Updates

A flood-hazard model created by WFP and partners is helping people in Mozambique prepare for climate shocks
Preparedness
'We take thousands of aerial photos and run them through a big computer.' A flood-hazard model created by WFP and partners is helping people in Mozambique prepare for climate shocks.   ...
Site Surveys and Line of Sight
Community Participation
Damage Assessment
Crop Monitoring
Flood Modelling
Emergency response
The World Food Programme is building on its cutting-edge responses to cylones Idai and Kenneth in Mozambique.  
Site Surveys and Line of Sight
Community Participation
Damage Assessment
Communication
Emergency response
The five winners of the 2019 WFP Innovation Awards were announced yesterday at WFP’s annual Global Management Meeting in London.   ...
Community Participation
Damage Assessment
Communication
Capacity building
With 20 years of experience, Bhawana Upadhyay, ICT Officer and ETC focal point with WFP Nepal, is a legend at the World Food Programme (WFP): she was part of the emergency response when a devastating earthquake struck the country in April 2015; she was the first female deputy cluster coordinator at the ETC Operational Exercise (now gear.UP); and more recently, she was instrumental in organizing the WFP Drone training in Kathmandu.   ...
Community Participation
Crop Monitoring
Connectivity
Preparedness
Flying into a caldera in El Salvador, drones collect water for analysis and forecasting in a project backed by WFP.
Site Surveys and Line of Sight
Community Participation
Crop Monitoring
Emergency response
Following Cyclones Idai and Kenneth in Mozambique in 2019, more than 2 million people lost their homes and livelihoods. Here's a look back at how the World Food Programme leveraged the use of drones for the first time in an emergency in collaboration with the National Disaster Management Institute (INGC) to support humanitarian operations on the ground. ...
Community Participation
Damage Assessment
Flood Modelling
Communication
Capacity building
Emergency response
DEEP is a WFP machine learning application designed to automate the analysis of drone images and ultimately, help speed up the response time during emergencies. This video shows how DEEP was piloted in Mozambique in 2019.     ...
Site Surveys and Line of Sight
Community Participation
Damage Assessment
Crop Monitoring
Communication
Capacity building
Much-anticipated regional drone training offers new options for Central American humanitarian community.
Community Participation
Flood Modelling
Capacity building

The flying wizards

Spotlight on Hugo Rosales who believes drones are crucial for responding to extreme weather challenges in Central America.
Site Surveys and Line of Sight
Community Participation
Flood Modelling
Communication
Capacity building
After the successful training workshops in Mozambique and Madagascar in 2018, Ethiopia is the third African country to take part in the WFP drone capacity building. ...
Site Surveys and Line of Sight
Community Participation
Flood Modelling
Communication