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

Campbell, Glenn and Phinn, Stuart R. (2009) Accuracy and precisions of water quality parameters retrieved from particle swarm optimisation in a sub-tropical lake. In: SPIE 2009: Remote Sensing of the Ocean, Sea Ice, and Large Water Regions, 31 Aug-3 Sep 2009, Berlin, Germany.

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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.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. Article number 74730G
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 08 Sep 2010 05:09
Last Modified: 24 Feb 2015 03:15
Uncontrolled Keywords: particle swarm optimisation; water quality; error assessment; MERIS; inland waters
Fields of Research : 09 Engineering > 0905 Civil Engineering > 090508 Water Quality Engineering
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
09 Engineering > 0905 Civil Engineering > 090509 Water Resources Engineering
Socio-Economic Objective: D Environment > 96 Environment > 9611 Physical and Chemical Conditions of Water > 961199 Physical and Chemical Conditions of Water not elsewhere classified
Identification Number or DOI: 10.1117/12.829737

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