use of well-developed techniques, but applied to a site characterized by low relief and low or moderate tectonic activity. In this pilot study, we targeted the Temiskaming Graben, in Eastern Canada, where recent and ongoing geophysical and sedimentological investigations have revealed recent activity along this ancient structure. The dataset compiled for this experimental study covers an area of nearly 147 square km across the provinces of Ontario and Quebec. For efficiency in terms of computational resources, we first performed cluster analysis on knickpoint location, identifying seven areas with a high density of disruptions along river profiles. We then performed more detailed morphometric analysis at 30 m resolution, identifying knickpoints along river profiles, calculating the hypsometric integral across the landscape with a moving window, and mapping and comparing lineaments with known structural features. The results of our workflow showed that these three techniques can be efficiently combined for neotectonic analysis, and the synergistic approach strengthens the reliability and accuracy of our results. Our research extends the application of morphometric analysis, commonly used for exploring areas with intense tectonism and high topography, to areas that are characterized by low relief and low or moderate tectonic activity. The new areas identified with the workflow proposed in this research require ground-truthing through mapping and shallow geophysical investigations.</p>", "keywords": ["knickpoints", "hypsometry", "Science", "Q", "0208 environmental biotechnology", "neotectonics", "longitudinal river profiles", "0207 environmental engineering", "neotectonics; intracratonic areas; low topographic gradient; hypsometry; knickpoints; longitudinal river profiles; lineaments; geomorphometry; tectonic geomorphology; Temiskaming Graben", "02 engineering and technology", "low topographic gradient", "15. Life on land", "intracratonic areas"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/14/15/3587/pdf"}, {"href": "https://doi.org/10.3390/rs14153587"}, {"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/rs14153587", "name": "item", "description": "10.3390/rs14153587", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs14153587"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-26T00:00:00Z"}}, {"id": "10.3390/rs16111942", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:31Z", "type": "Journal Article", "created": "2024-05-28", "title": "Drought Monitoring and Prediction in Agriculture: Employing Earth Observation Data, Climate Scenarios and Data Driven Methods; a Case Study: Mango Orchard in Tamale, Ghana", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The study focused on the prediction of the Temperature Vegetation Dryness Index (TVDI), an agricultural drought index, for a Mango orchard in Tamale, Ghana. It investigated the temporal relationship between the meteorological drought index, Standardized Precipitation Index (SPI), and TVDI. The SPI was calculated based on utilizing precipitation data from the World Meteorological Organization (WMO) database (2010\u20132022) and CMIP6 projected precipitation data (2023\u20132050) from 35 climate models representing various Shared Socioeconomic Pathway (SSP) climate change scenarios. Concurrently, TVDI was derived from Landsat 8/9 satellite imagery, validated using thermal data obtained from unmanned aerial vehicle (UAV) surveys. A comprehensive cross-correlation analysis between TVDI and SPI was conducted to identify lag times between these indices. Building on this temporal relationship, the TVDI was modeled as a function of SPI, with varying lag times as inputs to the Wavelet-Adaptive Neuro-Fuzzy Inference System (Wavelet-ANFIS). This innovative approach facilitated robust predictions of TVDI as an agricultural drought index, specifically relying on SPI as a predictor of meteorological drought occurrences for the years 2023\u20132050. The research outcome provides practical insights into the dynamic nature of drought conditions in the Tamale mango orchard region. The results indicate significant water stress projected for different time frames: 186 months for SSP126, 183 months for SSP245, and 179 months for both SSP370 and SSP585. This corresponds to a range of 55\u201357% of the projected months. These insights are crucial for formulating proactive and sustainable strategies for agricultural practices. For instance, implementing supplemental irrigation systems or crop adaptations can be effective measures. The anticipated outcomes contribute to a nuanced understanding of drought impacts, facilitating informed decision-making for agricultural planning and resource allocation.</p></article>", "keywords": ["2. Zero hunger", "Science", "Q", "SPI", "0207 environmental engineering", "TVDI", "drought", "02 engineering and technology", "Wavelet-ANFIS", "15. Life on land", "lag time", "01 natural sciences", "6. Clean water", "13. Climate action", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.mdpi.com/2072-4292/16/11/1942/pdf"}, {"href": "https://doi.org/10.3390/rs16111942"}, {"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/rs16111942", "name": "item", "description": "10.3390/rs16111942", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs16111942"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-28T00:00:00Z"}}, {"id": "10.3390/rs8020156", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:31Z", "type": "Journal Article", "created": "2016-02-19", "title": "Impacts of Re-Vegetation on Surface Soil Moisture over the Chinese Loess Plateau Based on Remote Sensing Datasets", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>A large-scale re-vegetation supported by the Grain for Green Project (GGP) has greatly changed local eco-hydrological systems, with an impact on soil moisture conditions for the Chinese Loess Plateau. It is important to know how, exactly, re-vegetation influences soil moisture conditions, which not only crucially constrain growth and distribution of vegetation, and hence, further re-vegetation, but also determine the degree of soil desiccation and, thus, erosion risk in the region. In this study, three eco-environmental factors, which are Soil Water Index (SWI), the Normalized Difference Vegetation Index (NDVI), and precipitation, were used to investigate the response of soil moisture in the one-meter layer of top soil to the re-vegetation during the GGP. SWI was estimated based on the backscatter coefficient produced by the European Remote Sensing Satellite (ERS-1/2) and Meteorological Operational satellite program (MetOp), while NDVI was derived from SPOT imageries. Two separate periods, which are 1998\u20132000 and 2008\u20132010, were selected to examine the spatiotemporal pattern of the chosen eco-environmental factors. It has been shown that the amount of precipitation in 1998\u20132000 was close to that of 2008\u20132010 (the difference being 13.10 mm). From 1998\u20132000 to 2008\u20132010, the average annual NDVI increased for 80.99%, while the SWI decreased for 72.64% of the area on the Loess Plateau. The average NDVI over the Loess Plateau increased rapidly by 17.76% after the 10-year GGP project. However, the average SWI decreased by 4.37% for two-thirds of the area. More specifically, 57.65% of the area on the Loess Plateau experienced an increased NDVI and decreased SWI, 23.34% of the area had an increased NDVI and SWI. NDVI and SWI decreased simultaneously for 14.99% of the area, and the decreased NDVI and increased SWI occurred at the same time for 4.02% of the area. These results indicate that re-vegetation, human activities, and climate change have impacts on soil moisture. However, re-vegetation, which consumes a large quantity of soil water, may be the major factor for soil moisture change in most areas of the Loess Plateau. It is, therefore, suggested that Soil Moisture Content (SMC) should be kept in mind when carrying out re-vegetation in China\u2019s arid and semi-arid regions.</p></article>", "keywords": ["2. Zero hunger", "China", "Science", "Q", "Soil Water Index (SWI)", "precipitation", "15. Life on land", "01 natural sciences", "6. Clean water", "remote sensing", "the Loess Plateau", "13. Climate action", "11. Sustainability", "Normalized Difference Vegetation Index (NDVI)", "Grain for Green Project (GGP)", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Qiao Jiao, Rui Li, Fei Wang, Xingmin Mu, Pengfei Li, Chunchun An,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/2072-4292/8/2/156/pdf"}, {"href": "https://doi.org/10.3390/rs8020156"}, {"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/rs8020156", "name": "item", "description": "10.3390/rs8020156", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs8020156"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-02-19T00:00:00Z"}}, {"id": "10.3390/rs9070684", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:31Z", "type": "Journal Article", "created": "2017-07-04", "title": "Multiple Regression Analysis for Unmixing of Surface Temperature Data in an Urban Environment", "description": "<p>Global climate change and increasing urbanization worldwide intensify the need for a better understanding of human heat stress dynamics in urban systems. During heat waves, which are expected to increase in number and intensity, the development of urban cool islands could be a lifesaver for many elderly and vulnerable people. The use of remote sensing data offers the unique possibility to study these dynamics with spatially distributed large datasets during all seasons of the year and including day and night-time analysis. For the city of Basel 32 high-quality Landsat 8 (L8) scenes are available since 2013, enabling comprehensive statistical analysis. Therefore, land surface temperature (LST) is calculated using L8 thermal infrared (TIR) imagery (stray light corrected) applying improved emissivity and atmospheric corrections. The data are combined with a land use/land cover (LULC) map and evaluated using administrative residential units. The observed dependence of LST on LULC is analyzed using a thermal unmixing approach based on a multiple linear regression (MLR) model, which allows for quantifying the gradual influence of different LULC types on the LST precisely. Seasonal variations due to different solar irradiance and vegetation cover indicate a higher dependence of LST on the LULC during the warmer summer months and an increasing influence of the topography and albedo during the colder seasons. Furthermore, the MLR analysis allows creating predicted LST images, which can be used to fill data gaps like in SLC-off Landsat 7 ETM+ data.</p>", "keywords": ["multiple linear regression", "Landsat 8", "land use/land cover", "Science", "atmospheric corrections", "Q", "0211 other engineering and technologies", "land surface temperature", "02 engineering and technology", "15. Life on land", "01 natural sciences", "LST analysis", "13. Climate action", "11. Sustainability", "land surface temperature; thermal infrared data; LST analysis; atmospheric corrections; land use/land cover; multiple linear regression; urban; Landsat 8", "thermal infrared data", "urban", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/9/7/684/pdf"}, {"href": "https://www.mdpi.com/2072-4292/9/7/684/pdf"}, {"href": "https://doi.org/10.3390/rs9070684"}, {"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/rs9070684", "name": "item", "description": "10.3390/rs9070684", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs9070684"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-04T00:00:00Z"}}, {"id": "10.3390/rs14246331", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:31Z", "type": "Journal Article", "created": "2022-12-15", "title": "Remote Sensing of Poplar Phenophase and Leaf Miner Attack in Urban Forests", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Remote sensing of phenology is adopted as the practice in greenery monitoring. Now research is turned towards the fusion of data from various sensors to fill in the gap in time series and allow monitoring of pests and disturbances. Poplar species were monitored for the determination of the best approach for detecting phenology and disturbances. With the adjustments that include a choice of indices, wavelengths, and a setup, a multispectral camera may be used to calibrate satellite images. The image processing pipeline included different denoising and interpolation methods. The correlation of the changes in a signal of top and lateral imaging proved that the contribution of the whole canopy is reflected in satellite images. Normalized difference vegetation index (NDVI) and normalized difference red edge index (NDRE) successfully distinguished among phenophases and detected leaf miner presence, unlike enhanced vegetation index (EVI). Changes in the indices were registered before, during, and after the development of the disease. NDRE is the most sensitive as it distinguished among the different intensities of damage caused by pests but it was not able to forecast its occurrence. An efficient and accurate system for detection and monitoring of phenology enables the improvement of the phenological models\u2019 quality and creates the basis for a forecast that allows planning in various disciplines.