Skip to main navigation Skip to search Skip to main content

Evaluation of Chinese Quad-polarization Gaofen-3 SAR Wave Mode Data for Significant Wave Height Retrieval

  • Shuai Zhu
  • , Weizeng Shao*
  • , Marino Armando
  • , Jian Shi
  • , Jian Sun
  • , Xinzhe Yuan
  • , Jiachen Hu
  • , Dongkai Yang
  • , Juncheng Zuo
  • *Corresponding author for this work
  • Zhejiang Ocean University
  • University of Stirling
  • National University of Defense Technology
  • Ocean University of China and Qingdao National Laboratory for Marine Science and Technology
  • Ministry of Natural Resources of the People's Republic of China

Research output: Contribution to journalArticlepeer-review

Abstract

Our work describes the accuracy of Chinese quad-polarization Gaofen-3 (GF-3) synthetic aperture radar (SAR) wave mode data for wave retrieval and provides guidance for the operational applications of GF-3 SAR. In this study, we evaluated the accuracy of the SAR-derived significant wave height (SWH) from 10,514 GF-3 SAR images with visible wave streaks acquired in wave mode by using the existing wave retrieval algorithms, e.g., the theoretical-based algorithm parameterized first-guess spectrum method (PFSM), the empirical algorithm CSAR_WAVE2 for VV-polarization, and the algorithm for quad-polarization (Q-P). The retrieved SWHs were compared with the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis field with 0.125° grids. The root mean square error (RMSE) of the SWH is 0.57 m, found using CSAR_WAVE2, and this RMSE value was less than the RMSE values for the analysis results achieved with the PFSM and Q-P algorithms. The statistical analysis also indicated that wind speed had little impact on the bias with increasing wind speed. However, the retrieval tended to overestimate when the SWH was smaller than 2.5 m and underestimate with an increasing SWH. This behavior provides a perspective of the improvement needed for the SWH retrieval algorithm using the GF-3 SAR acquired in wave mode.

Original languageEnglish
Pages (from-to)588-600
Number of pages13
JournalCanadian Journal of Remote Sensing
Volume44
Issue number6
DOIs
StatePublished - 2 Nov 2018

Fingerprint

Dive into the research topics of 'Evaluation of Chinese Quad-polarization Gaofen-3 SAR Wave Mode Data for Significant Wave Height Retrieval'. Together they form a unique fingerprint.

Cite this