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 R2 values of over 0.98. Thus, a strong relationship between the backscattering coefficient and the observed cyanobacteria genera cells was identified.
Highlights
Remote sensing has become a prevalent technique for detecting the dynamics of harmful algae magnitude and timing through the analysis of the optical features of water bodies [1,2,3]
This study developed graphical user interface (GUI) software to perform a sensitivity analysis of the parameters of the HydroLight model using multiple executions
The GUI model carried out the Latin hypercube (LH)
Summary
Remote sensing has become a prevalent technique for detecting the dynamics of harmful algae magnitude and timing through the analysis of the optical features of water bodies [1,2,3]. Sensitivity analysis is carried out by generating an input parameter matrix using a random sampling method, conducting a model simulation, and evaluating the influence and significance of input and output relationships [21]. Parameter calibration was conducted to identify the optimal values of the parameters that are highly sensitive to the optical features of inland water. To achieve these objectives, this study (1) designed a MATLAB. GUI structure, (2) built the GUI configuration for sensitivity analysis with multiple executions of HydroLight, (3) implemented the parameter sensitivity analysis for the vertical reflectance in the lake, and (4) optimized the HydroLight parameters for evaluating the reflectance spectra at the surface and beneath the surface of the lake water, in addition to depths of 0.5 m and 1.0 m
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