Flood Risk Mapping in Pakistan Using Remote Sensing & Change Detection

Project Overview

This project analyzes monsoon flood risks in Pakistan using Google Earth Engine (GEE) and Sentinel-1 SAR satellite imagery.
The study covers Layyah, Dadu, and Nowshera, focusing on:

• Before & After Flood Maps (July 2022)
• Change Detection Analysis (2014–2025)
• Urban/Rural vulnerability, terrain impact, and population exposure

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Key Highlights

• Generated flood extent maps using Sentinel-1 SAR data
• Conducted flood change detection (2014–2025) across 3 regions
• Produced uniform, report-ready maps with legends & titles
• Extracted data-driven insights on regional vulnerability
• Applied findings to disaster management & resilience planning

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Regions of Study

Region	Why Selected	Key Findings
Layyah (Punjab)	Agricultural hub prone to Indus flooding	High rural exposure, crop damage risk
Dadu (Sindh)	Downstream floodplain, high-risk zone	Severe inundation, displacement hotspots
Nowshera (KPK)	Mountain-fed river system	Flash floods, rapid terrain-driven risks

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Outputs

• Before vs After Flood Maps (July 2022)
• Flood Change Detection Maps (2014–2025)
• Legends & Standardized Orientation for comparability
• Population & Terrain overlays for deeper insights

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Tools & Tech

• Google Earth Engine (Code Editor)
• Sentinel-1 SAR Imagery
• Optional Python libraries for post-processing:
  • geopandas
  • rasterio
  • matplotlib

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Impact & Applications

• Disaster Management → Early response & relief planning
• Policy Making → Region-specific preparedness strategies
• Agriculture → Crop insurance & water management insights
• Urban Planning → Identifying high-risk settlement zones

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Sample GEE Code Snippet

// Define region of interest var nowshera = ee.Geometry.Rectangle([71.800, 33.900, 72.400, 34.300]); Map.centerObject(nowshera, 9);

// Load Sentinel-1 SAR image (July 2022) var nowsheraImage = ee.ImageCollection('COPERNICUS/S1_GRD') .filterBounds(nowshera) .filterDate('2022-07-01', '2022-07-31') .filter(ee.Filter.listContains('transmitterReceiverPolarisation', 'VV')) .filter(ee.Filter.eq('instrumentMode', 'IW')) .select('VV') .mean() .clip(nowshera);

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Project Structure

├── Flood Change Detection Code (2014-2025)            # GEE code for change detection analysis
├── Flood Change Detection Imagery.pdf                 # Maps generated for flood change detection
├── Flood Risk Mapping Code – (July 2022)              # GEE code for July 2022 flood mapping
├── Flood Risk Mapping Imagery.pdf                     # Maps generated for July 2022 flood mapping
├── Geospatial Flood Risk Assessment(SAR Analysis).pdf # Comprehensive report
├── LICENSE                                            # License file
├── README.md                                          # Project documentation