{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.14833053", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:22:24Z", "type": "Dataset", "created": "2025-02-06", "title": "Surface soil moisture for Europe 2014-2024 at 1 km annual and quarterly aggregates", "description": "Copernicus Land Monitoring Services provides Surface Soil Moisture 2014-present (raster 1 km), Europe, daily \u2013 version 1. Each day covers only 5 to 10% of European land mask and shows lines of scenes (obvious artifacts). This is the long-term aggregates of daily images of soil moisture (0\u2013100%) based on two types of aggregation: Long-term quarterly (qr.1 - winter, qr.2 - spring, qr.3 - summer and qr.4 - autumn), Annual quantiles P.05, P.50 and P.95, The soil moisture rasters are based on Sentinel 1 and described in detail in:\u00a0 Bauer-Marschallinger, B. ; Freeman, V. ; Cao, S. ; Paulik, C. ; Schaufler, S. ; Stachl, T. ; Modanesi, S. ; Massari, C. ; Ciabatta, L. ; Brocca, L. ; Wagner, W.\u00a0Toward Global Soil Moisture Monitoring With Sentinel-1: Harnessing Assets and Overcoming Obstacles.\u00a0IEEE Transactions on Geoscience and Remote Sensing\u00a02019, 1 - 20. DOI\u00a010.1109/TGRS.2018.2858004 You can access and download the original data as .nc files from: https://globalland.vito.be/download/manifest/ssm_1km_v1_daily_netcdf/. The files with pattern 'soil.moisture_s1.clms.qr.*.p0.*.gf_m_1km_20140101_20241231_eu_epsg4326_v20250211.tif' are the gap-filled soil moisture quarterly estimates. For gap filling I build a model using cca 250k random training points and relationship with CHELSA climate bioclimatic variables, ESA CCI snow cover probability, ESA CCI forest and bare areas percent cover and Global Water Pack long-term surface water fraction. The gap-filling model had an R-square of 0.96 and RMSE of 6.5% of soil moisture. Aggregation has been generated using the terra package in R in combination with the matrixStats::rowQuantiles function. Tiling system and land mask for pan-EU is also available. library(terra) library(matrixStats) g1 = terra::vect('/mnt/inca/EU_landmask/tilling_filter/eu_ard2_final_status.gpkg') ## 1254 tiles tile = g1[534] nc.lst = list.files('/mnt/landmark/SM1km/ssm_1km_v1_daily_netcdf/', pattern = glob2rx('*.nc$'), full.names=TRUE) ## 3726 ## test it #r = terra::rast(nc.lst[100:210]) agg_tile = function(r, tile, pv=c(0.05,0.5,0.95), out.year='2015.annual'){ bb = paste(as.vector(ext(tile)), collapse = '.') out.tif = paste0('./eu_tmp/', out.year, '/sm1km_', pv, '_', out.year, '_', bb, '.tif') if(any(!file.exists(out.tif))){ r.t = terra::crop(r, ext(tile)) r.t = as.data.frame(r.t, xy=TRUE, na.rm=FALSE) sel.c = grep(glob2rx('ssm$'), colnames(r.t)) t1s = cbind(data.frame(matrixStats::rowQuantiles(as.matrix(r.t[,sel.c]), probs = pv, na.rm=TRUE)), data.frame(x=r.t$x, y=r.t$y)) ## write to GeoTIFFs r.o = terra::rast(t1s[,c('x','y','X5.','X50.','X95.')], type='xyz', crs='+proj=longlat +datum=WGS84 +no_defs') for(k in 1:length(pv)){ terra::writeRaster(r.o[[k]], filename=out.tif[k], gdal=c('COMPRESS=DEFLATE'), datatype='INT2U', NAflag=32768, overwrite=FALSE) } rm(r.t); gc() tmpFiles(remove=TRUE) } } ## quarterly values: lA = data.frame(filename=nc.lst) library(lubridate) lA$Date = ymd(sapply(lA$filename, function(i){substr(strsplit(basename(i), '_')[[1]][4], 1, 8)})) #summary(is.na(lA$Date)) #hist(lA$Date, breaks=60) lA$quarter = quarter(lA$Date, fiscal_start = 11) summary(as.factor(lA$quarter)) for(qr in 1:4){ #qr=1 pth = paste0('A.q', qr) rs = terra::rast(lA$filename[lA$quarter==qr]) x = parallel::mclapply(sample(1:length(g1)), function(i){try( agg_tile(rs, tile=g1[i], out.year=pth) )}, mc.cores=20) for(type in c(0.05,0.5,0.95)){ x <- list.files(path=paste0('./eu_tmp/', pth), pattern=glob2rx(paste0('sm1km_', type, '_*.tif$')), full.names=TRUE) out.tmp <- paste0(pth, '.', type, '.sm1km_eu.txt') vrt.tmp <- paste0(pth, '.', type, '.sm1km_eu.vrt') cat(x, sep=' n', file=out.tmp) system(paste0('gdalbuildvrt -input_file_list ', out.tmp, ' ', vrt.tmp)) system(paste0('gdal_translate ', vrt.tmp, ' ./cogs/soil.moisture_s1.clms.qr.', qr, '.p', type, '_m_1km_20140101_20241231_eu_epsg4326_v20250206.tif -ot 'Byte' -r 'near' --config GDAL_CACHEMAX 9216 -co BIGTIFF=YES -co NUM_THREADS=80 -co COMPRESS=DEFLATE -of COG -projwin -32 72 45 27')) } } ## per year ---- for(year in 2015:2023){ l.lst = nc.lst[grep(year, basename(nc.lst))] r = terra::rast(l.lst) pth = paste0(year, '.annual') x = parallel::mclapply(sample(1:length(g1)), function(i){try( agg_tile(r, tile=g1[i], out.year=pth) )}, mc.cores=40) ## Mosaics: for(type in c(0.05,0.5,0.95)){ x <- list.files(path=paste0('./eu_tmp/', pth), pattern=glob2rx(paste0('sm1km_', type, '_*.tif$')), full.names=TRUE) out.tmp <- paste0(pth, '.', type, '.sm1km_eu.txt') vrt.tmp <- paste0(pth, '.', type, '.sm1km_eu.vrt') cat(x, sep=' n', file=out.tmp) system(paste0('gdalbuildvrt -input_file_list ', out.tmp, ' ', vrt.tmp)) system(paste0('gdal_translate ', vrt.tmp, ' ./cogs/soil.moisture_s1.clms.annual.', type, '_m_1km_', year, '0101_', year, '1231_eu_epsg4326_v20250206.tif -ot 'Byte' -r 'near' --config GDAL_CACHEMAX 9216 -co BIGTIFF=YES -co NUM_THREADS=80 -co COMPRESS=DEFLATE -of COG -projwin -32 72 45 27')) } }", "keywords": ["Soil", "Soil moisture"], "contacts": [{"organization": "Hengl, Tomislav", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14833053"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14833053", "name": "item", "description": "10.5281/zenodo.14833053", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14833053"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-07T00:00:00Z"}}, {"id": "10.1016/j.agwat.2021.106827", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:31Z", "type": "Journal Article", "created": "2021-02-27", "title": "Implementing a new texture-based soil evaporation reduction coefficient in the FAO dual crop coefficient method", "description": "Abstract Crop evapotranspiration (ET) is a fundamental component of the hydrological cycle, especially in arid/semi-arid regions. The FAO-56 offers an operational method for deriving ET from the reduction (dual crop coefficient Kc) of the atmospheric evaporative demand (ET0). The dual coefficient approach (FAO-2Kc) is intended to improve the daily estimation of ET by separating the contribution of bare soil evaporation (E) and crop transpiration components. The FAO-2Kc has been a well-known reference for the operational monitoring of crop water needs. However, its performance for estimating the water use efficiency is limited by uncertainties in the modeled evaporation/transpiration partitioning. This paper aims at improving the soil module of the FAO-2Kc by modifying the E reduction coefficient (Kr) according to soil texture information and state-of-the-art formulations, hence, to amend the mismatch between FAO-2Kc and field-measured data beyond standard conditions. In practice this work evaluates the performance of two evaporation models, using the classical Kr (Kr,FAO) and a new texture-based Kr (Kr,text) over 33 bare soil sites under different evaporative demand and soil conditions. An offline validation is investigated by forcing both models with observed soil moisture ( \u03b8 s ) data as input. The Kr,text methodology provides more accurate E estimations compared to the Kr,FAO method and systematically reduces biases. Using Kr,text allows reaching the lowest root means square error (RMSE) of 0.16\u2009mm/day compared to the Kr,FAO where the lowest RMSE reached is 0.88\u2009mm/day. As a step further in the assessment of the proposed methodology, ET was estimated in three wheat fields across the entire agricultural season. Both approaches were thus inter-compared in terms of ET estimates forced by SM estimated as a residual of the water balance model (online validation). Compared to ET measurements, the new formulation provided more accurate results. The RMSE was 0.66\u2009mm/day (0.71\u2009mm/day) and the R2 was 0.83 (0.78) for the texture-based (classical) Kr.", "keywords": ["0106 biological sciences", "2. Zero hunger", "570", "Evapotranspiration", "Soil texture", "FAO-2Kc", "0207 environmental engineering", "Soil moisture", "02 engineering and technology", "15. Life on land", "Soil evaporation", "01 natural sciences", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2021.106827"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agwat.2021.106827", "name": "item", "description": "10.1016/j.agwat.2021.106827", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2021.106827"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-01T00:00:00Z"}}, {"id": "00682004-c6b9-4c1d-8b40-3afff8bbec69", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[11.16, 47.52], [11.16, 47.52], [11.16, 47.52], [11.16, 47.52], [11.16, 47.52]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "environmental factors"}, {"id": "water"}, {"id": "Soil analysis"}, {"id": "Soil"}, {"id": "soil amendments"}, {"id": "Soil biology"}, {"id": "Temperature profile"}, {"id": "moisture content"}, {"id": "Temperature"}, {"id": "Soil temperature"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "soil profile"}, {"id": "soil moisture"}, {"id": "temperature"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "farming systems"}, {"id": "Grassland management"}, {"id": "Grassland soils"}, {"id": "grasslands"}, {"id": "permanent grasslands"}, {"id": "agriculture"}, {"id": "agricultural practices"}, {"id": "Climatic change"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. (e.g. 