claude_process_log.txt

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SSR Repository Modernization - Process Log
Date: 2026-03-18
Session: Claude Code (claude-sonnet-4-6)
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TASK OVERVIEW
-------------
Modernize the SSR (Subcanopy Solar Radiation) Python codebase per instructions
in Claude.md:
  1. Scan the repository and assess dependencies
  2. Add a .gitignore file
  3. Update Python to current version (2.x -> 3.x)
  4. Replace GRASS GIS commands with WhiteboxTools
  5. All output rasters in TIFF format with LZW compression


================================================================================
STEP 1: REPOSITORY SCAN
================================================================================

Files analyzed:
  ssr_params.py         - Central configuration (all scripts import this)
  ssr_utilities.py      - GRASS session management and common helpers
  ssr_lidar.py          - LiDAR point cloud import and rasterization
  ssr_lpi.py            - Light Penetration Index calculation
  ssr_rsun.py           - Solar radiation preprocessing and modeling
  ssr_algore.py         - Final SSR algorithm combining LPI + solar outputs
  grass_make_canopy_dem.py    - Standalone canopy DEM tool (GRASS 6.4.4)
  grass64_make_canopy_dem.py  - Standalone canopy DEM tool (GRASS 6.4)
  ssr_test_dilation.py        - Incomplete test/development file

Support files:
  albedo_recode.txt           - Recode table: veg height -> albedo value
  lpi_box18x18_weight1-4.txt  - 17x17 neighborhood weight kernels

Findings:
  - Python version: 2.6-2.7 (circa 2011-2015)
  - GRASS GIS version: 6.4.4 (hardcoded, end-of-life)
  - 28+ GRASS commands spread across 7 Python files
  - 5+ print statements (Python 2 syntax) that fail in Python 3
  - Hardcoded paths: /usr/lib64/grass-6.4.4, /data/grass_workspace
  - r.mapcalculator used in ssr_lpi.py (deprecated even in GRASS 7)
  - Syntax error in grass_make_canopy_dem.py line 58 (unmatched parenthesis)
  - ssr_test_dilation.py: 1D array with 2D index (bug), incomplete
  - No .gitignore file

GRASS commands found and their replacements:
  r.in.xyz          -> numpy-based XYZ point binning
  r.patch           -> rasterio.merge
  r.resample        -> rasterio bilinear resampling
  r.mapcalc         -> numpy array operations
  r.mapcalculator   -> numpy array operations (was already deprecated)
  r.neighbors       -> scipy.ndimage.convolve (with weight file kernel)
  r.slope.aspect    -> wbt.slope() + wbt.aspect()
  r.recode          -> custom apply_recode() using albedo_recode.txt
  r.sun             -> pvlib Ineichen clear-sky solar radiation model
  r.null            -> numpy np.where / np.nan
  r.colors          -> removed (visualization only, not needed for analysis)
  g.region          -> removed (WhiteboxTools is file-based, no regions)
  g.mapset          -> replaced with output subdirectories
  g.copy/rename     -> shutil.copy2 / os.rename
  g.remove          -> os.remove


================================================================================
STEP 2: FILES CREATED / MODIFIED
================================================================================

CREATED:
  .gitignore
    - Python bytecode, virtual environments
    - IDE files (.idea/, .vscode/)
    - macOS .DS_Store
    - GIS/raster files (.tif, .las, .laz, .img, etc.)
    - GRASS workspace directories
    - Log and temp files
    - Output directories

  requirements.txt
    - numpy
    - scipy
    - rasterio
    - whitebox
    - pvlib
    - pandas

