Sensitivity Analysis and Optimization of a Radiative Transfer Numerical Model for Turbid Lake Water

Remote sensing can detect and map algal blooms. The HydroLight (Sequoia Scientific Inc., Bellevue, Washington, DC, USA) model generates the reflectance profiles of various water bodies. However, the influence of model parameters has rarely been investigated for inland water. Moreover, the simulation...

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Bibliographic Details
Published inRemote sensing (Basel, Switzerland) Vol. 13; no. 4; p. 709
Main Authors Pyo, JongCheol, Kwon, Yong Sung, Ahn, Jae-Hyun, Baek, Sang-Soo, Kwon, Yong-Hwan, Cho, Kyung Hwa
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.02.2021
Subjects
Algae
Algal blooms
Backscattering
Calibration
Computer programs
Cyanobacteria
Eutrophication
Graphical user interface
HydroLight
Inland waters
lake water
Lakes
Mathematical models
Numerical models
Optical properties
Optimization
Parameter estimation
Parameter sensitivity
Radiative transfer
Reflectance
reflectance vertical profile
Remote sensing
Sensitivity analysis
Simulation
Software
Water quality
United States > US
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Summary:Remote sensing can detect and map algal blooms. The HydroLight (Sequoia Scientific Inc., Bellevue, Washington, DC, USA) model generates the reflectance profiles of various water bodies. However, the influence of model parameters has rarely been investigated for inland water. Moreover, the simulation time of the HydroLight model increases as the amount of input data increases, which limits the practicality of the HydroLight model. This study developed a graphical user interface (GUI) software for the sensitivity analysis of the HydroLight model through multiple executions. The GUI software stably performed parameter sensitivity analysis and substantially reduced the simulation time by up to 92%. The GUI software results for lake water show that the backscattering ratio was the most important parameter for estimating vertical reflectance profiles. Based on the sensitivity analysis results, parameter calibration of the HydroLight model was performed. The reflectance profiles obtained using the optimized parameters agreed with observed profiles, with R2 values of over 0.98. Thus, a strong relationship between the backscattering coefficient and the observed cyanobacteria genera cells was identified.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs13040709