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saiga143 / urban-change-google-25d

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Python and Google Earth Engine workflows for detecting and classifying urban change using Google’s Open Buildings 2.5D Dataset, with a focus on informal settlements in Nairobi. Includes scripts for processing, typology classification, slum-level validation prep, and city-scale spatial analysis.

remote-sensing spatial-analysis nairobi informal-settlements earth-observation building-footprints urban-change-detection google-25d slum-mapping
  • Updated May 26, 2025
  • Jupyter Notebook

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