Overview
Our satellite-based flood mapping system leverages multi-sensor Earth observation data to provide rapid, wide-area flood extent mapping and temporal change analysis. This output delivers critical baseline information for understanding the scope and severity of flooding across agricultural landscapes.
Using a combination of optical and synthetic aperture radar (SAR) imagery, we've developed automated workflows for near real-time flood detection, enabling rapid response and assessment capabilities.
Sentinel-1 SAR
Sentinel-2 Optical
Landsat 8/9
Flood Analysis Results
Comprehensive flood extent mapping across the study region, providing critical insights into affected agricultural areas and infrastructure impacts.
Technical Methodology
Data Acquisition & Preprocessing
Automated download and preprocessing of multi-temporal satellite imagery, including radiometric calibration, geometric correction, and atmospheric correction for optical data.
Water Body Detection
Implementation of advanced water detection algorithms including NDWI, MNDWI for optical data and SAR-specific backscatter thresholding for radar imagery.
Change Detection Analysis
Temporal comparison between pre-flood and post-flood imagery to identify newly inundated areas and quantify flood extent changes.
Flood Mapping & Validation
Generation of validated flood extent maps through integration of multiple sensor data and ground-truth verification using UAV data from Output 1.
Key Deliverables
- Flood Extent Maps: High-resolution maps showing maximum flood extent and temporal progression
- Water Depth Models: Estimated flood depth grids derived from topographic analysis
- Change Detection Maps: Before/after comparison showing newly flooded areas
- Time Series Analysis: Flood duration and recession patterns
- Agricultural Impact Maps: Crop-specific flood exposure analysis
- Automated Processing Chain: Operational system for future flood events