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: \u201cData re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - SUSALPS's research activities.\u201d Although every care has been taken in preparing and testing the data, BonaRes Module A-Project- SUSALPS and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project-SUSALPS and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project-SUSALPS and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner/author.)", "updated": "2020-02-14", "type": "Dataset", "created": "2018-12-05", "language": "eng", "title": "SUSALPS temperature and volumetric soil water content Esterberg Subplot 3 in Esterberg intensiv", "description": "Grassland is a precious good. Grassland contributes to food security by providing fodder for dairy and beef farming, storing nutrients and increasing biodiversity. These functions that secure the fertility and yields of soil are jeopardized by climate change, especially in monane and alpine areas.\nIn SUSALPS, scientists, authorities and farmers work together to investigate the influence of climate change on i) plant biodiversity, ii) C and N storage, iii) greenhouse gas exchange, iv) socio economic conditions that influence decision making of farmers.\nA central experimental aspect is the translocation of soil mesocosms from higher elevation to lower elevation (Esterberg site at 1200m, Graswang site at 860m, Fendt at 600m, Bayreuth at 300m). To reflect the spatial heterogeneity of soils, mesocosms from three different subplots approx. 100-300m apart from each other are translocated. Since temperatures are higher and precipitation is lower in lower elevation, the translocated mesocosms experience climate change.\nThis dataset contains daily average soil temperature and volumetric soil water content in 5 and 15 cm depth.\nTreatment: Esterberg Subplot 3 in Esterberg intensiv\nDevice: Decagon 5TM\nTimescale: Daily average\nDepths: 5 and 15 cm", "formats": [{"name": "CSV"}], "keywords": ["environmental factors", "water", "Soil analysis", "Soil", "soil amendments", "Soil biology", "Temperature profile", "moisture content", "Temperature", "Soil temperature", "soil profile", "soil moisture", "temperature", "farming systems", "Grassland management", "Grassland soils", "grasslands", "permanent grasslands", "agriculture", "agricultural practices", "Climatic change", "Boden", "opendata"], "contacts": [{"name": "Kiese, Ralf", "organization": "Karlsruhe Institute of Technology (KIT)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "ralf.kiese@kit.edu"}], "addresses": [{"deliveryPoint": [null], "city": "Garmisch-Partenkirchen", "administrativeArea": null, "postalCode": "82467", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Kiese, Ralf", "organization": "Karlsruhe Institute of Technology (KIT)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "ralf.kiese@kit.edu"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Karlsruhe Institute of Technology (KIT)", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=00682004-c6b9-4c1d-8b40-3afff8bbec69", "rel": "download"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/217290dd-a23f-4734-96d5-71b878a2fca8", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "00682004-c6b9-4c1d-8b40-3afff8bbec69", "name": "item", "description": "00682004-c6b9-4c1d-8b40-3afff8bbec69", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/00682004-c6b9-4c1d-8b40-3afff8bbec69"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-08-11T00:00:00Z", "2018-10-09T00:00:00Z"]}}, {"id": "07388e86-f38b-469a-9910-6e24af66bbf5", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[11.07, 47.83], [11.07, 47.83], [11.07, 47.83], [11.07, 47.83], [11.07, 47.83]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "environmental factors"}, {"id": "water"}, {"id": "Soil analysis"}, {"id": "Soil"}, {"id": "soil amendments"}, {"id": "Soil biology"}, {"id": "Temperature profile"}, {"id": "moisture content"}, {"id": "Temperature"}, {"id": "Soil temperature"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "soil profile"}, {"id": "soil moisture"}, {"id": "temperature"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "farming systems"}, {"id": "Grassland management"}, {"id": "Grassland soils"}, {"id": "grasslands"}, {"id": "permanent grasslands"}, {"id": "agriculture"}, {"id": "agricultural practices"}, {"id": "Climatic change"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. (e.g. 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: \u201cData re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - SUSALPS's research activities.\u201d Although every care has been taken in preparing and testing the data, BonaRes Module A-Project- SUSALPS and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project-SUSALPS and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project-SUSALPS and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner/author.)", "updated": "2020-02-14", "type": "Dataset", "created": "2018-12-05", "language": "eng", "title": "SUSALPS temperature and volumetric soil water content Graswang Subplot 1 in Fendt intensiv", "description": "Grassland is a precious good. Grassland contributes to food security by providing fodder for dairy and beef farming, storing nutrients and increasing biodiversity. These functions that secure the fertility and yields of soil are jeopardized by climate change, especially in monane and alpine areas. In SUSALPS, scientists, authorities and farmers work together to investigate the influence of climate change on i) plant biodiversity, ii) C and N storage, iii) greenhouse gas exchange, iv) socio economic conditions that influence decision making of farmers. A central experimental aspect is the translocation of soil mesocosms from higher elevation to lower elevation (Esterberg site at 1200m, Graswang site at 860m, Fendt at 600m, Bayreuth at 300m). To reflect the spatial heterogeneity of soils, mesocosms from three different subplots approx. 100-300m apart from each other are translocated. Since temperatures are higher and precipitation is lower in lower elevation, the translocated mesocosms experience climate change. This dataset contains daily average soil temperature and volumetric soil water content in 5 and 15 cm depth. Treatment: Graswang Subplot 1 in Fendt intensiv Device: Decagon 5TM Timescale: Daily average Depths: 5 and 15 cm", "formats": [{"name": "CSV"}], "keywords": ["environmental factors", "water", "Soil analysis", "Soil", "soil amendments", "Soil biology", "Temperature profile", "moisture content", "Temperature", "Soil temperature", "soil profile", "soil moisture", "temperature", "farming systems", "Grassland management", "Grassland soils", "grasslands", "permanent grasslands", "agriculture", "agricultural practices", "Climatic change", "Boden", "opendata"], "contacts": [{"name": "Kiese, Ralf", "organization": "Karlsruhe Institute of Technology (KIT)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "ralf.kiese@kit.edu"}], "addresses": [{"deliveryPoint": [null], "city": "Garmisch-Partenkirchen", "administrativeArea": null, "postalCode": "82467", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Kiese, Ralf", "organization": "Karlsruhe Institute of Technology (KIT)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "ralf.kiese@kit.edu"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Karlsruhe Institute of Technology (KIT)", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=07388e86-f38b-469a-9910-6e24af66bbf5", "rel": "download"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/217290dd-a23f-4734-96d5-71b878a2fca8", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "07388e86-f38b-469a-9910-6e24af66bbf5", "name": "item", "description": "07388e86-f38b-469a-9910-6e24af66bbf5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/07388e86-f38b-469a-9910-6e24af66bbf5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-08-11T00:00:00Z", "2018-10-09T00:00:00Z"]}}, {"id": "10.1002/2016JD026099", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:13:58Z", "type": "Journal Article", "created": "2017-04-07", "title": "Global soil moisture bimodality in satellite observations and climate models", "description": "Abstract

