Fix: Handle no-data values in TIF files during prediction tests #1270
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henrykironde wants to merge 7 commits intoweecology:mainfrom
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Fix: Handle no-data values in TIF files during prediction tests #1270henrykironde wants to merge 7 commits intoweecology:mainfrom
henrykironde wants to merge 7 commits intoweecology:mainfrom
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Previously, when reading TIF files with rasterio, no-data values were not masked before normalization. This caused invalid values (e.g., -9999 normalized to -39.2) to be passed to the model, potentially affecting prediction accuracy.
- Rename read_raster_window to apply_nodata_mask - Combine src.read() with masking in single function - Use rasterio's dataset_mask() for efficient masking - Update all call sites to new signature
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duplicate #1102 |
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