</p></article>", "keywords": ["data fusion", "<i>Populus</i> sp.", "Science", "Q", "multispectral imaging", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "Sentinel-2", "<i>Fenusella hortulana</i> (Klug\uff1b1818)", "15. Life on land", "phenology", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.mdpi.com/2072-4292/14/24/6331/pdf"}, {"href": "https://doi.org/10.3390/rs14246331"}, {"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/rs14246331", "name": "item", "description": "10.3390/rs14246331", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs14246331"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-14T00:00:00Z"}}, {"id": "10.3390/rs16091510", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:31Z", "type": "Journal Article", "created": "2024-04-25", "title": "Remote Quantification of Soil Organic Carbon: Role of Topography in the Intra-Field Distribution", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Soil organic carbon (SOC) measurements are an indicator of soil health and an important parameter for the study of land-atmosphere carbon fluxes. Field sampling provides precise measurements at the sample location but entails high costs and cannot provide detailed maps unless the sampling density is very high. Remote sensing offers the possibility to quantify SOC over large areas in a cost-effective way. As a result, numerous studies have sought to quantify SOC using Earth observation data with a focus on inter-field or regional distributions. This study took a different angle and aimed to map the spatial distribution of SOC at the intra-field scale, since this distribution provides important insights into the biophysiochemical processes involved in the retention of SOC. Instead of solely using spectral measurements to quantify SOC, topographic and spectral features act as predictor variables. The necessary data on study fields in South-East England was acquired through a detailed SOC sampling campaign, including a LiDAR survey flight. Multi-spectral Sentinel-2 data of the study fields were acquired for the exact day of the sampling campaign, and for an interval of 18 months before and after this date. Random Forest (RF) and Support Vector Regression (SVR) models were trained and tested on the spectral and topographical data of the fields to predict the observed SOC values. Five different sets of model predictors were assessed, by using independently and in combination, single and multidate spectral data, and topographical features for the SOC sampling points. Both, RF and SVR models performed best when trained on multi-temporal Sentinel-2 data together with topographic features, achieving validation root-mean-square errors (RMSEs) of 0.29% and 0.23% SOC, respectively. These RMSEs are competitive when compared with those found in the literature for similar models. The topographic wetness index (TWI) exhibited the highest permutation importance for virtually all models. Given that farming practices within each field are the same, this result suggests an important role of soil moisture in SOC retention. Contrary to findings in dryer climates or in studies encompassing larger areas, TWI was negatively related to SOC levels in the study fields, suggesting a different role of soil wetness in the SOC storage in climates characterized by excess rainfall and poorly drained soils.</p></article>", "keywords": ["2. Zero hunger", "Science", "Q", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "soil organic carbon", "topographic wetness index", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "support vector machine", "Sentinel-2", "random forest", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.mdpi.com/2072-4292/16/9/1510/pdf"}, {"href": "https://doi.org/10.3390/rs16091510"}, {"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/rs16091510", "name": "item", "description": "10.3390/rs16091510", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs16091510"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-25T00:00:00Z"}}, {"id": "10.3390/rs9111155", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:31Z", "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/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": "10.4025/actasciagron.v36i3.17937", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:43Z", "type": "Journal Article", "created": "2014-07-11", "title": "Mineralogy And Phosphorus Adsorption In Soils Of South And Central-West Brazil Under Conventional And No-Tillage Systems", "description": "The low phosphorus availability in tropical and subtropical soils, normally related to adsorption of phosphate to the minerals surfaces, can be attenuated when organic matter (OM) accumulates in the soils. Herein, we report the results of long-term experiments (18\u201332 years) aimed at quantifying the maximum phosphorus adsorption capacity (MPAC) and its determinant mineralogical variables in Brazilian soils and at assessing the effect of no-tillage (NT) in mitigating the phosphorus adsorption of soils. The MPAC of soils ranged from 297 to 4,561 mg kg-1\u00a0in the 0.00\u20130.10 m layer and from 285 to 4,961 mg kg-1\u00a0in the 0.10\u20130.20 m layer. The MPAC was correlated with the concentrations of iron oxides, goethite and ferrihydrite, gibbsite/(gibbsite+kaolinite) ratio and the specific surface area. The OM increased in the 0.00\u20130.10 m layer of NT soils, which was not reflected on the decrease of MPAC for the no-tillage soils.", "keywords": ["Fosfato", "iron oxides", "Agriculture (General)", "S1-972", "Adsor\u00e7\u00e3o", "G\u00eanese do solo", "Carbono org\u00e2nico", "phosphate", "gibbsita", "2. Zero hunger", "Manejo do solo", "organic carbon", "Gibbsita", "04 agricultural and veterinary sciences", "fosfato", "Plantio direto", "15. Life on land", "\u00d3xidos de ferro", "Fertilidade do solo", "6. Clean water", "\u00f3xidos de ferro", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Plantio convencional", "carbono org\u00e2nico", "gibbsite", "\u00d3xido de ferro"]}, "links": [{"href": "http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/17937/pdf_31"}, {"href": "https://doi.org/10.4025/actasciagron.v36i3.17937"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Acta%20Scientiarum.%20Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.4025/actasciagron.v36i3.17937", "name": "item", "description": "10.4025/actasciagron.v36i3.17937", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.4025/actasciagron.v36i3.17937"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-02-19T00:00:00Z"}}, {"id": "10.3390/w10121861", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:35Z", "type": "Journal Article", "created": "2018-12-14", "title": "Behavior of Organic Micropollutants During River Bank Filtration in Budapest, Hungary", "description": "<p>This paper summarizes results from a half-year sampling campaign in Budapest, when Danube River water and bank filtrate were analyzed for 36 emerging micropollutants. Twelve micropollutants were detected regularly in both river water and bank filtrate. Bisphenol A, carbamazepine, and sulfamethoxazole showed low removal (&lt;20%) during bank filtration on Szentendre Island and Csepel island, whereas 1H-benzotriazole, tolyltriazole, diclofenac, cefepime, iomeprol, metazachlor, and acesulfame showed medium to high removal rates of up to 78%. The concentration range in bank filtrate was much lower compared to river water, proving the equilibration effect of bank filtration for water quality.</p>", "keywords": ["organic micropollutants", "river bank filtration", "0211 other engineering and technologies", "02 engineering and technology", "pharmaceuticals", "01 natural sciences", "attenuation", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/10/12/1861/pdf"}, {"href": "https://doi.org/10.3390/w10121861"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w10121861", "name": "item", "description": "10.3390/w10121861", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w10121861"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-14T00:00:00Z"}}, {"id": "10.3390/s17091966", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:31Z", "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/s21103544", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:32Z", "type": "Journal Article", "created": "2021-05-20", "title": "Platinum-Based Interdigitated Micro-Electrode Arrays for Reagent-Free Detection of Copper", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Water is a precious resource that is under threat from a number of pressures, including, for example, release of toxic compounds, that can have damaging effect on ecology and human health. The current methods of water quality monitoring are based on sample collection and analysis at dedicated laboratories. Recently, electrochemical-based methods have attracted a lot of attention for environmental sensing owing to their versatility, sensitivity and their ease of integration with cost effective, smart and portable readout systems. In the present work, we report on the fabrication and characterization of platinum-based interdigitated microband electrodes arrays, and their application for trace detection of copper. Using square wave voltammetry after acidification with mineral acids, a limit of detection of 0.8 \u03bcg/L was achieved. Copper detection was also undertaken on river water samples and compared with standard analytical techniques. The possibility of controlling the pH at the surface of the sensors\u2014thereby avoiding the necessity to add mineral acids\u2014was investigated. By applying potentials to drive the water splitting reaction at one comb of the sensor\u2019s electrode (the protonator), it was possible to lower the pH in the vicinity of the sensing electrode. Detection of standard copper solutions down to 5 \u03bcg/L (ppb) using this technique is reported. This reagent free method of detection opens the way for autonomous, in situ monitoring of pollutants in water bodies.</p></article>", "keywords": ["13. Climate action", "Chemical technology", "electrochemical sensors", "pH control", "TP1-1185", "02 engineering and technology", "heavy metals", "0210 nano-technology", "01 natural sciences", "Article", "6. Clean water", "environmental monitoring", "0104 chemical sciences"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/21/10/3544/pdf"}, {"href": "https://doi.org/10.3390/s21103544"}, {"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/s21103544", "name": "item", "description": "10.3390/s21103544", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s21103544"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-19T00:00:00Z"}}, {"id": "10.3390/s24113556", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:32Z", "type": "Journal Article", "created": "2024-05-31", "title": "Prediction Accuracy of Soil Chemical Parameters by Field- and Laboratory-Obtained vis-NIR Spectra after External Parameter Orthogonalization", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>One challenge in predicting soil parameters using in situ visible and near infrared spectroscopy is the distortion of the spectra due to soil moisture. External parameter orthogonalization (EPO) is a mathematical method to remove unwanted variability from spectra. We created two different EPO correction matrices based on the difference between spectra collected in situ and, respectively, spectra collected from the same soil samples after drying and sieving and after drying, sieving and finely grinding. Spectra from 134 soil samples recorded with two different spectrometers were split into calibration and validation sets and the two EPO corrections were applied. Clay, organic carbon and total nitrogen content were predicted by partial least squares regression for uncorrected and EPO-corrected spectra using models based on the same type of spectra (\u201cwithin domain\u201d) as well as using laboratory-based models to predict in situ collected spectra (\u201ccross-domain\u201d). Our results show that the within-domain prediction of clay is improved with EPO corrections only for the research grade spectrometer, with no improvement for the other parameters. For the cross-domain predictions, there was a positive effect from both EPO corrections on all parameters. Overall, we also found that in situ collected spectra provided an equally successful prediction as laboratory-based spectra.