Hurricane Irma's gust footprint for 3-sec maximum gusts through to 9UT 7th September 2017. Hurricane Irma's forecast gust swathe out to 120hrs lead for 3-sec maximum gusts (issued 9UT 7th September). Hurricane Irma peak 3-sec gust footprints in kml format (through 15UT 11th Sept 2017) Credit - Tropical Storm Risk/UCL

Includes information from several data sources about Damages and needs assessment

Population exposure estimates based on tropical cyclone IRMA-17 path observed and predicted at 7 September 2017.

This dataset illustrates the tropical cyclone IRMA-17 path with low, medium and strong wind impact zones observed and predicted at 7 September 2017. The tropical cyclone path and wind speed zones were derived from Joint Research Centre data (Warning 33 issued the 07 th September 2017 at 09:00 UTC). This is a preliminary analysis and has not yet been validated in the field.

Locations for responding NetHope NGO members in Puerto Rico, following Hurricanes Irma and Maria. Represented organizations include: American Red Cross, Americares, DirectRelief, Feeding America, Global Communities, Habitat for Humanity, International Medical Corps, Mercy Corps, Oxfam America, Samaritan's Purse, Save the Children, and World Vision.

This dataset contains distribution tracking data for water, food, NFIs and shelter items in Dominica in the aftermath of Hurricane Irma. The coordination team in Dominica has been working with partners to make the data as accurate as possible. Please share your distribution to any locations directly to the available dataset created by the team in Dominica or send your information or queries to hurricanemaria2017@undac.org

This dataset illustrates satellite-detected potential damaged buildings in Anguilla Island, following the landfall of Tropical Cyclone IRMA-17 on September 6, 2017. The UNITAR-UNOSAT analysis used a Kompsat-3 satellite image acquired on 9 February 2017 and WorldView-2 image acquired on 5 July 2017 as pre-imagery and Pleiades satellite imagery acquired on the 7 & 8 September 2017 as a post-imagery. The UNITAR-UNOSAT analysis identified 2,147 potentially damaged structures within the analyzed area that was not covered by clouds. According to the pre-building footprints, inside the area free of clouds, provided by Humanitarian Open Street Map, this represents 42% of potentially affected structures in Anguilla.

This dataset illustrates satellite-detected potential damaged buildings in Barbuda Island following the landfall of Tropical Cyclone IRMA-17 on September 6, 2017. The UNITAR-UNOSAT analysis used a Pleiades satellite image acquired on 8 September 2017 as post imagery. The UNITAR-UNOSAT analysis identified 1,071 potentially damaged structures within Codrington town in Barbuda. According to the pre-building footprints provided by Humanitarian Open Street Map, this represents 89% of potentially affected structures in Codrington town. The analysis could have been underestimated due to cloud cover. This is a preliminary analysis and has not yet been validated in the field.