- Created `environment_pytorch.yml` to define the conda environment for PyTorch with GPU support, including necessary packages like GDAL and SentinelHub.
- Added `requirements_harvest.txt` for Python package dependencies related to data harvesting, including PyTorch, Pandas, NumPy, and others.
- Changed report date in CI report for cane supply to "2026-02-04".
- Updated output file naming convention for agronomic support report to reflect new report date.
- Enhanced map creation functions to allow customizable legend positions and improved layout settings.
- Adjusted widths for map arrangements to ensure better visual representation.
- Fixed minor issues in ggplot aesthetics for clearer legend positioning and improved readability.
- Corrected field size unit from hectares to acres in KPI summary generation.
- Improved safe_log function to include timestamps and conditional logging
- Added diagnostic messages for field visualization processing
- Updated CI map rendering parameters for consistency
- Refined raster mapping functions in report_utils for clarity
- Added .png files to .gitignore
- 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`.
- Added a progress bar to the tile download process for better user feedback.
- Simplified the tile overlap checking logic in the R script to improve performance and readability.
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.
- Updated all CI maps to use tm_scale_continuous() for proper tmap v4 compatibility
- Added fixed color scale limits (1-8 for CI, -3 to +3 for differences) for consistent field comparison
- Fixed YAML header formatting issues in CI_report_dashboard_planet.Rmd
- Positioned RGB map before CI overview map as requested
- Removed all obsolete use_breaks parameter references
- Enhanced error handling and logging throughout the pipeline
- Added new experimental analysis scripts and improvements to mosaic creation
Timon
