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SoilSuite Europe

Heiden, Uta; d'Angelo, Pablo; Karlshoefer, Paul; Schwind, Peter; van Egmond, Fenny; Poggio, Laura

Abstract

This poster presents the SoilSuite, a European-wide data package containing a collection of different image data products that provide information about the spectral and statistical properties of the European soils and other bare surfaces such as rocks. It is created using DLR's Soil Composite Mapping Processor (SCMAP), which utilises the Sentinel-2 data archive. The SoilSuite is available on a free and open basis (License: CC-BY-4.0) and has been used already in various projects such as ESA’s WorldSoils, German CopGrün project, the EU MRV4SOC project and by partners from the commercial and administrative sector. It is a valuable input data source for European soil property mapping and thus, serves for the monitoring of the health of the European soils. SCMaP is a specialized processing chain for detecting and analyzing bare soils/surfaces on a large (continental) scale. Bare surface and soil pixels are selected using a combined NDVI and NBR index (PVIR2) that optimizes the exclusion of photosynthetically active and non-active vegetation. All SoilSuite products are calculated based on the available Sentinel-2 scenes recorded between January 2018 and December 2022 in Europe.

Full text

SoilSuite Europe Uta Heiden1, Pablo d‘Angelo1, Paul Karlshöfer1, Peter Schwind1, Fenny van Egmond2, Laura Poggio2 (1) DLR Oberpfaffenhofen (DLR), Earth Observation Center (EOC), Germany, (2) ISRIC –World Soil Information, Wageningen, The Netherlands The SoilSuite contains a collection of different image data products that provide information about the spectral and statistical properties of European soils and other bare surfaces such as rocks. It is created using DLR's Soil Composite Mapping Processor (ScMAP), whichutilisestheSentinel-2dataarchive. Data availability: The SoilSuite has been published in December 2024 under the license CC-BY-4.0. The data is available on a free and open bases from two platforms. The platforms provide several web services and the download capability. Further, the datais describedby STACmetadata. SoilSuiteData Base •Sentinel-2 •2018 –2022 •< 80 % cloud cover •> 20°sun elevation •20 m pixel size •1145 MGRS tiles •445806 Sentinel-2 scenes Bare Surface Mask Bare Surface Reflectance Composite (Mean) Bare Surface Reflectance Composite (Std Dev) Bare Surface Reflectance Composite (95% Conf.) Reflectance Composite (Mean) Reflectance Composite (Std Dev) Bare Surface Frequency [%] Bare Surface Count Valid Pixel Count Bare surface occurrence Permanent vegetation Other surfaces 0.0 0.4 1 50 1 300 Soil Composite Mapping Processor (SCMaP) •SCMaPprocessor deployed at DLR’s terabyte HPC platform •Bare surface / soil detection using a spectral index threshold approach (1Rogge et al., 2018; 2Heiden et al., 2022) •Histogram SEparationThreshold (HISET) method for automatedthreshold definition (2Heiden et al., 2022, 3Karlshöfer et al., 2025) •Enables regionalized threshold definition taken into account the biogeographic conditions of the various regions across Europe •Index evaluation results in the combined NDVI+NBR index as the best choice for Europe (3Karlshöfer et al., 2025) Monitoring Carbon Stocks at regional scale •Digital soil mapping approach •SoilSuite: Bare soil reflectance composite (Mean) used •SoilSuite: Bare soil frequency used •0 = no bare soil in 5 years •0,5 = 50% bare soils in 5 years •ESA WorldSoils project •Soil organic carbon content [dg/kg] •50 m (regional), 100 m (global) Supporting the monitoring of regenerative agriculture practice Preoperational system for the monitoring of soil organic carbon content in top soils Products Methods Application This work is supported by the European Union’s Caroline Herschel Framework Partnership Agreement on Copernicus User Uptake under grant agreement No FPA 275/G/GRO/COPE/17/10042, project FPCUP (Framework Partnership Agreement on Copernicus User Uptake), Action 2020-2-14: "High-resolution soil property service development for National and European soil carbon reporting”. 1 https://doi.org/10.1016/j.rse.2017.11.004 2 https://doi.org/10.3390/rs14184526 3Karlshöfer et al., Geoderma, (accepted)