The PREVIEW Global Risk Data Platform is a multiple agencies effort to share spatial data information on global risk from natural hazards. Users can visualise, download or extract data on past hazardous events, human & economical hazard exposure and risk from natural hazards. It covers tropical cyclones and related storm surges, drought, earthquakes, biomass fires, floods, landslides, tsunamis and volcanic eruptions. The collection of data is made via a wide range of partners (see About for data sources). This was developed as a support to the Global Assessment Report on Disaster Risk Reduction (GAR) and replace the previous PREVIEW platform already available since 2000. Many improvements were made on the data and on the application

Mozambique: Cyclone Idai Responding Organisations Presence (Completed and ongoing as of 18 April 2019)

Flooding caused by the Tropical Cyclone Idai weather system since early March has affected nearly 3 million people and caused at least 678 deaths in Malawi, Mozambique and Zimbabwe.

Map shows the population (based on WorldPop at 100m resolution generating through AI) and the Flood Extents known as of 19/20 March 2019 plus Health facilities

This map illustrates satellite-detected, potential damaged structures in Muisne, Esmeraldas Province, Ecuador. The analyzed area is located approximately 30 km north of the 16 April 2016 Muisne earthquake mainshock epicenter. This analysis is carried out using Pléiades satellite image acquired 20 April 2016 and a WorldView-3 image acquired 12 March 2016. UNITAR-UNOSAT identified 450 potentially damaged structures of which 139 are destroyed, 206 severely damaged, and 105 moderately damaged. This map illustrates satellite-detected, potential damaged structures in Muisne, Esmeraldas Province, Ecuador. The analyzed area is located approximately 30 km north of the 16 April 2016 Muisne earthquake mainshock epicenter. This analysis is carried out using Pléiades satellite image acquired 20 April 2016 and a WorldView-3 image acquired 12 March 2016. UNITAR-UNOSAT identified 450 potentially damaged structures of which 139 are destroyed, 206 severely damaged, and 105 moderately damaged. This is a preliminary analysis and not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT