marielary/drought-analysis-haute-matsiatra

Pipeline for computing agroclimatic indicators (SPI, SPEI, ET₀, GDD, WRSI, NDVI…) for the Haute Matsiatra region, Madagascar, agricultural seasons 2011/12 to 2017/18. # Agroclimatic Pipeline — Haute Matsiatra, Madagascar > Pipeline for computing agroclimatic indicators (SPI, SPEI, ET₀, GDD, WRSI, NDVI…) > for the Haute Matsiatra region, Madagascar — Agricultural seasons 2011/12 to 2017/18 > Climatological baseline: 1991–2020 (WMO standard) > > **Objective**: build a district-scale agroclimatic database (7 seasons: 2011/12 – 2017/18) > to select features important for the analysis of **agricultural exposure to drought** in Haute Matsiatra. --- ## Overview This project is part of a doctoral thesis on the **agroclimatic analysis of Haute Matsiatra** (Madagascar). The two scripts aim to **build a multivariate agroclimatic database** at the district level over **7 agricultural seasons (2011/12 – 2017/18)** for the analysis of agricultural exposure to drought. > These scripts are the **data constitution phase** of the thesis. > The extracted variables serve as inputs for subsequent correlation analysis > and drought exposure modelling. The variables extracted cover: - **Drought indices** (SPI, SPEI at different time scales) - **Meteorological variables** per crop phase (precipitation, temperature, ET₀, GDD…) - **Water balance indicators** (WRSI, water deficit, soil moisture) - **Vegetation indicators** (NDVI, NDWI, VCI from Landsat) - **Phenological indicators** (onset date, cessation date, season length) The pipeline consists of **two scripts** to be run in order: ``` 1. pretraitement_spi_spei_final_v2.py → SPI/SPEI computation (1991–2020 baseline) 2. pipeline_agroclimatique_v2.py → Full agroclimatic pipeline ``` --- ## Project Structure ``` 📦 agroclimatic-pipeline-haute-matsiatra/ ├── pretraitement_spi_spei_final_v2.py # Script 1 — SPI/SPEI ├── pipeline_agroclimatique_v2.py # Script 2 — Full pipeline ├── README.md │ ├── 📁 inputs/ (to be provided — not included in repository) │ ├── region_district_HM.shp # District shapefile │ ├── Soil_map_HM_VF.shp # FAO soil map │ └── ren …