The particle swarm optimisation for spectral matching applied to inland water quality remote sensing

Paper

Campbell, G., Phinn, S., Dekker, A. and Brando, V.. 2011. "The particle swarm optimisation for spectral matching applied to inland water quality remote sensing." 34th International Symposium on Remote Sensing of Environment. Sydney, Australia 10 - 15 Apr 2011 Sydney, Australia.
Paper/Presentation Title

The particle swarm optimisation for spectral matching applied to inland water quality remote sensing

Presentation TypePaper
AuthorsCampbell, G. (Author), Phinn, S. (Author), Dekker, A. (Author) and Brando, V. (Author)
Journal or Proceedings TitleProceedings of the 34th International Symposium on Remote Sensing of Environment
Number of Pages4
Year2011
Place of PublicationSydney, Australia
Web Address (URL) of Paperhttp://isrse34.org/
Conference/Event34th International Symposium on Remote Sensing of Environment
Event Details
34th International Symposium on Remote Sensing of Environment
Event Date
10 to end of 15 Apr 2011
Event Location
Sydney, Australia
Abstract

Spectrum matching is one approach to estimating water quality parameter concentrations (chlorophyll a, tripton and coloured dissolved organic matter (CDOM)) from remotely sensed images of inland waters. The Particle Swarm Optimisation (PSO) is a stochastic search technique that can be used to search the solution space for the closest match and deliver the best estimate of the water quality parameter concentrations. For Burdekin Falls Dam, a tropical freshwater impoundment, the PSO and four different matching criteria were applied to MERIS images to retrieve the water quality parameters. The mean retrieval error of the best performed similarity measure was 2.0 μgl-1, 2.45 mgl-1 and 0.3 m-1 for chlorophyll a, tripton and CDOM respectively. The paper found that the PSO, as implemented in this case, did not offer improvements in accuracy and precision sufficient enough to justify the increased computational overhead in the inversion.

Keywordsinland water, Particle Swarm Optimisation, phytoplankton, tripton, CDOM
ANZSRC Field of Research 2020401304. Photogrammetry and remote sensing
410404. Environmental management
Public Notes

No evidence of copyright restrictions preventing deposit.

Byline AffiliationsAustralian Centre for Sustainable Catchments
University of Queensland
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
Institution of OriginUniversity of Southern Queensland
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