The particle swarm optimisation for spectral matching applied to inland water quality remote sensing
Paper
Paper/Presentation Title | The particle swarm optimisation for spectral matching applied to inland water quality remote sensing |
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Presentation Type | Paper |
Authors | Campbell, G. (Author), Phinn, S. (Author), Dekker, A. (Author) and Brando, V. (Author) |
Journal or Proceedings Title | Proceedings of the 34th International Symposium on Remote Sensing of Environment |
Number of Pages | 4 |
Year | 2011 |
Place of Publication | Sydney, Australia |
Web Address (URL) of Paper | http://isrse34.org/ |
Conference/Event | 34th 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. |
Keywords | inland water, Particle Swarm Optimisation, phytoplankton, tripton, CDOM |
ANZSRC Field of Research 2020 | 401304. Photogrammetry and remote sensing |
410404. Environmental management | |
Public Notes | No evidence of copyright restrictions preventing deposit. |
Byline Affiliations | Australian Centre for Sustainable Catchments |
University of Queensland | |
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q0q78/the-particle-swarm-optimisation-for-spectral-matching-applied-to-inland-water-quality-remote-sensing
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