A new diagnostic metric based on soil moisture bimodality is developed in order to examine and compare soil moisture from satellite observations and Earth System Models. The methodology to derive this diagnostic is based on maximum likelihood estimator encoded into an iterative algorithm, which is applied to the soil moisture probability density function. This metric is applied to satellite data from the Advanced Microwave Scanning Radiometer for the Earth Observing System and global climate models data from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Results show high soil moisture bimodality in transitional climate areas and high latitudes, potentially associated with land\uffe2\uff80\uff90atmosphere feedback processes. When comparing satellite versus climate models, a clear difference in their soil moisture bimodality is observed, with systematically higher values in the case of CMIP5 models. These differences appear related to areas where land\uffe2\uff80\uff90atmospheric feedback may be overestimated in current climate models.

", "keywords": ["PREFERENTIAL STATES", "IMPACT", "MIXTURE", "SCHEME", "0207 environmental engineering", "NORMAL-DISTRIBUTIONS", "02 engineering and technology", "15. Life on land", "01 natural sciences", "PART I", "satellite soil moisture", "climate models", "13. Climate action", "Earth and Environmental Sciences", "LAND-SURFACE MODEL", "PRECIPITATION", "SDG 13 - Climate Action", "CMIP5", "ATMOSPHERE COUPLING EXPERIMENT", "land-atmosphere interactions", "soil moisture", "bimodality", "SYSTEM", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2016JD026099"}, {"href": "https://doi.org/10.1002/2016JD026099"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Atmospheres", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2016JD026099", "name": "item", "description": "10.1002/2016JD026099", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2016JD026099"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-04-27T00:00:00Z"}}, {"id": "10.1002/2016rg000543", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:13:58Z", "type": "Journal Article", "created": "2017-03-23", "title": "A review of spatial downscaling of satellite remotely sensed soil moisture", "description": "Abstract

Satellite remote sensing technology has been widely used to estimate surface soil moisture. Numerous efforts have been devoted to develop global soil moisture products. However, these global soil moisture products, normally retrieved from microwave remote sensing data, are typically not suitable for regional hydrological and agricultural applications such as irrigation management and flood predictions, due to their coarse spatial resolution. Therefore, various downscaling methods have been proposed to improve the coarse resolution soil moisture products. The purpose of this paper is to review existing methods for downscaling satellite remotely sensed soil moisture. These methods are assessed and compared in terms of their advantages and limitations. This review also provides the accuracy level of these methods based on published validation studies. In the final part, problems and future trends associated with these methods are analyzed.

", "keywords": ["TIME-DOMAIN REFLECTOMETRY", "550", "IN-SITU", "downscaling", "MODIS TOA RADIANCES", "AMSR-E", "15. Life on land", "551", "01 natural sciences", "LAND-SURFACE TEMPERATURE", "REMEDHUS NETWORK SPAIN", "6. Clean water", "3. Good health", "[SDU] Sciences of the Universe [physics]", "L-BAND RADIOMETER", "remote sensing", "EVAPORATIVE FRACTION", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "Earth and Environmental Sciences", "soil moisture", "SOUTHERN GREAT-PLAINS", "spatial resolution", "HIGH-RESOLUTION", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2016RG000543"}, {"href": "https://doi.org/10.1002/2016rg000543"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Reviews%20of%20Geophysics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2016rg000543", "name": "item", "description": "10.1002/2016rg000543", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2016rg000543"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-04-18T00:00:00Z"}}, {"id": "10.1002/2017JD027346", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:13:58Z", "type": "Journal Article", "created": "2017-12-28", "title": "Soil Moisture-Temperature Coupling in a Set of Land Surface Models", "description": "Abstract

The land surface controls the partitioning of water and energy fluxes and therefore plays a crucial role in the climate system. The coupling between soil moisture and air temperature, in particular, has been shown to affect the severity and occurrence of temperature extremes and heat waves. Here we study soil moisture\uffe2\uff80\uff90temperature coupling in five land surface models, focusing on the terrestrial segment of the coupling in the warm season. All models are run off\uffe2\uff80\uff90line over a common period with identical atmospheric forcing data, in order to allow differences in the results to be attributed to the models' partitioning of energy and water fluxes. Coupling is calculated according to two semiempirical metrics, and results are compared to observational flux tower data. Results show that the locations of the global hot spots of soil moisture\uffe2\uff80\uff90temperature coupling are similar across all models and for both metrics. In agreement with previous studies, these areas are located in transitional climate regimes. The magnitude and local patterns of model coupling, however, can vary considerably. Model coupling fields are compared to tower data, bearing in mind the limitations in the geographical distribution of flux towers and the differences in representative area of models and in situ data. Nevertheless, model coupling correlates in space with the tower\uffe2\uff80\uff90based results (r = 0.5\uffe2\uff80\uff930.7), with the multimodel mean performing similarly to the best\uffe2\uff80\uff90performing model. Intermodel differences are also found in the evaporative fractions and may relate to errors in model parameterizations and ancillary data of soil and vegetation characteristics.

