2025-09-19, 11:00–11:45 (UTC), Aula Magna
The workshop will provide instructions on how to access and use OpenLandMap-soildb: a global 30-m spatial resolution dynamic soil database showing distribution of soil carbon, soil pH, soil texture fractions, bulk density and soil types (USDA subgroups); soil carbon, pH are modeled as dynamic soil properties with 5--year interval; soil texture fractions, bulk density and soil type as static variables. This is the first 30-m dynamic soildb with properties mapped through depth (0-30, 30-60, 60-100) and time. Two tutorials will be provided: (1) in R, and (2) in python. In both tutorials we will show how to list available layers, retrieve values per point or polygon and how to correctly use and interpret the values. The OpenLandMap-soildb data is available from https://stac.openlandmap.org. The tutorials will be made available via https://github.com/openlandmap/soildb.
To cite layers distributed via OpenLandMap-soildb please use:
Hengl, T., Consoli, D., Tian, X., Nauman, T. W., Nussbaum, M., Isik, M. S., Parente, L., Ho, Y.-F., Simoes, R., Gupta, S., Samuel-Rosa, A., Zborowski Horst, T., Safanelli, J. L., and Harris, N., (2025??). 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 Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2025-336, in review,
Open-Earth-Monitor Cyberinfrastructure (Grant agreement ID: 101059548)
Please provide URL that you plan to use to distribute your materials (if available). –
Tom Hengl is director at OpenGeoHub. He has backgrounds in pedometrics, environmetrics and spatial data science. Tom is the PI of the OEMC project.