MODIFIED (complete rewrites):

  ssr_params.py
    - Removed: gisbase, gisdbase, location, mapset (GRASS workspace params)
    - Added: workspace (root output directory)
    - Added: dem_path (full path to input DTM TIFF)
    - Added: latitude, longitude, timezone, elevation_mean (for solar model)
    - Replaced mapset names (mhorizon, msun, mlpi, mssr) with output
      subdirectory names (dir_lidar, dir_lpi, dir_sun, dir_ssr, dir_temp,
      dir_logs)
    - All other SSR model parameters preserved unchanged

  ssr_utilities.py
    - Removed: all grass.script imports and GRASS session management
    - Added: rasterio, whitebox, scipy imports
    - Replaced: set_region() -> removed (not needed with file-based approach)
    - Replaced: mapset_gotocreate() -> ensure_dir()
    - Replaced: raster_exists(name, mapset) -> raster_exists(name, subdir)
    - Replaced: create_temp/remove_temp/copy_fromtemp -> removed (not needed)
    - Added: read_raster(path) -> returns (data array, profile)
    - Added: save_raster(data, profile, path) -> GeoTIFF with LZW compression
    - Added: mosaic_rasters(input_paths, output_path) -> rasterio merge
    - Added: apply_recode(data, rules_file) -> reads albedo_recode.txt format
    - Added: setup_workspace() -> creates all output subdirectories
    - Fixed: print statement -> print() function

  ssr_lidar.py
    - Removed: all GRASS imports and GRASS session initialization
    - Added: rasterio, numpy imports
    - Added: xyz_to_raster() -> bins XYZ ASCII points into raster grid
      using numpy, supports 'count' (density) and 'max' (canopy) methods
    - Added: clip_raster_to_extent() -> clips raster to remove tile overlap
    - Replaced: r.in.xyz -> xyz_to_raster()
    - Replaced: r.patch -> mosaic_rasters() (rasterio.merge)
    - Replaced: g.rename, g.remove -> os.rename, os.remove
    - Replaced: r.mapcalc (canopy fill) -> numpy np.where(isnan, dem, canopy)
    - Output: GeoTIFF with LZW compression
    - Fixed: print statement -> print()

  ssr_lpi.py
    - Removed: all GRASS imports
    - Added: scipy.ndimage.convolve for neighborhood weighted sum
    - Added: apply_weight_kernel() -> loads weight .txt file as numpy kernel,
      applies convolution (replaces r.neighbors with weight file)
    - Replaced: r.mapcalculator -> numpy operations
      - "A / B"         -> pneighfilt / pneighunf
      - "if(A>1.0,1,A)" -> np.minimum(lpi_data, 1.0)
    - Replaced: r.null -> np.where(np.isnan(data), 0, data)
    - Replaced: g.copy (monthly LPI) -> shutil.copy2
    - Output: GeoTIFF with LZW compression
    - Fixed: print statement -> print()

  ssr_rsun.py
    - Removed: all GRASS imports and GRASS session management
    - Added: pvlib, pandas, rasterio imports
    - Replaced: r.resample -> rasterio bilinear resampling (_resample_raster)
    - Replaced: r.slope.aspect -> wbt.slope() + wbt.aspect()
    - Replaced: r.mapcalc (vegheight) -> numpy subtraction (can - dem)
    - Replaced: r.recode (albedo) -> apply_recode() from ssr_utilities
    - Replaced: r.sun -> calc_solar_radiation_day() using pvlib:
        * pvlib.location.Location for solar position
        * pvlib.clearsky.ineichen with Linke turbidity from linke_interp()
        * Per-pixel beam projection using slope/aspect and angle-of-incidence
          formula: cos(AOI) = sin(tilt)*sin(zenith)*cos(az_sun - az_surface)
                              + cos(tilt)*cos(zenith)
        * Isotropic diffuse: DHI * (1 + cos(tilt)) / 2
        * Reflected: GHI * albedo * (1 - cos(tilt)) / 2
        * Integrated over all daylight timesteps -> Wh/m²/day
        * Outputs: beam_rad, diff_rad, refl_rad, insol_time
    - linke_interp() function preserved, unchanged logic, Python 3 syntax
    - Multiprocessing preserved: one worker per CPU core
    - Fixed bug: original code passed bregion instead of ow to worker_sun()
    - Output: GeoTIFF with LZW compression for all 4 solar output types
    - Fixed: print statement -> print()

