APA (7th ed.) Citation

Hengl, T., Consoli, D., Tian, X., Nauman, T. W., Nussbaum, M., Isik, M., . . . Harris, N. (2026). 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. Earth System Science Data, 18(2), 989. https://doi.org/10.5194/essd-18-989-2026

Chicago Style (17th ed.) Citation

Hengl, Tomislav, et al. "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." Earth System Science Data 18, no. 2 (2026): 989. https://doi.org/10.5194/essd-18-989-2026.

MLA (9th ed.) Citation

Hengl, Tomislav, et al. "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." Earth System Science Data, vol. 18, no. 2, 2026, p. 989, https://doi.org/10.5194/essd-18-989-2026.