Code needed for hybrid land cover change analysis for NASA IDS project

Overview

Documentation for the NASA IDS change analysis

  • Poley 10/21/2021

Required python packages:

  • whitebox
  • numpy
  • rasterio
  • rasterio.mask
  • os
  • glob
  • math
  • itertools
  • fiona

Processing steps:

  1. Reclassify land cover change for year 1 and 2 into IDS change classes:
    • 1 = urban
    • 2 = suburban
    • 3 = barren
    • 4 = agriculture
    • 5 = grasslands
    • 6 = deciduous
    • 7 = evergreen
    • 8 = shrubs
    • 9 = woody wetlands
    • 10 = non-woody wetlands
    • 11 = aquatic bed
    • 12 = water
  2. Run 'categorical_change.py'
  3. Run 'clump.py' on categorical change
  4. Run 'tile_raster.py' - run output of 'clump.py' - run input CVA raster from Google Earth engine
  5. Run 'zonal_stats_raster.py'
  6. Run 'unique_class_combinations.py'
  7. Manually set radiometric change thresholds for each available change class within categorical change product. look around image real identifiable change, observe mean radiometric change values from 'zonal_stats_raster.py'.
  8. Run 'CVA_threshold.py'
  9. Run 'mosaic_tiles.py'
  10. Manually check outputs from hybrid change results and modify thresholds as needed. Repeat this process several of times.

Notes:

  • Images MUST have the same number of rows & columns to run scripts
  • It can be helpful to mosaic output of 'zonal_stats_raster.py' to observe mean radiometric change when determining change thresholds.
Owner
Andrew Poley
Andrew Poley
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