", "keywords": ["ENVIRONMENT SIMULATOR JULES", "FLUXES", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "CO2 EXCHANGE", "models", "WATER", "SCALE", "Research Articles", "0105 earth and related environmental sciences", "land surface", "CARBON-DIOXIDE EXCHANGE", "eartH2Observe", "temperature", "15. Life on land", "DECIDUOUS FOREST", "CLIMATE", "EVAPORATION", "VARIABILITY", "13. Climate action", "Earth and Environmental Sciences", "BALANCE", "land surface models", "SENSIBLE HEAT", "land-atmosphere interactions", "soil moisture"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2017JD027346"}, {"href": "https://doi.org/10.1002/2017JD027346"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Atmospheres", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2017JD027346", "name": "item", "description": "10.1002/2017JD027346", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2017JD027346"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-02-01T00:00:00Z"}}, {"id": "10.1002/hyp.14451", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:03Z", "type": "Journal Article", "created": "2021-12-11", "title": "Hydrological responses to rainfall events including the extratropical cyclone Gloria in two contrasting Mediterranean headwaters in Spain; the perennial font del Reg\u00e0s and the intermittent Fuirosos", "description": "Abstract

Catchment hydrological responses to precipitation inputs, particularly during exceptionally large storms, are complex and variable, and our understanding of the associated runoff generation processes during those events is limited. Hydrological monitoring of climatically and hydrologically distinct catchments can help to improve this understanding by shedding light on the interplay between antecedent soil moisture conditions, hydrological connectivity, and rainfall event characteristics. This knowledge is urgently needed considering that both the frequency and magnitude of extreme precipitation events are increasing worldwide as a consequence of climate change. In autumn 2018, we installed water level sensors to monitor stream water and near\uffe2\uff80\uff90stream groundwater levels at two Mediterranean forest headwater catchments with contrasting hydrological regimes: Font del Reg\uffc3\uffa0s (sub\uffe2\uff80\uff90humid climate, perennial flow regime) and Fuirosos (semi\uffe2\uff80\uff90arid climate, intermittent flow regime). Both catchments are located in northeastern Spain, where the extratropical cyclone Gloria hit in January 2020 and left in ca. 65\uffe2\uff80\uff89h outstanding accumulated rainfalls of 424\uffe2\uff80\uff89mm in Font del Reg\uffc3\uffa0s and 230\uffe2\uff80\uff89mm in Fuirosos. During rainfall events of low mean intensity, hydrological responses to precipitation inputs at the semi\uffe2\uff80\uff90arid Fuirosos were more delayed and more variable than at the sub\uffe2\uff80\uff90humid Font del Reg\uffc3\uffa0s. We explain these divergences by differences in antecedent soil moisture conditions and associated differences in catchment hydrological connectivity between the two catchments, which in this case are likely driven by differences in local climate rather than by differences in local topography. In contrast, during events of moderate and high mean rainfall intensities, including the storm Gloria, precipitation inputs and hydrological responses correlated similarly in the two catchments. We explain this convergence by rapid development of hydrological connectivity independently of antecedent soil moisture conditions. The data set presented here is unique and contributes to our mechanistic understanding on how streams respond to rainfall events and exceptionally large storms in catchments with contrasting flow regimes.

", "keywords": ["info:eu-repo/classification/ddc/550", "550", "ddc:550", "rainfall intensity", "climate extreme", "15. Life on land", "551", "extreme hydrological event", "01 natural sciences", "6. Clean water", "antecedent soil moisture conditions", "Earth sciences", "13. Climate action", "heavy rainfall", "Mediterranean climate", "catchment hydrological connectivity", "environmental monitoring", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.14451"}, {"href": "https://doi.org/10.1002/hyp.14451"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrological%20Processes", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/hyp.14451", "name": "item", "description": "10.1002/hyp.14451", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/hyp.14451"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-01T00:00:00Z"}}, {"id": "10.1002/hyp.14667", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:03Z", "type": "Journal Article", "created": "2022-08-09", "title": "Non\u2010linearity in event runoff generation in a small agricultural catchment", "description": "Abstract

Understanding the role of soil moisture and other controls in runoff generation is important for predicting runoff across scales. This paper aims to identify the degree of non\uffe2\uff80\uff90linearity of the relationship between event peak runoff and potential controls for different runoff generation mechanisms in a small agricultural catchment. The study is set in the 66\uffe2\uff80\uff89ha Hydrological Open Air Laboratory, Austria, where discharge was measured at the catchment outlet and for 11 sub\uffe2\uff80\uff90catchments or hillslopes with different runoff generation mechanisms. Peak runoff of 73 events was related to three potential controls: event precipitation, soil moisture and groundwater levels. The results suggest that the hillslopes dominated by ephemeral overland flow exhibit the most non\uffe2\uff80\uff90linear runoff generation behaviour for its controls; runoff is only generated above a threshold of 95% of the maximum soil moisture. Runoff generation through tile drains and in wetlands is more linear. The largest winter and spring events at the catchment outlet are caused by runoff from hillslopes with shallow flow paths (ephemeral overland flow and tile drainage mechanisms), while the largest summer events are caused by other hillslopes, those with deeper flow paths or with saturation areas throughout the year. Therefore, the response of the entire catchment is a mix of the various mechanisms, and the groundwater contribution makes the response more linear. The implications for hydrological modelling are discussed.Agricultural soils can act as a source or sink of atmospheric C, according to the soil management. This long-term experiment (22 years) was evaluated during 30 days in autumn, to quantify the effect of tillage systems (conventional tillage-CT and no-till-NT) on the soil CO2-C flux in a Rhodic Hapludox in Rio Grande do Sul State, Southern Brazil. A closed-dynamic system (Flux Chamber 6400-09, Licor) and a static system (alkali absorption) were used to measure soil CO2-C flux immediately after soybean harvest. Soil temperature and soil moisture were measured simultaneously with CO2-C flux, by Licor-6400 soil temperature probe and manual TDR, respectively. During the entire month, a CO2-C emission of less than 30 % of the C input through soybean crop residues was estimated. In the mean of a 30 day period, the CO2-C flux in NT soil was similar to CT, independent of the chamber type used for measurements. Differences in tillage systems with dynamic chamber were verified only in short term (daily evaluation), where NT had higher CO2-C flux than CT at the beginning of the evaluation period and lower flux at the end. The dynamic chamber was more efficient than the static chamber in capturing variations in CO2-C flux as a function of abiotic factors. In this chamber, the soil temperature and the water-filled pore space (WFPS), in the NT soil, explained 83 and 62 % of CO2-C flux, respectively. The Q10 factor, which evaluates CO2-C flux dependence on soil temperature, was estimated as 3.93, suggesting a high sensitivity of the biological activity to changes in soil temperature during fall season. The CO2-C flux measured in a closed dynamic chamber was correlated with the static alkali adsorption chamber only in the NT system, although the values were underestimated in comparison to the other, particularly in the case of high flux values. At low soil temperature and WFPS conditions, soil tillage caused a limited increase in soil CO2-C flux.

", "keywords": ["Efeito estufa", "2. Zero hunger", "Biologia do solo", "no-till", "umidade do solo", "soil temperature", "temperatura do solo", "Temperatura do solo", "No-till", "04 agricultural and veterinary sciences", "Plantio direto", "15. Life on land", "Solos - Umidade", "6. Clean water", "Umidade do solo", "plantio direto", "Greenhouse gases", "13. Climate action", "greenhouse gases", "Soil temperature", "0401 agriculture", " forestry", " and fisheries", "Soil moisture", "soil moisture", "gases de efeito estufa"], "contacts": [{"organization": "Chavez, Luis Fernando, Amado, Telmo Jorge Carneiro, Bayer, Cim\u00e9lio, La Scala, Newton Junior, Escobar, Luisa Fernanda, Fiorin, Jackson Ernani, Campos, Ben-Hur Costa de,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1590/s0100-06832009000200010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Revista%20Brasileira%20de%20Ci%C3%AAncia%20do%20Solo", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1590/s0100-06832009000200010", "name": "item", "description": "10.1590/s0100-06832009000200010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1590/s0100-06832009000200010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-04-01T00:00:00Z"}}, {"id": "10.1111/1462-2920.16268", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:24Z", "type": "Journal Article", "created": "2022-11-03", "title": "Environmental micro\u2010niche filtering shapes bacterial pioneer communities during primary colonization of a Himalayas' glacier forefield", "description": "Abstract

