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Satellite Imagery Analysis in Python Part II: GOES-16 Land Surface Temperature (LST) Manipulation
Satellite Imagery Analysis in Python Part II: GOES-16 Land Surface Temperature (LST) Manipulation

For part II, the focus shifts from the introduction of file formats and libraries to the geospatial analysis of satellite images. Python will again be used, along with many of its libraries. Land Surface Temperature will again be used as the data information, along with shapefiles used for geometric boundary setting, as well as information about buildings and land cover produced by local governments - all of which are used in meteorological and weather research and analyses.

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Data Analysis, Engineering, GIS, Python, ProgrammingJoshua HriskoGOES-R Lat/Lon, GOES-R Data, GOES-R Radiance, GOES-R Latitude and Longitude, GOES-R, GOES-R Satellite, GOES-R LST, GOES-R netCDF, GOES-16 Satellite, GOES-16 LST, GOES-16 Python, GOES-16 Shapefile, Python Shapefile, Python Latitude, Python Satellite, Python GOES-R Satellite, Python GOES-16, Shapefile, Python LST, Python Data, Python Data Analysis, LST, Land Surface Temperature, Python Temperature, Python City, Python Errorbars, Satellite, Satellite Analysis, Satellite Python, Satellite Data, Satellite Imagery, Python Image, Python Image Processing, Python Satellite ImageryComment