muon-gnssr-soil-moisture-product-intro

Very simple jupyter-based introduction to the Muon Space GNSS-R soil moisture products.

Tested on macOS (Sonoma 14.3.1)

REQUIRES python3 >=3.12:

Instructions

download dataset from Zenodo(~150GB compressed)
unzip in desired local data directory
git clone repo
cd into repo
run make venv to build the project
run make notebooks to launch the jupyter session
open Loading and Visualization of Muon GNSS-R Soil Moisture Products.ipynb
change path_to_zenodo_directory to local data directory path then have fun exploring the data files!

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
notebooks		notebooks
.gitignore		.gitignore
LICENSE		LICENSE
Makefile		Makefile
README.md		README.md
pyproject.toml		pyproject.toml