</p></article>", "keywords": ["EJP Soil", "570", "ProbeField", "Medical Sciences", "Bioinformatics", "clay content", "in situ soil spectroscopy", "TP1-1185", "01 natural sciences", "630", "Article", "Biomedical Informatics", "PLSR", "Medical Specialties", "Medicine and Health Sciences", "Spectroscopy", "soil spectroscopy", "proximal sensing", "0105 earth and related environmental sciences", "spectrometers", "Chemical technology", "rdCV", "04 agricultural and veterinary sciences", "soil organic carbon", "total nitrogen", "Oncology", "0401 agriculture", " forestry", " and fisheries", "soil moisture", "EPO"]}, "links": [{"href": "https://doi.org/10.3390/s24113556"}, {"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/s24113556", "name": "item", "description": "10.3390/s24113556", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s24113556"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-31T00:00:00Z"}}, {"id": "10.3390/su12062170", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:33Z", "type": "Journal Article", "created": "2020-03-12", "title": "Argumentation Corrected Context Weighting-Life Cycle Assessment: A Practical Method of Including Stakeholder Perspectives in Multi-Criteria Decision Support for LCA", "description": "<p>Despite advances in the data, models, and methods underpinning environmental life cycle assessment (LCA), it remains challenging for practitioners to effectively communicate and interpret results. These shortcomings can bias decisions and hinder public acceptance for planning supported by LCA. This paper introduces a method for interpreting LCA results, the Argumentation Corrected Context Weighting-LCA (ArgCW-LCA), to overcome these barriers. ArgCW-LCA incorporates stakeholder preferences, corrects unjustified disagreements, and allows for the inclusion of non-environmental impacts (e.g., economic, social, etc.) using a novel weighting scheme and the application of multi-criteria decision analysis to provide transparent and context-relevant decision support. We illustrate the utility of the method through two case studies: a hypothetical decision regarding energy production and a real-world decision regarding polyphenol extraction technologies. In each case, we surveyed a relevant stakeholder group on their environmental views and fed their responses into the model to provide decision support that is relevant to their perspective. We found marked differences between results using ArgCW-LCA and results from a conventional analysis using an equal-weighting scheme, as well as differentiation between stakeholder preference groups, indicating the importance of applying the perspective of the particular stakeholder group. For instance, there was a rank reversal of alternatives when comparing between an equal weighting approach for all environmental and economic dimensions and ArgCW-LCA. ArgCW-LCA provides opportunity for both public and private sector incorporation of LCA, such as in developing enlightened stakeholder value measures. This is achieved through enabling the LCA practition to provide public and private actors\uffe2\uff80\uff99 interpreted LCA results in a manner that incorporates educated stakeholder perspectives. Furthermore, the method encourages stakeholder multiplicity through participatory design and policymaking that can enhance public backing of actions that can make society more sustainable.</p>", "keywords": ["[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]", "decision-support", "Environmental management", "330", "[SDE.IE]Environmental Sciences/Environmental Engineering", "02 engineering and technology", "/dk/atira/pure/sustainabledevelopmentgoals/responsible_consumption_and_production; name=SDG 12 - Responsible Consumption and Production", "multi-criteria decision analysis", "Decision-support", "01 natural sciences", "7. Clean energy", "[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]", "12. Responsible consumption", "environmental management", "Life cycle assessment", "/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy", "Analyse cycle de vie", "life cycle assessment", "Multi-criteria decision analysis", "0202 electrical engineering", " electronic engineering", " information engineering", "participatory design", "[SDE.IE] Environmental Sciences/Environmental Engineering", "10. No inequality", "Participatory design", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/12/6/2170/pdf"}, {"href": "https://www.mdpi.com/2071-1050/12/6/2170/pdf"}, {"href": "https://doi.org/10.3390/su12062170"}, {"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/su12062170", "name": "item", "description": "10.3390/su12062170", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su12062170"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-11T00:00:00Z"}}, {"id": "10261/366357", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:25:10Z", "type": "Journal Article", "created": "2023-10-03", "title": "Seasonal variations of vegetative indices and their correlation with evapotranspiration and soil water storage in a small agricultural catchment", "description": "Open AccessA precise measurement of evapotranspiration (ET) and soil water storage (SWS) is necessary for crop management and understanding hydrological processes in agricultural catchments. In this study, we extracted the vegetative indices (VIs, including normalised difference vegetation index (NDVI), soil-adjusted vegetation index (SAVI), and enhanced vegetation index (EVI)) from satellite images of the Nu\u010dice catchment. We found a consistent seasonal pattern of VIs across the catchment with higher values and variation ranges during spring and summer and lower values and variation ranges during autumn and winter. Spatial variation of VIs also followed a seasonal trend, decreasing during crop growth and increasing after crop harvesting. Seasonal correlations were observed between monthly average ET and SWS with VIs throughout one crop season, which can be expressed mathematically as exponential functions. We propose that VIs can be used as a surrogate measure for ET and SWS in catchments with poor monitoring capabilities. Further studies are required to investigate the spatial distribution of ET and SWS throughout the watershed and their relationship with VIs. Furthermore, our research emphasises the importance of subsurface recharge in the water balance of the investigated fields. It suggests that subsurface flow may be influenced by potential gradients of the water table, driving its seasonal behaviour in response to bedrock morphology.", "keywords": ["catchment hydrology", "2. Zero hunger", "S", "0207 environmental engineering", "Agriculture", "04 agricultural and veterinary sciences", "02 engineering and technology", "Remote sensing", "15. Life on land", "6. Clean water", "remote sensing", "water balance", "0401 agriculture", " forestry", " and fisheries", "Soil moisture", "soil moisture", "Catchment hydrology", "Water balance"]}, "links": [{"href": "http://swr.agriculturejournals.cz/doi/10.17221/60/2023-SWR.pdf"}, {"href": "https://doi.org/10261/366357"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Water%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/366357", "name": "item", "description": "10261/366357", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/366357"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-30T00:00:00Z"}}, {"id": "10.3390/soilsystems3010021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:32Z", "type": "Journal Article", "created": "2019-03-25", "title": "Abiotic and Biotic Factors Influencing the Effect of Microplastic on Soil Aggregation", "description": "<p>Plastic is an anthropogenic, ubiquitous and persistent contaminant accumulating in our environment. The consequences of the presence of plastics for soils, including soil biota and the processes they drive, are largely unknown. This is particularly true for microplastic. There is only little data available on the effect of microplastics on key soil processes, including soil aggregation. Here, we investigated the consequences of polyester microfiber contamination on soil aggregation of a sandy soil under laboratory conditions. We aimed to test if the microfiber effects on soil aggregation were predominantly physical or biological. We found that soil biota addition (compared to sterile soil) had a significant positive effect on both the formation and stabilization of soil aggregates, as expected, while wet-dry cycles solely affected aggregate formation. Polyester microfiber contamination did not affect the formation and stability of aggregates. But in the presence of soil biota, microfibers reduced soil aggregate stability. Our results show that polyester microfibers have the potential to alter soil structure, and that these effects are at least partially mediated by soil biota.</p>", "keywords": ["570", "wet-dry cycle", "Physical geography", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "GB3-5030", "soil aggregation", "Chemistry", "soil microbes", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "polyester", "microplastic", "QD1-999", "fiber", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2571-8789/3/1/21/pdf"}, {"href": "https://www.mdpi.com/2571-8789/3/1/21/pdf"}, {"href": "https://doi.org/10.3390/soilsystems3010021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/soilsystems3010021", "name": "item", "description": "10.3390/soilsystems3010021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/soilsystems3010021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-22T00:00:00Z"}}, {"id": "10.3390/su12072578", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:33Z", "type": "Journal Article", "created": "2020-03-25", "title": "The Complex Pathway towards Farm-Level Sustainable Intensification: An Exploratory Network Analysis of Stakeholders\u2019 Knowledge and Perception", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Farm-level sustainable intensification of agriculture (SIA) has become an important concept to ensuring food security while minimising negative externalities. However, progress towards its achievement is often constrained by the different perceptions and goals of various stakeholders that affect farm management decisions. This study examines farm-level SIA as a dynamic system with interactive components that are determined by the interests of the stakeholders involved. A systems thinking approach was used to identify and describe the pathways towards farm-level SIA across the three main pillars of sustainability. An explanatory network analysis of fuzzy cognitive maps (FCMs) that were collectively created by representative groups of farmers, farm advisors and policy makers was performed. The study shows that SIA is a complex dynamic system, affected by cognitive beliefs and particular knowledge within stakeholder groups. The study concludes that, although farm-level SIA is a complex process, common goals can be identified in collective decision making.</p></article>", "keywords": ["2. Zero hunger", "S1", "fuzzy cognitive mapping", "sustainable intensification", "0211 other engineering and technologies", "02 engineering and technology", "S604.5_Agricultural", "15. Life on land", "01 natural sciences", "12. Responsible consumption", "mental models", "stakeholder views", "network analysis", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://eprints.glos.ac.uk/8258/1/sustainability-12-02578.pdf"}, {"href": "http://www.mdpi.com/2071-1050/12/7/2578/pdf"}, {"href": "https://www.mdpi.com/2071-1050/12/7/2578/pdf"}, {"href": "https://doi.org/10.3390/su12072578"}, {"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/su12072578", "name": "item", "description": "10.3390/su12072578", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su12072578"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-25T00:00:00Z"}}, {"id": "10.3390/soilsystems2040058", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:32Z", "type": "Journal Article", "created": "2018-10-29", "title": "Products of Hexavalent Chromium Reduction by Green Rust Sodium Sulfate and Associated Reaction Mechanisms", "description": "<p>The efficacy of in vitro Cr(VI) reduction by green rust sulfate suggests that this mineral is potentially useful for remediation of Cr-contaminated groundwater. Previous investigations studied this reaction but did not sufficiently characterize the intermediates and end products at chromate (CrO42\uffe2\uff88\uff92) concentrations typical of contaminant plumes, hindering identification of the dominant reaction mechanisms under these conditions. In this study, batch reactions at varying chromate concentrations and suspension densities were performed and the intermediate and final products of this reaction were analyzed using X-ray absorption spectroscopy and electron microscopy. This reaction produces particles that maintain the initial hexagonal morphology of green rust but have been topotactically transformed into a poorly crystalline Fe(III) oxyhydroxysulfate and are coated by a Cr (oxy) hydroxide layer that results from chromate reduction at the surface. Recent studies of the behavior of Cr(III) (oxy) hydroxides in soils have revealed that reductive transformation of CrO42\uffe2\uff88\uff92 is reversible in the presence of Mn(IV) oxides, limiting the applicability of green rust for Cr remediation in some soils. The linkage of Cr redox speciation to existing Fe and Mn biogeochemical cycles in soils implies that modification of green rust particles to produce an insoluble, Cr(III)-bearing Fe oxide product may increase the efficacy of this technique.