{"type": "FeatureCollection", "features": [{"id": "10.1007/s10705-007-9098-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:15:06Z", "type": "Journal Article", "created": "2007-04-05", "title": "Reduced Nitrate Concentrations In Shallow Ground Water Under A Non-Fertilised Grass Buffer Strip", "description": "In this paper the suitability of a buffer strip to reduce nitrate concentrations in the upper groundwater was tested for a sandy arable soil in The Netherlands during two consecutive leaching seasons. The bufferstrip was a 3.5\u00a0m wide unfertilised grass strip adjacent to a ditch on an arable field. In total 24 groundwater wells were installed in 4 transects perpendicular to the ditch to determine Cl, NO3 and \u03b415N concentrations. Piezometers were installed to assess the groundwater flow, which was in the direction of the ditch with small downward leakage across a peat layer at about 3\u00a0m depth. Nitrogen was dominantly present as nitrate (NO3). The NO3-N concentrations under the bufferstrip were significantly lower than under the adjacent arable field. The lower concentrations were due to dilution, uptake by grass and denitrification. Nitrate was actively removed in the bufferstrip, since the Cl/NO3 ratios were higher in the bufferstrip than in the remainder of the field. Furthermore, \u03b415N data indicated that denitrification occurred in the groundwater and increased with decreasing distance to the ditch. NO3-N loads to the ditch were estimated at 8.5\u00a0kg\u00a0ha\u22121yr\u22121, which is relatively low for this area. We can, however, not determine whether these relatively low NO3-N loads were causally related to the reduced NO3-N concentrations in the bufferstrip. Nevertheless, the results of the present study are promising and justify additional research on the efficiency of bufferstrips to reduce NO3 concentrations in shallow groundwater, and subsequently reduce NO3 loading of surface water, under Dutch conditions.", "keywords": ["coastal-plain", "Soil Science", "netherlands", "dynamics", "04 agricultural and veterinary sciences", "01 natural sciences", "6. Clean water", "riparian zone", "surface waters", "nitrogen removal", "quality", "sandy soil", "0401 agriculture", " forestry", " and fisheries", "movement", "Agronomy and Crop Science", "agriculture", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1007/s10705-007-9098-2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nutrient%20Cycling%20in%20Agroecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10705-007-9098-2", "name": "item", "description": "10.1007/s10705-007-9098-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10705-007-9098-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-04-06T00:00:00Z"}}, {"id": "10261/373580", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:25:56Z", "type": "Dataset", "title": "Data on the profile of organic contaminants in the L'Albufera Natural Park (2019\u20132020). Target and non-target screening", "description": "Open AccessPeer reviewed", "keywords": ["Sediments", "Surface waters", "Pharmaceuticals", "Spatial distribution", "Pesticides", "Industrial compounds"], "contacts": [{"organization": "Soriano, Yolanda, Do\u00f1ate, Emilio, Asins Velis, Sabina, Andreu P\u00e9rez, V., Pic\u00f3, Yolanda,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/373580"}, {"rel": "self", "type": "application/geo+json", "title": "10261/373580", "name": "item", "description": "10261/373580", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/373580"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.1016/J.JENVMAN.2019.04.120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:15:36Z", "type": "Journal Article", "created": "2019-06-13", "title": "A spatial approach to identify priority areas for pesticide pollution mitigation", "description": "Identifying priority areas is an essential step in developing management strategies to reduce pesticide loads in surface water. A spatially explicit model-based approach was developed to detect priority areas for diffuse pesticide pollution at catchment scale. The method uses available datasets and considers different pesticide pathways in the environment post-application. The approach was applied in a catchment area in SE Flanders (Belgium) as a case study. Calculated risk areas were obtained using detailed landscape data and combining pesticide emissions and hydrological connectivity. The risk areas obtained were further compared with an alternative observation-based method, developed specifically for this study site that includes long-term field observations and local expert knowledge. Both methods equally classified 50% of the areas. The impact of crop rotation on the calculated risk was analysed. High-risk areas were identified and added to a cumulative map over all five years to evaluate temporal variations. The model-based approach was used for the initial identification of risk areas at the study site. The tool helps to prioritise zones and detect particular fields to target landscape mitigation measures to reduce diffuse pesticide pollution reaching surface water bodies.", "keywords": ["Technology and Engineering", "GIS modelling", "FATE", "0207 environmental engineering", "GLYPHOSATE", "02 engineering and technology", "Diffuse pesticide pollution", "01 natural sciences", "12. Responsible consumption", "CATCHMENT", "Belgium", "RUNOFF", "SURFACE WATERS", "Pesticides", "Biology", "0105 earth and related environmental sciences", "RISK", "Catchment scale", "Water Pollution", "Surface water", "Agriculture", "HERBICIDE LOSSES", "15. Life on land", "Field observations", "BUFFER ZONES", "TRANSPORT", "6. Clean water", "NO-TILL", "Chemistry", "13. Climate action", "Earth and Environmental Sciences", "Pesticide risk areas", "Water Pollutants", " Chemical"]}, "links": [{"href": "https://doi.org/10.1016/J.JENVMAN.2019.04.120"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/J.JENVMAN.2019.04.120", "name": "item", "description": "10.1016/J.JENVMAN.2019.04.120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/J.JENVMAN.2019.04.120"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2022.118808", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:16:26Z", "type": "Journal Article", "created": "2022-01-07", "title": "Microplastic variability in subsurface water from the Arctic to Antarctica", "description": "Comparative investigations of microplastic (MP) occurrence in the global ocean are often hampered by the application of different methods. In this study, the same sampling and analytical approach was applied during five different cruises to investigate MP covering a route from the East-Siberian Sea in the Arctic, through the Atlantic, and into the Antarctic Peninsula. A total of 121 subsurface water samples were collected using underway pump-through system on two different vessels. This approach allowed subsurface MP (100\u00a0\u03bcm-5\u00a0mm) to be evaluated in five regions of the World Ocean (Antarctic, Central Atlantic, North Atlantic, Barents Sea and Siberian Arctic) and to assess regional differences in MP characteristics. The average abundance of MP for whole studied area was 0.7\u00a0\u00b1\u00a00.6 items/m3 (ranging from 0 to 2.6 items/m3), with an equal average abundance for both fragments and fibers (0.34 items/m3). Although no statistical difference was found for MP abundance between the studied regions. Differences were found between the size, morphology, polymer types and weight concentrations. The Central Atlantic and Barents Sea appeared to have more MP in terms of weight concentration (7-7.5\u00a0\u03bcg/m3) than the North Atlantic and Siberian Arctic (0.6\u00a0\u03bcg/m3). A comparison of MP characteristics between the two Hemispheres appears to indicate that MP in the Northern Hemisphere mostly originate from terrestrial input, while offshore industries play an important role as a source of MP in the Southern Hemisphere. The waters of the Northern Hemisphere were found to be more polluted by fibers than those of the Southern Hemisphere. The results presented here suggest that fibers can be transported by air and water over long distances from the source, while distribution of fragments is limited mainly to the water mass where the source is located.", "keywords": ["550", "Arctic Regions", "Microplastics", "Microplastic", "Antarctic Regions", "Water", "Subsurface water", "01 natural sciences", "Global distribution", "Fibers", "Harmonization", "13. Climate action", "14. Life underwater", "Plastics", "Water Pollutants", " Chemical", "Environmental Monitoring", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2022.118808"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2022.118808", "name": "item", "description": "10.1016/j.envpol.2022.118808", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2022.118808"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-01T00:00:00Z"}}, {"id": "10.1016/j.jenvman.2019.04.120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:16:57Z", "type": "Journal Article", "created": "2019-06-13", "title": "A spatial approach to identify priority areas for pesticide pollution mitigation", "description": "Identifying priority areas is an essential step in developing management