Sentinel-1 Derived Snow Depths and SnowEx Lidar Netcdfs

These are netcdfs of S1 raw data, intermediate products, derived snow depths, ancillary data (IMS snow coverage, tree percentage) and lidar snow depths used in an analysis of the Lievens et al. (2021) algorithm.

9 sites - Banner 2020, Banner 2021, Cameron 2021, Dry Creek 2020, Fraser 2020, Fraser 2021, Little Cottonwood Canyon 2021, Mores 2020, Mores 2021

Data Variables:

s1 - sentinel 1 backscatter data. contains 3 bands - VV, VH, and incidence angle

ims - IMS snow coverage data (4 = snow covered, 2 = None) []

fcf - Forest coverage fraction [%]

deltaCR - change in the S1 cross ratio through time [dB]

deltaVV - change in S1 VV backscatter through time [dB]

deltaGamma - change in combined gamma variable [dB]

snow_index - snow index in dB that is converted to derived snow depth by C parameter [dB]

snow_depth - derived snow depth from S1 [m]

wet_flag - flagged for snow with -2dB of change in CR. 1 = wet, 0 = dry

alt_wet_flag - snow flagged by negative snow_index. 1 = wet 0 = dry

freeze_flag - snow flagged as refreezing by increase of 1 dB in CR

wet_snow - combined wet flag, alt wet flag, freeze flag, and previous time step's wet snow to get current wet snow flags

perma_wet - snow that is flagged as wet more than 50% of last four acquisitions after Feb 1

lidar-sd - Lidar derived snow depths [m]

lidar-vh - lidar derived vegetation heights [m]

lidar-dem - lidar derived snow free dems [m]

aspect - aspect in degrees from lidar-dem [°]

easting - degrees of easting from aspect[°]

north - degrees of northing from aspect[°]

confidence - unused metric of confidence