Assessing Eolian Snow Redistribution in Din-Gad Catchment, Central Himalaya, using Remote Sensing and Modelling

This directory contains files related to the MSc graduation research project of Luc van Dijk of the Department of Physical Geography, Utrecht University. The project is titled "<em>Assessing Eolian Snow Redistribution in Din-Gad Catchment, Central Himalaya, using Remote Sensing and Modelling</em>" and was completed on April 14, 2023. Below is a description of the files in this directory. <strong>Satellite_imagery.zip</strong><br> Folder containing all the pre-processed satellite images, that were exported from Google Earth Engine. Additional to the standard image bands, the bands 'NDSI', 'SC' and 'ASI' are present. These describe the Normalized Difference Snow Index, the Snow Cover and the Avalanche Susceptibility Index, respectively. The Google Earth Engine pre-processing script can be found here: https://code.earthengine.google.com/b7fe3ca48de410c9a3fff842f88a1e7f <strong>SPHY_output_SnowStorage.zip</strong><br> Folder containing the SPHY output maps (variable: SnowStorage in mm) of the study domain. <strong>SRCM.py</strong><br> The python-based Snow Redistribution Classification Model. <strong>SRCM_output.zip</strong><br> Folder containing the SRCM output files. Each file has 8 bands: (1) snowmelt, (2) snow removal by avalanching, (3) eolian snow removal, (4) unexplained snow removal, (5) snowfall, (6) snow deposition by avalanching, (7) eolian snow deposition, (8) unexplained snow deposition. <strong>SRCM_output_aggregated_wind_heatmaps.zip</strong><br> Folder containing the results of SRCM_output.zip, but only bands 3 and 7 and aggregated per month. <strong>WindNinja_output_resampled.zip</strong><br> Folder containing the wind fields that were downscaled from ERA5-Land data using WindNinja. The wind fields were converted from vector (speed, direction), to 2-band raster layers (speed, direction) and resampled from 100 m to 30 m resolution.