</p>", "keywords": ["Geography & travel", "910", "green rust sulfate", " chromium", " EXAFS", " metal redox cycles", "540", "ddc:910", "metal redox cycles", "01 natural sciences", "6. Clean water", "620", "EXAFS", "13. Climate action", "ddc:540", "ddc:550", "green rust sulfate", "info:eu-repo/classification/ddc/910", "chromium", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/140695/1/Thomas%20et%20al%202018.pdf"}, {"href": "http://www.mdpi.com/2571-8789/2/4/58/pdf"}, {"href": "https://doi.org/10.3390/soilsystems2040058"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/soilsystems2040058", "name": "item", "description": "10.3390/soilsystems2040058", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/soilsystems2040058"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-29T00:00:00Z"}}, {"id": "10.3390/soilsystems7030078", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:32Z", "type": "Journal Article", "created": "2023-09-11", "title": "Research Evolution on the Impact of Agronomic Practices on Soil Health from 1996 to 2021: A Bibliometric Analysis", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In the last two decades, there has been a significant shift in focus towards soil health by international institutions, organizations, and scholars. Recognizing the vital role of soil in sustaining agriculture, ecosystems, and mitigating climate change, there has been a concerted effort to study and understand soil health more comprehensively. In this study, a bibliometric analysis was performed in order to determine the research trend of the articles published in the Scopus database in the last 26 years on soil health experimental studies and agronomic practices conducted in field conditions on agricultural soils. It has been observed that, after 2013, there has been a significant increase in research articles on soil health, with the USA and India research institutions ranking as the most productive on this topic. There is an asymmetry in international cooperation among research institutions, as well as for scholars. In addition, the research topic is gradually shifting from the effects of soil management strategies, especially nutrient management, on soil organic carbon and yield to the study of the impact of soil management on biochemistry and microbiological soil activities and greenhouse gas emissions. Future research should focus into more integrated approaches to achieve soil indicators enabling to evaluate the impact of sustainable management practices (e.g., cropping practices) on soil health.</p></article>", "keywords": ["2. Zero hunger", "Physical geography", "agronomic practices", "soil health", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "12. Responsible consumption", "GB3-5030", "Chemistry", "bibliometric analysis", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "QD1-999", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Mohamed Houssemeddine Sellami, Fabio Terribile,", "roles": ["creator"]}]}, "links": [{"href": "https://www.mdpi.com/2571-8789/7/3/78/pdf"}, {"href": "https://doi.org/10.3390/soilsystems7030078"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/soilsystems7030078", "name": "item", "description": "10.3390/soilsystems7030078", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/soilsystems7030078"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-11T00:00:00Z"}}, {"id": "10.3390/su10010270", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:33Z", "type": "Journal Article", "created": "2018-01-22", "title": "Responses of Vegetation Cover to Environmental Change in Large Cities of China", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Vegetation cover is crucial for the sustainability of urban ecosystems; however, this cover has been undergoing substantial changes in cities. Based on climate data, city statistical data, nighttime light data and the Normalized Difference Vegetation Index (NDVI) dataset, we investigate the spatiotemporal variations of climate factors, urban lands and vegetation cover in 71 large cities of China during 1998\u20132012, and explore their correlations. A regression model between growing-season NDVI (G-NDVI) and urban land proportion (PU) is built to quantify the impact of urbanization on vegetation cover change. The results indicate that the spatiotemporal variations of temperature, precipitation, PU and G-NDVI are greatly different among the 71 cities which experienced rapid urbanization. The spatial difference of G-NDVI is closely related to diverse climate conditions, while the inter-annual variations of G-NDVI are less sensitive to climate changes. In addition, there is a negative correlation between G-NDVI trend and PU change, indicating vegetation cover in cities have been negatively impacted by urbanization. For most of the inland cities, the urbanization impacts on vegetation cover in urban areas are more severe than in suburban areas. But the opposite occurs in 17 cities mainly located in the coastal areas which have been undergoing the most rapid urbanization. Overall, the impacts of urbanization on G-NDVI change are estimated to be \u22120.026 per decade in urban areas and \u22120.015 per decade in suburban areas during 1998\u20132012. The long-term developments of cities would persist and continue to impact on the environmental change and sustainability. We use a 15-year window here as a case study, which implies the millennia of human effects on the natural biotas and warns us to manage landscapes and preserve ecological environments properly.</p></article>", "keywords": ["13. Climate action", "11. Sustainability", "vegetation cover; urbanization; climate change; NDVI; cities; China", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/10/1/270/pdf"}, {"href": "https://www.mdpi.com/2071-1050/10/1/270/pdf"}, {"href": "https://doi.org/10.3390/su10010270"}, {"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/su10010270", "name": "item", "description": "10.3390/su10010270", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su10010270"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-20T00:00:00Z"}}, {"id": "10.3390/su10030794", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:33Z", "type": "Journal Article", "created": "2018-03-13", "title": "Assessment of Benefits of Conservation Agriculture on Soil Functions in Arable Production Systems in Europe", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Conventional farming (CONV) is the norm in European farming, causing adverse effects on some of the five major soil functions, viz. primary productivity, carbon sequestration and regulation, nutrient cycling and provision, water regulation and purification, and habitat for functional and intrinsic biodiversity. Conservation agriculture (CA) is an alternative to enhance soil functions. However, there is no analysis of CA benefits on the five soil functions as most studies addressed individual soil functions. The objective was to compare effects of CA and CONV practices on the five soil functions in four major environmental zones (Atlantic North, Pannonian, Continental and Mediterranean North) in Europe by applying expert scoring based on synthesis of existing literature. In each environmental zone, a team of experts scored the five soil functions due to CA and CONV treatments and median scores indicated the overall effects on five soil functions. Across the environmental zones, CONV had overall negative effects on soil functions with a median score of 0.50 whereas CA had overall positive effects with median score ranging from 0.80 to 0.83. The study proposes the need for field-based investigations, policies and subsidy support to benefit from CA adoption to enhance the five soil functions.</p></article>", "keywords": ["environmental zones", "330", "Conservation agriculture", "[SDV]Life Sciences [q-bio]", "Soil functions", "01 natural sciences", "630", "conventional farming", "Conventional farming", "zero tillage", "Biology", "0105 earth and related environmental sciences", "2. Zero hunger", "04 agricultural and veterinary sciences", "soil functions", "15. Life on land", "Environmental zones", "Zero tillage", "Chemistry", "conservation agriculture", "13. Climate action", "[SDE]Environmental Sciences", "soil function", "0401 agriculture", " forestry", " and fisheries", "soil functions; conservation agriculture; conventional farming; zero tillage; environmental zones", "Engineering sciences. Technology"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/10/3/794/pdf"}, {"href": "https://doi.org/10.3390/su10030794"}, {"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/su10030794", "name": "item", "description": "10.3390/su10030794", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su10030794"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-13T00:00:00Z"}}, {"id": "10.3390/su12051962", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:33Z", "type": "Journal Article", "created": "2020-03-04", "title": "Transitioning European Protein-Rich Food Consumption and Production towards More Sustainable Patterns\u2014Strategies and Policy Suggestions", "description": "<p>Global and European diets have shifted towards greater consumption of animal proteins. Recent studies urge reversals of these trends and call for a rapid transition towards adoption of more plant-based diets. This paper explored mechanisms to increase the production and consumption of plant-proteins in Europe by 2030, using participatory backcasting. We identified pathways to the future (strategies), as well as interim milestones, barriers, opportunities and actions, with key European stakeholders in the agri-food chain. Results show that four strategies could be implemented to achieve the desired future: increased research and development, enriched consumer education and awareness, improved and connected supply and value chains and public policy supports. Actions needed to reach milestones were required immediately, reinforcing the need for urgent actions to tackle the protein challenge. This study concretely detailed how idealized dietary futures can be achieved in a real-world context. It can support EU protein transition by informing policy makers and the broader public on potential ways to move towards a more sustainable plant-based future. The outputs of this analysis have the potential to be combined with dietary scenarios to develop more temporally explicit models of future dietary changes and how to reach them.</p>", "keywords": ["future", "2. Zero hunger", "Agricultura", "pathways", "food security", "01 natural sciences", "stakeholders", "Econom\u00eda", "12. Responsible consumption", "sustainable agriculture", "meat substitutes", "Medio Ambiente", "plant protein", "13. Climate action", "backcasting", "value chain", "meat substitution", "europe", "diet", "plant proteins", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/12/5/1962/pdf"}, {"href": "https://www.mdpi.com/2071-1050/12/5/1962/pdf"}, {"href": "https://doi.org/10.3390/su12051962"}, {"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/su12051962", "name": "item", "description": "10.3390/su12051962", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su12051962"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-04T00:00:00Z"}}, {"id": "10.3390/su12072629", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:33Z", "type": "Journal Article", "created": "2020-04-01", "title": "Italian Consumers\u2019 Willingness to Pay for Eucalyptus Firewood", "description": "<p>Eucalyptus trees cover about 20 million hectares globally and are used to produce pulp, paper and firewood for domestic uses. From an environmental perspective, these trees have fewer impacts than other crops. In Italy, plantations of eucalyptus can provide a large amount of biomass to satisfy part of the country\uffe2\uff80\uff99s internal demand. However, eucalyptus cultivation is less profitable than cultivation of traditional crops due to the low market prices of wood. This study aims both to analyze the willingness of a sample of Italian consumers to pay for eucalyptus firewood and to investigate the main factors that may affect this willingness. Data are collected from a sample of 231 consumers using a web-based survey. The double-bounded dichotomous choice contingent valuation model is then applied. The findings show that information, the energetic density of firewood, consumers\uffe2\uff80\uff99 interest in environment issues, and the age of respondents are aspects that are positively associated with respondents\uffe2\uff80\uff99 willingness to pay for eucalyptus firewood. Conversely, interest in both firewood species and packaging are factors that reduce consumer willingness to pay for eucalyptus firewood. Even though these results cannot be generalized to the whole Italian population, the findings may indicate new opportunities for eucalyptus, while growing demand for eucalyptus could offer an interesting opportunity for firms to enter the sector and develop marketing strategies targeted towards specific market niches.