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Derivation of high-resolution bathymetry from multispectral satellite imagery: a comparison of empirical and optimisation methods through geographical error analysis

Journal Article


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Abstract


  • The high importance of bathymetric character for many processes on reefs means that high-resolution bathymetric models are commonly needed by marine scientists and coastal managers. Empirical and optimisation methods provide two approaches for deriving bathymetry from multispectral satellite imagery, which have been refined and widely applied to coral reefs over the last decade. This paper compares these two approaches by means of a geographical error analysis for two sites on the Great Barrier Reef: Lizard Island (a continental island fringing reef) and Sykes Reef (a planar platform reef). The geographical distributions of model residuals (i.e., the difference between modelled and measured water depths) are mapped, and their spatial autocorrelation is calculated as a basis for comparing the performance of the bathymetric models. Comparisons reveal consistent geographical properties of errors arising from both models, including the tendency for positive residuals (i.e., an under-prediction of depth) in shallower areas and negative residuals in deeper areas (i.e., an over-prediction of depth) and the presence of spatial autocorrelation in model errors. A spatial error model is used to generate more reliable estimates of bathymetry by quantifying the spatial structure (autocorrelation) of model error and incorporating this into an improved regression model. Spatial error models improve bathymetric estimates derived from both methods.

UOW Authors


  •   Hamylton, Sarah
  •   Hedley, John D. (external author)
  •   Beaman, Robin J. (external author)

Publication Date


  • 2015

Citation


  • Hamylton, S. M., Hedley, J. D. & Beaman, R. J. (2015). Derivation of high-resolution bathymetry from multispectral satellite imagery: a comparison of empirical and optimisation methods through geographical error analysis. Remote Sensing, 7 (12), 16257-16273.

Scopus Eid


  • 2-s2.0-84981557434

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=4755&context=smhpapers

Ro Metadata Url


  • http://ro.uow.edu.au/smhpapers/3732

Number Of Pages


  • 16

Start Page


  • 16257

End Page


  • 16273

Volume


  • 7

Issue


  • 12

Place Of Publication


  • Switzerland

Abstract


  • The high importance of bathymetric character for many processes on reefs means that high-resolution bathymetric models are commonly needed by marine scientists and coastal managers. Empirical and optimisation methods provide two approaches for deriving bathymetry from multispectral satellite imagery, which have been refined and widely applied to coral reefs over the last decade. This paper compares these two approaches by means of a geographical error analysis for two sites on the Great Barrier Reef: Lizard Island (a continental island fringing reef) and Sykes Reef (a planar platform reef). The geographical distributions of model residuals (i.e., the difference between modelled and measured water depths) are mapped, and their spatial autocorrelation is calculated as a basis for comparing the performance of the bathymetric models. Comparisons reveal consistent geographical properties of errors arising from both models, including the tendency for positive residuals (i.e., an under-prediction of depth) in shallower areas and negative residuals in deeper areas (i.e., an over-prediction of depth) and the presence of spatial autocorrelation in model errors. A spatial error model is used to generate more reliable estimates of bathymetry by quantifying the spatial structure (autocorrelation) of model error and incorporating this into an improved regression model. Spatial error models improve bathymetric estimates derived from both methods.

UOW Authors


  •   Hamylton, Sarah
  •   Hedley, John D. (external author)
  •   Beaman, Robin J. (external author)

Publication Date


  • 2015

Citation


  • Hamylton, S. M., Hedley, J. D. & Beaman, R. J. (2015). Derivation of high-resolution bathymetry from multispectral satellite imagery: a comparison of empirical and optimisation methods through geographical error analysis. Remote Sensing, 7 (12), 16257-16273.

Scopus Eid


  • 2-s2.0-84981557434

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=4755&context=smhpapers

Ro Metadata Url


  • http://ro.uow.edu.au/smhpapers/3732

Number Of Pages


  • 16

Start Page


  • 16257

End Page


  • 16273

Volume


  • 7

Issue


  • 12

Place Of Publication


  • Switzerland