Research Papers

Modification and validation of a quasi-analytical algorithm for inherent optical properties in the turbid waters of Poyang Lake, China

[+] Author Affiliations
Jue Huang

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, 129 Luoyu Road, Wuhan 430079, China

Liqiong Chen

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, 129 Luoyu Road, Wuhan 430079, China

Xiaoling Chen

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, 129 Luoyu Road, Wuhan 430079, China

Liqiao Tian, Lian Feng

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, 129 Luoyu Road, Wuhan 430079, China

Hervé Yesou

Université de Strasbourg, SERTIT, Bld Sébastien Brant, BP 10413, Illkirch 67412, France

Fangfang Li

National University of Defense Technology, College of Information Systems and Management, Changsha 410073, China

J. Appl. Remote Sens. 8(1), 083643 (Apr 28, 2014). doi:10.1117/1.JRS.8.083643
History: Received December 2, 2013; Revised March 25, 2014; Accepted March 27, 2014
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Abstract.  Knowing the inherent optical properties (IOPs) of water bodies is useful for many water environment studies and applications. To derive the IOPs from remote sensing reflectance, a multiband quasi-analytical algorithm (QAA) was modified and validated for the highly turbid Poyang Lake in China. In order to supplement and expand the dynamic variation range of the measured water optical properties, a Hydrolight simulated dataset was generated to develop a regional QAA (QAA710) for this area. The QAA710 model was then validated with simulated data, simulated data with random noise, and in situ data. The results show that the effects of random noise (within ±20%) of remote-sensing reflectance on the derived total absorption coefficients (at) and the particulate backscattering coefficients (bbp) by the QAA710 model are insignificant (a band-averaged mean relative error of 4.1% and 12.0%, respectively). The validation of in situat shows a 28.6% mean relative difference. The model process, modeling data, and validation data introduce uncertainties into the derived results. These analyses demonstrate that the QAA710 model, based on the characterization of local environments, performs well in retrieving Poyang Lake’s IOPs.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Jue Huang ; Liqiong Chen ; Xiaoling Chen ; Liqiao Tian ; Lian Feng, et al.
"Modification and validation of a quasi-analytical algorithm for inherent optical properties in the turbid waters of Poyang Lake, China", J. Appl. Remote Sens. 8(1), 083643 (Apr 28, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.083643


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