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Seven per-cell raster functions with numpy/cupy/dask/dask+cupy backends: Burn severity: dnbr, rdnbr, burn_severity_class (USGS 7-class) Fire behavior: fireline_intensity (Byram), flame_length, rate_of_spread (simplified Rothermel with Anderson 13 fuel model lookup) Fire danger: kbdi (single time-step Keetch-Byram Drought Index) Includes 54 tests covering known values, NaN propagation, edge cases, input validation, cross-backend parity, Dataset support, and accessor smoke tests. Adds .xrs accessor methods for both DataArray and Dataset.
Beginner-oriented walkthrough of all 7 fire module functions with synthetic data: dNBR, RdNBR, burn severity classification, fireline intensity, flame length, rate of spread (with fuel model comparison and moisture sensitivity), and multi-day KBDI accumulation.
- API reference page (docs/source/reference/fire.rst) with autosummary directives for all 7 public functions - User guide notebook (docs/source/user_guide/fire.ipynb) with synthetic data examples for burn severity, fire behavior, and KBDI - Updated reference and user guide toctrees
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Summary
New
xrspatial/fire.pymodule with 7 per-cell functions, all with numpy/cupy/dask/dask+cupy backends:dnbr,rdnbr,burn_severity_class(USGS 7-class, int8)fireline_intensity(Byram),flame_length,rate_of_spread(simplified Rothermel, Anderson 13 fuel models)kbdi(single time-step Keetch-Byram Drought Index)burn_severity_classandflame_lengthaccept Dataset inputs via@supports_dataset. Accessor methods on.xrsfor all 7 (DataArray) and those 2 (Dataset). Top-level imports and changelog updated.Test plan
54 tests in
test_fire.py, all passing:burn_severity_classandflame_lengthrate_of_spreadspecifics: all 13 fuel models produce finite positive output; spread increases with slope and wind; high moisture suppresses spread; out-of-range fuel_model raises ValueErrorCloses #922