Land Surface Temperature from Landsat on Google Earth Engine
This is the github repository for the article: Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution
Practical split-window algorithm estimating Land Surface Temperature from Landsat 8 OLI/TIRS imagery
A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc). Project under World Bank Group. ⬇️ ⬇️
Extracts data from one or more landSAF LST HDF5s, resamples them, stacks them, and adds them to a new netCDF4.
This is fast-response software package for environmental applications
Ground stations - satelite data comparison using low-cost temperature sensors and MODIS Land Surface Temperature data
This repository contains the Python codes used in the short paper "Sensitivity of Land Surface Temperature to Emissivity Retrieved from Landsat 8 Data", submitted to the XXIV Brazilian Symposium on GeoInformatics.
Figuring out what the hottest villages in Kerala are with the help of Microsoft's Planetary Computer
Contains python notebooks used for clipping of satellite data using Geojson AOI, calculating LST from Landsat 8 Images and Correlation analysis between CO and LST
Python package to estimate Land Surface Temperatures from Google Earth Engine's Landsat imagery
Heat vulnerability of ZCTAs within the Boston Metropolitan Region based on demographic and environmental indicators.
Plugin QGIS SPT provides you for estimating land surface temperature (LST) using split-window algorithm (SWA) Qin for Landsat 8.
Image-to-Image Training for Spatially Seamless Air Temperature Estimation with Satellite Images and Station Data
Convert Raw Landsat Data from Digital Number to Surface Reflectance using the Visible Infra-red bands and composite (band stacking) the scene bands. Estimate LST from thermal bands
Global MODIS NDVI and LST python image display and 20+ year time-series analysis program
Online version of a training manual for reading netcdf GOES-16 LST data in MATLAB.
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