viviwammbachi/Drought_Vegetation_Stress_Mapping_Kenya

GIS portfolio project using CHIRPS rainfall and Sentinel-2 NDVI to map drought and vegetation stress in Kenya. # Drought and Vegetation Stress Mapping in Kenya Using CHIRPS Rainfall and Sentinel-2 NDVI **Prepared by:** Vivian Mbachi **Project Type:** GIS Portfolio Project / Climate and Remote Sensing Analysis **Study Area:** Kenya **Year:** 2026 ## Project Summary This project uses free climate and remote sensing data to map rainfall conditions, vegetation health, and drought stress priority areas in Kenya for 2023. CHIRPS rainfall data was used to analyze rainfall conditions, Sentinel-2 imagery was used to calculate NDVI vegetation condition, and both indicators were combined to create a drought stress priority map. The project demonstrates a practical workflow using Google Earth Engine for raster processing and ArcMap 10.8 for final map layout production. ## Main Tools Used - Google Earth Engine - ArcMap 10.8 - Microsoft Word - Git and GitHub ## Main Data Sources - CHIRPS Daily Precipitation - Sentinel-2 Surface Reflectance Harmonized - FAO GAUL Administrative Boundaries ## Skills Demonstrated - Google Earth Engine basics - Remote sensing - Sentinel-2 imagery processing - NDVI analysis - CHIRPS rainfall analysis - Raster clipping and masking - Raster reclassification - Multi-criteria raster overlay - GeoTIFF export - ArcMap raster styling and layout design - GIS metadata and quality documentation - NGO-style climate decision-support mapping ## Final Map Outputs ### Map 1: Drought Stress Priority in Kenya, 2023 ### Map 2: CHIRPS Rainfall Classes in Kenya, 2023 ### Map 3: NDVI Vegetation Stress in Kenya, 2023 ### Map 4: Rainfall, Vegetation, and Drought Stress Comparison in Kenya, 2023 ## Folder Structure ```text 1_Data_Raw 2_Data_Processed 3_Documentation 4_Metadata 5_Maps 6_Output 7_Scripts 8_Report