tanmay-delhikar/satellite-image-analysis-ml
Satellite image classification using multiple machine learning algorithms
This tool helps urban planners, environmental researchers, and geospatial analysts automatically classify satellite imagery from Sentinel-2 or Landsat-8. It takes raw satellite image folders as input and generates detailed maps of built-up areas, population density, and human settlement models, aiding in urban development tracking and environmental impact assessments.
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Use this if you need to analyze large batches of satellite images to map human settlements and population distribution across wide geographical areas.
Not ideal if you require real-time analysis of single images or are working with satellite data from sources other than Sentinel-2 or Landsat-8.
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Language
Python
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Last pushed
Mar 12, 2021
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