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cropland-mapping

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HydroMST

Official code: "Integrating Segment Anything Model derived boundary prior and high-level semantics for cropland extraction from high-resolution remote sensing images

  • UpdatedMar 14, 2025
  • Python

Public repository of our work in the search for an optimal multi-view crop classifier (considering encoder architectures and fusion strategies)

  • UpdatedDec 18, 2024
  • Python

Current available solutions eg #WorldCover apply inconsistent "cropland" definitions from #FAOSATA’s and are rarely up to date. This work focused on building cost effective classification for cropland mapping for #Sudan, #Iran & #Afghanistan regions. For Afghanistan we focused on temporal classification while for the rest year-long classification

  • UpdatedDec 5, 2023
  • Jupyter Notebook

Exploring and detecting farm plots in KAZA in collaboration with WWF Germany's Space+Science Team

  • UpdatedMay 7, 2024
  • Jupyter Notebook

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