strategies to reduce pesticide loads in surface water. A spatially explicit model-based approach was developed to detect priority areas for diffuse pesticide pollution at catchment scale. The method uses available datasets and considers different pesticide pathways in the environment post-application. The approach was applied in a catchment area in SE Flanders (Belgium) as a case study. Calculated risk areas were obtained using detailed landscape data and combining pesticide emissions and hydrological connectivity. The risk areas obtained were further compared with an alternative observation-based method, developed specifically for this study site that includes long-term field observations and local expert knowledge. Both methods equally classified 50% of the areas. The impact of crop rotation on the calculated risk was analysed. High-risk areas were identified and added to a cumulative map over all five years to evaluate temporal variations. The model-based approach was used for the initial identification of risk areas at the study site. The tool helps to prioritise zones and detect particular fields to target landscape mitigation measures to reduce diffuse pesticide pollution reaching surface water bodies.", "keywords": ["Technology and Engineering", "GIS modelling", "FATE", "0207 environmental engineering", "GLYPHOSATE", "02 engineering and technology", "Diffuse pesticide pollution", "01 natural sciences", "12. Responsible consumption", "CATCHMENT", "Belgium", "RUNOFF", "SURFACE WATERS", "Pesticides", "Biology", "0105 earth and related environmental sciences", "RISK", "Catchment scale", "Water Pollution", "Surface water", "Agriculture", "HERBICIDE LOSSES", "15. Life on land", "Field observations", "BUFFER ZONES", "TRANSPORT", "6. Clean water", "NO-TILL", "Chemistry", "13. Climate action", "Earth and Environmental Sciences", "Pesticide risk areas", "Water Pollutants", " Chemical"]}, "links": [{"href": "https://doi.org/10.1016/j.jenvman.2019.04.120"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jenvman.2019.04.120", "name": "item", "description": "10.1016/j.jenvman.2019.04.120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jenvman.2019.04.120"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-01T00:00:00Z"}}, {"id": "10.1029/2023gl103599", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:18:14Z", "type": "Journal Article", "created": "2023-10-06", "title": "Groundwater's Fingerprint in Stream Network Branching Angles", "description": "Abstract<p>Branching river networks are prominent features of the Earth's surface, but the mechanisms that create branching river networks patterns remain elusive. Recent studies have suggested that climate, tectonics, and lithology may control both longitudinal profiles of channel incision and the planform geometry of stream networks. Here we show, by analyzing almost 1 million river junctions and over 4.2 million groundwater wells across the contiguous United States, that stream network branching angles vary systematically with the degree to which streams lose water to, or gain water from, nearby groundwater aquifers. Streams whose surfaces lie above nearby groundwater levels, and thus are likely to be losing flow to underlying aquifers, tend to have narrower branching angles than streams that lie below nearby groundwater levels, and thus are likely to gain flow from groundwater. This systematic relationship persists across several stream orders, and across a wide range in channel gradients.</p", "keywords": ["QC801-809", "13. Climate action", "aridity", "Geophysics. Cosmic physics", "surface water groundwater interactions", "geomorphology", "15. Life on land", "climate", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1029/2023gl103599"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geophysical%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2023gl103599", "name": "item", "description": "10.1029/2023gl103599", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2023gl103599"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-06T00:00:00Z"}}, {"id": "10.1029/2023GL103599", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:18:14Z", "type": "Journal Article", "created": "2023-10-06", "title": "Groundwater's Fingerprint in Stream Network Branching Angles", "description": "Abstract<p>Branching river networks are prominent features of the Earth's surface, but the mechanisms that create branching river networks patterns remain elusive. Recent studies have suggested that climate, tectonics, and lithology may control both longitudinal profiles of channel incision and the planform geometry of stream networks. Here we show, by analyzing almost 1 million river junctions and over 4.2 million groundwater wells across the contiguous United States, that stream network branching angles vary systematically with the degree to which streams lose water to, or gain water from, nearby groundwater aquifers. Streams whose surfaces lie above nearby groundwater levels, and thus are likely to be losing flow to underlying aquifers, tend to have narrower branching angles than streams that lie below nearby groundwater levels, and thus are likely to gain flow from groundwater. This systematic relationship persists across several stream orders, and across a wide range in channel gradients.</p", "keywords": ["aridity", "QC801-809", "Geophysics. Cosmic physics", "surface water groundwater interactions", "geomorphology", "climate", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1029/2023GL103599"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geophysical%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2023GL103599", "name": "item", "description": "10.1029/2023GL103599", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2023GL103599"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-06T00:00:00Z"}}, {"id": "10.2478/logos-2018-0025", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:21:23Z", "type": "Journal Article", "created": "2019-01-28", "title": "A comparison of the efficiency of riverbank filtration treatments in different types of wells", "description": "Abstract                <p>In the paper, a comparison of the efficiency of riverbank treatments is outlined for the Krajkowo well field, where different methods of water abstraction are used. The water is extracted from 29 vertical wells that are located at a distance of 60\uffe2\uff80\uff9380 m from the channel of the River Warta and from a horizontal well with radial drains located 5 m below the bottom of the river. The results of a two-year water-quality investigation indicate that the water quality in both types of abstraction system is influenced by the quality of river water. The water quality observed in the horizontal well is closely similar to that of the river water, with similar concentrations of sulphates, nitrates and micropollutants, but a reduction in bacteriological contamination and plankton is clearly seen. The reduction in contaminants is mainly the result of physical processes, such as mechanical entrapment of suspended material and colloids as well as bacteria and plankton. In the vertical wells, the influence of contamination from river water is also visible, but the reduction in contamination is more significant, especially in cases of bacteria, plankton, micropollutants and nitrates, and is determined by both physical and chemical processes, such as sorption, dissolution, red-ox processes and denitrification. The present research shows that river water treatment is more effective in the case of vertical wells. The most favourable distance of a well from the channel of the river, from the perspective of water quality, is 150\uffe2\uff80\uff93200 m, which corresponds to a residence time of about six months.</p>", "keywords": ["riverbank filtration", "QE1-996.5", "0208 environmental biotechnology", "0207 environmental engineering", "Geology", "horizontal well", "02 engineering and technology", "14. Life underwater", "groundwater and surface water contamination", "6. Clean water", "12. Responsible consumption"], "contacts": [{"organization": "G\u00f3rski, J\u00f3zef, Dragon, Krzysztof, Kru\u0107, Roksana,", "roles": ["creator"]}]}, "links": [{"href": "https://www.sciendo.com/pdf/10.2478/logos-2018-0025"}, {"href": "https://doi.org/10.2478/logos-2018-0025"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geologos", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2478/logos-2018-0025", "name": "item", "description": "10.2478/logos-2018-0025", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2478/logos-2018-0025"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-01T00:00:00Z"}}, {"id": "10.5194/bg-22-601-2025", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:22:41Z", "type": "Journal Article", "created": "2025-01-31", "title": "Contrasting seasonal patterns in particle aggregation and dissolved organic matter transformation in a sub-Arctic fjord", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Particulate (POM) and dissolved (DOM) organic matter in the ocean are important components of the Earth's biogeochemical cycle. The two are in a constant state of dynamic change as a result of physical and biochemical processes; however, they are mostly