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marklann77/GEE-Gizu-NDVI

Domaine:

environment and energygeospatial
Créateur:
mar
Hôte:
This application leverages high-resolution Sentinel-2 satellite imagery to monitor vegetation health across Sudan’s Gizu region, providing real-time NDVI time-series analysis to track rangeland seasonality. # Gizu Region Vegetation Dynamics Monitor ## Overview This project provides an automated, interactive dashboard for monitoring rangeland health in the Gizu region of Sudan. This tool leverages satellite time-series data to identify critical grazing windows and inter-annual variability. ## Demo / Example * **Live App:** [ee-markolann.projects.earth…] * **Interactive Features:** Users can click any location on the map to generate a 2-year NDVI phenology chart, providing a high-resolution look at seasonal vegetation trends. ## Data Sources * **Name/Description:** Sentinel-2 MSI: MultiSpectral Instrument, Level-2A (Harmonized). * **Originator/Provider:** European Space Agency (ESA) via Google Earth Engine. * **Date Accessed:** January 2026. * **Spatial Resolution:** 10m to 20m, specifically chosen to capture sparse rangeland micro-vegetation. ## Data Processing and Methodology This project utilizes a "data-first" approach to ensure technical rigor and reproducible outputs. * **Software/Tools Used:** Google Earth Engine (GEE) JavaScript API. * **Key Processing Steps:** * **Cloud Masking:** Implemented a `QA60` bitmasking function to ensure analysis only uses clear-sky pixels. * **NDVI Calculation:** Normalized Difference Vegetation Index calculated using NIR (B8) and Red (B4) bands. * **Quality Mosaic:** Employed a `.qualityMosaic('NDVI')` approach to capture peak biomass across the 2023–2025 period, highlighting the maximum biological potential of the rangeland. * **Interactive UI:** Built a custom sidebar and legend using the `ui.Panel` and `ui.Chart` libraries for real-time geospatial analysis. ## Setup & Usage * **Prerequisites:** A Google Earth Engine account. * **Execution:** 1. Open the GEE Code Editor. 2. Paste the provided project script. 3. Hit **Run** to load the dashboard. 4. Use the **Map Tool** to click and analyze specific grazing corridors in Northern Sudan. ## Outputs * **Peak Vegetation Layer:** A hig …