The pedogenesis from the mineral substrate released upon glacier melting has been explained with the succession of consortia of pioneer microorganisms, whose structure and functionality are determined by the environmental conditions developing in the moraine. However, the microbiome variability that can be expected in the environmentally heterogeneous niches occurring in a moraine at a given successional stage is poorly investigated. In a 50\uffe2\uff80\uff89m2 area in the forefield of the Lobuche glacier (Himalayas, 5050\uffe2\uff80\uff89m above sea level), we studied six sites of primary colonization presenting different topographical features (orientation, elevation and slope) and harbouring greyish/dark biological soil crusts (BSCs). The spatial vicinity of the sites opposed to their topographical differences, allowed us to examine the effect of environmental conditions independently from the time of deglaciation. The bacterial microbiome diversity and their co\uffe2\uff80\uff90occurrence network, the bacterial metabolisms predicted from 16S rRNA gene high\uffe2\uff80\uff90throughput sequencing, and the microbiome intact polar lipids were investigated in the BSCs and the underlying sediment deep layers (DLs). Different bacterial microbiomes inhabited the BSCs and the DLs, and their composition varied among sites, indicating a niche\uffe2\uff80\uff90specific role of the micro\uffe2\uff80\uff90environmental conditions in the bacterial communities' assembly. In the heterogeneous sediments of glacier moraines, physico\uffe2\uff80\uff90chemical and micro\uffe2\uff80\uff90climatic variations at the site\uffe2\uff80\uff90spatial scale are crucial in shaping the microbiome microvariability and structuring the pioneer bacterial communities during pedogenesis.

", "keywords": ["0301 basic medicine", "Pedogenesis", "0303 health sciences", "Glacier Foreland Succession", "Bacteria", "Biological soil crust", "15. Life on land", "Primary Colonization", "Soil", "03 medical and health sciences", "13. Climate action", "RNA", " Ribosomal", " 16S", "Glacier Moraines", "Cold Deserts", "Pioneer Bacterial Communities", "Ice Cover", "Soil moisture", "Research Articles", "Soil Microbiology"]}, "links": [{"href": "https://air.unimi.it/bitstream/2434/949070/2/Rolli%20et%20al%202022%20Environmental%20micro%e2%80%90niche%20filtering%20shapes%20bacterial%20pioneer%20communities.pdf"}, {"href": "https://eprints.ncl.ac.uk/fulltext.aspx?url=302678/40A25368-9064-4886-B8E6-E7942511FA71.pdf&pub_id=302678"}, {"href": "https://doi.org/10.1111/1462-2920.16268"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/1462-2920.16268", "name": "item", "description": "10.1111/1462-2920.16268", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/1462-2920.16268"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-18T00:00:00Z"}}, {"id": "10.1029/2024jg008231", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:29Z", "type": "Journal Article", "created": "2024-10-17", "title": "Assimilation of Sentinel\u20101 Backscatter to Update AquaCrop Estimates of Soil Moisture and Crop Biomass", "description": "Abstract

This study assesses the potential of regional microwave backscatter data assimilation (DA) in AquaCrop for the first time, using NASA's Land Information System. The objective is to assess whether the assimilation setup can improve surface soil moisture (SSM) and crop biomass estimates. SSM and crop biomass simulations from AquaCrop were updated using Sentinel\uffe2\uff80\uff901 synthetic aperture radar observations, over three regions in Europe in two separate DA experiments. The first experiment concerned updating SSM using VV\uffe2\uff80\uff90polarized backscatter and the corrections were propagated via the model to the biomass. In the second experiment, the DA setup was extended by also updating the biomass with VH\uffe2\uff80\uff90polarized backscatter. SSM was evaluated with local in situ data and with downscaled Soil Moisture Active Passive (SMAP) retrievals for all cropland grid cells, whereas crop biomass was compared to SMAP vegetation optical depth and the Copernicus dry matter productivity. The assimilation showed mixed results for root mean square error and Pearson's correlation, with slight overall improvements in the (anomaly) correlations of updated SSM relative to independent in situ and satellite data. By contrast, the biomass estimates obtained with backscatter DA did not agree better with reference data sets. Overall, the SSM evaluation showed that there is potential in using Sentinel\uffe2\uff80\uff901 backscatter for assimilation in AquaCrop, but the present setup was not able to improve crop biomass estimates. Our study reveals how the complex interaction between SSM, crop biomass and backscatter affect the impact and performance of DA, offering insight into ways to optimize DA for crop growth estimation.Global warming leads to drastic changes in the diversity and structure of Arctic plant communities. Studies of functional diversity within the Arctic tundra biome have improved our understanding of plant responses to warming. However, these studies still show substantial unexplained variation in diversity responses. Complementary to functional diversity, phylogenetic diversity has been useful in climate change studies, but has so far been understudied in the Arctic. Here, we use a 25 year warming experiment to disentangle community responses in Arctic plant phylogenetic \uffce\uffb2 diversity across a soil moisture gradient. We found that responses varied over the soil moisture gradient, where meadow communities with intermediate to high soil moisture had a higher magnitude of response. Warming had a negative effect on soil moisture levels in all meadow communities, however meadows with intermediate moisture levels were more sensitive. In these communities, soil moisture loss was associated with earlier snowmelt, resulting in community turnover towards a more heath-like community. This process of \uffe2\uff80\uff98heathification\uffe2\uff80\uff99 in the intermediate moisture meadows was driven by the expansion of ericoid and Betula shrubs. In contrast, under a more consistent water supply Salix shrub abundance increased in wet meadows. Due to its lower stature, palatability and decomposability, the increase in heath relative to meadow vegetation can have several large scale effects on the local food web as well as climate. Our study highlights the importance of the hydrological cycle as a driver of vegetation turnover in response to Arctic climate change. The observed patterns in phylogenetic \uffce\uffb2 diversity were often driven by contrasting responses of species of the same functional growth form, and could thus provide important complementary information. Thus, phylogenetic diversity is an important tool in disentangling tundra response to environmental change.Mass loss, together with nitrogen and carbon loss, from above\uffe2\uff80\uff90ground material and roots of Festuca vivipara were followed for 13 months in a high Arctic polar semi\uffe2\uff80\uff90desert and a low Arctic tree\uffe2\uff80\uff90line dwarf shrub heath. Festuca vivipara for the study was obtained from plants cultivated at two different CO2 concentrations (350 and 500 \uffce\uffbcL L\uffe2\uff80\uff931) in controlled environment chambers in the UK. Each of the four resource types (shoots or roots from plants grown in elevated or ambient CO2 concentrations) was subsequently placed in an experiment simulating aspects of environmental change in each Arctic ecosystem. Air, litter and soil temperatures were increased using open\uffe2\uff80\uff90topped polythene tents at both sites, and a 58% increase in summer precipitation was simulated at the high Arctic site.