treated as two distinct entities, separated operationally by a filter. We studied the seasonal transition of DOM and POM pools and their drivers in a sub-Arctic fjord by means of monthly environmental sampling and by performing experiments at selected time points. For the experiments, surface water (5\u2009m) was either pre-filtered through a GF/F filter (0.7\u2009\u00b5m) or left unfiltered, followed by 36\u2009h incubations. Before and after incubation, samples were collected for dissolved and particulate organic carbon concentrations (DOC, POC), extracellular polymeric substances (EPSs), microbial community (flow cytometry), and molecular composition of DOM (high-performance liquid chromatography coupled to high-resolution mass spectrometry \u2013 HPLC-HRMS). During the biologically productive period, when environmental POC concentrations were high (April, June, September), the filtered water showed an increase in POC concentrations. While POC concentrations increased in September, DOM lability decreased based on changes in the average hydrogen saturation and aromaticity of DOM molecules. In contrast, during the winter period (December and February), when environmental POC concentrations were low, lower concentrations of POC were measured at the end of the experiments compared to at the start. The change in POC concentrations was significantly different between the biologically productive period and the winter period (t test; p&lt;0.05). Simultaneously, the DOM pool became more labile during the incubation period, as indicated by changes in the average hydrogen saturation, aromaticity, and oxygen saturation, with implications for carbon cycling. The change in POC was not directly associated with an antagonistic change in DOC concentrations, highlighting the complexity of organic matter transformations, making the dynamics between POC and DOC difficult to quantify. However, in both periods, bacterial activity and EPS concentrations increased throughout the incubations, showing that bacterial degradation and physical DOM aggregation drive the transformations of POM and DOM in concert but at varying degrees under different environmental conditions.                     </p></article>", "keywords": ["particulate organic carbon", "seasonal variation", "QE1-996.5", "Ecology", "saturation", "aggregation", "surface water", "fjord", "Geology", "biogeochemical cycle", "Milj\u00f6vetenskap", "dissolved organic carbon", "microbial activity", "environmental conditions", "Life", "QH501-531", "microbial community", "Environmental Sciences", "QH540-549.5"], "contacts": [{"organization": "Maria G. Digernes, Yasemin V. Bodur, Mart\u00ed Amargant-Arum\u00ed, Oliver M\u00fcller, Jeffrey A. Hawkes, Stephen G. Kohler, Ulrike Dietrich, Marit Reigstad, Maria L. Paulsen,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5194/bg-22-601-2025"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-22-601-2025", "name": "item", "description": "10.5194/bg-22-601-2025", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-22-601-2025"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-31T00:00:00Z"}}, {"id": "10.3390/rs13173355", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:22:00Z", "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/w11010018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:22:05Z", "type": "Journal Article", "created": "2018-12-21", "title": "The AquaNES Project: Coupling Riverbank Filtration and Ultrafiltration in Drinking Water Treatment", "description": "<p>Natural water treatment techniques combined with engineered solutions were investigated at demonstration sites in Europe within the AquaNES project. Ultrafiltration is well-established in water treatment, but is not feasible for many water utilities due to its high operational costs compared to conventional treatment. These differences in cost are caused by membrane fouling and the associated cleaning required. This study aims to assess the economic and energetic operation factors based on studies of an out/in ultrafiltration treatment plant for river water and bank filtrate. The fouling potential of both raw water sources was investigated as well as the quality of the resulting water. In addition, the results show the potential utility of a combined approach utilizing bank filtration followed by ultrafiltration in drinking water treatment. In a separate consideration of the treatment process, the water quality does not fulfill the requirements of the German drinking water ordinance. A new method for the removal of dissolved manganese from the bank filtrate is presented by inline electrolysis. While this improves water quality, this also has a significant influence on fouling potential and, thus, on operating costs of ultrafiltration. These aspects lead to a fundamental decision for operators to choose between more costly ultrafiltration with enhanced microbiological safety compared to cost-effective but less stringent drinking water treatment via open filtration.</p>", "keywords": ["out/in membrane comparison", "13. Climate action", "river bank filtration", "ultrafiltration", "surface water treatment", "01 natural sciences", "energy efficiency", "6. Clean water", "inline electrolysis", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/11/1/18/pdf"}, {"href": "https://doi.org/10.3390/w11010018"}, {"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/w11010018", "name": "item", "description": "10.3390/w11010018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w11010018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-21T00:00:00Z"}}, {"id": "10.3929/ethz-b-000636575", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:22:13Z", "type": "Journal Article", "created": "2023-10-06", "title": "Groundwater's Fingerprint in Stream Network Branching Angles", "description": "Abstract<p>Branching river networks are prominent features of the Earth's surface, but the mechanisms that create branching river networks patterns remain elusive. Recent studies have suggested that climate, tectonics, and lithology may control both longitudinal profiles of channel incision and the planform geometry of stream networks. Here we show, by analyzing almost 1 million river junctions and over 4.2 million groundwater wells across the contiguous United States, that stream network branching angles vary systematically with the degree to which streams lose water to, or gain water from, nearby groundwater aquifers. Streams whose surfaces lie above nearby groundwater levels, and thus are likely to be losing flow to underlying aquifers, tend to have narrower branching angles than streams that lie below nearby groundwater levels, and thus are likely to gain flow from groundwater. This systematic relationship persists across several stream orders, and across a wide range in channel gradients.</p", "keywords": ["QC801-809", "13. Climate action", "aridity", "Geophysics. Cosmic physics", "surface water groundwater interactions", "geomorphology", "15. Life on land", "climate", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.3929/ethz-b-000636575"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geophysical%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3929/ethz-b-000636575", "name": "item", "description": "10.3929/ethz-b-000636575", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3929/ethz-b-000636575"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-06T00:00:00Z"}}, {"id": "10.5281/zenodo.14789120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:23:42Z", "type": "Report", "title": "Deliverable D2.4 - Guidance document on fate, transport and exposure for PMT's in the environment", "description": "Executive Summary  Models are used in exposure assessment for a number of reasons. They can help map the temporal and spatial variability of exposure, exposure pathways and exposure routes, and support risk assessment for water bodies where monitoring is lacking. They can be used to identify sources and pathways responsible for current exposures and to assess the impact of potential future developments of persistent, mobile, and toxic chemicals (PMT) exposures in surface water and groundwater. Such scenario assessment may include changes in PMT use, effects of pollution control measures, accidental spills or climate change.  The scope of this document, produced as part of the H2020 PROMISCES project, is to provide guidance for applications of models with a specific focus on model trains for the assessment of exposure to PMTs as part of the predictive risk assessment related to surface and groundwater. This document explains the basic concepts of specific models and how best to use them in modeltrains in the framework of a tiered approach. The intention is to inform users and interested stakeholders about what needs to be considered when using different methods, what is the best use of specific models, what are the best combinations in model trains and what are their current limitations.  The guidance document presents (i) \u201cscreening level\u201d models for the assessment of regional exposure of groundwater from soil pollution and for the assessment of general exposure of air, soil and water at local, regional or global scales, (ii) spatial and temporal explicit approaches for the identification of pollution plumes in the soil-groundwater continuum and (iii) model train applications for the catchment \u2013 river \u2013 river bank filtration \u2013 drinking water continuum.  