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Implement forest structure estimation#927

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arnavk23 wants to merge 1 commit intocore-stack-org:mainfrom
arnavk23:feat/forest-structure-estimation-226
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Implement forest structure estimation#927
arnavk23 wants to merge 1 commit intocore-stack-org:mainfrom
arnavk23:feat/forest-structure-estimation-226

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@arnavk23
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@arnavk23 arnavk23 commented May 7, 2026

  • Create forest_structure module under computing app
  • Implement forest_structure_raster.py for annual NDVI-based classification
    • Generate raster at 30m resolution
    • Classify forest into dense (NDVI>0.6), open (0.3<NDVI<=0.6), scrub (NDVI<=0.3)
    • Support annual time series from Sentinel-2 and Landsat data
  • Implement forest_structure_vector.py for vectorization
    • Convert raster to field/MWS-level polygons using reduceToVectors()
    • Add attributes: year, class, area (ha), mean NDVI
  • Add API endpoints: forest_structure_raster and forest_structure_vector
  • Register endpoints in computing/urls.py
  • Add FOREST_STRUCTURE_RASTER constant to utilities/constants.py
  • Fixes Forest structure estimation (field level @30m) #226

- Create forest_structure module under computing app
- Implement forest_structure_raster.py for annual NDVI-based classification
  - Generate raster at 30m resolution
  - Classify forest into dense (NDVI>0.6), open (0.3<NDVI<=0.6), scrub (NDVI<=0.3)
  - Support annual time series from Sentinel-2 and Landsat data
- Implement forest_structure_vector.py for vectorization
  - Convert raster to field/MWS-level polygons using reduceToVectors()
  - Add attributes: year, class, area (ha), mean NDVI
- Add API endpoints: forest_structure_raster and forest_structure_vector
- Register endpoints in computing/urls.py
- Add FOREST_STRUCTURE_RASTER constant to utilities/constants.py
@arnavk23
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arnavk23 commented May 7, 2026

@ankit-work7 @amanodt @pawangramvaani Worked on one of the issues. Open to discussion or talk on any of the additions.

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Forest structure estimation (field level @30m)

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