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Covariate datasets used to predict soil property distribution in EJP Soil mapping

Name: Covariate datasets used to predict soil property distribution in EJP Soil mapping
Keywords: Europe, Soil sciences, Land cover, Lithology, Altitude, Solar radiation, Temperature, Atmospheric precipitation, Surface runoff

Research datakeyboard_double_arrow_right Dataset 01 Jan 2025Embargo end date: 29 Feb 2024 European Union, Netherlands English Publisher:ISRIC - World Soil InformationFunded by:EC | EJP SOIL

Authors: Poggio, Laura; Ruiperez Gonzalez, Maria; van Egmond, Fenny;

doi: 10.5281/zenodo.14773242 , 10.5281/zenodo.14773241

Covariate datasets used to predict soil property distribution in EJP Soil mapping

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Abstract

These datasets were prepared within the scope of the EJP SOIL programme. The datasets are extracted from different sources, clipped and reprojected to EPSG:3035. The sources are listed in the table below. The datasets were used as environmental layers to prodict soil property distribution (soil maps) at National and continental level within the EJP SOIL programme. Dataset sources: Copernicus Climate Data Store https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land-monthly-means?tab=overview RESOLVE Biodiversity and Wildlife Solutions https://ecoregions2017.appspot.com/ Copernicus Land Monitoring Service https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/ European Union/ESA/Copernicus https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/ GLiM - Global Lithological Map https://www.geo.uni-hamburg.de/en/geologie/forschung/aquatische-geochemie/glim.html

Countries

European Union, Netherlands

Related Organizations

Wageningen University & Research
Netherlands

Keywords

Europe, Soil sciences, Land cover, Lithology, Altitude, Solar radiation, Temperature, Atmospheric precipitation, Surface runoff

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Funded by

EC| EJP SOIL

Related to Research communities

Energy Research

Netherlands Research Portal

Italian National Biodiversity Future Center