Exposure of surface water and groundwater to PMT depends on the use patterns and the environmental fate of the chemicals. Emission, fate and transport models incorporate driving factors into documented algorithms. The extent to which a substance persists in surface water can, for instance, be calculated with the \u201cSimpleBox - Aquatic Persistence Dashboard\u201d, based on its physical-chemical characteristics. The presented approach for deriving generic risk limits for soils shows that, depending on regional variations in geo(hydro)logical conditions, the high mobility of some PFAS could lead to strict requirements for materials applied on soil.  For the soil-groundwater continuum, a novel model train is presented which accounts for the main physical and chemical processes controlling the fate and transport of PFAS. For sorption and degradation reactions, several formalisms can be used, allowing one to select the most appropriate according to the PFAS molecular properties and the characteristics of the simulateddomain. The results issued from these modelling applications indicate the key role of correctly identifying the main physical, chemical and biological processes controlling fate and transport of PFAS in the studied domain to build a robust conceptual model. To increase the robustness of the model, a thorough model calibration must be performed, preferably using time seriesmeasurements of the PFAS concentration in the pore solution at different locations of the contaminated site.  The results confirm the key role of the unsaturated zone in the transfer and long-term migration of PFAS. Nonlinearity and nonideality of sorption reactions were expected for a broad range of PFAS, suggesting using more complex numerical formalism than linear isotherms. Considering the key role of capillary fringe displacement on PFAS transport in the unsaturated zone, themodel train seems to be very efficient in performing PFAS simulations, as it can explicitly describe water flow and solute transport at the interface between the unsaturated and saturated zones, avoiding the main pitfall encountered in other numerical approaches.  The combination of stand-alone models in model trains expands the scope that can be covered in the context of a catchment \u2013 river \u2013 riverbank filtration \u2013 drinking water continuum for exposure assessment of surface waters and bank filtered drinking water. Model trains can combine individual models either in a complementary way or in a sequence. A complementary combination may either compare models of different complexity to find out which level of complexity (and associated effort) is needed to answer which questions, or may compare different models with their different strengths and weaknesses in parallel to assess uncertainties and/or use models for scenario evaluation according to their specific capabilities. A sequential combination facilitates a broader application in terms of content and at different spatial resolutions. Clearly defined interfaces are essential for a successful implementation.  Examples of model trains for selected PFAS are presented for the catchment-river interaction in the urban context of the Berlin case and for the whole catchment \u2013 river \u2013 riverbank filtration \u2013 drinking water continuum on the scale of the Upper Danube Basin. The Berlin case demonstrates the application of the sequential model train by combining a city emission model with a city surface water fate and transport model to assess the resulting exposure to PFAS in the city surface waters. The Danube case demonstrates the application of a sequential model train for exposure assessment of bank filtered drinking water by combining large-scale catchment-scale emission models with different types of bank filtration fate and transport models for specific locations in the catchment. In addition, it also demonstrates complementary application by comparing emission models with different strengths and weaknesses for the assessment of multiple scenarios on the catchment scale and different levels of complexity for the fate and transport modelling of bank filtration. The model train has been successfully applied for 10 different PFAS-substances including the assessment of a large range of scenarios.  Current limitations for exposure assessment of PFAS at river basin scale require improvement in scientific understanding as well as additional efforts in administrative data collection and inventory development. Current results of the exposure assessment show the very high relevance of legacy pollution from use of fire-fighting foams or from old municipal landfills. On the administrative level, there is a strong need for improved identification and harmonized inventorying of contaminated sites at national and international (EU) level. The lack of robust, openly available information on production, import-export and therefore use volumes of PFAS at national and EU level is strongly hampering exposure assessment. A major effort is urgently needed to provide this information, as it is decisive for a sound environmental exposure assessment, not only for surface water and groundwater.  In regard to scientific advances, there is a need for more and better understanding of the extent of local groundwater pollution, particularly due to the application of fire-fighting foams or to the presence of municipal landfills. Further improvement of the scientific knowledge about the fate of PFAS in the environment, including their partitioning between different phases (air,water, solids) and the transformation of the so called \u201cprecursors\u201d into stable \u201cend-products\u201d like PFOA, PFOS and short-chain substances is needed to enlarge the number of PFAS that can be included into the exposure assessment. A reproducible and standardised analytical parameter for \u201ctotal PFAS\u201d or even \u201ctotal toxicity of PFAS\u201d would be needed to address all relevant PFAS in a combined way as it is a focus of Workpackage 1 of the H2020 PROMISCES project (Togola et al. 2024; Behnisch et al. 2024).", "keywords": ["Groundwater/chemistry", "Groundwater pollution", "emission modelling", "Surface water management", "Groundwater quality", "Per- and polyfluorinated substances (PFAS)", "environmental transport modelling", "Surface water", "environmental fate modelling", "Groundwater endangering"], "contacts": [{"organization": "Zessner, Matthias, Baldwin, Dwight, del Val Alonso, Laura, Derx, Julia, Devau, Nicolas, Janssen, Gijs, Jou Claus, S\u00f2nia, Kittlaus, Steffen, Knoche, Franziska, Liu, Meiqi, Markus, Arjen, Valstar, Johan, Meesters, Joris, Meijers, Erwin, Obeid, Ali A.A., Oudega, Thomas James, Pathak, Devanshi, Sprenger, Christoph, van Gils, Jos, Wicke, Daniel, Wintersen, Arjen, Zhiteneva, Veronika, Groot, Hans,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14789120"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14789120", "name": "item", "description": "10.5281/zenodo.14789120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14789120"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-28T00:00:00Z"}}, {"id": "11250/3212345", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:26:11Z", "type": "Journal Article", "created": "2025-01-31", "title": "Contrasting seasonal patterns in particle aggregation and dissolved organic matter transformation in a sub-Arctic fjord", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Particulate (POM) and dissolved (DOM) organic matter in the ocean are important components of the Earth's biogeochemical cycle. The two are in a constant state of dynamic change as a result of physical and biochemical processes; however, they are mostly treated as two distinct entities, separated operationally by a filter. We studied the seasonal transition of DOM and POM pools and their drivers in a sub-Arctic fjord by means of monthly environmental sampling and by performing experiments at selected time points. For the experiments, surface water (5\u2009m) was either pre-filtered through a GF/F filter (0.7\u2009\u00b5m) or left unfiltered, followed by 36\u2009h incubations. Before and after incubation, samples were collected for dissolved and particulate organic carbon concentrations (DOC, POC), extracellular polymeric substances (EPSs), microbial community (flow cytometry), and molecular composition of DOM (high-performance liquid chromatography coupled to high-resolution mass spectrometry \u2013 HPLC-HRMS). During the biologically productive period, when environmental POC concentrations were high (April, June, September), the filtered water showed an increase in POC concentrations. While POC concentrations increased in September, DOM lability decreased based on changes in the average hydrogen saturation and aromaticity of DOM molecules. In contrast, during the winter period (December and February), when environmental POC concentrations were low, lower concentrations of POC were measured at the end of the experiments compared to at the start. The change in POC concentrations was significantly different between the biologically productive period and the winter period (t test; p&lt;0.05). Simultaneously, the DOM pool became more labile during the incubation period, as indicated by changes in the average hydrogen saturation, aromaticity, and oxygen saturation, with implications for carbon cycling. The change in POC was not directly associated with an antagonistic change in DOC concentrations, highlighting the complexity of organic matter transformations, making the dynamics between POC and DOC difficult to quantify. However, in both periods, bacterial activity and EPS concentrations increased throughout the incubations, showing that bacterial degradation and physical DOM aggregation drive the transformations of POM and DOM in concert but at varying degrees under different environmental conditions.