[iosefa]

Adds calculate_rumple_grid() to calculate a rumple map from a CHM, with separate surface and output resolutions. For example, a 1 m CHM can produce a 20 m rumple raster. calculate_rumple() returns one value for the whole CHM.

Both functions accept method="two_triangle" (default) or method="jenness". Two-triangle excludes any patch with a missing height from both surface and ground area. Jenness omits missing center cells and uses the center height for missing neighbors, following lidR's raster calculation. Optional interpolation fills heights during CHM creation. min_height treats low heights as missing without modifying the input CHM.

Includes tiled GeoTIFF output, documentation of the methods and missing-data rules, and an executed notebook showing both methods. Also updates the PDAL requirement to match the bindings installed in CI.

Validation: 185 tests passed, with one slow integration test skipped. Jenness matches reference values generated in R with sp::surfaceArea. The notebook ran end to end and the docs built successfully. The documentation revision was checked to leave executable Python and notebook code unchanged.

[codecov-commenter]

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Codecov Report

❌ Patch coverage is 99.39516% with 3 lines in your changes missing coverage. Please review.

Files with missing lines	Patch %	Lines
pyforestscan/process.py	98.21%	2 Missing ⚠️
pyforestscan/calculate.py	99.02%	1 Missing ⚠️
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Files with missing lines	Coverage Δ
pyforestscan/__init__.py	100.00% <ø> (ø)
tests/test_process.py	96.00% <100.00%> (+5.16%)	⬆️
tests/test_rumple.py	100.00% <100.00%> (ø)
pyforestscan/calculate.py	79.41% <99.02%> (+24.46%)	⬆️
pyforestscan/process.py	68.70% <98.21%> (+17.93%)	⬆️

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