</p>", "keywords": ["2. Zero hunger", "double-bounded dichotomous choice contingent valuation model", " Eucalyptus Willingness to pay (WTP).", "consumer choices", "11. Sustainability", "Eucalyptus Willingness to pay (WTP)", "contingent valuation model", "15. Life on land", "consumer choices; contingency valuation method; double-bounded dichotomous choice contingent valuation model; Eucalyptus; Willingness to pay (WTP)", "01 natural sciences", "contingency valuation method", "double-bounded dichotomous choice", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/12/7/2629/pdf"}, {"href": "https://www.mdpi.com/2071-1050/12/7/2629/pdf"}, {"href": "https://doi.org/10.3390/su12072629"}, {"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/su12072629", "name": "item", "description": "10.3390/su12072629", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su12072629"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-26T00:00:00Z"}}, {"id": "10.3390/su12197978", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:33Z", "type": "Journal Article", "created": "2020-09-28", "title": "A General Outline of a Sustainable Supply Chain 4.0", "description": "<p>This article presents a literature review to identify the current knowledge of supply chains 4.0 from the sustainability perspective. Reviewed papers were classified in terms of objectives, results, and sustainability approaches. Additionally, a critical discussion with the main results and recommendations for further research was carried out. Manufacturing supply chains have been contemplated but agri-food supply chains and chains related to diversified cropping systems have been also considered. In this way, 54 articles were identified and revised, and were classified according to the three main aspects of sustainability: economic, social, and environmental. The classification of articles indicated that more attention has been paid to the environmental aspect in the industry 4.0 (I4.0) context in the literature, while the social aspect has been paid less attention. Finally, reference frameworks were identified, along with the I4.0 models, algorithms, heuristics, metaheuristics, and technologies, which have enabled sustainability in supply chains.</p>", "keywords": ["2. Zero hunger", "9. Industry and infrastructure", "05 social sciences", "review", "Review", "Supply chain", "15. Life on land", "sustainability", "Industry 4.0", "01 natural sciences", "7. Clean energy", "12. Responsible consumption", "Sustainability", "13. Climate action", "0502 economics and business", "11. Sustainability", "ORGANIZACION DE EMPRESAS", "industry 4.0", "supply chain", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.mdpi.com/2071-1050/12/19/7978/pdf"}, {"href": "https://doi.org/10.3390/su12197978"}, {"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/su12197978", "name": "item", "description": "10.3390/su12197978", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su12197978"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-26T00:00:00Z"}}, {"id": "10.3390/su122410518", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:33Z", "type": "Journal Article", "created": "2020-12-16", "title": "Local Action with Global Impact: The Case of the GROW Observatory and the Sustainable Development Goals", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>This article reports on Citizen Observatories\u2019 (COs) potential to contribute to the Sustainable Development Goals (SDGs), reflecting on the experience of the GROW Observatory (GROW). The research aims to take the first steps in closing the gap in the literature on COs\u2019 potential contributions to the SDG framework, beyond quantitative data contributions for indicator monitoring. Following an analysis of project activities and outcomes mapped against the SDG framework, the findings reveal GROW\u2019s potential contributions across two dimensions: (i) Actions to advance the implementation of goals and targets through awareness raising and training; participatory methods; multi-stakeholder connections; and supporting citizens to move from data to action and (ii) Data contributions to SDG indicator monitoring through citizen-generated datasets. While earlier research has focused mostly on the latter (dimension ii), CO activities can impact numerous goals and targets, highlighting their potential to relate global SDGs to local level action, and vice versa. These findings align with the growing literature on COs\u2019 ability to bring together policy makers, scientists and citizens, and support changes to environmental policy and practice. Furthermore, this research suggests groundwork activities that address the goal and target level can also enhance sustained data collection to contribute to indicator level monitoring. We conclude with future trends and recommendations for COs wishing to contribute to the SDGs.</p></article>", "keywords": ["participatory policy making", "330", "Sustainable Development Goals", "open data", "01 natural sciences", "333", "sustainable development Goals", "12. Responsible consumption", "13. Climate action", "citizen science", "11. Sustainability", "Citizen Observatory", "co-design", "SDG indicators", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/12/24/10518/pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/16942/1/sustainability-12-10518.pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/16942/2/sustainability-12-10518-s001.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/16942/1/sustainability-12-10518.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/16942/2/sustainability-12-10518-s001.pdf"}, {"href": "https://www.mdpi.com/2071-1050/12/24/10518/pdf"}, {"href": "https://doi.org/10.3390/su122410518"}, {"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/su122410518", "name": "item", "description": "10.3390/su122410518", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su122410518"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-16T00:00:00Z"}}, {"id": "10.3390/su13010190", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:33Z", "type": "Journal Article", "created": "2020-12-29", "title": "How Does Consumers\u2019 Care for Origin Shape Their Behavioural Gap for Environmentally Friendly Products?", "description": "<p>Climate change is threatening worldwide crop yields and varieties, and the desertification of Southern Europe and Mediterranean areas is endangering the cultivation of tomato, not only one of the most important cultivated crops, but also one of the main pillars of the global food industry. To minimize its environmental impact, current research efforts in Europe are selecting resilient tomato genotypes with reduced use of water and fertilizers. Still, its commercial acceptance depends on consumers\uffe2\uff80\uff99 reaction in terms of interests, attitudes, and willingness to buy and pay for this hypothetical resilient tomato. In our setting, a behavioural gap exists whenever despite an interest for the product, and regardless of a positive attitude towards it, consumers are not willing to pay a premium price for this tomato. This paper focuses on Italians, among the largest tomato consumers across the world, and for whom origin emerges as a relevant consumption driver. We carried out a web-survey, totalling 932 responses. We ran three different ordinal regressions, one for each level of involvement in the purchasing process, identifying the factors affecting consumers\uffe2\uff80\uff99 interest, attitude, and behaviour towards this hypothetical tomato. We prove the existence of a behavioural gap for Italian tomato consumers and observe that this gap widens as consumers\uffe2\uff80\uff99 preferences for origin increase. Hence, policies developing environmentally sustainable products should not forget how consumer preferences for non-strictly environmental attributes might ultimately affect their propensity to buy and pay.</p>", "keywords": ["2. Zero hunger", "Italy", "environmental sustainability; consumer behavioural gap; tomato; food origin; Italy", "8. Economic growth", "0502 economics and business", "05 social sciences", "food origin", "consumer behavioural gap", "environmental sustainability", "tomato", "15. Life on land", "12. Responsible consumption"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/13/1/190/pdf"}, {"href": "https://air.unimi.it/bitstream/2434/807303/2/sustainability-13-00190.pdf"}, {"href": "https://iris.unito.it/bitstream/2318/1775786/1/sustainability-13-00190%20%286%29.pdf"}, {"href": "https://www.mdpi.com/2071-1050/13/1/190/pdf"}, {"href": "https://doi.org/10.3390/su13010190"}, {"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/su13010190", "name": "item", "description": "10.3390/su13010190", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su13010190"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-28T00:00:00Z"}}, {"id": "10.3390/su16114391", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:34Z", "type": "Journal Article", "created": "2024-05-22", "title": "The Action of Environmental Factors on Carbon Dioxide Efflux per Growing Season and Non-Growing Season", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The intensity of carbon dioxide can vary depending on land management practices, temperature of the soil, and soil moisture. The soil CO2 efflux per non-growing season was 61% lower than per growing season. The CO2 efflux, averaged across data, tended to decrease in the following orders: grassland &gt; forest &gt; no-tillage &gt; reduced tillage &gt; conventional tillage (per non-growing season and measurement period) and grassland &gt; forest &gt; no-tillage &gt; conventional tillage &gt; reduced tillage (per growing season). Soil temperature averaged; in the natural land uses, it was 18% lower than in the anthropogenic land uses. Soil temperature averaged; in the non-growing season, it was 55% lower than under the growing season. The temperature (up to 25 \u00b0C) increased the soil CO2 efflux per measurement period. By increasing the temperature in the soil, the soil efflux decreased in natural land use under growing season, but in anthropogenic land use, it increased per measurement period. The volumetric water content averaged; in the non-growing season, it was 3% lower than under the growing season. The volumetric water content had a positive effect on CO2 efflux, but when the water content was higher than 15% in anthropogenic land use, and 20% in natural land use per growing season, the relationships were negative.</p></article>", "keywords": ["2. Zero hunger", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.mdpi.com/2071-1050/16/11/4391/pdf"}, {"href": "https://doi.org/10.3390/su16114391"}, {"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/su16114391", "name": "item", "description": "10.3390/su16114391", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su16114391"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-22T00:00:00Z"}}, {"id": "10.3390/su122410596", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:33Z", "type": "Journal Article", "created": "2020-12-21", "title": "Farm-Scale Biofuel Crop Adoption and Its Effects on In-Basin Water Balance", "description": "<p>In the face of future climate change, Europe has encouraged the adoption of biofuel crops by its farmers. Such land-use changes can have significant impacts on the water balance and hydrological behavior of a system. While the heavy pesticide use associated with biofuel crops has been extensively studied, the water balance impacts of these crops have been far less studied. We conducted scenario analyses using the Soil and Water Assessment Tool (SWAT) to determine the effects of farm-scale biofuel crop adoption (rapeseed) on a basin\uffe2\uff80\uff99s water balance. We found that rapeseed adoption does not support the goal of developing a sustainable agricultural landscape in the Czech Republic. The adoption of rapeseed also had disproportionate effects on a basin\uffe2\uff80\uff99s water balance depending on its location in the basin. Additionally, discharge (especially surface runoff ratios), evapotranspiration, and available soil water content display significant shifts in the rapeseed adoption scenarios.