Nyalenda is one of Kisumu's largest informal settlements, situated on low-lying ground adjacent to Lake Victoria. This project used SRTM Digital Elevation Model data and Sentinel-2 satellite imagery to model flood inundation zones and assess vulnerability.
Flow accumulation and depression-filling algorithms in QGIS were used to delineate catchment areas and identify surface water pathways during heavy rainfall events. Historical flood extents were validated against OpenStreetMap flood polygon data and local community reports.
A composite vulnerability index was computed by overlaying flood depth estimates with building density, road accessibility, and proximity to drainage infrastructure.
SRTM resolution (30m) was insufficient for fine-scale urban flood modelling; interpolation techniques were applied to improve accuracy in dense settlement areas.
Maps presented as part of a coursework module and scored among the top submissions. Work referenced in a peer student publication.