Satellite-Derived Bathymetry for Improving Canadian Hydrographic Service Charts

被引:62
作者
Chenier, Rene [1 ]
Faucher, Marc-Andre [1 ]
Ahola, Ryan [1 ]
机构
[1] Canadian Hydrog Serv, 200 Kent St, Ottawa, ON K1A 0E6, Canada
关键词
Canadian Hydrographic Service; empirical approach; high resolution; multispectral; nautical charts; remote sensing; Satellite Derived Bathymetry; MULTISPECTRAL SATELLITE; WATER DEPTH; IMAGERY; DERIVATION;
D O I
10.3390/ijgi7080306
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Approximately 1000 Canadian Hydrographic Service (CHS) charts cover Canada's oceans and navigable waters. Many charts use information collected with techniques that predate the more advanced technologies available to Hydrographic Offices (HOs) today. Furthermore, gaps in survey data, particularly in the Canadian Arctic where only 6% of waters are surveyed to modern standards, are also problematic. Through a Canadian Space Agency (CSA) Government Related Initiatives Program (GRIP) project, CHS is exploring remote sensing techniques to assist with the improvement of Canadian navigational charts. Projects exploring optical/Synthetic Aperture Radar (SAR) shoreline extraction and change detection, as well as optical Satellite-Derived Bathymetry (SDB), are currently underway. This paper focuses on SDB extracted from high-resolution optical imagery, highlighting current results as well as the challenges and opportunities CHS will encounter when implementing SDB within its operational chart production process. SDB is of particular interest to CHS due to its ability to supplement depths derived from traditional hydrographic surveys. This is of great importance in shallow and/or remote Canadian waters where achieving wide-area depth coverage through traditional surveys is costly, time-consuming and a safety risk to survey operators. With an accuracy of around 1 m, SDB could be used by CHS to fill gaps in survey data and to provide valuable information in dynamic areas.
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页数:15
相关论文
共 20 条
[1]  
DigitalGlobe, 2017, STAND IM DAT SHEET
[2]   Derivation of High-Resolution Bathymetry from Multispectral Satellite Imagery: A Comparison of Empirical and Optimisation Methods through Geographical Error Analysis [J].
Hamylton, Sarah M. ;
Hedley, John D. ;
Beaman, Robin J. .
REMOTE SENSING, 2015, 7 (12) :16257-16273
[3]   Simple and robust removal of sun glint for mapping shallow-water benthos [J].
Hedley, JD ;
Harborne, AR ;
Mumby, PJ .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2005, 26 (10) :2107-2112
[4]  
International Hydrographic Organization IHO, 2014, S 57 SUPPL NO 3 SUPP
[5]  
International Hydrographic Organization (IHO), 2017, REG IHO INT INT CHAR
[6]   Landsat ETM+ images in the estimation of seasonal lake water quality in boreal river basins [J].
Kallio, Kari ;
Attila, Jenni ;
Harma, Peka ;
Koponen, Sampsa ;
Pulliainen, Jouni ;
Hyytiainen, Ulla-Maija ;
Pyhalahti, Timo .
ENVIRONMENTAL MANAGEMENT, 2008, 42 (03) :511-522
[8]   Integrating Quickbird Multi-Spectral Satellite and Field Data: Mapping Bathymetry, Seagrass Cover, Seagrass Species and Change in Moreton Bay, Australia in 2004 and 2007 [J].
Lyons, Mitchell ;
Phinn, Stuart ;
Roelfsema, Chris .
REMOTE SENSING, 2011, 3 (01) :42-64
[9]  
Lyzenga D.R., 1981, International Journal Remote Sensing, V2, P71, DOI DOI 10.1080/01431168108948342
[10]   PASSIVE REMOTE-SENSING TECHNIQUES FOR MAPPING WATER DEPTH AND BOTTOM FEATURES [J].
LYZENGA, DR .
APPLIED OPTICS, 1978, 17 (03) :379-383