Mercy14846/Flood-Monitoring-and-Resilience-in-the-Niger-River-Basin

Using Landsat 8 # Near-Time GIS for Flood Monitoring and Analysis in Niger River Basin, Nigeria This repository hosts the resources, code, and documentation for the study **"Enhancing Disaster Response and Resilience Through Near-Time GIS for Flood Monitoring and Analysis in Niger River Basin, Nigeria"**, as presented at the ISPRS TC III Mid-term Symposium, 2024. ### Overview Flooding in Nigeria is a critical issue affecting lives, livelihoods, and infrastructure, particularly in the Niger River Basin. This project leverages Google Earth Engine (GEE) for near-real-time flood mapping, impact analysis, and flood resilience modeling. It combines multi-temporal remote sensing datasets with geospatial analysis techniques to quantify flood hazards, assess exposure, and provide actionable insights for disaster response. ### Key Features - **Automated Flood Monitoring**: Utilizes Sentinel-2 and Sentinel-1 datasets for accurate and timely flood mapping. - **Impact Assessment**: Integrates population, land use, and building footprint data to quantify flood impacts. - **Scalable Workflow**: Cloud-based processing using GEE for efficient and reproducible geospatial analytics. ## Methodology ### Data Sources - **Sentinel-2 MSI**: Optical imagery for flood detection and land-use classification. - **Sentinel-1 SAR**: Radar imagery for cloud-penetrating flood analysis. - **NASA SRTM DEM**: Elevation data for terrain analysis. - **Global Surface Water Dataset**: Historical water body dynamics. - **Landsat 8**: Additional multi-temporal land cover analysis. ### Tools and Libraries - **Google Earth Engine**: Primary platform for data processing and analysis. - **ArcGIS Pro**: For additional preprocessing and visualization. - **Python**: Supporting scripts for modeling and data manipulation. ### Workflow 1. **Data Acquisition**: Collect and preprocess satellite imagery and terrain datasets. 2. **Flood Mapping**: Apply spectral indices (e.g., NDWI) and radar analysis to delineate flood extents. 3. …