  ssr_algore.py
    - Removed: all GRASS imports
    - Replaced: grass.mapcalc() -> numpy array operations for all 6 algore
      variants (cl, cn, gn, gl, pl, d)
    - Replaced: r.colors -> removed (color ramps not needed for analysis)
    - Replaced: g.mapset/g.region -> removed (file-based)
    - Replaced: g.remove -> os.remove
    - Output: GeoTIFF with LZW compression
    - Fixed: print statement -> print()

  grass_make_canopy_dem.py
    - Complete rewrite: standalone canopy DEM creator using numpy + rasterio
    - Removed: all GRASS imports, hardcoded GRASS paths
    - Added: xyz_to_raster_max() for canopy surface rasterization
    - Added: mosaic_tifs() for tile merging
    - Fixed: syntax error on line 58 (unmatched parenthesis in if statement)
    - Fixed: undefined variables (calib, algore referenced but not defined)
    - Output: GeoTIFF with LZW compression
    - Fixed: print statement -> print()

  grass64_make_canopy_dem.py
    - Complete rewrite: same approach as grass_make_canopy_dem.py
    - Processes both filtered and unfiltered LiDAR subdirectories
    - Output: GeoTIFF with LZW compression
    - Fixed: print statement -> print()

  ssr_test_dilation.py
    - Fixed: 1D array a = numpy.zeros(17) -> 2D a = np.zeros((17,17))
    - Fixed: scipy.ndimage.morphology.binary_dilation -> scipy.ndimage.binary_dilation
      (morphology submodule was removed in newer scipy)
    - Fixed: import numpy as np (modern style)


================================================================================
STEP 3: ARCHITECTURE CHANGE SUMMARY
================================================================================

BEFORE (GRASS GIS workspace model):
  /data/grass_workspace/
    angelo2014/
      PERMANENT/         <- main mapset (dem, can, slope, aspect, etc.)
      lpi/               <- LPI rasters
      sun_default_hd/    <- solar radiation rasters
      ssr_default_gl/    <- final SSR output rasters
      temp00/, temp01/   <- per-CPU temp mapsets for multiprocessing

AFTER (file system model):
  /data/ssr_workspace/
    lidar/               <- point density and canopy rasters (from ssr_lidar)
    lpi/                 <- LPI rasters (from ssr_lpi)
    sun_default_hd/      <- solar radiation rasters (from ssr_rsun)
    ssr_default_gl/      <- final SSR output rasters (from ssr_algore)
    temp/                <- temporary files
    logs/                <- log files

All rasters are GeoTIFF (.tif) with LZW compression throughout.
No GRASS database, no mapsets, no GISBASE environment variable.


================================================================================
STEP 4: KEY DEPENDENCY CHANGES
================================================================================

REMOVED:
  grass.script
  grass.script.setup
  sys.path manipulation for GRASS python path

ADDED:
  rasterio          - reading/writing GeoTIFF rasters
  whitebox          - WhiteboxTools (slope, aspect terrain analysis)
  pvlib             - solar position and clear-sky irradiance
  pandas            - time series for pvlib solar calculations
  scipy.ndimage     - convolution for LPI neighborhood analysis
                      (was already imported in ssr_test_dilation.py)

UNCHANGED:
  numpy             - already present, now used for all raster math
  scipy.interpolate - Linke turbidity interpolation (unchanged)
  multiprocessing   - parallel solar radiation workers (unchanged)
  datetime, os, sys, shutil, re, traceback, platform


================================================================================
VERIFICATION
================================================================================

All 9 Python files pass syntax check:
  python3 -m py_compile ssr_params.py ssr_utilities.py ssr_lidar.py \
    ssr_lpi.py ssr_rsun.py ssr_algore.py grass_make_canopy_dem.py \
    grass64_make_canopy_dem.py ssr_test_dilation.py
  -> All files compile OK

No remaining GRASS references:
  grep -rn "grass\." *.py  -> no output

No remaining Python 2 print statements:
  grep -rn "print " *.py (excluding printout, comments, strings) -> no output


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END OF LOG
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