- Implemented `run_spectral_extraction.py` to batch extract spectral indices (NDVI, BSI, NDWI) from 4-band TIFF files, saving results in a structured CSV format.
- Created `spectral_features.py` for calculating various spectral indices, including NDVI, BSI, NDWI, CI_green, CI_red, GNDVI, SAVI, and EVI2.
- Added Jupyter notebook `02_season_normalization_analysis.ipynb` for analyzing season-length normalization, comparing ESA and Angata spectral indices, and visualizing growth patterns.
- Included functions for computing season age, plotting trajectories, and performing peak and amplitude analysis.
- Updated `detect_mosaic_mode` function to check for grid-size subdirectories in addition to tile-named files.
- Added comprehensive tests for DOY reset logic in `test_doy_logic.py`.
- Implemented feature extraction tests in `test_feature_extraction.py`.
- Created tests for growing window method in `test_growing_window_only.py`.
- Developed a complete model inference test in `test_model_inference.py`.
- Added a debug script for testing two-step refinement logic in `test_script22_debug.py`.
Timon