</p>", "keywords": ["2. Zero hunger", "biofuel crop", "Sustainable agriculture", "0207 environmental engineering", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "End hunger", " achieve food security and improved nutrition and promote sustainable agriculture", "7. Clean energy", "6. Clean water", "sustainable agriculture", "water balance", "http://metadata.un.org/sdg/2", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "SWAT model", "Water balance", "Biofuel crop"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/12/24/10596/pdf"}, {"href": "https://www.mdpi.com/2071-1050/12/24/10596/pdf"}, {"href": "https://doi.org/10.3390/su122410596"}, {"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/su122410596", "name": "item", "description": "10.3390/su122410596", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su122410596"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-18T00:00:00Z"}}, {"id": "10.3390/su13031436", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:33Z", "type": "Journal Article", "created": "2021-01-29", "title": "Horticulture and Orchards as New Markets for Manure Valorisation with Less Environmental Impacts", "description": "<p>Animal manure management is a real challenge to minimize environmental impacts and ensure that this valuable material is efficiently used in a circular economy context. One of the main limitations for larger use of animal manure as fertilizer is the availability of land to receive it in an area close to the farm. Indeed, animal manure is traditionally used for cereals and animal feed growth, but the soil area occupied with these crops might not be enough to receive all the manure produced and/or part of this soil might have nutrient contents, namely phosphorous, that do not permit further application of manure. Hence, extra land used for other agricultural activities might be an option. The main objective of the present review was to analyse the constraints and solutions to increase the use of manure in horticulture and orchards. Emphasis was given to the legal framework for manure utilization in the EU that might stimulate or restrain such a solution. The main characteristics of manure that might limit or stimulate manure reuse were also described, and the potential of some treatments to valorise manure was analysed. Several examples of alternative uses of manure in horticulture and orchards were examined, and the society and farmers\uffe2\uff80\uff99 acceptance of the proposed solution was addressed.</p>", "keywords": ["2. Zero hunger", "farmer's acceptance", "pathogens", "water contamination", "04 agricultural and veterinary sciences", "15. Life on land", "ammonia", "01 natural sciences", "12. Responsible consumption", "organic fertilizer", "13. Climate action", "greenhouse gases", "0401 agriculture", " forestry", " and fisheries", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.mdpi.com/2071-1050/13/3/1436/pdf"}, {"href": "https://doi.org/10.3390/su13031436"}, {"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/su13031436", "name": "item", "description": "10.3390/su13031436", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su13031436"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-29T00:00:00Z"}}, {"id": "10.3390/su13042201", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:33Z", "type": "Journal Article", "created": "2021-02-19", "title": "Dynamic Complex Network Analysis of PM2.5 Concentrations in the UK, Using Hierarchical Directed Graphs (V1.0.0)", "description": "<p>The risk of a broad range of respiratory and heart diseases can be increased by widespread exposure to fine atmospheric particles on account of their capability to have a deep penetration into the blood streams and lung. Globally, studies conducted epidemiologically in Europe and elsewhere provided the evidence base indicating the major role of PM2.5 leading to more than four million deaths annually. Conventional approaches to simulate atmospheric transportation of particles having high dimensionality from both transport and chemical reaction process make exhaustive causal inference difficult. Alternative model reduction methods were adopted, specifically a data-driven directed graph representation, to deduce causal directionality and spatial embeddedness. An undirected correlation and a directed Granger causality network were established through utilizing PM2.5 concentrations in 14 United Kingdom cities for one year. To demonstrate both reduced-order cases, the United Kingdom was split up into two southern and northern connected city communities, with notable spatial embedding in summer and spring. It continued to reach stability to disturbances through the network trophic coherence parameter and by which winter was construed as the most considerable vulnerability. Thanks to our novel graph reduced modeling, we could represent high-dimensional knowledge in a causal inference and stability framework.</p>", "keywords": ["Civil and Environmental Engineering", "bepress|Engineering|Civil and Environmental Engineering|Environmental Engineering", "engrXiv|Engineering|Civil and Environmental Engineering|Environmental Engineering", "Environmental Engineering", "causality", "PM<sub>2.5</sub>", "bepress|Engineering", "atmospheric pollution", "1. No poverty", "0207 environmental engineering", "PM2.5", "02 engineering and technology", "stability", "01 natural sciences", "333", "3. Good health", "Engineering", "engrXiv|Engineering", "complex network", "bepress|Engineering|Civil and Environmental Engineering", "engrXiv|Engineering|Civil and Environmental Engineering", "TD", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://wrap.warwick.ac.uk/149217/7/WRAP-Dynamic-complex-network-analysis-PM2.5-concentrations-2021.pdf"}, {"href": "http://www.mdpi.com/2071-1050/13/4/2201/pdf"}, {"href": "https://www.mdpi.com/2071-1050/13/4/2201/pdf"}, {"href": "https://doi.org/10.3390/su13042201"}, {"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/su13042201", "name": "item", "description": "10.3390/su13042201", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su13042201"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-18T00:00:00Z"}}, {"id": "10.3390/su16156637", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:34Z", "type": "Journal Article", "created": "2024-08-02", "title": "Performance and Sustainability of Organic and Conventional Cotton Farming Systems in Egypt: An Environmental and Energy Assessment", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Cotton cultivation is resource-intensive, posing significant environmental challenges, especially with conventional farming methods. Growing interest in sustainable agriculture drives the exploration of organic farming as a potential alternative with lower environmental impacts. Despite its benefits, organic farming often faces criticism for lower crop yields, sparking debates on the trade-offs between productivity and environmental impact. This study hypothesizes that organic cotton farming will have a smaller environmental footprint and higher energy efficiency compared to conventional methods. To test this hypothesis, a cradle-to-farm gate energy analysis and life cycle assessment (LCA) were conducted on both organic and conventional seed cotton production systems in the Beheira governorate of Egypt. The ReCiPe 2016 midpoint and endpoint characterization model was used for an environmental impact assessment. The impacts were evaluated using two functional units: one ton of seed cotton and one hectare of cultivated cotton. The findings revealed that organic cotton outperforms conventional cotton in net energy gain, efficiency, and profitability, with higher productivity and lower energy intensity. Regardless of the functional unit used (mass- or land-based), the assessed organic systems generally show a better environmental performance than the conventional systems in the local context, even when accounting for data uncertainty. This is due to lower input intensity and the use of less energy-intensive organic fertilizers and bio-fertilizers. Fertilization and irrigation are key factors influencing environmental impacts, with fertilization affecting midpoint impacts and irrigation affecting endpoint impacts. Therefore, precision fertilization, efficient irrigation practices, and effective nutrient and soil moisture management are recommended to minimize environmental impacts. Subsequent studies could explore whether similar patterns are observed in different geographic regions and evaluate additional social and economic aspects of cotton sustainability beyond environmental impacts. Future agricultural LCAs should use both mass-based and area-based functional units to capture a broader range of environmental effects and evaluate the co-benefits and trade-offs between organic and conventional practices.</p></article>", "keywords": ["2. Zero hunger", "13. Climate action", "11. Sustainability", "0202 electrical engineering", " electronic engineering", " information engineering", "02 engineering and technology", "15. Life on land", "7. Clean energy", "01 natural sciences", "6. Clean water", "12. Responsible consumption", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.3390/su16156637"}, {"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/su16156637", "name": "item", "description": "10.3390/su16156637", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su16156637"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-02T00:00:00Z"}}, {"id": "10.3390/su13031570", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:33Z", "type": "Journal Article", "created": "2021-02-02", "title": "Agronomic and Environmental Performance of Lemnaminor Cultivated on Agricultural Wastewater Streams\u2014A Practical Approach", "description": "<p>This study investigated the potential of Lemna minor to valorise agricultural wastewater in protein-rich feed material in order to meet the growing demand for animal feed protein and reduce the excess of nutrients in certain European regions. For this purpose, three pilot-scale systems were monitored for 175 days under outdoor conditions in Flanders. The systems were fed with the effluent of aquaculture (pikeperch production\uffe2\uff80\uff94PP), a mixture of diluted pig manure wastewater (PM), and a synthetic medium (SM). PM showed the highest productivity (6.1 \uffc2\uffb1 2.5 g DW m\uffe2\uff88\uff922 d\uffe2\uff88\uff921) and N uptake (327 \uffc2\uffb1 107 mg N m\uffe2\uff88\uff922 d\uffe2\uff88\uff921). PP yielded a similar productivity and both wastewaters resulted in higher productivities than SM. Furthermore, all media showed similar P uptake rates (65\uffe2\uff80\uff9370 P m\uffe2\uff88\uff922 d\uffe2\uff88\uff921). Finally, duckweed had a beneficial amino acid composition for humans (essential amino acid index = 1.1), broilers and pigs. This study also showed that the growing medium had more influence on the productivity of duckweed than on its amino acid composition or protein content, with the latter being only slightly affected by the different media studied. Overall, these results demonstrate that duckweed can effectively remove nutrients from agriculture wastewaters while producing quality protein.</p>", "keywords": ["Planning and Development", "biological effluent treatment", "nutrient recycling", "2. Zero hunger", "0301 basic medicine", "Sustainability and the Environment", "Geography", "Monitoring", "Policy and Law", "constructed wetlands", "01 natural sciences", "6. Clean water", "Management", "12. Responsible consumption", "03 medical and health sciences", "13. Climate action", "Earth and Environmental Sciences", "protein alternatives", "Lemnaceae", "Renewable Energy", "amino acid composition", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/13/3/1570/pdf"}, {"href": "https://www.mdpi.com/2071-1050/13/3/1570/pdf"}, {"href": "https://doi.org/10.3390/su13031570"}, {"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/su13031570", "name": "item", "description": "10.3390/su13031570", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su13031570"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-02T00:00:00Z"}}, {"id": "10.3390/su13073732", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:33Z", "type": "Journal Article", "created": "2021-03-26", "title": "The Optimisation Analysis of Sand-Clay Mixtures Stabilised with Xanthan Gum Biopolymers", "description": "<p>Sand\uffe2\uff80\uff93clay mixtures can be encountered in both natural soils (e.g., residual soils, clay deposits and clinosols) and artificial fills. The method of utilising biopolymers in ground improvement for sand\uffe2\uff80\uff93clay mixtures has emerged recently. However, a full understanding of the strengthening effect of biopolymer-treated sand\uffe2\uff80\uff93clay mixtures has not yet been achieved due to a limited number of relevant studies. In this study, xanthan gum (XG), as one of the eco-friendly biopolymers, was used to treat reconstituted sand\uffe2\uff80\uff93clay mixtures that had various compositions in related to clay (or sand) content and clay type (kaolin and bentonite). A series of laboratory unconfined compression strength (UCS) tests were conducted to probe the performances of XG-treated sand\uffe2\uff80\uff93clay mixtures from two aspects, i.e., optimum treatment conditions (e.g., XG content and initial moisture content) to achieve the maximum strengthening effect and strengthening efficiency for the sand\uffe2\uff80\uff93clay mixtures with different compositions. The experimental results indicated that the optimum initial moisture content decreased as the sand content increased. The optimum XG content, which also decreased with the increasing sand content, remained approximately 3.75% for all sand\uffe2\uff80\uff93kaolin mixtures and 5.75% for all sand\uffe2\uff80\uff93bentonite mixtures if calculated based on clay fraction. While untreated sand\uffe2\uff80\uff93kaolin mixtures and sand\uffe2\uff80\uff93bentonite mixtures had comparable UCS values, XG-treated sand\uffe2\uff80\uff93kaolin mixtures seemed to have better improved mechanical strength due to higher ionic (or hydrogen) bonds with XG and low-swelling properties compared with bentonite. The deformation modulus of XG-treated sand\uffe2\uff80\uff93clay mixtures were positively related with UCS. The variation in UCS and stiffness for each treatment condition increased as the sand content was elevated for both sand-kaolin and sand-bentonite mixtures. An increment in the proportion of the heterogeneous composite formed by irregular sand particles conglomerated with the XG\uffe2\uff80\uff93clay matrix in total soil might be responsible for this phenomenon.