40f2db67-d180-431f-b275-2b975c552d36 Dataset German Aerospace Center (DLR) geoservice@dlr.de 2025-10-16T09:07:24 19115-1:2014/19139 1.0 WGS 84 / World Mercator (EPSG:3395) EPSG 8.6 SoilSuite - Sentinel-2 - Africa, 4 year composite (2018-2021) 2025-04-15T00:00:00 https://geoservice.dlr.de/catalogue/srv/metadata/40f2db67-d180-431f-b275-2b975c552d36 DOI: 10.15489/xhihk9rkff04 The SoilSuite contains a collection of different image data products that provide information about the spectral and statistical properties of soils and other bare surfaces of three East-African countries (Rwanda, Kenya and Ethiopia). It is created using DLR's Soil Composite Mapping Processor (ScMAP), which utilises the Sentinel-2 data archive. SCMaP is a specialised processing chain for detecting and analysing bare soils/surfaces on a large (continental) scale. Bare surface and soil pixels are selected using a combined NDVI and NBR index (PVIR2) that optimises the exclusion of photosynthetically active and non-active vegetation. The index is calculated and applied for each individual pixel. All SoilSuite products are calculated based on the available Sentinel-2 scenes recorded between January 2018 and December 2021 in the target region. The data package excludes all scenes with a cloud cover of larger than 80 percent and a sun elevation of less than 20 degrees. The spectral composite products are calculated from the mean value after extensive removal of clouds, haze and snow effects at both scene and pixel level. The spectral data products are available at a pixel size of 20 m and contain 10 Sentinel-2 bands (B02, B03, B04, B05, B06, B07, B08, B08a, B11, B12). The SoilSuite comprises: (a) “Bare Surface Reflectance Composite – Mean” that provides the spectral properties of soils that vary due to different soil organic carbon (SOC) content, soil moisture and soil minerology. This product is often used for spectral and digital soil mapping approaches, (b) “Bare Surface Reflectance Composite - Standard deviation” informing about the spectral dynamic of bare surfaces and soils, (c) “Bare Surface Reflectance Composite – 95% Confidence” contains information about the reliability of the spectral information due to the number of valid observations per pixel, (d) “Bare Surface Statistics Product” provides the number of bare soil occurrences over the total number of valid observations (Band 1), the number of bare soil occurrences (Band 2) and the total number of valid observations (Band 3), (e) “Mask” is a product that aggregates simple landcover classes that occur during the time period between 2018 - 2021 (Sentinel-2). The three-class Mask contains bare surface occurrences (1), permanent vegetation (2) and other surfaces such as water bodies, urban areas, roads (3). Additionally, the SoilSuite provides (f) “Reflectance Composite – Mean” that represents the mean reflectance of all valid Sentinel-2 observations between 2018 – 2021 including vegetation, bare and other surfaces, and (g) “Reflectance Composite – Standard deviation”, which contains the standard deviation per band for all valid Sentinel-2 observations between 2018 – 2021. The SoilSuite Africa was produced as part of the Earth Observation-based derivation of soil information funded by the project 'Land, Soil and Crop Information Services (LSC-IS) to support Climate-Smart Agriculture (DeSIRA)'. LSC-IS is funded by the European Union through its DeSIRA program and the Netherlands' Ministry of Foreign Affairs, with a contribution from ISRIC - World Soil Information. German Aerospace Center (DLR) paul.karlshoefer@dlr.de German Aerospace Center (DLR) geoservice@dlr.de https://geoservice.dlr.de/catalogue/srv/api/records/40f2db67-d180-431f-b275-2b975c552d36/attachments/quicklook_desira_black_ql.jpg large_thumbnail https://geoservice.dlr.de/catalogue/srv/api/records/40f2db67-d180-431f-b275-2b975c552d36/attachments/quicklook_desira_black_ql_s.jpg thumbnail DLR EOC Land SCMaP Soil Sentinel-2 East-Africa Temporal Composites Soil Coverage Soil Composite Mapping Processor Reflectance Composite Surface Reflectance Composite Bare Soil Coverage Bare Soil Frequency opendata Soil GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.local.theme.inspire-theme National Spatial scope 2024-05-23 