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: Charles R. Bostater, Jr., Stelios P. Mertikas, Xavier Neyt and Miguel Velez-Reyes, Proceedings of SPIE: Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2009. Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2009, Berlin, Germany, (74730G-1-74730G-12). 31 August 2009. doi:10.1117/12.829737

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Author Campbell, Glenn
Phinn, Stuart R.
Title of paper Accuracy and precisions of water quality parameters retrieved from particle swarm optimisation in a sub-tropical lake
Conference name Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2009
Conference location Berlin, Germany
Conference dates 31 August 2009
Proceedings title Proceedings of SPIE: Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2009   Check publisher's open access policy
Journal name Proceedings of SPIE - The International Society for Optical Engineering   Check publisher's open access policy
Place of Publication Bellingham, WA, United States
Publisher SPIE - International Society for Optical Engineering
Publication Year 2009
Sub-type Fully published paper
DOI 10.1117/12.829737
Open Access Status File (Publisher version)
ISBN 9780819477781
ISSN 0277-786X
1996-756X
Editor Charles R. Bostater, Jr.
Stelios P. Mertikas
Xavier Neyt
Miguel Velez-Reyes
Volume 7473
Start page 74730G-1
End page 74730G-12
Total pages 12
Language eng
Abstract/Summary 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.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes Article # 74730G

 
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Created: Wed, 21 Sep 2011, 14:18:05 EST by Stuart Phinn on behalf of School of Geography, Planning & Env Management