</p>", "keywords": ["Civil and Environmental Engineering", "TP", "initial moisture content", "engrXiv|Engineering|Civil and Environmental Engineering|Civil Engineering", "bepress|Engineering", "bentonite", "xanthan gum", "QK", "TN", "0211 other engineering and technologies", "sand-clay mixture", "02 engineering and technology", "uniaxial compressive strength tests", "bepress|Engineering|Civil and Environmental Engineering|Civil Engineering", "Civil Engineering", "6. Clean water", "Engineering", "engrXiv|Engineering", "TA", "bepress|Engineering|Civil and Environmental Engineering", "engrXiv|Engineering|Civil and Environmental Engineering", "QE", "kaolin", "biopolymer content"], "contacts": [{"organization": "Geng, Xueyu, Ma, Lei, Hao, Gang-Lai, Ni, Jing, Chen, Jia-Qi,", "roles": ["creator"]}]}, "links": [{"href": "http://wrap.warwick.ac.uk/150469/7/WRAP-Optimisation-analysis-sand-clay-mixtures-stabilised-xanthan-gum-biopolymers-2021.pdf"}, {"href": "http://www.mdpi.com/2071-1050/13/7/3732/pdf"}, {"href": "https://www.mdpi.com/2071-1050/13/7/3732/pdf"}, {"href": "https://doi.org/10.3390/su13073732"}, {"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/su13073732", "name": "item", "description": "10.3390/su13073732", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su13073732"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-26T00:00:00Z"}}, {"id": "10.3390/su132413757", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:33Z", "type": "Journal Article", "created": "2021-12-14", "title": "The Small Water Cycle in the Czech Landscape: How Has It Been Affected by Land Management Changes Over Time?", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>For the Czech Republic to recover from the effects of past mismanagement, it is necessary to determine how its landscape management can be improved holistically by reinforcing the small water cycle. We conducted a scenario analysis across four time periods using SWAT (Soil and Water Assessment Tool) to determine the effects of land use, land management, and crop rotation shifts since the 1800s in what is now the Czech Republic. The 1852 and 1954 land-use scenarios behaved the most similarly hydrologically across all four scenarios, likely due to minimal landscape transformation and the fact that these two scenarios occur prior to the widespread incorporation of subsurface tile drainages across the landscape. Additionally, the crop rotation of 1920\u20131938 reinforces the small water cycle the most, while that of 1950\u20131989 reinforces the small water cycle the least. Diversified crop rotations should be incentivized to farmers, and increasing the areas of forest, brush, and permanent grassland should be prioritized to further reinforce the small water cycle. It is necessary to foster relationships and open communication between watershed managers, landowners, and scientists to improve the small water cycle and to pave the way for successful future hydrological modeling in the Czech Republic.</p></article>", "keywords": ["landscape management; small water cycle; crop rotation; land-use change; scenario analysis; SWAT", "2. Zero hunger", "Land-use change", "04 agricultural and veterinary sciences", "15. Life on land", "Small water cycle", "01 natural sciences", "Scenario analysis", "6. Clean water", "Landscape management", "Crop rotation", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "SWAT", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/13/24/13757/pdf"}, {"href": "https://www.mdpi.com/2071-1050/13/24/13757/pdf"}, {"href": "https://doi.org/10.3390/su132413757"}, {"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/su132413757", "name": "item", "description": "10.3390/su132413757", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su132413757"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-13T00:00:00Z"}}, {"id": "10.3390/su132413991", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:33Z", "type": "Journal Article", "created": "2021-12-20", "title": "Humanitarian Mapping as a Contribution to Achieving Sustainable Development Goals: Research into the Motivation of Volunteers and the Ideal Setting of Mapathons", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Missing Maps is a humanitarian mapping project that maps vulnerable places in the developing world. Its outcomes are used to target aid in affected areas and to help achieve Sustainable Development Goals. A mapathon is an event in which a group of volunteers maps a defined location. The presented communication answers the following questions: What is the motivation of different contributors in the Missing Maps community in Czechia and Slovakia? How can a mapathon be set up to attract as many participants as possible? How exactly can the contributors to humanitarian mapping subjectively evaluate their contribution so far? A questionnaire about the motivation of contributors and the analysis of statistics from eighteen public mapathons in Brno (Czechia) were used as the primary research methods. The analysis of motivation found six strong motivators. Half of them concern altruism and half of them relate to the importance of the OpenStreetMap project and the mapping community. Analysis of the characteristics of 18 mapathons found that the month of the mapathon had a significant influence on the number of attendants. Statistical analysis confirmed a significant correlation between the number of edits and participants\u2019 self-assessment. This means that humanitarian mappers evaluate their overall contribution very realistically. Analyses with an identical scope are planned for future years.</p></article>", "keywords": ["11. Sustainability", "0211 other engineering and technologies", "1. No poverty", "02 engineering and technology", "01 natural sciences", "0105 earth and related environmental sciences", "12. Responsible consumption"]}, "links": [{"href": "https://www.mdpi.com/2071-1050/13/24/13991/pdf"}, {"href": "https://doi.org/10.3390/su132413991"}, {"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/su132413991", "name": "item", "description": "10.3390/su132413991", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su132413991"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-18T00:00:00Z"}}, {"id": "10.3390/su14105748", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:34Z", "type": "Journal Article", "created": "2022-05-10", "title": "Using WaTEM/SEDEM to Model the Effects of Crop Rotation and Changes in Land Use on Sediment Transport in the Vrchlice Watershed", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The Czech landscape has undergone various changes over the last 100 years and has been mainly adapted agriculturally for economic purposes. This has resulted, among other things, in reservoirs being clogged with sediment. The Vrchlice Reservoir was built in 1970 to supply drinking water for around 50,000 inhabitants, and increased sedimentation has been detected in the reservoir in recent years. Water erosion and sediment transport were modeled with WaTEM/SEDEM. Sediment volumes were measured in eight ponds across the watershed for calibration purposes. Modeled results from ponds in watersheds covered mostly with arable lands generally corresponded with the measured values. Although in forested watersheds, the measured sediment volumes greatly exceeded modeled sediment yields, indicating high uncertainty in using USLE-based models in non-agricultural watersheds. The modeled scenarios represented pre-Communist, Communist, and post-Communist eras. For these periods WaTEM/SEDEM was used to evaluate three isolated effects: the effects of various crops on arable lands, the effects of farmland fragmentation, and finally the effects of changes in land use. The change in crops proved to be an important factor causing high siltation rate (potential 23% reduction in sediment yield for historical periods), and land fragmentation played the second important role (potential 15% reduction in sediment yield can be reached by land fragmentation). Across all scenarios, the lowest sediment yield and reservoirs siltation rates were obtained from the pre-Communist and Communist crop share under current land use conditions, and current land use with farmland fragmentation implemented, as it was re-constructed for the pre-Communist era. This supports the idea that the introduction of green areas within arable lands are beneficial to the landscape and can help reduce soil erosion and reservoir siltation.</p></article>", "keywords": ["2. Zero hunger", "Czech republic", "sediment; reservoir; ponds; water erosion; WaTEM/SEDEM; Czech Republic", "15. Life on land", "01 natural sciences", "6. Clean water", "13. Climate action", "11. Sustainability", "Sediment", "WaTEM/SEDEM", "Water erosion", "Ponds", "Reservoir", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/14/10/5748/pdf"}, {"href": "https://www.mdpi.com/2071-1050/14/10/5748/pdf"}, {"href": "https://doi.org/10.3390/su14105748"}, {"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/su14105748", "name": "item", "description": "10.3390/su14105748", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su14105748"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-10T00:00:00Z"}}, {"id": "10.3390/su16030953", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:34Z", "type": "Journal Article", "created": "2024-01-23", "title": "The Content and Stratification of SOC and Its Humified Fractions Using Different Soil Tillage and Inter-Cropping", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Five different tillage systems were researched in a Cambisol of a loam texture in the long-term experiment: conventional ploughing at 22\u201324 cm (CT), shallow ploughing at 16\u201318 cm (ShT), harrowing at 8\u201310 cm (MT1), harrowing at 14\u201316 cm (MT2), and no tilling (NT). The aim of this study was to determine how different tillage and inter-cropping influence the accumulation and distribution of SOC (soil organic carbon) and its compounds in different soil layers. SOC content changed depending on the soil tillage system and inter-crops used. Stratification ratios (SR) of SOC in the surface soil (0\u201310 cm) to that in the 10\u201320 cm (SR1) and 20\u201330 cm (SR2) were calculated. In our research, SR for SOC varied in the range from 0.97 to 1.35 for SR1 and from 1.02 to 1.99 for SR2. The main conclusion was that inter-crops increased the SOC accumulation in the 0\u201310 cm layer of all investigated treatments. It was concluded that different soil tillage systems and inter-crops influenced processes of soil carbon changes and affected OM humification in the soil. The formation of humified carbon compounds should be considered not only as a preservation and improvement of the soil productivity, but also as an environmental assessment of their impact on the soil sustainability and reduction in carbon dioxide emissions into the atmosphere. Our results suggest that sustainable tillage and inter-cropping management may contribute to climate mitigation regarding SOC accumulation in soil.