M5: Open Science for Crop Conditions

How can NASA datasets be used to map crop conditions?

The fifth module of our open climate-science curriculum focuses on how to begin a reproducible computational science project, using crop conditions as a thematic example. At the end of this module, you should be able to:

• Access and utilize satellite-based datasets on plant productivity, condition, and evapotranspiration.
• Understand how plants link between the carbon and water cycles through photosynthesis and evapotranspiration.

Getting Started

See our installation guide here.

You can run the notebooks in this repository using Github Codespaces or as a VSCode Dev Container. Once your container is running, launch Jupyter Notebook by:

# Create your own password when prompted
jupyter server password

# Then, launch Jupyter Notebook; enter your password when prompted
jupyter notebook

The Python libraries required for the exercises can be installed using the pip package manager:

pip install xarray netcdf4 dask

Acknowledgements

This curriculum was enabled by a grant from NASA's Transition to Open Science (TOPS) Training program (80NSSC23K0864), part of NASA's TOPS Program