Lab-0019

SoilGrids Data Component

Model
SoilGrids Data Component

Duration
1.0 hrs

Updated
2022-04-19

Download
download

Run online using:

Lab

Contributor(s)

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.

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.

Requirements
If run locally, see instructions at https://github.com/gantian127/soilgrids/

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.
Gan, T., Tucker, G.E., Hutton, E.W.H., Piper, M.D., Overeem, I., Kettner, A.J., Campforts, B., Moriarty, J.M., Undzis, B., Pierce, E., McCready, L., 2024: CSDMS Data Components: data–model integration tools for Earth surface processes modeling. Geosci. Model Dev., 17, 2165–2185. https://doi.org/10.5194/gmd-17-2165-2024