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modis-dataset

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Predicting urban heat island for the city of Pune using MODIS LST, PM2.5 and GLC_FCS30D Landcover dataset. The neural network consists of three covolution streams and attention unet for feature fusion and UHI map creation.

  • Updated Nov 28, 2025
  • Jupyter Notebook

Unsupervised K-Means clustering of 198 BBMP wards into four climate-vulnerability archetypes, derived from satellite measurements of surface temperature, urbanisation, vegetation, and water-body proximity. Independently corroborates the cool-roof prioritisation produced by the companion supervised UHI model.

  • Updated May 28, 2026
  • Python

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