Comprehensive Multi-Hazard Risk Assessment in Data-Scarce Regions. A Study Focused on Burundi

Soil Erosion Modelling and Risk Assessment in Data Scarce Rift Valley Lake Regions, Ethiopia

To prolong the useful life of lakes and reservoirs, prioritizing watersheds by severity and risk of

Spark-Towers/multi-hazard-agricultural-climate-risk: v0.9.2 – Multi-hazard maize risk code

Summary First archived release of the code used in the article: S. Grosse, T. Berchoux, H. Belhouc

The role of open exposure data and reproducible research for large-area multi-hazard risk applications in economically developing countries. The case study of Burundi

<p>A consistent and comprehensive understanding of risk related to multiple natural ha

Spark-Towers/multi-hazard-agricultural-climate-risk

Multi-hazard risk assessment for South African maize production . # Repository: Multi-Hazard Risk A

Development of a physical vulnerability model for floods in data-scarce regions

Knowledge on flood risk, typically originating from data on past hazard, is a key input for developi

Dataset and Model Code for SWAT+ and Machine Learning Assessment of Satellite Precipitation in Data-Scarce Regions

Description:

This repository contains the c