Anambra West Local Government Area lies along the Niger River floodplain in southeastern Nigeria, making it one of the most flood-exposed districts in the country. Annual flooding, particularly during the October peak season, displaces communities, damages farmland, and disrupts livelihoods across the district's 13 wards.
This project combined multi-temporal Sentinel-1 SAR flood extent analysis with AHP-based vulnerability mapping to produce a comprehensive picture of both where flooding occurs and which areas face the greatest long-term risk. The analysis covered three flood years: 2018, 2022, and 2024, enabling direct comparison of flood severity across time.
The 2022 flood event stands out as the most severe in the study period. With 356.7 km² of the district inundated — nearly half the total land area — it aligns with the nationally documented catastrophic flooding that affected millions across Nigeria that year.
The vulnerability component goes beyond extent mapping to identify areas structurally prone to flooding regardless of year, using nine physical and socioeconomic conditioning factors weighted through the Analytical Hierarchy Process. The result is a five-class risk zonation map that can directly support emergency planning and land use decisions.
Sentinel-1 SAR imagery (VH polarization) was processed on Google Earth Engine to delineate flood extent for each study year. Pre-flood images were acquired in January (dry season) and post-flood images in October (peak flood season) for each year.
Nine conditioning factors were reclassified into five vulnerability classes and combined using AHP-derived weights to produce the final flood vulnerability map. The southern wards — particularly Ezi Anam and Umueze Anam — and the Niger River corridor show consistently Very High vulnerability, reflecting their low elevation, proximity to water bodies, and high drainage density.
| Data | Source | Resolution | Use |
|---|---|---|---|
| Sentinel-1 SAR | Copernicus Hub | 10m | Flood extent mapping (VH polarization, 2018 / 2022 / 2024) |
| SRTM DEM | USGS Earth Explorer | 30m | Elevation, slope, TWI, drainage density, distance to water bodies |
| Sentinel-2 LULC | ESRI Living Atlas | 10m | Land use / land cover factor layer |
| Population Density | WorldPop via EarthMap | 100m | Socioeconomic vulnerability factor |
| Soil Data | EarthMap (100cm depth) | – | Soil type factor layer |
| Precipitation | Climate Engine | 4.5km | Rainfall factor for vulnerability modelling |
| Administrative Boundaries | GRID3 Nigeria | – | Study area delineation and ward mapping |
The flood extent analysis was coded and executed directly in the Google Earth Engine JavaScript API, combining Sentinel-1 imagery with the study area boundary asset to delineate flood inundation and water bodies.
The 2022 flood was the most severe event recorded in the study period, inundating 356.7 km² — nearly half of Anambra West's total land area, consistent with the national flood emergency declared that year.
Difference in flood extent between the worst year (2022) and the least severe (2024), demonstrating significant year-to-year variability and the importance of multi-temporal monitoring rather than single-event assessment.
Southern wards, particularly Ezi Anam and Umueze Anam, consistently show Very High vulnerability across both the extent and AHP analyses, driven by low elevation and direct proximity to the Niger River and River Anambra confluence.
The AHP vulnerability model integrated TWI, elevation, slope, drainage density, LULC, soil type, population density, distance to water bodies, and precipitation — providing a comprehensive multi-factor risk picture beyond simple inundation mapping.