Journal of Tropical Oceanography ›› 2017, Vol. 36 ›› Issue (2): 70-78.doi: 10.11978/2016064CSTR: 32234.14.2016064

Special Issue: 海洋大数据及应用

• Orginal Article • Previous Articles     Next Articles

Retrieval of island shallow water depth from the GaoFen-1 multi-spectral imagery

Benqing CHEN(), Yanming YANG, Kai LUO   

  1. Third Institute of Oceanography, State Oceanic Administration, Xiamen, 361005, China
  • Received:2016-06-27 Revised:2016-11-04 Online:2017-03-20 Published:2017-04-06
  • Supported by:
    High Resolution Earth Observation System Special Project (41-Y30B12-9001-14/16);Promote Cross-Taiwan Strait Union Science and Technology Cooperation Fund (U1405234);Scientific Research Foundation of Third Institute of Oceanography, State Oceanic Administration (2014017)

Abstract:

It is of great significance to fully exploit the oceanic application potential of the GaoFen-1 data, which is the first domestic high-resolution satellite of Earth observation in China. In this study, a GaoFen-1 multi-spectral image is used to retrieve the island shallow water depth of Jinqing Island in Xisha sea area by adopting the dual-band linear model and log-ratio model, after serials of image processing including image geometric correction, atmospheric correction and sun-glint correction. The accuracy of the two models is evaluated by using actual water depth data. Meanwhile, possible influence factors of retrieval accuracy of island shallow water depth from satellite data are discussed. It is shown that the result from the dual-linear model is obviously better than that from the log-ratio model, and the dual-band linear model is more suitable for the retrieving shallow water depth of Jinqing Island. For water depth less than 20 m, the overall root mean square (RMS) error is 1.8 m with RMS error of 1.14 m within 5 m, which reaches the level of accuracy of water depth inversion by satellite remote sensing.

Key words: remote sensing, GaoFen-1, high-resolution satellite, island, water depth inversion

CLC Number: 

  • P714