|LabSkill=Learn to use two methods to download the soil property datasets with a given bounding box.
|LabSkill=Learn to use an application programming interface (API) to access SoilGrids data.
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{{LabLearningObjectivesSkills
{{LabLearningObjectivesSkills
|LabSkill=Learn to get the SoilGrids map service detailed information.
|LabSkill=Learn to get the SoilGrids map service information.
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{{LabLearningObjectivesSkills
{{LabLearningObjectivesSkills
|LabSkill=Learn to download soil datasets for variables such as silt content, clay content, sand content, etc.
|LabSkill=Learn to use Basic Model Interface to access SoilGrids data and metadata.
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{{LabNotes
{{LabNotes
|LabNotesInstructions=Instead of downloading the lab Notebook and running it locally, you can run it on Binder. To start the binder, click the link under the "Run online" item in the grey table at the top of this lab. It may take several minutes to launch the Binder.
|LabNotesInstructions=This lab can be run on the lab (for educators) and jupyter (for general use) instances of the OpenEarthscape JupyterHub: just click one of the links under the Run online using heading at the top of this page, then run the notebook in the "CSDMS" kernel.
|LabNotesRequirements=If run locally, this lab requires the installation of soilgrids package. Please see details at https://github.com/gantian127/soilgrids/
If you don't already have a JupyterHub account, follow the instructions to sign up at https://csdms.colorado.edu/wiki/JupyterHub. If you're an educator, you can get JupyterHub accounts for students--please contact us through the CSDMS Help Desk: https://csdms.github.io/help-desk.
|LabNotesRequirements=If run locally, see instructions at https://github.com/gantian127/soilgrids/
|LabAcknowledgements=This work is supported by the National Science Foundation under Award No. 2026951, EarthCube Capabilities: Cloud-Based Accessible and Reproducible Modeling for Water and Sediment Research.
}}
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{{LabReferences
{{LabReferences
|LabReferences=Tucker, G. E., Hutton, E. W. H., Piper, M. D., Campforts, B., Gan, T., Barnhart, K. R., Kettner, A. J., Overeem, I., Peckham, S. D., McCready, L., and Syvitski, J., 2022: CSDMS: a community platform for numerical modeling of Earth surface processes, Geosci. Model Dev., 15, 1413–1439, https://doi.org/10.5194/gmd-15-1413-2022.
|LabReferences=Tucker, G. E., Hutton, E. W. H., Piper, M. D., Campforts, B., Gan, T., Barnhart, K. R., Kettner, A. J., Overeem, I., Peckham, S. D., McCready, L., and Syvitski, J., 2022: CSDMS: a community platform for numerical modeling of Earth surface processes, Geosci. Model Dev., 15, 1413–1439, https://doi.org/10.5194/gmd-15-1413-2022.
Tian Gan at INSTAAR - University of Colorado Boulder.
Introduction
soilgrids package (https://github.com/gantian127/soilgrids) provides a set of functions that allow downloading of the global gridded soil information from SoilGrids https://www.isric.org/explore/soilgrids, a system for global digital soil mapping to map the spatial distribution of soil properties across the globe.
soilgrids package includes a Basic Model Interface (BMI), which converts the SoilGrids dataset into a reusable, plug-and-play data component for Community Surface Dynamics Modeling System (CSDMS) modeling framework.
Classroom organization In this lab, you will learn how to use the soilgrids package to download the soil property datasets for data visualization. You will explore the SoilGrids map services and write your own code to download multiple soil datasets.
Learning objectives Skills
Learn to use an application programming interface (API) to access SoilGrids data.
Learn to get the SoilGrids map service information.
Learn to use Basic Model Interface to access SoilGrids data and metadata.
Key concepts
CSDMS data component
Lab notes This lab can be run on the lab (for educators) and jupyter (for general use) instances of the OpenEarthscape JupyterHub: just click one of the links under the Run online using heading at the top of this page, then run the notebook in the "CSDMS" kernel.
Acknowledgements This work is supported by the National Science Foundation under Award No. 2026951, EarthCube Capabilities: Cloud-Based Accessible and Reproducible Modeling for Water and Sediment Research.
References
Tucker, G. E., Hutton, E. W. H., Piper, M. D., Campforts, B., Gan, T., Barnhart, K. R., Kettner, A. J., Overeem, I., Peckham, S. D., McCready, L., and Syvitski, J., 2022: CSDMS: a community platform for numerical modeling of Earth surface processes, Geosci. Model Dev., 15, 1413–1439, https://doi.org/10.5194/gmd-15-1413-2022.