Costa-tintin/nakuru-nvdi-analysis-2024

NDVI-based crop stress analysis for Nakuru Region, Kenya # nakuru-nvdi-analysis-2024 NDVI-based crop stress analysis for Nakuru Region, Kenya Nakuru Region Crop Stress Analysis Using NDVI Project Overview This repository contains a comprehensive analysis of crop health and stress in the Nakuru region of Kenya using Normalized Difference Vegetation Index (NDVI). The analysis utilizes Sentinel-2 satellite imagery processed through Google Earth Engine (GEE) and QGIS to identify areas of crop stress and healthy vegetation. Key Findings 45% of croplands show signs of severe stress (red zones) 40% of agricultural areas exhibit moderate stress conditions (yellow zones) Only 15% of croplands display optimal plant health (green zones) Western sectors show the highest concentration of severely stressed vegetation Eastern zones demonstrate better overall plant health with patches of healthy vegetation Technologies Used Google Earth Engine (GEE): Cloud-based platform for satellite image processing and NDVI calculation QGIS: Geospatial analysis and map production Sentinel-2 Satellite Data: 10m resolution multispectral imagery (Feb-Apr 2024) Repository Structure nakuru-ndvi-analysis-2024/ ├── README.md # This file - project overview ├── data/ # Data directory │ ├── raw/ # Raw Sentinel-2 data access information │ └── processed/ # Processed NDVI GeoTIFF files ├── docs/ # Documentation folder │ ├── report.md # Full analytical report │ └── images/ # Maps and visualizations ├── code/ # Analysis code │ ├── gee/ # Google Earth Engine JavaScript code │ └── qgis/ # QGIS processing workflow └── results/ # Final maps and statistical outputs Methodology The analysis follows a systematic workflow: Data Acquisition: Sentinel-2 Surface Reflectance (SR) collection filtered for: Date range: February 1, 2024 - April 30, 2024 Cloud cover: <10% Region: Nakuru administrative boundary ND …