Mapping of Hurricane Ida Damages

In today's PI meeting, the UMass group presented example images of regions affected by the recent landfall of Hurricane Ida near New Orleans. A change analysis of the Capella SAR images of a region around an oil refinery (see September 8 update) enabled the generation of a simple map of flooded areas (not shown here). Furthermore, a Capella SAR image of Grand Isle, LA, acquired on September 10, was compared to a Google Earth image from the time before the hurricane and a composite aerial photograph from NOAA survey flights between August 30 and September 1, after the hurricane. The buildings and other structures visible in the aerial photographs are resolved by the SAR as well. Furthermore, the SAR image reveals that the main road along the island, which was still covered by mud at the time of the NOAA flights, had been cleared by September 10.

While these examples show what kind of information can be derived from simple SAR intensity images, the temporal order of the aerial survey and the later SAR image acquisition is not representative of what we intend to achieve in this project. The capability of spaceborne SAR to acquire images independent of weather conditions and sunshine should usually allow us to acquire SAR images during or very soon after a hurricane's landfall, before optical images can be taken from aircraft, drones, or satellites.

Related Updates

October 7, 2022

Hurricane Ian Response

Task 3B met our project objectives to rapidly deploy water level and wave sensors in cross-shore transects, spanning offshore to inland, to collect data for model validation, following a short but effective timeline.

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October 7, 2022

Directional Wave Spectra Drifter Array Measures Massive Waves on Hurricane Ian’s Approach

by Martha Schönau, Luca Centurioni, Steve Jayne, and Elizabeth Sanabia

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October 5, 2022

FHICS – Successful forecast of Hurricane Ian impacts

Hurricane Ian was the first 2022 hurricane to make landfall in the continental USA with strong Cat 5 winds and large amounts of rain. The team of Deltares USA, Deltares Netherlands, USGS and NRL successfully applied the COSMOS modelling system to forecast hurricane Ian’s flood and morphological impact.

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