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OpenLandMap-soildb: global soil information at 30 m spatial resolution for 2000–2022+ based on spatiotemporal Machine Learning and harmonized legacy soil samples and observations.

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Bibliographic Details
Title: OpenLandMap-soildb: global soil information at 30 m spatial resolution for 2000–2022+ based on spatiotemporal Machine Learning and harmonized legacy soil samples and observations.
Authors: Hengl, Tomislav1 (AUTHOR) tom.hengl@opengeohub.org, Consoli, Davide1 (AUTHOR) davide.consoli@opengeohub.org, Tian, Xuemeng1 (AUTHOR) xuemeng.tian@opengeohub.org, Nauman, Travis W.2 (AUTHOR) travis@naumangeospatial.com, Nussbaum, Madlene3 (AUTHOR) madlene.nussbaum@bfh.ch, Isik, Mustafa Serkan1 (AUTHOR) serkan.isik@opengeohub.org, Parente, Leandro1 (AUTHOR) leandro.parente@opengeohub.org, Ho, Yu-Feng1 (AUTHOR) yu-feng.ho@opengeohub.org, Simoes, Rolf1 (AUTHOR) rolf.simoes@opengeohub.org, Gupta, Surya4 (AUTHOR) surya.gupta@unibas.ch, Samuel-Rosa, Alessandro5 (AUTHOR) alessandrorosa@utfpr.edu.br, Horst, Taciara Zborowski6 (AUTHOR) taciaraz@utfpr.edu.br, Safanelli, José Lucas7 (AUTHOR) jsafanelli@woodwellclimate.org, Harris, Nancy8 (AUTHOR) nharris@wri.org
Source: Earth System Science Data Discussions. 6/24/2025, p1-66. 66p.
Database: Academic Search Ultimate
Description
ISSN:18663591
DOI:10.5194/essd-2025-336