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

研究成果: Conference contribution

摘要

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.

原文English
主出版物標題OCEANS'10 IEEE Sydney, OCEANSSYD 2010
DOIs
出版狀態Published - 2010 十一月 22
事件OCEANS'10 IEEE Sydney, OCEANSSYD 2010 - Sydney, NSW, Australia
持續時間: 2010 五月 242010 五月 27

出版系列

名字OCEANS'10 IEEE Sydney, OCEANSSYD 2010

Other

OtherOCEANS'10 IEEE Sydney, OCEANSSYD 2010
國家/地區Australia
城市Sydney, NSW
期間10-05-2410-05-27

All Science Journal Classification (ASJC) codes

  • 海洋工程

指紋

深入研究「Mapping the coastal bathymetry with FORMOSAT-2 image」主題。共同形成了獨特的指紋。

引用此