NDVI-based vegetation condition assessment of Middle Shabelle, Somalia using Landsat 8/9 imagery and QGIS.
# NDVI-Based Vegetation Condition Assessment of Middle Shabelle, Somalia (2025)
## Project Overview
This GIS and remote sensing project analyzes vegetation conditions in the Middle Shabelle region of Somalia using the Normalized Difference Vegetation Index (NDVI) derived from Landsat 8/9 satellite imagery.
The project was conducted using QGIS to process satellite imagery, calculate NDVI values, classify vegetation conditions, and produce a final thematic vegetation map.
The analysis helps demonstrate how remote sensing and GIS techniques can be used for environmental monitoring, vegetation assessment, drought analysis, and agricultural planning in Somalia.
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# Objectives
The main objectives of this project were:
- Assess vegetation conditions in Middle Shabelle
- Identify areas of dense and sparse vegetation
- Apply NDVI techniques using Landsat imagery
- Demonstrate practical GIS and remote sensing workflows
- Produce a professional vegetation condition map
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# Study Area
The study area is Middle Shabelle, located in southern Somalia.
Middle Shabelle is an important agricultural region influenced by the Shabelle River system. The region contains irrigated agricultural areas, dry lands, and varying vegetation conditions that make it suitable for NDVI-based environmental analysis.
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# Data Used
| Dataset | Description |
|---|---|
| Landsat 8/9 Imagery | Satellite imagery downloaded from USGS EarthExplorer |
| Band 5 (NIR) | Near Infrared band used for vegetation detection |
| Band 4 (Red) | Red spectral band used in NDVI calculation |
| Middle Shabelle Boundary | Shapefile used for clipping the study area |
| QGIS 3.x | GIS software used for processing and map production |
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# Data Sources
- USGS EarthExplorer
- USGS Landsat Missions
- QGIS Official Website
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# Software Used
- QGIS 3.x
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# Methodology
## 1. Data Preparation
Landsat 8/9 imagery covering the study area was downloaded from the USGS EarthExplorer platform.
The following ra …