9 May 2016 Airborne mapping of shallow water bathymetry in the optically complex waters of the Baltic Sea
Ele Vahtmäe, Tiit Kutser
Author Affiliations +
Abstract
Accurate determination of the water depth is important for marine spatial planning, producing maritime charts for navigation, seabed morphology studies, and carrying out different activities in the coastal waters. Bathymetric data are lacking foremost in the shallow water regions as those areas are often inaccessible to the hydrographic ships carrying out echo sounding measurements. Remote sensing technology can be used as an alternative for shallow water bathymetry mapping. Varieties of empirical methods have been proposed for bathymetry retrieval, where the relationship between remotely sensed radiance of the water body and the water depth at sampled locations was established empirically. Two most widely used depth derivation methods, the linear band model proposed by Lyzenga (1978, 1985, 2006), and the log-transformed band ratio model proposed by Stumpf et al. (2003), were applied to the different preprocessing level airborne Hyspex hyperspectral images from the optically complex Baltic Sea area and evaluated for accuracy. Results showed that the Lyzenga linear band model outperformed the Stumpf log-transformed band ratio model. The best results were achieved with the atmospherically corrected images. The application of glint correction did not improve, but even reduced the accuracy of bathymetric maps.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2016/$25.00 © 2016 SPIE
Ele Vahtmäe and Tiit Kutser "Airborne mapping of shallow water bathymetry in the optically complex waters of the Baltic Sea," Journal of Applied Remote Sensing 10(2), 025012 (9 May 2016). https://doi.org/10.1117/1.JRS.10.025012
Published: 9 May 2016
Lens.org Logo
CITATIONS
Cited by 25 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Atmospheric modeling

Water

RGB color model

Reflectivity

Ocean optics

Data modeling

Coastal modeling

RELATED CONTENT

Naval EarthMap Observer (NEMO) science and naval products
Proceedings of SPIE (November 18 1998)
Environmental effects in ocean color remote sensing
Proceedings of SPIE (August 19 2009)

Back to Top