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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 - Institute of Electrical and Electronics Engineers. DOI: 10.1109/TGRS.2009.2037143 ISSN 0196-2892

Full text not available from this repository.

Abstract

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.

Item URL in elib:https://elib.dlr.de/54577/
Document Type:Article
Title:Tropical Cyclone Intensity Estimated from Wide Swath SAR Images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Reppucci, AntonioUNSPECIFIEDUNSPECIFIED
Lehner, SusanneUNSPECIFIEDUNSPECIFIED
Schulz-Stellenfleth, JohannesUNSPECIFIEDUNSPECIFIED
Brusch, StephanUNSPECIFIEDUNSPECIFIED
Date:March 2010
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:48
DOI :10.1109/TGRS.2009.2037143
Page Range:1639 -1649
Editors:
EditorsEmail
Ruf, ChristopherUniversity Michigan
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Series Name:IEEE Transactions on Geosciene and Remote Sensing
ISSN:0196-2892
Status:Published
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:INVALID USER
Deposited On:29 Mar 2010 09:08
Last Modified:08 Mar 2018 18:33

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