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Emergency Flood Response in Republic of the Congo

Over 3 years, Cloud to Street enabled Republic of the Congo’s government to quickly identify floods in days instead of weeks, relocate at-risk refugees at risk, secure millions in emergency aid, and target relief to the most high-impact populations during major emergencies.

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Emergency Flood Response

Satellite imaging reveals increased proportions of population exposed to floods

Case Studies

Flood Monitoring in Sudan

Emergency Flood Response in Republic of the Congo

Scientific Posts

January 24, 2018

Earth Observation Open Science and Innovation

Mapping Floods and Assessing Flood Vulnerability for Disaster Decision-Making: A Case Study Remote Sensing Application in Senegal

Using Disaster Outcomes to Validate Components of Social Vulnerability to Floods: Flood Deaths and Property Damage across the USA

September 7, 2021

Sen1Floods11: A Georeferenced Dataset to Train and Test Deep Learning Flood Algorithms for Sentinel-1

October 16, 2020

Environmental Research Letters

Comparing Earth Observation and Inundation Models to Map Flood Hazards

From Cloud to Refugee Camp: A Satellite-Based Flood Analytics Case-Study in Congo-Brazzaville

Satellite Imaging Reveals Increased Proportions of Population Exposed to Floods

Insurance Government and Humanitarian Organizations

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