Accuracy and precisions of water quality parameters retrieved from particle swarm optimisation in a sub-tropical lake
Paper
Paper/Presentation Title | Accuracy and precisions of water quality parameters retrieved from particle swarm optimisation in a sub-tropical lake |
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Presentation Type | Paper |
Authors | Campbell, Glenn (Author) and Phinn, Stuart R. (Author) |
Editors | Bostater Jr, Charles R., Mertikas, Stelios P., Neyt, Xavier and Velez-Reyes, Miguel |
Journal or Proceedings Title | Proceedings of the 12th International Society for Optical Engineering Conference (SPIE 2009) |
Journal Citation | 7473, pp. 74730G/1-74730G/12 |
Number of Pages | 12 |
Year | 2009 |
Place of Publication | United States |
ISBN | 9780819477781 |
Digital Object Identifier (DOI) | https://doi.org/10.1117/12.829737 |
Web Address (URL) of Paper | https://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/Event | SPIE 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. |
Keywords | particle swarm optimisation; water quality; error assessment; MERIS; inland waters |
ANZSRC Field of Research 2020 | 400499. Chemical engineering not elsewhere classified |
401304. Photogrammetry and remote sensing | |
400513. Water resources engineering | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Australian Centre for Sustainable Catchments |
University of Queensland |
https://research.usq.edu.au/item/9z3yx/accuracy-and-precisions-of-water-quality-parameters-retrieved-from-particle-swarm-optimisation-in-a-sub-tropical-lake
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