- 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.
Major Changes:
- NEW: Scripts 09 & 10 for KPI calculation and enhanced reporting
- NEW: Shell script wrappers (01-10) for easier execution
- NEW: R packages flextable and officer for enhanced Word reports
- NEW: DEPLOYMENT_README.md with complete deployment guide
- RENAMED: Numbered R scripts (02, 03, 04) for clarity
- REMOVED: Old package management scripts (using renv only)
- UPDATED: Workflow now uses scripts 09->10 instead of 05
Files Changed: 90+ files
New Packages: flextable, officer
New Scripts: 09_run_calculate_kpis.sh, 10_run_kpi_report.sh
Documentation: DEPLOYMENT_README.md, EMAIL_TO_ADMIN.txt
See DEPLOYMENT_README.md for full deployment instructions.
Timon
