GIS and remote sensing-based hybrid AHP–machine learning framework for flood susceptibility and risk assessment in the Wolaita Zone, Southern Ethiopia

Integrating SAR remote sensing and machine learning for comprehensive flood risk assessment in Kogi state, Nigeria

Machine learning and remote sensing based time series analysis for drought risk prediction in Borena Zone, Southwest Ethiopia

Landslide Susceptibility Mapping in Nigeria Using Remote Sensing, GIS, and Machine Learning Models

Landslide situations remain a significant concern in Nigeria, as they pose a great risk to human liv

A GeoAI framework for coastal flood risk assessment: integrating remote sensing and socioeconomic data

Bangladesh’s coastal zone is widely recognized as one of the most hazard-prone regions of the world.

Spatial Assessment of Flood Susceptibility Using Remote Sensing and AHP-Based Multi-Criteria Analysis: A Case Study of the Mekerra Wadi Watershed (Algeria)

Floods represent one of the most destructive natural hazards worldwide, causing significant environm

Flood Risk Prediction Using Remote Sensing and Machine Learning — Tana River, Kenya

This project implements an end-to-end flood prediction pipeline for Tana River County, Keny