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deforestation-analysis

Data

Raw

Hansen data files are downloaded as needed to save memory. Hansen-Song data files require an account to access, so are not included in this public repo, but can be found here.

Clean

  • Aggregates of variables (e.g. loss, cover) by (country X tropics X year) for Hansen & Hansen-Song datasets
  • As above, but by (country X tropics X year X binned_cover) where binned_cover is tree cover binned into 0%, 1-25%, 26-50%, 51-75%, 76-100%

Scripts

Two main scripts process Hansen datasets:

  • DataClean.py (aggregates of variables)
  • DataCompress.py (compression of tiles for display in maps)

Both take significant time and memory to run, so are best run on a server. Both rely on supporting files

  • countryoutlines.py (GADM country outline loading & utils)
  • hansenhandler.py (Hansen dataset loading & utils)
  • tile.py (Coordinate-specific Hansen utils for latitude-longitude tiles of data)

Notebooks

Cleaning

  • combine_hansen_aggreates.ipynb
    • Combines tile aggregates, includes definition of forest threshold (50% tree cover)
  • combine_hansen_compressed.ipynb
    • Combines compressed tiles for use in map graph

Graphs

  • Graphs_Line.ipynb (up to date, open to edits)
  • Graphs_Map.ipynb (work in progress, open to edits but may be updated with new data)

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