Python package with tools for processing snow property information from remote sensing sources.
Use the supplied environment.yml file to set up a Python environment with
conda to run or develop utilities.
conda env create -f environment.ymlgit clone [email protected]:UofU-Cryosphere/snow-rs.git
cd snow-rs
python -m pip install .git clone [email protected]:UofU-Cryosphere/snow-rs.git
cd snow-rs
python -m pip install -e .Uses Dask to parallelize extraction on daily basis.
Contains a converter utility to extract MODIS gap-filled values for a given variable. The source files are expected to as unprojected Matlab files.
variable_from_modis --source-dir /data/MODIS_files \
--output-dir /your/output/dir \
--year 2018 \
---year-format water \
--t-srs EPSG:4326 \
--variable albedo_observed_muZThe package data dir includes the WesternUS.tif template file used to create the projected GeoTiff results. It is installed automatically with the package.