A collection of tools for processing and analyzing snow data

• Automated querying and processing of SNOTEL data from CUAHSI database
• Processing and analysis of NASA SnowEx campaign data
• Automated retrieval and processing of MODSCAG fracitonal snow-covered area (fSCA) products
• Automated retrieval and processing of SNODAS model snow depth

• get_snotel.py - retrieve SNOTEL data for a given input extent (e.g., raster snow depth map from ΔDEM)
  • Note: can use compute_dz.py in demcoreg repo to compute snow depth from two arbitrary input DEMs (e.g. LiDAR, SfM, satellite stereo)
• swe.py - convert snow depth raster to snow water equivalent (SWE)
• get_modscag.py - extract MODSCAG fSCA for a given date to match another raster (e.g. LS8 image, DEM)
• get_snodas.py - extract SNODAS model snow depth for a given date to match another raster (e.g. LS8 image, DEM)

• Implement multiple snow models (e.g., Sturm et al. [2010]) to estimate density for arbitrary location and timestamp

• pygeotools

• ulmo