Timbo's repositories
Lab1-Operational-SWE-Products
Explore and visualize operational SWE products. The AMSR-unified SWE product and the ERA-5 Near Real Time SWE product
Lab4-SWE-ML
Train, run, & visualize Random Forest machine learning models that predict SWE and compare to other methods
Lab-3-Decision-Support-Tools-SWE-Reconstruction-and-fSCA-analysis
Explore SWE reconstruction data and fractional snow cover maps over Afganistan
Lab2-SWE-EnergyBalanceModel
Surface energy balance model of the snow water equivalent in a snowpack for a single point using in-situ data and validation
ML
Machine learning SWE prediction example
SPIRES
Snow property inversion from remote sensing (SPIReS)
vhr-snow-mapper
produce validation grade 0.5m binary snow maps of viewable snow cover by pansharpening very high resolution (i.e. worldview 2/3) datasets and classifying semi-autonomously
RasterReprojection
Reprojects raster from a projected, geographic, or geolocated raster (2D or 3D) to a different projection or geographic raster, or to the same projection with a different cell size (there is no option for output geolocated raster). If you just want to use the code (rather than edit and create branch in github) I recommend installing using Raster Reprojection.mltbx.
RefractiveIndex
Complex refractive indices of ice, water, soot, or dust as a function of wavelength