ruteva07/reference-led-stp-land-productivity

Reproducible Python workflow for benchmark-relative State, multi-window Trend, fixed-baseline Performance and joint land-productivity diagnostics across Africa. # Reference-led State–Trend–Performance analysis of land productivity This repository contains the reproducible Python workflow used to construct, evaluate and integrate benchmark-relative **State**, multi-window **Trend** and fixed-baseline **Performance** indicators from annual MODIS NDVI across terrestrial Africa. The code accompanies the manuscript: > **Reference-led re-operationalisation of productivity-based State, Trend and Performance beyond harmonised land-degradation reporting** The numbered scripts reproduce the main processing stages. The `STP_Supplementary_Database` package then aggregates the canonical raster products into reporting-unit summaries, diagnostic tables, figures and joint State–Trend–Performance outputs. --- ## 1. Repository structure ```text repository-root/ ├── README.md ├── Codes/ │ ├── 01_Download_modis_mod13q1_ndvi.py │ ├── 02_Download_ESA_CCI_LULC.py │ ├── 03_STATE_Annual.py │ ├── 04_TREND_Annual.py │ ├── 04A_TREND_statistical_support_and_LULC_diagnostics.py │ ├── 05_PERFORMANCE_Annual.py │ └── Package/ │ └── STP_Supplementary_Database/ │ ├── 00_config.py │ ├── 01_run_supplementary_STP.py │ ├── requirements.txt │ ├── documentation/ │ ├── lookups/ │ ├── modules/ │ │ ├── __init__.py │ │ ├── core.py │ │ └── workflows.py │ └── outputs/ ├── Polygons/ │ ├── Africa.gpkg │ ├── Africa_49States_Undisputed.gpkg │ └── Afr_Ecoregions2017_FG_True.gpkg └── Data/ └── [downloaded and derived raster inputs] ``` ### Folder roles | Location | Role | |---|---| | `Codes/` | Ordered scripts for acquisition, core metric construction and Trend diagnostics. | | `Codes/Package/STP_Supplementary_Database/` | Modular post-processing package for reporting zones, summaries, sensitivity analyses, pairwise comparisons, joint STP products, figures and quality-control outputs. | | `Polygons/Africa.gpkg` | Africa analysis and crop …