Mass loss was greatest at the low Arctic site, and from the shoot material, rather than the roots. Shoots grown under an elevated CO2 concentration decomposed more slowly at the high Arctic site, and more quickly at the low Arctic one, than shoots grown at ambient CO2. After 13 months, greater amounts of C and N remained in above\uffe2\uff80\uff90ground litter from plants grown under elevated, rather than ambient, CO2 at the polar semi\uffe2\uff80\uff90desert site, although lower amounts of C remained in elevated CO2 litter at the low Arctic ecosystem. In the high Arctic, roots grown in the 500 \uffce\uffbcL L\uffe2\uff80\uff931 CO2 concentration decomposed significantly more slowly than below\uffe2\uff80\uff90ground material derived from the ambient CO2 chambers. Elevated CO2 concentrations significantly increased the inital C:N ratio, % soluble carbohydrates and \uffce\uffb1\uffe2\uff80\uff90cellulose content, and significantly decreased the inital N content, of the above\uffe2\uff80\uff90ground material compared to that derived from the ambient treatment. Initially, the C:N ratio and percentage N were similar in both sets of roots derived from the two different CO2 treatments, but soluble carbohydrate and \uffce\uffb1\uffe2\uff80\uff90cellulose concentrations were higher, and percentage lignin lower, in the elevated CO2 treatments.The tent treatments significantly retarded shoot decomposition in both ecosystems, probably because of lower litter bag moisture contents, although the additional precipitation treatment had no effect on mass loss from the above\uffe2\uff80\uff90ground material. The results suggest that neither additional summer precipitation (up to 58%), nor soil temperature increase of 1 \uffc2\uffb0C, which may occur by the end of the next century as an effect of a predicted 4 \uffc2\uffb0C rise in air temperature, had an appreciable effect on root decomposition in the short term in a high Arctic soil. However, at the low Arctic site, greater root decomposition, and a lower pool of root N remaining, were observed where soil temperature was increased by 2 \uffc2\uffb0C in response to a 4 \uffc2\uffb0C rise in air temperature. These results suggest that decomposition below\uffe2\uff80\uff90ground in this ecosystem would increase as an effect of predicted climate change. These data also show that there is a difference in the initial results of decomposition processes between the two Arctic ecosystems in response to simulated environmental change.

", "keywords": ["0106 biological sciences", "Decomposition", "Litter quality", "Nitrogen", "Grass", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Carbon", "Arctic", "13. Climate action", "Soil temperature", "0401 agriculture", " forestry", " and fisheries", "Elevated CO2", "Soil moisture"]}, "links": [{"href": "https://doi.org/10.1046/j.1365-2486.1997.d01-133.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1046/j.1365-2486.1997.d01-133.x", "name": "item", "description": "10.1046/j.1365-2486.1997.d01-133.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1046/j.1365-2486.1997.d01-133.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1997-02-01T00:00:00Z"}}, {"id": "10.1046/j.1469-8137.1997.00682.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:45Z", "type": "Journal Article", "created": "2003-03-12", "title": "Effects Of Elevated Atmospheric Co2 And Soil Water Availability On Root Biomass, Root Length, And N, P And K Uptake By Wheat", "description": "summary

We investigated interactions between the effects of elevated atmospheric carbon dioxide concentrations ([CO2]) and soil water availability on root biomass, root length and nutrient uptake by spring wheat (Triticum aestivumcv. Tonic). We grew plants at 350 and 700 \uffce\uffbcmol mol\uffe2\uff88\uff921CO2and with frequent and infrequent watering (\uffe2\uff80\uff98wet\uffe2\uff80\uff99 and \uffe2\uff80\uff98dry\uffe2\uff80\uff99 treatments, respectively). Water use per plant was 1.25 times greater at 350 than at 700 \uffce\uffbcmol CO2mol\uffe2\uff88\uff921, and 1.4 times greater in the \uffe2\uff80\uff98wet\uffe2\uff80\uff99 than in the \uffe2\uff80\uff98dry\uffe2\uff80\uff99 treatment. Root biomass increased with [CO2] and with watering frequency. Elevated [CO2] changed the vertical distribution of the roots, with a greater stimulation of root growth in the top layers of the soil. These data were confirmed by the video data of root lengths in the \uffe2\uff80\uff98dry\uffe2\uff80\uff99 treatment, which showed a delayed root development at depth under elevated [CO2]. The apparent amount of N mineralized appeared to be equal for all treatments. Nutrient uptake was affected by [CO2] and by watering frequency, and there were interactions between these treatments. These interactions were different for N, K and P, which appeared to be related to differences in nutrient availability and mobility in the soil. Moreover, these interactions changed with time as the root system became larger with [CO2] and with watering frequency, and as fluctuations in soil moisture contents increased. Elevated [CO2] affected nutrient uptake in contrasting ways. Potassium uptake appeared to be reduced by the smaller mass flow of water reaching the root surface. However, this might be countered with time by the greater root biomass at elevated [CO2], by the greater soil moisture contents at elevated [CO2], enabling faster diffusion, or both. Phosphorus uptake appeared to be increased by the greater root biomass at elevated [COJ. We conclude that plant nutrient uptake at elevated [CO2] is affected by interactions with water availability, though differences between nutrients preclude generalizations of the response.

", "keywords": ["2. Zero hunger", "0106 biological sciences", "0401 agriculture", " forestry", " and fisheries", "Elevated CO2", "Soil moisture", "04 agricultural and veterinary sciences", "15. Life on land", "Roots", "01 natural sciences", "6. Clean water", "Triticum aestivum cv. Tonic (spring wheat)"]}, "links": [{"href": "https://doi.org/10.1046/j.1469-8137.1997.00682.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1046/j.1469-8137.1997.00682.x", "name": "item", "description": "10.1046/j.1469-8137.1997.00682.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1046/j.1469-8137.1997.00682.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1997-03-01T00:00:00Z"}}, {"id": "10.1080/01490451.2014.908981", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:01Z", "type": "Journal Article", "created": "2015-08-19", "title": "Response Of Soil Denitrifying Communities To Long-Term Prescribed Burning In Two Australian Sclerophyll Forests", "description": "Low-intensity prescribed burning is a common forest management tool and plays a major role in modifying biogeochemical cycling through the alteration of substrate availability and microbial communities. In this study, we assessed the response of microbial community to repeated prescribed burning in two sclerophyll forests (the Bauple site, dry, annual rainfall 1000\u00a0mm; and the Peachester site, wet, 1711\u00a0mm) in southeast Queensland, Australia. At the dry sclerophyll forest (the Bauple site), annual and triennial burning did not significantly alter the soil carbon (C) and nitrogen (N) content, while at the wet scleophyll forest (the Peachester site), two yearly burnings resulted in significantly lower soil total C and N contents compared to the long unburnt treatment. In spite of these different responses, prescribed burning regimes did not significantly influence the abundance of 16S rRNA or denitrifying gene (narG, nirK, nirS, nosZ) at both sites. These results indicated that, long-term prescribed burning has little effect on the denitrifying communities, while it has varying effects on soil chemical properties at the two sites, which are likely to be explained by differences in vegetation type and soil moisture regime.", "keywords": ["580", "550", "FoR 0403 (Geology)", "denitrifying community", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "long-term repeated burning", "Microbiology", "3. Good health", "FoR 0605 (Microbiology)", "qPCR", "Soil biology", "13. Climate action", "sclerophyll forest", "0401 agriculture", " forestry", " and fisheries", "soil moisture"]}, "links": [{"href": "https://doi.org/10.1080/01490451.2014.908981"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geomicrobiology%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1080/01490451.2014.908981", "name": "item", "description": "10.1080/01490451.2014.908981", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1080/01490451.2014.908981"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-08-09T00:00:00Z"}}, {"id": "10.1080/05704928.2022.2128365", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:03Z", "type": "Journal Article", "created": "2022-10-03", "title": "Mathematical techniques to remove moisture effects from visible\u2013near-infrared\u2013shortwave-infrared soil spectra\u2014review", "description": "This is an Accepted Manuscript of an article published by Taylor & Francis in Applied Spectroscopy Reviews on 03 October 2022, available at: https://doi.org/10.1080/05704928.2022.2128365", "keywords": ["EJP Soil", "Proximal Sensing", "ProbeField", "Soil Moisture", "04 agricultural and veterinary sciences", "algorithms", "01 natural sciences", "diffuse reflectance spectroscopy", "field-moist conditions", "EJPSOIL", "0401 agriculture", " forestry", " and fisheries", "indices", "Soil moisture", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.tandfonline.com/doi/pdf/10.1080/05704928.2022.2128365"}, {"href": "https://doi.org/10.1080/05704928.2022.2128365"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Spectroscopy%20Reviews", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1080/05704928.2022.2128365", "name": "item", "description": "10.1080/05704928.2022.2128365", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1080/05704928.2022.2128365"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-03T00:00:00Z"}}, {"id": "10.3389/fenvs.2021.555216", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:29Z", "type": "Journal Article", "created": "2021-03-16", "title": "Extending the spatio-temporal applicability of DISPATCH soil moisture downscaling algorithm: A study case using SMAP, MODIS and Sentinel-3 data", "description": "

