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Tropical Cyclone Intensity Estimated from Wide Swath SAR Images

Reppucci, Antonio and Lehner, Susanne and Schulz-Stellenfleth, Johannes and Brusch, Stephan (2010) Tropical Cyclone Intensity Estimated from Wide Swath SAR Images. IEEE Transactions on Geoscience and Remote Sensing, 48 (4), 1639 -1649. IEEE Geoscience and Remote Sensing Society . DOI: 10.1109/TGRS.2009.2037143. ISSN 0196-2892 .

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Due to the relatively small amount of in situ data available for the open oceans, remote sensing techniques take an important role in the retrieval of geophysical information, particularly during extreme events. The work presented here aims at the improvement of prediction of cyclone intensity using synthetic aperture radar (SAR) images. A new method to measure the hurricane intensity using SAR images, in combination with a parametric Holland-type model of wind speed, is presented. The algorithm is based on a least square minimization of the difference between the parametric model results and the SAR measurement. The radius of the maximum wind speed, required as input for the minimization procedure, is estimated from the SAR image using wavelet analysis. Information on wind direction is extracted from the SAR image through analysis of image features caused by boundary layer rolls. The root-mean-square error of the suggested method has been validated to be equal to 3.9 m/s. The study is based on a data set of wide-swath SAR images of about 400 km $times$ 400 km coverage, acquired by the European Envisat satellite, over tropical cyclones. As a case study, hurricane Katrina is investigated in detail. A total of five tropical cyclone images will be used to validate the results of the new algorithm.

Document Type:Article
Title:Tropical Cyclone Intensity Estimated from Wide Swath SAR Images
AuthorsInstitution or Email of Authors
Reppucci, AntonioUNSPECIFIED
Lehner, SusanneUNSPECIFIED
Schulz-Stellenfleth, JohannesUNSPECIFIED
Brusch, StephanUNSPECIFIED
Date:March 2010
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
In Open Access:No
In ISI Web of Science:Yes
Page Range:1639 -1649
Ruf, ChristopherUniversity Michigan
Publisher:IEEE Geoscience and Remote Sensing Society
Series Name:IEEE Transactions on Geosciene and Remote Sensing
Keywords:Remote sensing , tropical cyclones
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Entwicklung und Erprobung von Verfahren zur Gewässerfernerkundung (old)
Location: Berlin-Adlershof , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Marine Remote Sensing
Deposited By: Bärbel Bolowski
Deposited On:29 Mar 2010 09:08
Last Modified:07 Feb 2013 20:23

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