DocumentCode :
2221887
Title :
Sea state measurements using TerraSAR-X data
Author :
Bruck, Miguel ; Lehner, Susanne
Author_Institution :
Remote Sensing Inst., German Aerosp. Center (DLR), Wessling, Germany
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
7609
Lastpage :
7612
Abstract :
Synthetic Aperture Radar (SAR) is a unique sensor able to provide two dimensional information on meteo-marine parameters of the ocean surface e.g. wind speed and wave height. We present an algorithm (XWAVE) to derived significant wave height (Hs) from TerraSAR-X (TS-X) data without the need of a priori information. The algorithm is based on spectral analyses of TS-X data, using a Geophysical model function, the coefficients are fitted to collocated in-situ buoy measurements using the least squares method. Wind speed information provided by the wind speed estimation XMOD algorithm [1] is combined in the XWAVE algorithm as well. Sea state parameters derived from TS-X data using the proposed algorithm have been compared to in-situ buoy measurements. Additionally, the one dimensional spectra are compared to the wave spectrum provided by the one given by the NOOA buoys. The SAR wave peak direction is also compared to the wave peak direction given by directional buoys. Sea state properties in coastal areas change rapidly in the spatial domain. TS-X data are especially suitable for the study of sea state variability in coastal areas due to its high resolution. Coastal wave fields have been derived from TS-X data and verified with numerical wave model results and with in-situ buoy measurements for the collated point in the area of the North Sea.
Keywords :
data analysis; geophysical image processing; ocean waves; oceanographic regions; oceanographic techniques; spectral analysis; synthetic aperture radar; wind; NOOA buoys; North Sea; SAR wave peak direction; TerraSAR-X data; XWAVE algorithm; buoy measurements; coastal areas; coastal wave fields; collated point; directional buoys; geophysical model function; least squares method; meteomarine parameters; numerical wave model; ocean surface; sea state measurements; sea state parameters; sea state properties; sea state variability; significant wave height; spatial domain; spectral analyses; synthetic aperture radar; wave spectrum; wind speed estimation XMOD algorithm; wind speed information; Satellites; Sea measurements; Synthetic aperture radar; Wavelength measurement; Wind speed; TerraSAR-X; Wave height; coastal wavefield; sea state measurements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6351866
Filename :
6351866
Link To Document :
بازگشت