</p></article>", "keywords": ["particulate organic carbon", "seasonal variation", "QE1-996.5", "Ecology", "saturation", "aggregation", "surface water", "fjord", "Geology", "biogeochemical cycle", "Milj\u00f6vetenskap", "dissolved organic carbon", "microbial activity", "environmental conditions", "Life", "QH501-531", "microbial community", "Environmental Sciences", "QH540-549.5"]}, "links": [{"href": "https://doi.org/11250/3212345"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11250/3212345", "name": "item", "description": "11250/3212345", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11250/3212345"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-31T00:00:00Z"}}, {"id": "10.5281/zenodo.5509889", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:24:29Z", "type": "Journal Article", "created": "2021-08-24", "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/10.5281/zenodo.5509889"}, {"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": "10.5281/zenodo.5509889", "name": "item", "description": "10.5281/zenodo.5509889", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.5509889"}, {"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": "1854/LU-8619257", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:26:28Z", "type": "Journal Article", "created": "2019-06-13", "title": "A spatial approach to identify priority areas for pesticide pollution mitigation", "description": "Identifying priority areas is an essential step in developing management strategies to reduce pesticide loads in surface water. A spatially explicit model-based approach was developed to detect priority areas for diffuse pesticide pollution at catchment scale. The method uses available datasets and considers different pesticide pathways in the environment post-application. The approach was applied in a catchment area in SE Flanders (Belgium) as a case study. Calculated risk areas were obtained using detailed landscape data and combining pesticide emissions and hydrological connectivity. The risk areas obtained were further compared with an alternative observation-based method, developed specifically for this study site that includes long-term field observations and local expert knowledge. Both methods equally classified 50% of the areas. The impact of crop rotation on the calculated risk was analysed. High-risk areas were identified and added to a cumulative map over all five years to evaluate temporal variations. The model-based approach was used for the initial identification of risk areas at the study site. The tool helps to prioritise zones and detect particular fields to target landscape mitigation measures to reduce diffuse pesticide pollution reaching surface water bodies.", "keywords": ["Technology and Engineering", "GIS modelling", "FATE", "0207 environmental engineering", "GLYPHOSATE", "02 engineering and technology", "Diffuse pesticide pollution", "01 natural sciences", "12. Responsible consumption", "CATCHMENT", "Belgium", "RUNOFF", "SURFACE WATERS", "Pesticides", "Biology", "0105 earth and related environmental sciences", "RISK", "Catchment scale", "Water Pollution", "Surface water", "Agriculture", "HERBICIDE LOSSES", "15. Life on land", "Field observations", "BUFFER ZONES", "TRANSPORT", "6. Clean water", "NO-TILL", "Chemistry", "13. Climate action", "Earth and Environmental Sciences", "Pesticide risk areas", "Water Pollutants", " Chemical"]}, "links": [{"href": "https://doi.org/1854/LU-8619257"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8619257", "name": "item", "description": "1854/LU-8619257", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8619257"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-01T00:00:00Z"}}, {"id": "20.500.11850/636575", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:26:45Z", "type": "Journal Article", "created": "2023-10-06", "title": "Groundwater's Fingerprint in Stream Network Branching Angles", "description": "Abstract<p>Branching river networks are prominent features of the Earth's surface, but the mechanisms that create branching river networks patterns remain elusive. Recent studies have suggested that climate, tectonics, and lithology may control both longitudinal profiles of channel incision and the planform geometry of stream networks. Here we show, by analyzing almost 1 million river junctions and over 4.2 million groundwater wells across the contiguous United States, that stream network branching angles vary systematically with the degree to which streams lose water to, or gain water from, nearby groundwater aquifers. Streams whose surfaces lie above nearby groundwater levels, and thus are likely to be losing flow to underlying aquifers, tend to have narrower branching angles than streams that lie below nearby groundwater levels, and thus are likely to gain flow from groundwater. This systematic relationship persists across several stream orders, and across a wide range in channel gradients.</p", "keywords": ["geomorphology; surface water groundwater interactions; climate; aridity", "QC801-809", "13. Climate action", "aridity", "Geophysics. Cosmic physics", "surface water groundwater interactions", "geomorphology", "15. Life on land", "climate", "6. Clean water"]}, "links": [{"href": "https://doi.org/20.500.11850/636575"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geophysical%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11850/636575", "name": "item", "description": "20.500.11850/636575", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/636575"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-06T00:00:00Z"}}, {"id": "3194497111", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:27:43Z", "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/3194497111"}, {"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": "3194497111", "name": "item", "description": "3194497111", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3194497111"}, {"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": "4941261d-98ba-4c70-ad52-708e6cae460c", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[10.69, 53.86], [10.69, 53.86], [10.7, 53.86], [10.7, 53.86], [10.69, 53.86]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Other's research activities.\" Although every care has been taken in preparing and testing the data, the Other and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Other and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The Other and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-08-02", "type": "Service", "created": "2023-07-26", "language": "eng", "title": "Web Map Service of the dataset 'Chlorophyll-Data of eutrophied urban ponds in L\u00fcbeck (Germany, Schleswig-Holstein)'", "description": "This WMS  Map Service includes spatial information used by datasets 'AGIS Map Service of the dataset 'Chlorophyll-Data of eutrophied urban ponds in L\u00fcbeck (Germany, Schleswig-Holstein)''", "formats": [{"name": "CSV"}], "keywords": ["infoMapAccessService", "Soil", "chlorophylls", "chlorophyll fluorescence", "surface water", "urban environment", "eutrophication", "Algae", "Cyanobacteria"], "contacts": [{"name": "Christian Lohaus", "organization": "Technische Hochschule L\u00fcbeck", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "christian.lohaus@th-luebeck.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0002-6950-3952", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Norbert Reintjes", "organization": "Technische Hochschule L\u00fcbeck", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "norbert.reintjes@th-luebeck.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - 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Si rimanda al link http://www.arpa.vda.it/images/files/catasto_dei_laghi_valdostani.pdf per approfondimenti.", "formats": [{"name": "geo+json"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["Geologia", "Idrografia", "Suolo", "Regionale", "Laghi", "Directive 2000/60/EC", "Water bodies (Water Framework Directive)", "Surface water bodies (Water Framework Directive)Lakes (Water Framework Directive)", "EU"], "contacts": [{"name": null, "organization": "Agenzia Regionale per la Protezione dell'Ambiente della Valle D'Aosta", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "arpa@arpa.vda.it"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://www.arpa.vda.it", "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}], "denominator": "2000", "distancevalue": "1", "distanceuom": "http://standards.iso.org/ittf/PubliclyAvailableStandards/ISO_19139_Schemas/resources/uom/ML_gmxUom.xml#m"}, "links": [{"href": "https://mappe.regione.vda.it/pub/GeoNavSCT/index.html?metadato=MTD210N0001", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://metadati.partout.it/metadata_images/Laghi.