This mini-project introduces HeatSpot, an interactive approach to exploring heat islands. Integrates urban vegetation, land surface temperature (LST), and MODIS-based air pollution data.
Using publically available data from NASA EarthData, NASA_data.py enables users to download land surface temperature (LST) data directly from NASA Earth Data. Users must have an active account in order to successfully download data. Extracted data spans both night and day LST across both Aqua and Terra satellites.
Similarly, publically available data (Sentinel-2 imagery) from Google Earth Engine, using GoogleEarth_data.py, can be downloaded. Users must have an active Google Cloud account, have an active project, and must enable the Earth Engine API. The extracted data has raw data files (i.e., csv) and tif files of B2, B4, B6, and B8 spectral bands, in addition to EVI, NDVI, and NDWI datasets.
Using the python script export_HDF.py enables users to convert GEOTiff files into raw data files (i.e., csv).