DISPATCH is a disaggregation algorithm of the low-resolution soil moisture (SM) estimates derived from passive microwave observations. It provides disaggregated SM data at typically 1\uffc2\uffa0km resolution by using the soil evaporative efficiency (SEE) estimated from optical/thermal data collected around solar noon. DISPATCH is based on the relationship between the evapo-transpiration rate and the surface SM under non-energy-limited conditions and hence is well adapted for semi-arid regions with generally low cloud cover and sparse vegetation. The objective of this paper is to extend the spatio-temporal coverage of DISPATCH data by 1) including more densely vegetated areas and 2) assessing the usefulness of thermal data collected earlier in the morning. Especially, we evaluate the performance of the Temperature Vegetation Dryness Index (TVDI) instead of SEE in the DISPATCH algorithm over vegetated areas (called vegetation-extended DISPATCH) and we quantify the increase in coverage using Sentinel-3 (overpass at around 09:30 am) instead of MODIS (overpass at around 10:30 am and 1:30 pm for Terra and Aqua, respectively) data. In this study, DISPATCH is applied to 36\uffc2\uffa0km resolution Soil Moisture Active and Passive SM data over three 50\uffc2\uffa0km by 50\uffc2\uffa0km areas in Spain and France to assess the effectiveness of the approach over temperate and semi-arid regions. The use of TVDI within DISPATCH increases the coverage of disaggregated images by 9 and 14% over the temperate and semi-arid sites, respectively. Moreover, including the vegetated pixels in the validation areas increases the overall correlation between satellite and in situ SM from 0.36 to 0.43 and from 0.41 to 0.79 for the temperate and semi-arid regions, respectively. The use of Sentinel-3 can increase the spatio-temporal coverage by up to 44% over the considered MODIS tile, while the overlapping disaggregated data sets derived from Sentinel-3 and MODIS land surface temperature data are strongly correlated (around 0.7). Additionally, the correlation between satellite and in situ SM is significantly better for DISPATCH (0.39\uffe2\uff80\uff930.80) than for the Copernicus Sentinel-1-based (\uffe2\uff88\uff920.03 to 0.69) and SMAP/S1 (0.37\uffe2\uff80\uff930.74) product over the three studies (temperate and semi-arid) areas, with an increase in yearly valid retrievals for the vegetation-extended DISPATCH algorithm.

", "keywords": ["550", "0211 other engineering and technologies", "TVDI", "SMAP", "02 engineering and technology", "EVI", "15. Life on land", "01 natural sciences", "333", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Environmental sciences", "DISPATCH", "13. Climate action", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "GE1-350", "Sentinel-3", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "soil moisture", "environment", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.3389/fenvs.2021.555216"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Environmental%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fenvs.2021.555216", "name": "item", "description": "10.3389/fenvs.2021.555216", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fenvs.2021.555216"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-16T00:00:00Z"}}, {"id": "10.3390/d4030334", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:39Z", "type": "Journal Article", "created": "2012-09-20", "description": "

We compared forest floor depth, soil organic matter, soil moisture, anaerobic mineralizable nitrogen (a measure of microbial biomass), denitrification potential, and soil/litter arthropod communities among old growth, unthinned mature stands, and thinned mature stands at nine sites (each with all three stand types) distributed among three regions of Oregon. Mineral soil measurements were restricted to the top 10 cm. Data were analyzed with both multivariate and univariate analyses of variance. Multivariate analyses were conducted with and without soil mesofauna or forest floor mesofauna, as data for those taxa were not collected on some sites. In multivariate analysis with soil mesofauna, the model giving the strongest separation among stand types (P = 0.019) included abundance and richness of soil mesofauna and anaerobic mineralizable nitrogen. The best model with forest floor mesofauna (P = 0.010) included anaerobic mineralizable nitrogen, soil moisture content, and richness of forest floor mesofauna. Old growth had the highest mean values for all variables, and in both models differed significantly from mature stands, while the latter did not differ. Old growth also averaged higher percent soil organic matter, and analysis including that variable was significant but not as strong as without it. Results of the multivariate analyses were mostly supported by univariate analyses, but there were some differences. In univariate analysis, the difference in percent soil organic matter between old growth and thinned mature was due to a single site in which the old growth had exceptionally high soil organic matter; without that site, percent soil organic matter did not differ between old growth and thinned mature, and a multivariate model containing soil organic matter was not statistically significant. In univariate analyses soil mesofauna had to be compared nonparametrically (because of heavy left-tails) and differed only in the Siskiyou Mountains, where they were most abundant and species rich in old growth forests. Species richness of mineral soil mesofauna correlated significantly (+) with percent soil organic matter and soil moisture, while richness of forest floor mesofauna correlated (+) with depth of the forest floor. Composition of forest floor and soil mesofauna suggest the two groups represent a single community. Soil moisture correlated highly with percent soil organic matter, with no evidence for drying in sites that were sampled relatively late in the summer drought, suggesting losses of surface soil moisture were at least partially replaced by hydraulic lift (which has been demonstrated in other forests of the region).

", "keywords": ["soil arthropods", "disturbance", "0106 biological sciences", "soil organic matter; soil nitrogen; soil moisture; soil arthropods; thinning; disturbance; forest management", "QH301-705.5", "soil organic matter", "soil nitrogen", "thinning", "forest management", "soil moisture", "Biology (General)", "15. Life on land", "01 natural sciences"], "contacts": [{"organization": "Robert P. Griffiths, Andrew R. Moldenke, David A. Perry, Stephanie L. Madson,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/1424-2818/4/3/334/pdf"}, {"href": "https://doi.org/10.3390/d4030334"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Diversity", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/d4030334", "name": "item", "description": "10.3390/d4030334", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/d4030334"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-09-20T00:00:00Z"}}, {"id": "10.1098/rstb.2018.0084", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:16Z", "type": "Journal Article", "created": "2018-10-08", "title": "Changes in surface hydrology, soil moisture and gross primary production in the Amazon during the 2015/2016 El Ni\u00f1o", "description": "

The 2015/2016 El Ni\uffc3\uffb1o event caused severe changes in precipitation across the tropics. This impacted surface hydrology, such as river run-off and soil moisture availability, thereby triggering reductions in gross primary production (GPP). Many biosphere models lack the detailed hydrological component required to accurately quantify anomalies in surface hydrology and GPP during droughts in tropical regions. Here, we take the novel approach of coupling the biosphere model SiBCASA with the advanced hydrological model PCR-GLOBWB to attempt such a quantification across the Amazon basin during the drought in 2015/2016. We calculate 30\uffe2\uff80\uff9340% reduced river discharge in the Amazon starting in October 2015, lagging behind the precipitation anomaly by approximately one month and in good agreement with river gauge observations. Soil moisture shows distinctly asymmetrical spatial anomalies with large reductions across the north-eastern part of the basin, which persisted into the following dry season. This added to drought stress in vegetation, already present owing to vapour pressure deficits at the leaf, resulting in a loss of GPP of 0.95 (0.69 to 1.20) PgC between October 2015 and March 2016 compared with the 2007\uffe2\uff80\uff932014 average. Only 11% (10\uffe2\uff80\uff9312%) of the reduction in GPP was found in the (wetter) north-western part of the basin, whereas the north-eastern and southern regions were affected more strongly, with 56% (54\uffe2\uff80\uff9356%) and 33% (31\uffe2\uff80\uff9333%) of the total, respectively. Uncertainty on this anomaly mostly reflects the unknown rooting depths of vegetation.