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/arpa_09%3A03151-META%3A20170302%3A081500", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "arpa_09:03151-META:20170302:081500", "name": "item", "description": "arpa_09:03151-META:20170302:081500", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/arpa_09:03151-META:20170302:081500"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1999-07-28T00:00:00Z", "2030-12-31T00:00:00Z"]}}, {"id": "85a5772c-d86c-4d39-bb0a-6140a8486a1b", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-35.0, 27.0], [-35.0, 83.0], [46.8, 83.0], [46.8, 27.0], [-35.0, 27.0]]]}, "properties": {"themes": [{"concepts": [{"id": "utilitiesCommunication"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Sea regions"}, {"id": "Hydrography"}, {"id": "Transport networks"}, {"id": "Population distribution \u2014 demography"}, {"id": "Administrative units"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "water body"}, {"id": "drainage"}, {"id": "harbour"}, {"id": "estuary"}, {"id": "in situ"}, {"id": "administrative boundary"}, {"id": "transportation"}, {"id": "railway network"}, {"id": "waterfall"}, {"id": "route planning"}, {"id": "maritime transport"}, {"id": "railway"}, {"id": "dam"}, {"id": "car park"}, {"id": "lake"}, {"id": "glacier"}, {"id": "human settlement"}, {"id": "road"}, {"id": "airport"}, {"id": "highway"}, {"id": "geo-referenced data"}, {"id": "national boundary"}, {"id": "railway station"}, {"id": "water (geographic)"}, {"id": "river"}, {"id": "built-up area"}, {"id": "built environment"}, {"id": "inland water"}, {"id": "international watercourse"}, {"id": "artificial lake"}, {"id": "vegetation"}, {"id": "coast"}, {"id": "high-speed railway"}, {"id": "geography"}, {"id": "tidal water"}, {"id": "waterway"}, {"id": "surface water"}], "scheme": "GEMET"}, {"concepts": [{"id": "Montenegro"}, {"id": "Monaco"}, {"id": "Bosnia and Herzegovina"}, {"id": "North Macedonia"}, {"id": "Andorra"}, {"id": "Serbia"}, {"id": "Kosovo (UNSCR 1244/99)"}, {"id": "Georgia"}, {"id": "Moldova"}, {"id": "EU27 (2007-2013)"}, {"id": "EFTA4"}], "scheme": "Continents, countries, sea regions of the world."}, {"concepts": [{"id": "European"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}], "rights": "Please refer to the documents GISCO-LicenseconditionsforEuroGeographicsAdministrativeandTopographicspatialdatasets-080716-1335-618.pdf  and Data_Request_Form_EuroGeographics.doc under ERM9/Licence.", "updated": "2021-09-21T07:30:30.026Z", "type": "Dataset", "created": "2006-12-31", "language": "eng", "title": "EuroRegionalMap (full European coverage) - version 9.0, Jan. 2016", "description": "EuroRegionalMap v9.0 is a pan-European dataset containing topographic information at the scale 1:250 000 covering: 27 EU member states (excluding Croatia), 4 EFTA states (Liechtenstein, Norway, Iceland, Switzerland), Republic of Moldova, Serbia, Kosovo and Georgia. It is a seamless and harmonised data and is produced in cooperation by the National Mapping and Cadastral Agencies of Europe, using official national databases.\n\nThematic layers: \nAdministrative Boundaries,\nHydrography,\nSettlements,\nTransport,\nPoints of Interests,\nNamed Location,\nMiscellaneous,\nVegetation and \nSoil.", "formats": [{"name": "GDB"}, {"name": "WWW:URL"}], "keywords": ["Soil", "Sea regions", "Hydrography", "Transport networks", "Population distribution \u2014 demography", "Administrative units", "water body", "drainage", "harbour", "estuary", "in situ", "administrative boundary", "transportation", "railway network", "waterfall", "route planning", "maritime transport", "railway", "dam", "car park", "lake", "glacier", "human settlement", "road", "airport", "highway", "geo-referenced data", "national boundary", "railway station", "water (geographic)", "river", "built-up area", "built environment", "inland water", "international watercourse", "artificial lake", "vegetation", "coast", "high-speed railway", "geography", "tidal water", "waterway", "surface water", "Montenegro", "Monaco", "Bosnia and Herzegovina", "North Macedonia", "Andorra", "Serbia", "Kosovo (UNSCR 1244/99)", "Georgia", "Moldova", "EU27 (2007-2013)", "EFTA4", "European"], "denominator": "250000", "edition": "90"}, "links": [{"href": "https://sdi.eea.europa.eu/data/85a5772c-d86c-4d39-bb0a-6140a8486a1b", "name": "Direct download (Eionet authentication)", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/85a5772c-d86c-4d39-bb0a-6140a8486a1b.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "85a5772c-d86c-4d39-bb0a-6140a8486a1b", "name": "item", "description": "85a5772c-d86c-4d39-bb0a-6140a8486a1b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/85a5772c-d86c-4d39-bb0a-6140a8486a1b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2015-05-01T00:00:00Z", "2015-12-31T00:00:00Z"]}}, {"id": "313c0c3a-c177-4198-a7de-09b7f6ac3a9d", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-35.0, 27.0], [-35.0, 84.0], [47.0, 84.0], [47.0, 27.0], [-35.0, 27.0]]]}, "properties": {"themes": [{"concepts": [{"id": "transportation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Geographical names"}, {"id": "Utility and governmental services"}, {"id": "Transport networks"}, {"id": "Hydrography"}, {"id": "Soil"}, {"id": "Administrative units"}, {"id": "Land cover"}, {"id": "Sea regions"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "river"}, {"id": "vegetation"}, {"id": "administrative boundary"}, {"id": "car park"}, {"id": "lake"}, {"id": "railway station"}, {"id": "water body"}, {"id": "hydrography"}, {"id": "maritime transport"}, {"id": "airport"}, {"id": "artificial lake"}, {"id": "transportation"}, {"id": "in situ"}, {"id": "geo-referenced data"}, {"id": "human settlement"}, {"id": "international watercourse"}, {"id": "national boundary"}, {"id": "dam"}, {"id": "railway network"}, {"id": "water (geographic)"}, {"id": "surface water"}, {"id": "coast"}, {"id": "harbour"}, {"id": "waterway"}, {"id": "route planning"}, {"id": "high-speed railway"}, {"id": "waterfall"}, {"id": "drainage"}, {"id": "road"}, {"id": "tidal water"}, {"id": "glacier"}, {"id": "data base"}, {"id": "railway"}, {"id": "built-up area"}, {"id": "estuary"}, {"id": "highway"}, {"id": "soil"}, {"id": "geography"}], "scheme": "GEMET"}, {"concepts": [{"id": "Serbia"}, {"id": "Isle of Man"}, {"id": "Kosovo (UNSCR 1244/99)"}, {"id": "EFTA4"}, {"id": "Georgia"}, {"id": "Monaco"}, {"id": "North Macedonia"}, {"id": "Vatican"}, {"id": "San Marino"}, {"id": "Faeroe Islands"}, {"id": "Moldova"}, {"id": "EU27 (2007-2013)"}, {"id": "Andorra"}], "scheme": "Continents, countries, sea regions of the world."}, {"concepts": [{"id": "European"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}], "rights": "License for further details, refer to Licence/GISCO-LicenseconditionsforEuroGeographicsAdministrativeandTopographicspatialdatasets-080716-1335-618.pdf For dissemination to contractors, the form to be filled in and returned to Eurostat is available under Licence/Data_Request_Form_EuroGeographics.doc", "updated": "2025-10-09T10:43:59.686809Z", "type": "Dataset", "created": "2017-01-20", "language": "eng", "title": "EuroRegionalMap (full European coverage) - version 10.0, Jan. 2017", "description": "EuroRegionalMap is a Pan-European topographic vector dataset at scale 1: 250000, that is seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries using official national databases. \n\nThematic layers: \nAdministrative Boundaries\nHydrography\nMiscellaneous\nNamed Location\nSettlement\nTransportation\nVegetation and Soil\nPoints of Interests", "formats": [{"name": "GDB"}, {"name": "WWW:URL"}], "keywords": ["Geographical names", "Utility and governmental services", "Transport networks", "Hydrography", "Soil", "Administrative units", "Land cover", "Sea regions", "river", "vegetation", "administrative boundary", "car park", "lake", "railway station", "water body", "hydrography", "maritime transport", "airport", "artificial lake", "transportation", "in situ", "geo-referenced data", "human settlement", "international watercourse", "national boundary", "dam", "railway network", "water (geographic)", "surface water", "coast", "harbour", "waterway", "route planning", "high-speed railway", "waterfall", "drainage", "road", "tidal water", "glacier", "data base", "railway", "built-up area", "estuary", "highway", "soil", "geography", "Serbia", "Isle of Man", "Kosovo (UNSCR 1244/99)", "EFTA4", "Georgia", "Monaco", "North Macedonia", "Vatican", "San Marino", "Faeroe Islands", "Moldova", "EU27 (2007-2013)", "Andorra", "European"], "denominator": "250000", "edition": "10"}, "links": [{"href": "https://sdi.eea.europa.eu/data/313c0c3a-c177-4198-a7de-09b7f6ac3a9d", "name": "Direct download (Eionet authentication)", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/313c0c3a-c177-4198-a7de-09b7f6ac3a9d.