Mapping the coastal bathymetry with FORMOSAT-2 image

Shih Jen Huang, Nan Jung Kuo, Chung Ru Ho, Cheng Han Tsai, Hsien Wen Li, Yao Tsai Lo, Dong-Jiing Doong, Hung Jen Lee, Young Zehr Kehr

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


In this study, the FORMOSAT-2 satellite data was used to estimate the bathymetry directly or through unsupervised classification first. Both the satellite retrieved water depths were corrected by the in-situ tidal data. The no-classified results show that more than 82% satellite-derived water depths have the error below 20% comparing with the in-situ data. Meanwhile, its root mean square error is 2.5 m. After classification, it is found that class 4 and 5 are located on the water region. Therefore, the retrieved water depth can be calculated just in class 4 and 5 regions. At class 4, there are 77% of data points having the error less than 20%. Its root mean square error is 2.7m. At class 5, more than 81% data points with the error below 20% and its root mean square error is 1.0m. The results indicate that the shallow water depth could be mapped accurately from FORMOSAT-2 image. Moreover, the satellite data has the potential to become an important tool for bathymetry map based on its spatial coverage, frequent interval, and safety.

Original languageEnglish
Title of host publicationOCEANS'10 IEEE Sydney, OCEANSSYD 2010
Publication statusPublished - 2010 Nov 22
EventOCEANS'10 IEEE Sydney, OCEANSSYD 2010 - Sydney, NSW, Australia
Duration: 2010 May 242010 May 27

Publication series



OtherOCEANS'10 IEEE Sydney, OCEANSSYD 2010
CitySydney, NSW

All Science Journal Classification (ASJC) codes

  • Ocean Engineering


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