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

Cited 2 time in WEB OF SCIENCE Cited 3 time in Scopus
Title
Sensitivity Analysis and Optimization of a Radiative Transfer Numerical Model for Turbid Lake Water
Author(s)
Pyo, JongCheol; Kwon, Yong Sung; Ahn, Jae Hyun; Baek, Sang-Soo; Kwon, Yong-Hwan; Cho, Kyung Hwa
KIOST Author(s)
Ahn, Jae Hyun(안재현)
Alternative Author(s)
안재현
Publication Year
2021-02
Abstract
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 R-2 values of over 0.98. Thus, a strong relationship between the backscattering coefficient and the observed cyanobacteria genera cells was identified.
ISSN
2072-4292
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/40016
DOI
10.3390/rs13040709
Bibliographic Citation
REMOTE SENSING, v.13, no.4, pp.1 - 21, 2021
Publisher
MDPI
Keywords
HydroLight; graphical user interface; sensitivity analysis; lake water; reflectance vertical profile
Type
Article
Language
English
Document Type
Article
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