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "313c0c3a-c177-4198-a7de-09b7f6ac3a9d", "name": "item", "description": "313c0c3a-c177-4198-a7de-09b7f6ac3a9d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/313c0c3a-c177-4198-a7de-09b7f6ac3a9d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-01-01T00:00:00Z", "2016-12-31T00:00:00Z"]}}, {"id": "ee1b7182-79a7-4974-a9c2-ebca2352a132", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-35.0, 27.0], [-35.0, 84.0], [47.0, 84.0], [47.0, 27.0], [-35.0, 27.0]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Energy resources"}, {"id": "Land use"}, {"id": "Mineral resources"}, {"id": "Production and industrial facilities"}, {"id": "Administrative units"}, {"id": "Geographical names"}, {"id": "Hydrography"}, {"id": "Land cover"}, {"id": "Population distribution \u2014 demography"}, {"id": "Soil"}, {"id": "Protected sites"}, {"id": "Transport networks"}, {"id": "Utility and governmental services"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Monaco"}, {"id": "Serbia"}, {"id": "Moldova"}, {"id": "North Macedonia"}, {"id": "Faeroe Islands"}, {"id": "Kosovo (UNSCR 1244/99)"}, {"id": "Georgia"}, {"id": "Andorra"}, {"id": "EFTA4"}, {"id": "San Marino"}, {"id": "Isle of Man"}, {"id": "Liechtenstein"}, {"id": "Vatican"}, {"id": "EU28 (2013-2020)"}], "scheme": "Continents, countries, sea regions of the world."}, {"concepts": [{"id": "road"}, {"id": "route planning"}, {"id": "drainage"}, {"id": "highway"}, {"id": "in situ"}, {"id": "waterway"}, {"id": "artificial lake"}, {"id": "built-up area"}, {"id": "waterfall"}, {"id": "geography"}, {"id": "airport"}, {"id": "estuary"}, {"id": "dam"}, {"id": "coast"}, {"id": "soil"}, {"id": "glacier"}, {"id": "national boundary"}, {"id": "hydrography"}, {"id": "transportation"}, {"id": "maritime transport"}, {"id": "data base"}, {"id": "car park"}, {"id": "geo-referenced data"}, {"id": "surface water"}, {"id": "tidal water"}, {"id": "high-speed railway"}, {"id": "lake"}, {"id": "railway"}, {"id": "international watercourse"}, {"id": "water (geographic)"}, {"id": "river"}, {"id": "harbour"}, {"id": "human settlement"}, {"id": "railway network"}, {"id": "vegetation"}, {"id": "administrative boundary"}], "scheme": "GEMET"}, {"concepts": [{"id": "European"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}], "rights": "The Commission will store the geographic data set on a central server that is accessible by Commission staff. Eurostat will distribute parts or the entire data within the Commission, to the EU Executive Agencies and to subcontractors. The Commission is authorised to use the geographic data as follows: (1) As geographic reference, i.e. creating a geographical context for other data. (2) For the production of maps, publications, posters, presentations and statistical analysis. (3) For deriving new geographic datasets by applying data manipulation procedures, e.g. combining different geographic datasets, generalisation procedures including smoothing and dropping of spatial features, adding new attribute information. Examples of derived geographic data are the NUTS map or the Trans European Transport Network. (4) For distributing the geographic data within the Commission as well as to the public in the form of publications, posters, presentations, derived analysed statistical data and derived geographic datasets. (5) For inclusion of the geographic data as map services in other applications provided that it will not possible to extract the original geographic data. For spatial analysis and for mapping of results of these analysis.\nThe license conditions are spelled out in the \"LicenseConditions.pdf\" document provided together with the dataset.", "updated": "2025-10-09T11:21:42.131116Z", "type": "Dataset", "created": "2018-05-01", "language": "eng", "title": "EuroRegionalMap (full European coverage) - version 11.1, Dec. 2017", "description": "EuroRegionalMap (ERM) is a Pan-European topographic vector dataset at scale 1:250000, that is seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries (NMCAs) using official national databases. \nThematic layers: Administrative Boundaries (BND), Hydrography (HYDRO), Miscellaneous (MISC), Named Location (NAME), Settlement (POP), Transportation (TRANS), Vegetation and Soils (VEG) as well as Points of Interest.\nThis metadata refers to the version 11.1 of ERM. \nFor more information about the data product specifications and changes with respect to the previous version of this dataset (ERM v11 and ERMv10), please refer to the documents \"ERM_v11-1_DataSpecification_EuroStat.pdf\", \"ERM_v11_TechnicalGuide.pdf\" and \"ERM(EC)_v11.1_Lineage_FullEurope.doc\" provided with the dataset. Main changes with respect to these previous versions are that the NMCAs updated BND, HYDRO, MISC and NAME thematic layers, and that the Directorate-General for Mobility and Transport (DG MOVE) of the European Commission identified the Trans-European Transport Network for roads, railways, airports, ports and the watercourse system.\nThis metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the original metadata file created by EuroGeographics is provided together with the dataset under the \"metadata\" folder.", "formats": [{"name": "SHP"}, {"name": "WWW:URL"}], "keywords": ["Energy resources", "Land use", "Mineral resources", "Production and industrial facilities", "Administrative units", "Geographical names", "Hydrography", "Land cover", "Population distribution \u2014 demography", "Soil", "Protected sites", "Transport networks", "Utility and governmental services", "Monaco", "Serbia", "Moldova", "North Macedonia", "Faeroe Islands", "Kosovo (UNSCR 1244/99)", "Georgia", "Andorra", "EFTA4", "San Marino", "Isle of Man", "Liechtenstein", "Vatican", "EU28 (2013-2020)", "road", "route planning", "drainage", "highway", "in situ", "waterway", "artificial lake", "built-up area", "waterfall", "geography", "airport", "estuary", "dam", "coast", "soil", "glacier", "national boundary", "hydrography", "transportation", "maritime transport", "data base", "car park", "geo-referenced data", "surface water", "tidal water", "high-speed railway", "lake", "railway", "international watercourse", "water (geographic)", "river", "harbour", "human settlement", "railway network", "vegetation", "administrative boundary", "European"], "denominator": "250000", "edition": "11.1"}, "links": [{"href": "https://sdi.eea.europa.eu/data/ee1b7182-79a7-4974-a9c2-ebca2352a132", "name": "Direct download (Eionet authentication)", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ee1b7182-79a7-4974-a9c2-ebca2352a132.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "ee1b7182-79a7-4974-a9c2-ebca2352a132", "name": "item", "description": "ee1b7182-79a7-4974-a9c2-ebca2352a132", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ee1b7182-79a7-4974-a9c2-ebca2352a132"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2017-01-01T00:00:00Z", "2017-12-31T00:00:00Z"]}}, {"id": "ec36e79b-615a-4484-a3a5-2714dc3951c5", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-35.0, 27.0], [-35.0, 84.0], [47.0, 84.0], [47.0, 27.0], [-35.0, 27.0]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Mineral resources"}, {"id": "Hydrography"}, {"id": "Energy resources"}, {"id": "Administrative units"}, {"id": "Production and industrial facilities"}, {"id": "Protected sites"}, {"id": "Land use"}, {"id": "Soil"}, {"id": "Transport networks"}, {"id": "Population distribution \u2014 demography"}, {"id": "Utility and governmental services"}, {"id": "Land cover"}, {"id": "Geographical names"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "EU28 (2013-2020)"}, {"id": "Faeroe Islands"}, {"id": "Andorra"}, {"id": "Monaco"}, {"id": "Georgia"}, {"id": "Isle of Man"}, {"id": "Kosovo (UNSCR 1244/99)"}, {"id": "North Macedonia"}, {"id": "Moldova"}, {"id": "San Marino"}, {"id": "Vatican"}, {"id": "Ukraine"}, {"id": "EFTA4"}, {"id": "Liechtenstein"}, {"id": "Serbia"}], "scheme": "Continents, countries, sea regions of the world."}, {"concepts": [{"id": "built-up area"}, {"id": "harbour"}, {"id": "estuary"}, {"id": "surface water"}, {"id": "soil"}, {"id": "data base"}, {"id": "road"}, {"id": "high-speed railway"}, {"id": "geo-referenced data"}, {"id": "airport"}, {"id": "dam"}, {"id": "drainage"}, {"id": "tidal water"}, {"id": "international watercourse"}, {"id": "river"}, {"id": "car park"}, {"id": "waterway"}, {"id": "lake"}, {"id": "coast"}, {"id": "national boundary"}, {"id": "geography"}, {"id": "in situ"}, {"id": "railway"}, {"id": "vegetation"}, {"id": "railway network"}, {"id": "glacier"}, {"id": "highway"}, {"id": "artificial lake"}, {"id": "water (geographic)"}, {"id": "administrative boundary"}, {"id": "route planning"}, {"id": "human settlement"}, {"id": "hydrography"}, {"id": "transportation"}, {"id": "waterfall"}, {"id": "maritime transport"}], "scheme": "GEMET"}, {"concepts": [{"id": "European"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "Land use"}, {"id": "Transport and mobility"}, {"id": "Buildings and construction"}, {"id": "Soil"}, {"id": "Water"}], "scheme": "EEA topics"}], "rights": "The Commission will store the geographic data set on a central server that is accessible by Commission staff. Eurostat will distribute parts or the entire data within the Commission, to the EU Executive Agencies and to subcontractors. The Commission is authorised to use the geographic data as follows: (1) As geographic reference, i.e. creating a geographical context for other data. (2) For the production of maps, publications, posters, presentations and statistical analysis. (3) For deriving new geographic datasets by applying data manipulation procedures, e.g. combining different geographic datasets, generalisation procedures including smoothing and dropping of spatial features, adding new attribute information. Examples of derived geographic data are the NUTS map or the Trans European Transport Network. (4) For distributing the geographic data within the Commission as well as to the public in the form of publications, posters, presentations, derived analysed statistical data and derived geographic datasets. (5) For inclusion of the geographic data as map services in other applications provided that it will not possible to extract the original geographic data. (6) For spatial analysis and for mapping of results of these analysis.