Hurricane Maria - gust footprints

1. Hurricane Irma's gust footprint for 3-sec maximum gusts through to 9UT 7th September 2017. 2. Hurricane Irma's forecast gust swathe out to 120hrs lead for 3-sec maximum gusts (issued 9UT 7th September). 3. Hurricane Irma peak 3-sec gust footprints in kml format (through 15UT 11th Sept 2017) Credit - Tropical Storm Risk/UCL

Tropical Storm Risk - University College London - gust footprint for Matthew in kml format. If you zoom in (using Google Earth) the footprint shows the towns and villages in western Haiti which UCL model predicts will be worst affected by wind damage (with peak gusts of 160 mph (260 kmph)).

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

This map illustrates potentially damaged structures and buildings in the north-western part of Dominica (St. John, St. Andrew, St. Peter & St. Joseph Parishes) as detected by satellite images acquired after landfall of the Tropical Cyclone Maria-17 on 19 September 2017. UNITAR-UNOSAT analysis used a Pleiades images acquired on 20 and 23 September 2017 as post imagery. Within the extent of this map UNITAR-UNOSAT identified in the cloud free zones about 3723 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 70 % of the total number of structures within the analysed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Includes Assessment, two shapefiles: basemaps

This map illustrates potentially damaged structures and buildings in Southern Dominica as detected by satellite image acquired after landfall of the Tropical Cyclone Maria-17 on 19 September 2017. UNITAR-UNOSAT analysis used a Pleiades image acquired on 23 September 2017 as post imagery. Within the extent of this map UNITAR-UNOSAT identified in the cloud free areas of southern Dominica 2482 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represent about 80 % of the total number of structures within the analysed area. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.