Automated Sentinel-1 SAR rapid flood mapping, demographic exposure, and network disruption analysis for the Shabelle River Basin, Ethiopia
# Ethiopia Humanitarian Flood Assessment: Shabelle River Basin
**Automated Sentinel-1 SAR Rapid Mapping, Demographic Exposure, and Network Disruption**
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## Description
This repository houses an end-to-end geospatial analytics and data pipeline platform designed to simulate, assess, and visualize rapid-onset flood emergencies in the Shabelle River Basin (Gode, Somali Region of Ethiopia).
Modeled after standard operational frameworks utilized by the United Nations Satellite Centre (UNITAR-UNOSAT), the project combines active radar remote sensing, dasymetric population modeling, and transport graph theory into reproducible GIS reporting framework.
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## The Problem
Riverine flooding along the Shabelle River basin routinely threatens agrarian livelihoods, damages rural infrastructure, and severs vital regional supply arteries (such as the primary Gode-Kelafo corridor). Traditional emergency assessments face critical bottlenecks:
* **Cloud Cover Delays:** Optical satellite imagery (e.g., Sentinel-2, Landsat) is often rendered ineffective during active storm and monsoon windows due to dense cloud cover.
* **Logistical Blind Spots:** Humanitarian actors often lack near-real-time synchronization between flood boundaries, affected population clusters (WorldPop), and road network accessibility (OpenStreetMap).
* **Manual Processing Delays:** Manual GIS digitization leads to response lag times during critical early-warning windows.
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## The Solution
This automated pipeline resolves these limitations by implementing:
1. **Cloud-Independent Radar Sensing:** Leverages Sentinel-1 Synthetic Aperture Radar (SAR) imagery, which penetrates heavy cloud cover and operates day or night via active backscatter differencing.
2. **Automated Geospatial Overlays:** Automatically correlates inundation polygons against high-resolution gridded population nodes and OpenStreetMap (OSM) transport routing topologies.
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## Tech Stacks & Core Libraries
* **Python:** Core orchestration …