geonetwork.thesaurus.external.place.SpatialScope.en Nutzungseinschränkungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Use Limitations: DLR not liable for damage resulting from use. Nutzungsbedingungen: License, https://creativecommons.org/licenses/by/4.0/ License Nutzungsbedingungen: License, https://creativecommons.org/licenses/by/4.0/ {"id": "cc-by/4.0", "name": "Creative Commons Namensnennung – 4.0 International (CC BY 4.0)", "url": "http://dcat-ap.de/def/licenses/cc-by/4.0", "quelle": "Copyright DLR (year of production)"} 40000 eng geoscientificInformation 28.80 48.19 -5.51 15.37 2018-01-01T00:00:00 2021-12-31T23:59:59 https://doi.org/10.1016/j.rse.2017.11.004 WWW:LINK-1.0-http--link Scientific publication Scientific publication on the Soil Composite Mapping Processor (SCMaP) https://doi.org/10.3390/rs14184526 WWW:LINK-1.0-http--link Scientific publication Scientific publication on Soil Reflectance Composites https://doi.org/10.1016/j.geoderma.2025.117340 WWW:LINK-1.0-http--link Scientific publication Scientific publication on Soil Reflectance Composites https://download.geoservice.dlr.de/SOILSUITE/files/AFRICA_4Y/ WWW:LINK-1.0-http--link EOC Download Service EOC Download Service https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/S2-soilsuite-africa-2018-2021-P4Y WWW:LINK-1.0-http--link EOC STAC Collection EOC STAC Collection https://geoservice.dlr.de/eoc/land/wms?SERVICE=WMS&REQUEST=GetCapabilities OGC:WMS-http-get-capabilities https://geoservice.dlr.de/web/datasets/soilsuite_afr_4y WWW:LINK-1.0-http--link EOC Geoservice Dataset EOC Geoservice Dataset https://download.geoservice.dlr.de/SOILSUITE/files/AFRICA_4Y/000_Data_Overview/SoilSuite_Data_Description_Africa_V1.pdf WWW:LINK-1.0-http--link Data Description SoilSuite Europe Data Description (pdf) https://geoservice.dlr.de/eoc/land/wms? OGC:WMS SOILSUITE_MASK_AFR_P4Y SoilSuite – Mask, Africa https://geoservice.dlr.de/eoc/land/wms? OGC:WMS SOILSUITE_MREF-STD_AFR_P4Y SoilSuite – Reflectance Composite – Standard deviation, Africa https://geoservice.dlr.de/eoc/land/wms? OGC:WMS SOILSUITE_MREF_AFR_P4Y SoilSuite – Reflectance Composite, Mean - Africa https://geoservice.dlr.de/eoc/land/wms? OGC:WMS SOILSUITE_SFREQ-BSC_AFR_P4Y SoilSuite – Bare surface count, Africa https://geoservice.dlr.de/eoc/land/wms? OGC:WMS SOILSUITE_SFREQ-BSF_AFR_P4Y SoilSuite – Bare surface frequency, Africa https://geoservice.dlr.de/eoc/land/wms? OGC:WMS SOILSUITE_SFREQ-VPC_AFR_P4Y SoilSuite – Valid pixel count, Africa https://geoservice.dlr.de/eoc/land/wms? OGC:WMS SOILSUITE_SRC-CI95_EUR_P4Y SoilSuite – Bare Surface Reflectance Composite – 95% Confidence, Africa https://geoservice.dlr.de/eoc/land/wms? OGC:WMS SOILSUITE_SRC-STD_AFR_P4Y SoilSuite – Bare Surface Reflectance Composite - Standard deviation, Africa https://geoservice.dlr.de/eoc/land/wms? OGC:WMS SOILSUITE_SRC_AFR_P4Y SoilSuite – Bare Surface Reflectance Composite – Mean, Africa Conformity_001 INSPIRE Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 See the referenced specification. true As input data, all Sentinel-2 images from March 2018 to December 2022 over larger Europe in L1C data format are used. All scenes with a cloud cover of larger than 80 % and a sun elevation of lower than 20° were excluded. The data has been transferred from L1C to L2A bottom of atmosphere reflectance (BOA) using the MAJA algorithm by considering the terrain correction. The resulting data stack is then reduced to 10 bands and resampled to 20 m pixel size using the bilinear resampling. For further information on the processing steps of the SoilSuite products, please see the linked publications. SCMaP is a specialised processing chain for detecting and analysing bare soils/surfaces on a large (continental) scale. Bare surface and soil pixels are selected using a combined NDVI and NBR index (PVIR2) that optimises the exclusion of photosynthetically active and non-active vegetation. The index is calculated and applied for each individual pixel. The spectral composite products are calculated from the mean value after extensive removal of clouds, haze and snow effects at both scene and pixel level. The spectral data products are available at a pixel size of 20 m and contain 10 Sentinel-2 bands (B02, B03, B04, B05, B06, B07, B08, B08a, B11, B12).