A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.
R package for surface energy balance and crop coefficient evapotranspiration (ET) from satellite and thermal imagery: SEBAL, METRIC, SEBI, SSEB, SEBS and Two-Source (TSEB) models integrated with the FAO-56 water balance for single and dual crop coefficients (Kc).
Extracts data from one or more landSAF LST HDF5s, resamples them, stacks them, and adds them to a new netCDF4.
Land surface temperature and NDVI from a Landsat 8 scene with ArcPy (2024)
Quick data visualisation of thermal data for airborne campaign planning
GRASS GIS shell scripts for satellite image analysis of Landsat TM/ETM+ over Qingdao, China (2004, 2009): land-surface-temperature via r.mapcalc, colour composites via d.rgb, slope/aspect/curvature via r.slope.aspect, plus DEM and image fusion. Figures for Lemenkova, Tehnicki vjesnik 2022, 29(6):1956-1963.
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