Environmental and sensor limitations in optical remote sensing of coral reefs: implications for monitoring and sensor design

Hedley, John D., Roelfsema, Chris M., Phinn, Stuart R. and Mumby, Peter J. (2012) Environmental and sensor limitations in optical remote sensing of coral reefs: implications for monitoring and sensor design. Remote Sensing, 4 1: 271-302. doi:10.3390/rs4010271


 
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Author Hedley, John D.
Roelfsema, Chris M.
Phinn, Stuart R.
Mumby, Peter J.
Title Environmental and sensor limitations in optical remote sensing of coral reefs: implications for monitoring and sensor design
Journal name Remote Sensing   Check publisher's open access policy
ISSN 2072-4292
Publication date 2012-01
Sub-type Article (original research)
DOI 10.3390/rs4010271
Open Access Status DOI
Volume 4
Issue 1
Start page 271
End page 302
Total pages 32
Place of publication Basel, Switzerland
Publisher M D P I AG
Collection year 2013
Language eng
Abstract A generic method was developed for analysing the capabilities of optical remote sensing of aquatic systems in terms of environmental components and imaging sensor configurations. The method was based on a component based model of the entire system in which not only benthic composition but other environmental components such as water inherent optical properties (IOPs), bathymetry, sun elevation, wind speed and sensor noise characteristics were defined by datasets with the potential to include across-image variation. The model was applied to data from Pacific Ocean reefs in an airborne sensor context to estimate the primary environmental or sensor factors confounding discrimination of benthic mixtures of key reef types: live coral, bleached coral, dead coral and macroalgae. Results indicate that spectral variation of benthic types and sub-pixel mixing is the primary limiting factor for benthic mapping objectives, whereas instrument noise levels are a minor factor.
Keyword Remote sensing
Benthic
Aquatic
Inherent optical properties
Coral reefs
Bleaching
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Citation counts: TR Web of Science Citation Count  Cited 32 times in Thomson Reuters Web of Science Article | Citations
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Created: Wed, 31 Oct 2012, 16:21:31 EST by Gail Walter on behalf of School of Biological Sciences