Project

Machine-Learning Land-Use Classification from Sentinel Imagery

Statistical analysis and CNN-based land-use classification of the Tha Chin River Basin from Sentinel-1 radar and Sentinel-2 optical imagery, packaged as an automated daily pipeline.

Client
Hydro-Informatics Institute (HII)
Year
2024
Machine-Learning Land-Use Classification from Sentinel Imagery
  • Automated download and preprocessing from the Copernicus Data Space.
  • CNN classification in PyTorch; database and web display with LINE status alerts.
  • Delivered as a Docker-based system for sustainable flood management planning.
Two-step versus one-step classification for 2021, by seasonal period.
Two-step versus one-step classification for 2021, by seasonal period.
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