</p></article>", "keywords": ["2. Zero hunger", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.mdpi.com/2071-1050/16/3/953/pdf"}, {"href": "https://doi.org/10.3390/su16030953"}, {"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/su16030953", "name": "item", "description": "10.3390/su16030953", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su16030953"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-23T00:00:00Z"}}, {"id": "10.3390/su14052732", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:34Z", "type": "Journal Article", "created": "2022-02-28", "title": "Progress in Developing Scale-Able Approaches to Field-Scale Water Accounting Based on Remote Sensing", "description": "<p>To increase water productivity and assess water footprints in irrigated systems, there is a need to develop cheap and readily available estimates of components of water balance at fine spatial scales. Recent developments in satellite remote sensing platforms and modelling capacities have opened opportunities to address this need, such as those being developed in the WaterSENSE project. This paper showed how evapotranspiration, soil moisture, and farm-dam water volumes can be quantified based on the Copernicus data from the Sentinel satellite constellation. This highlights distinct differences between energy balance and crop factor approaches and estimates that can be derived from the point scale to the landscape scale. Differences in the results are related to assumptions in deriving evapotranspiration from remote sensing data. Advances in different parts of the water cycle and opportunities for crop detection and yield forecasting mean that crop water productivity can be quantified at field to landscape scales, but uncertainties are highly dependent on input data availability and reference validation data.</p>", "keywords": ["13. Climate action", "water use efficiency; Copernicus satellite data; irrigated agriculture", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/14/5/2732/pdf"}, {"href": "https://www.mdpi.com/2071-1050/14/5/2732/pdf"}, {"href": "https://doi.org/10.3390/su14052732"}, {"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/su14052732", "name": "item", "description": "10.3390/su14052732", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su14052732"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-25T00:00:00Z"}}, {"id": "10.3390/su142113828", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:34Z", "type": "Journal Article", "created": "2022-10-26", "title": "Vermicomposting as a Sustainable Option for Managing Biomass of the Invasive Tree Acacia dealbata Link", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The tree Acacia dealbata is native to Australia but has become invasive in many parts of the world thanks to its N-fixing capacity and to the allelopathic compounds present in its biomass. We conducted a pilot-scale study to assess the potential conversion of A. dealbata biomass by vermicomposting via the earthworm Eisenia andrei. The flowering aerial A. dealbata biomass was shredded and placed in a vermireactor under greenhouse conditions for 56 days. The vermicomposted material was sampled every two weeks to analyse its biological and chemical parameters. The phytotoxicity of the fresh A. dealbata material and vermicompost was assessed via an ecotoxicological test with Lepidium sativum seeds. The activity of the earthworms caused strong modifications of the properties of the processed material: the electric conductivity, basal respiration, and organic matter content were reduced, whereas the concentrations of other elements such as N, P, or Zn increased. The earthworm biomass increased steadily until day 42 and then decreased, probably due to the depletion of labile organic matter during the initial stages of vermicomposting. The fresh A. dealbata material reduced the germination and radicle elongation of L. sativum, whereas vermicompost showed the same values as control. The produced vermicompost was an organic fertiliser rich in N and was not phytotoxic. Vermicomposting provides an opportunity to create a new value chain for the control of the invasive tree A. dealbata.</p></article>", "keywords": ["2401.91 Invertebrados no Insectos", "<i>Eisenia andrei</i>; epigeic earthworms; germination tests; organic fertiliser; phytotoxicity", "24 Ciencias de la Vida", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/14/21/13828/pdf"}, {"href": "https://www.mdpi.com/2071-1050/14/21/13828/pdf"}, {"href": "https://doi.org/10.3390/su142113828"}, {"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/su142113828", "name": "item", "description": "10.3390/su142113828", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su142113828"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-25T00:00:00Z"}}, {"id": "10.3390/su152416948", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:34Z", "type": "Journal Article", "created": "2023-12-18", "title": "Microalgae Production on Biogas Digestate in Sub-Alpine Region of Europe\u2014Development of Simple Management Decision Support Tool", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In a one-and-a-half-year study conducted in the ALS6 region in Europe (Ljubljana, Slovenia), the cultivation of microalgae in anaerobic digestate from food waste, mainly Scenedesmus dimorphus and Scenedesmus quadricauda, was investigated in three ponds (1260 L each) under a greenhouse. The effects of changing digestate quality and quantity as well as seasonal fluctuations on the productivity of the microalgae were investigated in three stages: Learning/Design (SI), Testing (SII), and Verification/Calibration (SIII). A decision support tool (DST) was developed using easy-to-measure parameters such as pH, temperature, electrical conductivity, mineral nitrogen forms and physical, biological parameters (OD, delayed fluorescence intensity). To control optimal pond operation, we proposed the photosynthetic culture index (PCI) as an early indicator for necessary interventions. Flocculation and nitrite levels (above 3 mg NO2-N L\u22121) were signals for the immediate remediation of the algae culture. Under optimal conditions in summer SIII, an average algal biomass production of 11 \u00b1 1.5 g m\u22122 day\u22121 and a nitrogen use efficiency of 28 \u00b1 2.6 g biomass/g N-input were achieved with the developed DST. The developed DST tool was, in this study, successfully implemented and used for the cultivation of microalgae consortia predominated by Scenedesmus dimorphus and S. quadricauda with biogas digestate. DST offers the possibility to be modified according to producers\u2019 specific needs, facility, digestate and climate conditions, and as such, could be used for different microalgae cultivation processes with biogas digestate as a food source.</p></article>", "keywords": ["anaerobic digestion", "2. Zero hunger", "0106 biological sciences", "decision support tool", "anaerobna presnova", "circular economy", "orodja za podporo odlo\u010danju", "15. Life on land", "7. Clean energy", "01 natural sciences", "microalgae Scenedesmus", "6. Clean water", "open ponds", "circular economy", " anaerobic digestion", " food waste digestate", " microalgae Scenedesmus", " open ponds", " decision support tool", "kro\u017eno gospodarstvo", "digestat \u017eivilskih odpadkov", "mikroalge", "13. Climate action", "\u017eivilski odpadki", "food waste digestate", "kro\u017eno gospodarstvo", " anaerobna presnova", " digestat \u017eivilskih odpadkov", " \u017eivilski odpadki", " mikroalge", " Scenedesmus", " odprti ribniki", " orodja za podporo odlo\u010danju", "info:eu-repo/classification/udc/63", "odprti ribniki", "Scenedesmus", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.mdpi.com/2071-1050/15/24/16948/pdf"}, {"href": "https://doi.org/10.3390/su152416948"}, {"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/su152416948", "name": "item", "description": "10.3390/su152416948", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su152416948"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-18T00:00:00Z"}}, {"id": "10.3390/su16031308", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:34Z", "type": "Journal Article", "created": "2024-02-05", "title": "Natural/Small Water Retention Measures: Their Contribution to Ecosystem-Based Concepts", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The increasing incidence of droughts and heavy rainfall events is exacerbating conflicts between human and environmental demands for water. However, through providing multiple water-related ecosystem services and benefits simultaneously, Natural/Small Water Retention Measures (NSWRM) can mitigate such competing claims. Thus, they also contribute to the achievement of various Sustainable Development Goals and environmental targets set out in water- and agriculture-related policies of the European Union. In particular, NSWRM provide for the sound management of watersheds, which can significantly contribute to improved water quality and availability\u2014as well as improving the resilience of agriculture and society. This paper demonstrates how NSWRM fit into the framework of ecosystem-based concepts, including Natural Water Retention Measures (NWRM), Green Infrastructure (GI), Sustainable Land Management (SLM), Ecosystem-based Adaptation (EbA), and Nature-based Solutions (NbS). NSWRM, as a distinct concept, bring added value to the other concepts by focussing on easy-to-implement, modestly sized, localised technical solutions to problems associated with water management, sediment, and nutrient loss. Through experience under the EU Horizon 2020 project OPTAIN (\u201cOPtimal strategies to retAIN and re-use water and nutrients in small agricultural catchments across different soil-climatic regions in Europe\u201d), we show what NSWRM are, how they are linked to each of the ecosystem-based concepts, and how they can help add value to these concepts. Fourteen case studies are drawn upon from diverse countries across Europe. As a result of this analysis, we present the potential for the application of NSWRM in the context of these concepts, while helping to identify planning tools, the expertise required, and potential funding mechanisms.</p></article>", "keywords": ["13. Climate action", "11. Sustainability", "570 Life sciences; biology", "15. Life on land", "01 natural sciences", "6. Clean water", "12. Responsible consumption", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://boris.unibe.ch/193071/1/Magnier_et-al_2024_Natural-Small_Water_Retention_Measures__Their_Contribution_to_Ecosystem-Based_Concepts.pdf"}, {"href": "https://doi.org/10.3390/su16031308"}, {"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/su16031308", "name": "item", "description": "10.3390/su16031308", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su16031308"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-04T00:00:00Z"}}, {"id": "10.3390/su16104050", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:34Z", "type": "Journal Article", "created": "2024-05-14", "title": "Long-Time Assessment of the Organic Farmer\u2019s Market in Granada (Spain)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In recent years the world has seen an increase in the popularity of farmer\u2019s markets, short food supply chains and local food systems. This growth can be attributed to the public\u2019s growing consciousness of the impracticality of the global food system, globalization\u2019s waste of fossil fuels, the fear of food chemicals, and small farmers\u2019 desire to directly sell their products, among other things. Although there are a wealth of farmer\u2019s market surveys and research on this topic that has been conducted over the past decades around the world, scant data have been collected about farmer\u2019s markets in the south of Spain. This study focuses on the organic farmer\u2019s market in Granada (Spain) and consists of five surveys developed in 8 years which are analyzed to help better understand this market that was first established in the Spring of 2013. It will also consider research on farmer\u2019s markets in Europe and beyond in order to compare the situation of the Granada market as well as bringing in some new ideas of how it can be improved.</p></article>", "keywords": ["2. Zero hunger", "Organic food", "0211 other engineering and technologies", "Consumers", "02 engineering and technology", "Farmer\u2019s market", "01 natural sciences", "12. Responsible consumption", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.3390/su16104050"}, {"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/su16104050", "name": "item", "description": "10.3390/su16104050", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su16104050"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-12T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=IRON&offset=3950&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=IRON&offset=3950&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": "prev", "title": "items (prev)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=IRON&offset=3900", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=IRON&offset=4000", "hreflang": "en-US"}], "numberMatched": 6884, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-04-04T23:37:15.988062Z"}