Skip to main content

Estimating the coverage of coral reef benthic communities from airborne hyperspectral remote sensing data: Multiple discriminant function analysis and linear spectral unmixing

Journal Article


Download full-text (Open Access)

Abstract


  • A staged approach for the application of linear spectral unmixing techniques to

    airborne hyperspectral remote sensing data of reef communities of the Al Wajh

    Barrier, Red Sea, is presented. Quantification of the percentage composition of

    four different reef components (live coral, dead coral, macroalgae and carbonate

    sand) contained within the ground sampling distance associated with an individual

    pixel is demonstrated. In the first stage, multiple discriminant function analysis

    is applied to spectra collected in situ to define an optimal subset combination of

    derivative and raw image wavebands for discriminating reef benthos. In the second

    phase, unmixing is applied to a similarly reduced subset of pre-processed image

    data to accurately determine the relative abundance of the reef benthos (R2 > 0.7

    for all four components). The result of a phased approach is an increased signal-

    to-noise ratio for solution of the linear functions and reduction of processing

    burdens associated with image unmixing.

Publication Date


  • 2011

Citation


  • Hamylton, S. (2011). Estimating the coverage of coral reef benthic communities from airborne hyperspectral remote sensing data: Multiple discriminant function analysis and linear spectral unmixing. International Journal of Remote Sensingg, 32 (24), 9673-9690.

Scopus Eid


  • 2-s2.0-82155179315

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2084&context=scipapers

Ro Metadata Url


  • http://ro.uow.edu.au/scipapers/1018

Has Global Citation Frequency


Number Of Pages


  • 17

Start Page


  • 9673

End Page


  • 9690

Volume


  • 32

Issue


  • 24

Abstract


  • A staged approach for the application of linear spectral unmixing techniques to

    airborne hyperspectral remote sensing data of reef communities of the Al Wajh

    Barrier, Red Sea, is presented. Quantification of the percentage composition of

    four different reef components (live coral, dead coral, macroalgae and carbonate

    sand) contained within the ground sampling distance associated with an individual

    pixel is demonstrated. In the first stage, multiple discriminant function analysis

    is applied to spectra collected in situ to define an optimal subset combination of

    derivative and raw image wavebands for discriminating reef benthos. In the second

    phase, unmixing is applied to a similarly reduced subset of pre-processed image

    data to accurately determine the relative abundance of the reef benthos (R2 > 0.7

    for all four components). The result of a phased approach is an increased signal-

    to-noise ratio for solution of the linear functions and reduction of processing

    burdens associated with image unmixing.

Publication Date


  • 2011

Citation


  • Hamylton, S. (2011). Estimating the coverage of coral reef benthic communities from airborne hyperspectral remote sensing data: Multiple discriminant function analysis and linear spectral unmixing. International Journal of Remote Sensingg, 32 (24), 9673-9690.

Scopus Eid


  • 2-s2.0-82155179315

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2084&context=scipapers

Ro Metadata Url


  • http://ro.uow.edu.au/scipapers/1018

Has Global Citation Frequency


Number Of Pages


  • 17

Start Page


  • 9673

End Page


  • 9690

Volume


  • 32

Issue


  • 24