{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,3]],"date-time":"2026-05-03T10:07:59Z","timestamp":1777802879323,"version":"3.51.4"},"reference-count":92,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,2,15]],"date-time":"2021-02-15T00:00:00Z","timestamp":1613347200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/rs13040709","type":"journal-article","created":{"date-parts":[[2021,2,15]],"date-time":"2021-02-15T05:52:49Z","timestamp":1613368369000},"page":"709","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Sensitivity Analysis and Optimization of a Radiative Transfer Numerical Model for Turbid Lake Water"],"prefix":"10.3390","volume":"13","author":[{"given":"JongCheol","family":"Pyo","sequence":"first","affiliation":[{"name":"Center for Environmental Data Strategy, Korea Environment Institute, Sejong 30147, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong Sung","family":"Kwon","sequence":"additional","affiliation":[{"name":"Environmental Impact Assessment Team, Division of Ecological Assessment, National Institute of Ecology, Seocheon 33657, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2240-4562","authenticated-orcid":false,"given":"Jae-Hyun","family":"Ahn","sequence":"additional","affiliation":[{"name":"Korea Ocean Satellite Center, Korea Institute of Ocean Science and Technology, Busan 49111, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sang-Soo","family":"Baek","sequence":"additional","affiliation":[{"name":"School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 689-798, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong-Hwan","family":"Kwon","sequence":"additional","affiliation":[{"name":"Electronics and Telecommunication Research Institute, 218 Gajeong-ro, Yeseong-gu, Daejeon 305-700, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyung Hwa","family":"Cho","sequence":"additional","affiliation":[{"name":"School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 689-798, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/j.rse.2016.12.013","article-title":"Using Landsat to Extend the Historical Record of Lacustrine Phytoplankton Blooms: A Lake Erie Case Study","volume":"191","author":"Ho","year":"2017","journal-title":"Remote Sens. 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