Science-informed initiatives, technology and innovation output, informing policy-making and practice, co-designing, co-producing and co-delivering new knowledge.
The forecasting system we developed is essentially an intelligent computer program that can predict whether it will rain, how intense that rain will be and how long it will last at any location with greater than 90% accuracy at least 96 hours in advance.
This study proposes a framework for a IoT-based local landslide early warning system (Lo-LEWS). Monitoring, modelling, forecasting and warning represent the main phases of the proposed framework.
Initiatives using new technologies for agriculture have recently emerged to support farmers dealing with the impacts of climate change in Egypt. Global warming stands to curb food production under higher temperatures and lower rainfalls.
This report is intended for local technological agencies of island nations that work to operationalize UAVs as a standard data collection tool.
World Bank, the
Global Facility for Disaster Reduction and Recovery, the
Humanitarian OpenStreetMap Team
Department of Foreign Affairs and Trade
Open Data for Resilience Initiative
This document describes how Unmanned Aerial Vehicles (UAVs) enables Fiji and Tonga, pacific island states, to assess disaster and climate risk and rapidly identify damage to the environment in post-disaster situations.
Global Facility for Disaster Reduction and Recovery, the
This report explores how advanced analytics and artificial intelligence (a pairing referred to the report simply as “AI”) are tools uniquely positioned to help manage the complex issues brought about by climate change.
Continuing drought brings food insecurity and a risk for emerging or ongoing conflict in Kenya, Ethiopia and Somalia, as well as Iraq, Iran and Afghanistan, according to a new quarterly update that analyses finds from a global early warning tool.
United Nations Educational, Scientific and Cultural Office - IHE DELFT Institute for Water Education