This article is part of a discussion meeting issue \uffe2\uff80\uff98The impact of the 2015/2016 El Ni\uffc3\uffb1o on the terrestrial tropical carbon cycle: patterns, mechanisms and implications\uffe2\uff80\uff99.

", "keywords": ["El Nino-Southern Oscillation", "0207 environmental engineering", "Articles", "02 engineering and technology", "Forests", "15. Life on land", "tropical terrestrial carbon cycle", "01 natural sciences", "6. Clean water", "Carbon Cycle", "Droughts", "Soil", "13. Climate action", "El Ni\u00f1o", "Seasons", "soil moisture", "Hydrology", "gross primary productivity", "Amazon", "river discharge", "Brazil", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://royalsocietypublishing.org/doi/pdf/10.1098/rstb.2018.0084"}, {"href": "https://doi.org/10.1098/rstb.2018.0084"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Philosophical%20Transactions%20of%20the%20Royal%20Society%20B%3A%20Biological%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1098/rstb.2018.0084", "name": "item", "description": "10.1098/rstb.2018.0084", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1098/rstb.2018.0084"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-08T00:00:00Z"}}, {"id": "10.1109/lgrs.2021.3073484", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:21Z", "type": "Journal Article", "created": "2021-06-10", "title": "Sentinel-1 Backscatter Assimilation Using Support Vector Regression or the Water Cloud Model at European Soil Moisture Sites", "description": "Sentinel-1 backscatter observations were assimilated into the Global Land Evaporation Amsterdam Model (GLEAM) using an ensemble Kalman filter. As a forward operator, which is required to simulate backscatter from soil moisture and leaf area index (LAI), we evaluated both the traditional water cloud model (WCM) and the support vector regression (SVR). With SVR, a closer fit between backscatter observations and simulations was achieved. The impact on the correlation between modeled and in situ soil moisture measurements was similar when assimilating the Sentinel data using WCM (\u0394 R = +0.037) or SVR (\u0394 R = +0.025).", "keywords": ["Vegetation mapping", "support vector regression (SVR)", "Technology and Engineering", "Data models", "0211 other engineering and technologies", "Computational modeling", "02 engineering and technology", "15. Life on land", "Geotechnical Engineering and Engineering Geology", "01 natural sciences", "Backscatter", "radar backscatter", "Soil", "Earth and Environmental Sciences", "LAND EVAPORATION", "Data assimilation", "Soil moisture", "Electrical and Electronic Engineering", "soil moisture", "Moisture", "SMOS", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/8859/9651998/09451176.pdf?arnumber=9451176"}, {"href": "https://doi.org/10.1109/lgrs.2021.3073484"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Geoscience%20and%20Remote%20Sensing%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/lgrs.2021.3073484", "name": "item", "description": "10.1109/lgrs.2021.3073484", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/lgrs.2021.3073484"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.1109/metroagrifor52389.2021.9628588", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:22Z", "type": "Journal Article", "created": "2021-12-03", "title": "Assessing spatial soil moisture patterns at a small agricultural catchment", "description": "2021 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). Trento-Bolzano (Italy), 3-5 Nov. 2021. A good understanding of soil moisture spatial patterns is useful for assessing the hydrological connectivity and runoff generation processes in a catchment. Thus, we have applied numerical modelling approaches to investigate the spatial patterns of soil moisture at the Nu\u010dice experimental catchment (0.531 km 2 ) in the Czech Republic. The catchment was established in 2011 to observe the rainfall-runoff processes, soil erosion and water balance in an agricultural landscape. The catchment consists of three fields covering over 95 % of the area. Eight field surveys were conducted to capture the soil moisture patterns at different scales. Even though the soil management and soil properties in the fields of Nu\u010dice seem to be nearly homogeneous, we have observed spatial variability in topsoil moisture. In numerical simulations, a 3D spatially-distributed model MIKE-SHE was used to simulate the water movement within the catchments. The MIKE-SHE simulation has been mainly calibrated with rainfall-runoff observations and point-scale soil moisture data. In the simulation, we have obtained the spatial patterns of soil moisture at each time step. The soil moisture spatial patterns from the simulation have been compared with the density of the vegetation cover (NDVI), and topsoil moisture patterns from field surveys. We found that the density of vegetation cover has a good correlation with the soil moisture spatial distribution. However, this correlation was not captured in the MIKE-SHE simulation. Future research will include Cosmic-ray neutron sensing and stable isotope analysis to improve the current understanding of the catchment. Peer reviewed", "keywords": ["Vegetation mapping", "13. Climate action", "Solid modeling", "0207 environmental engineering", "Three-dimensional displays", "Soil moisture", "Soil properties", "02 engineering and technology", "15. Life on land", "Moisture", "6. Clean water", "Correlation"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/9628139/9628392/09628588.pdf?arnumber=9628588"}, {"href": "https://doi.org/10.1109/metroagrifor52389.2021.9628588"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2021%20IEEE%20International%20Workshop%20on%20Metrology%20for%20Agriculture%20and%20Forestry%20%28MetroAgriFor%29", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/metroagrifor52389.2021.9628588", "name": "item", "description": "10.1109/metroagrifor52389.2021.9628588", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/metroagrifor52389.2021.9628588"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-03T00:00:00Z"}}, {"id": "10.1109/igarss.2018.8518170", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:18Z", "type": "Journal Article", "created": "2018-11-16", "title": "Sentinel-1 & Sentinel-2 for SOIL Moisture Retrieval at Field Scale", "description": "Soil moisture content is an essential climate variable that is operationally delivered at low resolution (e.g. 36-9 km) by earth observation missions, such as ESA/SMOS, NASA/SMAP and EUMETSAT/ASCAT. However numerous land applications would benefit from the availability of soil moisture maps at higher resolution. For this reason, there is a large research effort to develop soil moisture products at higher resolution using, for instance, data acquired by the new ESA's Sentinel missions. The objective of this study is twofold. First, it presents the validation status of a pre-operational soil moisture product derived from Sentinel-1 at 1 km resolution. Second, it assesses the possibility of integrating Sentinel-2 data and additional ancillary information, such as parcel borders and high resolution soil texture maps, in order to obtain soil moisture maps at 'field scale' resolution, i.e. similar to 0.1 km Case studies concerning agricultural sites located in Europe are presented.", "keywords": ["ASCAT", "high resolution", "13. Climate action", "0211 other engineering and technologies", "Sentinel-1", "SMAP", "02 engineering and technology", "Soil moisture content", "Sentinel-2", "15. 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The study analyzes a data set collected in 2017 over the Apulian Tavoliere agricultural site (Southern Italy). The data set includes: i) in situ data over more than 600 agricultural fields monitored during the 2017 winter and spring growing seasons; ii) time-series of S-1 IW VV & VH backscatter & interferometric coherence; iii) time series of S-1 SSM maps. The temporal behavior of S-1 coherence and VH backscatter has been assessed over the monitored agricultural fields. Initial results indicate a stronger sensitivity of S-1 coherence than VH backscatter to crop geometric structure. In addition, an analysis at site scale, conducted before and after an important rain event, indicates a change of SSM from 0.18 to 0.30 m3/m3 along with a change of S-1 coherence from 0.61 to 0.53.", "keywords": ["2. 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