This project develops an end-to-end automated workflow that integrates news media-based event detection with Sentinel-1 SAR imagery for near-real-time flood mapping. The resulting flood maps are published through a web-based platform to support rapid visualization and dissemination.
This project applies Sentinel-1 SAR interferometry to map ground displacement following the October 2025 landslide in Chesongoch, Elgeyo Marakwet County. Using pre- and post-event SLC data, differential InSAR was implemented to detect surface deformation associated with slope failure.
An interactive web map to explore the spatial relationship between access to basic services and disaster impacts across Africa in 2022. The project integrates multiple geospatial datasets to support visual comparison and pattern discovery.
This infographic visualizes the relationship between basic service access and disaster impacts in Africa. The design integrates visual hierarchy and eye-tracking feedback to guide interpretation
I used SatCLIP embeddings to analyze food insecurity patterns across Kenya. The project involved predicting crisis areas, modelling a continuous severity index, and estimating the population in Crisis–Emergency phases.
OBIA applying the Felzenszwalb graph-based segmentation algorithm in python, with a systematic comparison to eCognition’s multiresolution segmentation for delineating meaningful land-cover objects.
The analysis uses pre- and post-event Sentinel-2 imagery and the Modified Soil Adjusted Vegetation Index (MSAVI) to assess vegetation disturbance and surface changes associated with the event.
The global representation of women in parliament in 2020, based on the United Nations Sustainable Development Goal (SDG) 5, specifically target 5.5.