Investigates wildfire controls on spread and intensity in a semi-arid region, suggesting effective management strategies.
This repository provides the complete data, code, and remote-sensing acquisition pipeline supporting the wildfire controls study of the "Ouadi-Rimé Ouadi-Achim Faunal Reserve (OROAFR - Chad). It consists of two archives: (1) Chap_2_data_and_scripts.zip — containing annual environmental rasters, fire metrics, vector layers, and eight R scripts implementing BACI-GAMM analyses of firebreak effectiveness on fire ignition, spread, and intensity over 2005–2024; and (2) GEE.7z — containing eleven Google Earth Engine JavaScript scripts used to extract and export all raw remote-sensing inputs from MODIS, CHIRPS, CHIRTS, ERA5-Land, MERIT Hydro, and SRTM. Together, these archives constitute a fully reproducible data and analytical workflow. Detailed README files accompany each archive.
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Taroum et al. (2026) studied this question.
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