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This app uses the Google Maps API in tandem with the NASA API to fetch the most recent LANDSAT 8 image of any location (address, city, state, country, landmark, etc.). The LANDSAT 8 satellite takes pictures of the entire earth every 16 days.
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.
This APP is necessary to evaluate the quality of the class representative samples and determine the classes with ambiguous boundaries in feature space, where poor classification accuracy is expected.
NASA's visualization challenge project of the dynamic climate trends in the Los Glaciares National Park, Argentine. Leveraging Landsat 8/9 imagery from 2013 to 2024, the visual highlights warming temperatures and diminishing snow cover percentage.
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