Shallow Marine

SWIM algorithm for derivation of substrate hue and water depths - Shark Bay, W.A. case-study

The SWIM algorithm was designed to derive substrate colour information in shallow marine environments utilising visible spectral imagery. This is achieved by first deriving bathymetry (water depths) and removing this effect on image contrast.

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Bierwirth, P. N., Lee, T., Burne, R. V. (1993) Shallow sea-floor reflectance and water depth derived by unmixing multispectral imagery. Photogrammetric Engineering and Remote Sensing, 59, (3), pp331-338.

Bierwirth, P. N., Lee, T., Burne, R. V. (1992) Shallow sea-floor reflectance and water depth derived by unmixing multispectral imagery. Proceedings of the First Thematic Conference, Remote Sensing for Marine and Coastal Environments, New Orleans.

Bierwirth, P.N. (1993). Advanced remote sensing for mapping shallow marine environments. AGSO research newsletter. (18), p14,15.

Bierwirth, P. N., Lee, T. J. and Burne, R. V., (1992). Shallow water mapping via the separation of depth and substrate components from multispectral data: an example from Useless Inlet, Shark Bay, Western Australia. Proceedings of the Sixth Australasian Remote Sensing Conference. Wellington, New Zealand. 1, p99-109.

Bierwirth, P. N., Lee, T., Burne, R. V. (1991) Unmixing of shallow sea-floor reflectance and water depth using multispectral imagery. Proceedings of the conference on Remote Sensing and GIS for Coastal Catchment Management. September, 1991, p223-242.

Bierwirth, P.N., and Miller, P.A. (1994). Multispectral 3D perspective imaging of the shallow sea-floor. Proceedings of the Seventh Australasian Remote Sensing Conference. Melbourne, March, 1994 , 3, pp37-42.

Coastal and Marine Remote Sensing algorithms and examples

Coastal and Marine Remote Sensing Project for Geoscience Australia