Special Section on Aquatic Remote Sensing Applications in Environmental Monitoring and Management

Retrieving key benthic cover types and bathymetry from hyperspectral imagery

[+] Author Affiliations
Wojciech M. Klonowski, Peter R. Fearns, Mervyn J. Lynch

Curtin University of Technology

J. Appl. Remote Sens. 1(1), 011505 (December 26, 2007). doi:10.1117/1.2816113
History: Received April 4, 2007; Revised October 8, 2007; Accepted October 19, 2007; December 26, 2007; Online December 26, 2007
Text Size: A A A

Abstract

Bathymetry and the spatial distribution of benthic cover in coastal waters are of key importance in managing and monitoring our coastal water environments. Currently very little of the Western Australian shallow coastal water habitats are mapped, and for those maps that do exist, the spatial resolution generally is poor and the information is dated. Aircraft and space-borne hyperspectral sensors have been shown to be useful in imaging substrate features in shallow coastal waters. This paper describes a method for quantitatively estimating both bathymetry and benthic cover in shallow waters from hyperspectral imagery. The method incorporates a shallow water reflectance model, which accounts for the water column absorption and backscattering, water depth and substrate reflectance. The model was tested against simulated reflectance data, demonstrating the models' ability to retrieve appropriate fractional coverage of sediment, sea grass and brown algae for depths ranging from 1 - 12 m. The model was applied to a HyMap image encompassing a portion of the Jurien Bay Marine Park off the coast of Western Australia. The retrieved benthic cover products were compared to underwater video observations sampled within the image. The comparison shows the method's great potential for characterizing key aspects of marine ecosystems from remotely sensed hyperspectral data.

© 2007 Society of Photo-Optical Instrumentation Engineers

Citation

Wojciech M. Klonowski ; Peter R. Fearns and Mervyn J. Lynch
"Retrieving key benthic cover types and bathymetry from hyperspectral imagery", J. Appl. Remote Sens. 1(1), 011505 (December 26, 2007). ; http://dx.doi.org/10.1117/1.2816113


Figures

Tables

Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.