Accuracy and precisions of water quality parameters retrieved from particle swarm optimisation in a sub-tropical lake

Paper

Campbell, Glenn and Phinn, Stuart R.. 2009. "Accuracy and precisions of water quality parameters retrieved from particle swarm optimisation in a sub-tropical lake." Bostater Jr, Charles R., Mertikas, Stelios P., Neyt, Xavier and Velez-Reyes, Miguel (ed.) SPIE 2009: Remote Sensing of the Ocean, Sea Ice, and Large Water Regions. Berlin, Germany 31 Aug - 03 Sep 2009 United States. https://doi.org/10.1117/12.829737
Paper/Presentation Title

Accuracy and precisions of water quality parameters retrieved from particle swarm optimisation in a sub-tropical lake

Presentation TypePaper
AuthorsCampbell, Glenn (Author) and Phinn, Stuart R. (Author)
EditorsBostater Jr, Charles R., Mertikas, Stelios P., Neyt, Xavier and Velez-Reyes, Miguel
Journal or Proceedings TitleProceedings of the 12th International Society for Optical Engineering Conference (SPIE 2009)
Journal Citation7473, pp. 74730G/1-74730G/12
Number of Pages12
Year2009
Place of PublicationUnited States
ISBN9780819477781
Digital Object Identifier (DOI)https://doi.org/10.1117/12.829737
Web Address (URL) of Paperhttps://www.spiedigitallibrary.org/conference-proceedings-of-spie/7473/1/Accuracy-and-precisions-of-water-quality-parameters-retrieved-from-particle/10.1117/12.829737.short?SSO=1
Conference/EventSPIE 2009: Remote Sensing of the Ocean, Sea Ice, and Large Water Regions
Event Details
SPIE 2009: Remote Sensing of the Ocean, Sea Ice, and Large Water Regions
Event Date
31 Aug 2009 to end of 03 Sep 2009
Event Location
Berlin, Germany
Abstract

Optical remote sensing has been used to map and monitor water quality parameters such as the concentrations of hydrosols (chlorophyll and other pigments, total suspended material, and coloured dissolved organic matter). In the inversion/optimisation approach a forward model is used to simulate the water reflectance spectra from a set of parameters and the set that gives the closest match is selected as the solution. The accuracy of the hydrosol retrieval is dependent on an efficient search of the solution space and the reliability of the similarity measure. In this paper the Particle Swarm Optimisation (PSO) was used to search the solution space and seven similarity measures were trialled. The accuracy and precision of this method depends on the inherent noise in the spectral bands of the sensor being employed, as well as the radiometric corrections applied to images to calculate the subsurface reflectance. Using the Hydrolight® radiative transfer model and typical hydrosol concentrations from Lake Wivenhoe, Australia, MERIS reflectance spectra were simulated. The accuracy and precision of hydrosol concentrations derived from each similarity measure were evaluated after errors associated with the air-water interface correction, atmospheric correction and the IOP measurement were modelled and applied to the simulated reflectance spectra.The use of band specific empirically estimated values for the anisotropy value in the forward model improved the accuracy of hydrosol retrieval. The results of this study will be used to improve an algorithm for the remote sensing of water quality for freshwater impoundments.

Keywordsparticle swarm optimisation; water quality; error assessment; MERIS; inland waters
ANZSRC Field of Research 2020400499. Chemical engineering not elsewhere classified
401304. Photogrammetry and remote sensing
400513. Water resources engineering
Public Notes

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Byline AffiliationsAustralian Centre for Sustainable Catchments
University of Queensland
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