Date of Image:

Multiple

Date of Next Image:

None Expected

Summary:

NASA Earth Applied Sciences Disasters Program project scientists used the Bangladesh building exposure dataset, developed by the UK Space Agency funded “Modelling Exposure Through Earth Observation Routines” (METEOR) project, to estimate the number and value of buildings in Bangladesh affected by recent Tropical Cyclone Amphan. The building exposure layer was created for Bangladesh under project METEOR and was used in response to Tropical Cyclone Amphan. The primary objective of METEOR is to develop innovative application of Earth Observation (EO) technologies to improve understanding of the built environment or exposure in 47 Least Developed Countries (LDCs) including Bangladesh. The METEOR project consortium is a composed of eight organizations crossing four continents and with expertise spanning from natural hazard science to remote sensing, from exposure development to risk modeling, and disaster risk management and reduction to policy advice.

The wind data were provided by Kinetic Analysis Corporation (KAC). The maximum wind footprints are computed using KAC models and past event records from JTWC forecast advisories. The winds represent maximum 2-minute sustained winds at 10 m and account for the effects to land use and land cover and wind trajectory.

Suggested Use:

This map can be used to identify areas where buildings are at an increased exposure in Bangladesh due to Cyclone Amphan.

Satellite/Sensor:

Multiple EO datasets were used including: Visible Infrared Imaging Radiometer Suite (NASA/NOAA), Landscan (ORNL), Global Human Settlement layers (EC-JRC), Global Impervious Surface Area (IMPSA), Global Rural-Urban Mapping Project (GRUMP), High Resolution Settlement Layer (HRSL), Global Human Settlement Layer (Landsat-8 and Sentinel-1 based), European Commission Joint Research Centre (EC-JRC) Global Sentinel-1 SAR RGB-based mosaic, and Global Urban Footprint (GUF). Number of buildings and area values are modelled using census and OpenStreetMap building data.

VIIRS: https://ngdc.noaa.gov/eog/viirs/download_dnb_composites.html

Landscan: https://landscan.ornl.gov/

GHSL & S-1 SAR: https://ghsl.jrc.ec.europa.eu/

GRUMP: https://sedac.ciesin.columbia.edu/data/collection/grump-v1

HRSL: https://ciesin.columbia.edu/data/hrsl/

GUF: https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-9628/16557_read-40454/

CENSUS: http://www.bbs.gov.bd/

OSM: https://www.openstreetmap.org/

Resolution:

15 arcsecond (500 meters at the equator)

Credits:

METEOR Consortium, ImageCat Inc., Kinetic Analysis Corporation