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

AI-driven projection of seasonal agricultural drought using CMIP6 and remote sensing data in Borena Zone, Southern Ethiopia

Abstract In arid and semi-arid countries, accurate agricultural drought characte

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

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

Python Code for SPI-Based Drought Analysis in Borena and Guji Zones, Ethiopia

This repository contains Python code used for the computation and analysis of the Standardi

Machine learning-based drought prediction using Palmer Drought Severity Index and TerraClimate data in Ethiopia

Accurate drought prediction is essential for proactive water management and agricultural planning, e

Remote Sensing for large-scale agricultural investment areas in Ethiopia – agricultural monitoring based on Earth observation time-series

Ethiopia is known to be currently food insecure and suffering from considerable food deficits. The G