DocumentCode
3056454
Title
Locating tropical cyclones with integrated SAR and optical satellite imagery
Author
Ke Wang ; Xiaojing Li ; Linlin Ge
Author_Institution
Geosci. & Earth Observing Syst. Group (GEOS), Univ. of New South Wales, Sydney, NSW, Australia
fYear
2013
fDate
21-26 July 2013
Firstpage
1626
Lastpage
1629
Abstract
Tropical cyclones (TC) are the most damaging natural hazards for coastal residents because of the associated casualties and property losses. The difficulties of recognizing and locating the eyes of TCs in previous research are because of cloud obstructions in optical images, especially during the formation stage of a TC. The distinct advantage of synthetic aperture radar (SAR) lies in its capability of cloud penetration and hence detection of signal response from sea surface backscatters, which can be used for better detection the eyes of TCs. The aim of this project is to pinpoint the track of a TC by studying the characteristic pattern of its eye, in order to predict its behavior by applying remotely sensed MODIS and ASAR data. This paper uses morphological operators to analyze and extract the region covered by the eye of a TC for the purpose of determining the relative centre of a TC´s eye, and then derive the most probable path.
Keywords
backscatter; clouds; remote sensing by laser beam; remote sensing by radar; storms; synthetic aperture radar; ASAR data; TC formation stage; TC track; cloud obstructions; cloud penetration; coastal residents; cyclone eye; damaging natural hazards; integrated SAR; morphological operators; optical satellite imagery; remotely sensed MODIS; sea surface backscatters; synthetic aperture radar; tropical cyclone location; Australia; Correlation; Fitting; Image resolution; MODIS; Morphology; Optical imaging; SAR; Tropical cyclones; morphological analysis; satellite remote sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location
Melbourne, VIC
ISSN
2153-6996
Print_ISBN
978-1-4799-1114-1
Type
conf
DOI
10.1109/IGARSS.2013.6723103
Filename
6723103
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