DocumentCode :
3061652
Title :
Swell parameters retrieval using ALOS/PALSAR data
Author :
Yongliang Wei ; Kawamura, Hidenori ; Zeyan Tang
Author_Institution :
Coll. of Marine Sci., Shanghai Ocean Univ., Shanghai, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
2416
Lastpage :
2419
Abstract :
We have developed retrieval methods for swell parameters such as wave height, wavelength, and wave propagation direction from images of ALOS/PALSAR taken over coastal seas around Japan. The retrieval methods for wavelength and wave direction used the PALSAR image spectrum. Using the coupling swell spectra and the PALSAR image spectra, an empirical L-band modulation transfer function (MTFL-band) was obtained for the wave height retrieval through linear regression analysis. A comparison between SAR-derived and in situ wave parameters showed close agreement. For the wave direction, the bias, root mean-square error (RMSE) and correlation coefficient were 1.3°, 15.5° and 0.94, respectively. For the wavelength, the bias, RMSE and correlation coefficient were 10.4 m, 18.3 m and 0.93, respectively. These results demonstrate that the L-band SAR imaging mechanism for swells is mostly linear. For the wave height, the bias, RMSE and correlation coefficient were 0.08 m, 0.30 m and 0.80, respectively.
Keywords :
ocean waves; oceanographic regions; oceanographic techniques; optical transfer function; radar imaging; regression analysis; remote sensing by radar; synthetic aperture radar; wave propagation; ALOS/PALSAR data; ALOS/PALSAR images; Japan; L-band SAR imaging mechanism; PALSAR image spectrum; SAR-derived wave parameters; coastal seas; correlation coefficient; empirical L-band modulation transfer function; in-situ wave parameters; linear regression analysis; retrieval methods; root mean-square error; swell parameter retrieval; swell spectra; wave direction; wave height; wave height retrieval; wave propagation direction; Correlation coefficient; L-band; Sea measurements; Sea surface; Surface waves; Synthetic aperture radar; NOWPHAS; PALSAR; SAR spectrum; surface wave spectrum; swell parameter retrieval;
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.2013.6723307
Filename :
6723307
Link To Document :
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