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Kelvin-kalu/Kidepo-ndvi-analysis-2024

Domain:

geospatialenvironment and energy

Record type:

project
Creator:
Kel
Host:
Seasonal NDVI Analysis of Kidepo Valley, Karamoja and Karenga Sub-regions, Uganda (2024) # 🌿 Seasonal NDVI Analysis of Kidepo Valley, Karamoja and Karenga Sub-regions, Uganda (2024) > **Remote sensing project analysing seasonal vegetation health and cover across Kidepo Valley, Karamoja, and Karenga using Landsat 8 NDVI β€” comparing dry season (March) and wet season (September) conditions.** --- ## πŸ“Œ Project Overview This remote sensing analysis applies the Normalized Difference Vegetation Index (NDVI) to assess vegetation health, cover, and seasonal dynamics across three ecologically significant areas in northeastern Uganda β€” Kidepo Valley National Park, Karamoja sub-region, and Karenga sub-region. Using Level-2 Landsat 8 (OLI) imagery from March and September 2024, the study captures the contrast between dry season stress and wet season recovery, and classifies vegetation into three cover types to support deforestation monitoring and land degradation assessment. --- ## πŸ—‚οΈ Repository Structure ``` Kidepo-Karamoja-NDVI-Analysis/ β”‚ β”œβ”€β”€ maps/ β”‚ β”œβ”€β”€ KidepoMarchNDVIMap.png # Kidepo Valley – Continuous NDVI, March 2024 β”‚ β”œβ”€β”€ KidepoNDVIMarchClassified.png # Kidepo Valley – NDVI Classification, March 2024 β”‚ β”œβ”€β”€ KidepoSeptemberNDVIMap.png # Kidepo Valley – Continuous NDVI, September 2024 β”‚ β”œβ”€β”€ KidepoNDVISEPClassified.png # Kidepo Valley – NDVI Classification, September 2024 β”‚ β”œβ”€β”€ Karamoja.jpg # Karamoja – NDVI & Classification (March & September) β”‚ └── Karenga.jpg # Karenga – NDVI & Classification (March & September) β”‚ └── README.md ``` --- ## πŸ”’ Data Sources | Dataset | Source | |---|---| | Satellite imagery | Landsat 8 OLI Level-2 (USGS Earth Explorer) | | Study area boundaries | Uganda GIS Portal / OpenStreetMap | | Basemap | OpenStreetMap Standard | --- ## βš™οΈ Methodology ### NDVI Formula NDVI was calculated using the standard formula: ``` NDVI = (NIR - RED) / (NIR + RED) ``` Where NIR is Band 5 and RED is Band 4 of Landsat 8 OLI. --- ### Vegetation Classification Thresholds The co …

Visit

github.com

Tasks

image classificationcomputer vision