Swell parameters retrieval using ALOS/PALSAR data

Yongliang Wei, Hiroshi Kawamura, Zeyan Tang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings
Pages2416-2419
Number of pages4
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Melbourne, VIC, Australia
Duration: 2013 Jul 212013 Jul 26

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
CountryAustralia
CityMelbourne, VIC
Period13/7/2113/7/26

Keywords

  • NOWPHAS
  • PALSAR
  • SAR spectrum
  • surface wave spectrum
  • swell parameter retrieval

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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