Assessment of quasi-analytical algorithm for estimating the inherent optical properties in a complex cascade system
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Data
2018-09-04
Autores
Andrade, Caroline [UNESP]
Bernardo, Nariane [UNESP]
Carmo, Alisson [UNESP]
Alcantara, Enner [UNESP]
Kampel, Milton
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Spie-soc Photo-optical Instrumentation Engineers
Resumo
Several quasi-analytical algorithm (QAA) versions were developed to make it suitable for different inland water systems. QAA(BBHR) and QAA(OMW) were reparameterized based on two reservoirs from the Tiete River cascading system (Sao Paulo State, Brazil), which present widely differing compositions. Considering the purpose of monitoring the entire cascade through a unique QAA version, we aimed to assess the suitability of these two QAA versions and, in addition, another two QAA native forms (versions 5 and 6), for retrieving inherent optical properties (IOPs) in Ibitinga hydroelectric reservoir (IHR), situated in the same cascading system. In addition to that, we addressed bio-optical characterization of IHR, using spectral and water quality data collected in a field campaign conducted in July 2016. Wide spatial variability of optically significant constituent (OSC) in IHR and colored dissolved organic matter predominance in its absorption budget was observed. None of the tested QAA versions were completely suitable in retrieving absorption coefficients for IHR in all wavelengths. However, results for wavelengths commonly used as proxy for OSC concentration retrieval were satisfactory in some of the models. Therefore, the results obtained in this study shows that QAAs versions can be used for specific purposes (e.g., chlorophyll-a mapping), by employing the best model for IOPs retrieval at a specific wavelength. This highlights the challenge of copying with high optical variability in cascading systems. In this sense, further research is necessary, for either achieving a QAA reparameterized version appropriate for aquatic systems with widely differing optical properties or another analytical scheme. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
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bio-optical models, water quality, water resources monitoring, remotely sensed data
Como citar
Journal Of Applied Remote Sensing. Bellingham: Spie-soc Photo-optical Instrumentation Engineers, v. 12, n. 3, 12 p., 2018.