\nThe license conditions are spelled out in the \"LicenseConditions.pdf\" document provided together with the dataset.", "updated": "2025-10-09T11:21:19.681465Z", "type": "Dataset", "created": "2019-01-20", "language": "eng", "title": "EuroRegionalMap 2019 (ERM 2019), Jan. 2019", "description": "EuroRegionalMap (ERM) is a Pan-European topographic vector dataset at scale 1:250000, that is, seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries (NMCAs) using official national databases. \nThematic layers: Administrative Boundaries (BND), Hydrography (HYDRO), Miscellaneous (MISC), Named Location (NAME), Settlement (POP), Transportation (TRANS), Vegetation and Soils (VEG) as well as Points of Interest.\nThis metadata refers to the version 2019 of ERM, with the general reference for the supply being December 2018. The dataset is provided both in GDB and SHP formats. Main changes with respect to versions ERM v11.0 and v11.1 are:\n- The administrative boundaries have been updated using EBM 2019 as data source. Some countries (Great Britain, Moldova and Romania) have slightly adapted them so to fit with the topographical features of ERM.\n- Update of transportation, settlement, vegetation themes. \n- Data from Ukraine as well as French Guiana (GF), Guadeloupe (GP), Martinique (MQ), Reunion (RE), Mayotte (YT), Saint Barth\u00e9lemy (BL) and Saint Martin (MF) as overseas departments/collectivities of France belonging to the European Union are included in ERM 2019.\nFor more information about the data product specifications please refer to the documents \"ERM_2019_DataSpecification_EuroStat.pdf\", \"ERM_2019_TechnicalGuide.pdf\" and \"ERM_Eurostat_Lineage_ERM_2019.pdf\" provided with the dataset under the link \"Documents\".\nIMPORTANT NOTE: This dataset is only to be used internally in the EEA, for the purposes and under the conditions stated under the \"Resource Constraints\" elements of this metadata file and on the document \"LicenseConditions.pdf\" provided with this dataset under the link \"Documents\". This metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the original metadata file created by EuroGeographics is provided together with the dataset under \"Documents\" link (\"ERM_Eurostat_Metadata_ERM_2019.xml\" within the \"Metadata\").", "formats": [{"name": "SHP"}, {"name": "WWW:URL"}], "keywords": ["Mineral resources", "Hydrography", "Energy resources", "Administrative units", "Production and industrial facilities", "Protected sites", "Land use", "Soil", "Transport networks", "Population distribution \u2014 demography", "Utility and governmental services", "Land cover", "Geographical names", "EU28 (2013-2020)", "Faeroe Islands", "Andorra", "Monaco", "Georgia", "Isle of Man", "Kosovo (UNSCR 1244/99)", "North Macedonia", "Moldova", "San Marino", "Vatican", "Ukraine", "EFTA4", "Liechtenstein", "Serbia", "built-up area", "harbour", "estuary", "surface water", "soil", "data base", "road", "high-speed railway", "geo-referenced data", "airport", "dam", "drainage", "tidal water", "international watercourse", "river", "car park", "waterway", "lake", "coast", "national boundary", "geography", "in situ", "railway", "vegetation", "railway network", "glacier", "highway", "artificial lake", "water (geographic)", "administrative boundary", "route planning", "human settlement", "hydrography", "transportation", "waterfall", "maritime transport", "European", "Land use", "Transport and mobility", "Buildings and construction", "Soil", "Water"], "denominator": "250000", "edition": "12.0"}, "links": [{"href": "https://sdi.eea.europa.eu/data/ec36e79b-615a-4484-a3a5-2714dc3951c5", "name": "Direct download (Eionet authentication)", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/data/ec36e79b-615a-4484-a3a5-2714dc3951c5", "name": "Direct download (Eionet authentication)", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ec36e79b-615a-4484-a3a5-2714dc3951c5.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "ec36e79b-615a-4484-a3a5-2714dc3951c5", "name": "item", "description": "ec36e79b-615a-4484-a3a5-2714dc3951c5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ec36e79b-615a-4484-a3a5-2714dc3951c5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2018-12-01T00:00:00Z", "2018-12-31T00:00:00Z"]}}, {"id": "7626e390-fdb9-47b0-8dad-3dc34843de30", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[10.69, 53.86], [10.69, 53.86], [10.7, 53.86], [10.7, 53.86], [10.69, 53.86]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "chlorophylls"}, {"id": "chlorophyll fluorescence"}, {"id": "surface water"}, {"id": "urban environment"}, {"id": "eutrophication"}, {"id": "Algae"}, {"id": "Cyanobacteria"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Other's research activities.\" Although every care has been taken in preparing and testing the data, the Other and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Other and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The Other and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-08-03", "type": "Dataset", "created": "2023-07-26", "language": "eng", "title": "Chlorophyll-Data of eutrophied urban ponds in L\u00fcbeck (Germany, Schleswig-Holstein)", "description": "The dataset contains weekly total chlorophyll data as well as cyano-chlorophyll data gathered in 2022 in eutrophic urban ponds (Kr\u00e4henteich, M\u00fchlenteich). The ponds are fed by the river Wakenitz in L\u00fcbeck (Schleswig-Holstein - Germany). The measuring period spans the timeframe needed for chlorophyll-based assessment of trophic statet according to LAWA (May to October). As measuring-device a fluorometer (bbe AlgaeTorch 10) was used.\n\nResearch domain: Other\n\nResearch question: None", "formats": [{"name": "CSV"}], "keywords": ["Soil", "chlorophylls", "chlorophyll fluorescence", "surface water", "urban environment", "eutrophication", "Algae", "Cyanobacteria", "opendata", "Boden"], "contacts": [{"name": "Christian Lohaus", "organization": "Technische Hochschule L\u00fcbeck", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "christian.lohaus@th-luebeck.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0002-6950-3952", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Norbert Reintjes", "organization": "Technische Hochschule L\u00fcbeck", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "norbert.reintjes@th-luebeck.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Franz Weinland", "organization": "Technische Hochschule L\u00fcbeck", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "franz.weinland@icloud.com"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-5071-2271", "name_url": "", "description": "ORCID:", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Tillmann Westphal", "organization": "Technische Hochschule L\u00fcbeck", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "tillmann.westphal@th-luebeck.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Fabian M\u00f6ller", "organization": "Technische Hochschule L\u00fcbeck", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "f.moeller@stud.th-luebeck.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Norbert Reintjes", "organization": "Technische Hochschule L\u00fcbeck", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "norbert.reintjes@th-luebeck.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Technische Hochschule L\u00fcbeck", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=7626e390-fdb9-47b0-8dad-3dc34843de30", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "7626e390-fdb9-47b0-8dad-3dc34843de30", "name": "item", "description": "7626e390-fdb9-47b0-8dad-3dc34843de30", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/7626e390-fdb9-47b0-8dad-3dc34843de30"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-03T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Surface+water&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=Surface+water&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Surface+water&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Surface+water&offset=25", "hreflang": "en-US"}], "numberMatched": 25, "numberReturned": 25, "distributedFeatures": [], "timeStamp": "2026-07-28T14:07:56.354975Z"}