Full metadata record
DC Field | Value | Language |
---|---|---|
dc.citation.number | 4 | - |
dc.citation.startPage | 709 | - |
dc.citation.title | REMOTE SENSING | - |
dc.citation.volume | 13 | - |
dc.contributor.author | Pyo, JongCheol | - |
dc.contributor.author | Kwon, Yong Sung | - |
dc.contributor.author | Ahn, Jae-Hyun | - |
dc.contributor.author | Baek, Sang-Soo | - |
dc.contributor.author | Kwon, Yong-Hwan | - |
dc.contributor.author | Cho, Kyung Hwa | - |
dc.date.accessioned | 2023-12-21T16:14:24Z | - |
dc.date.available | 2023-12-21T16:14:24Z | - |
dc.date.created | 2021-03-29 | - |
dc.date.issued | 2021-02 | - |
dc.description.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. | - |
dc.identifier.bibliographicCitation | REMOTE SENSING, v.13, no.4, pp.709 | - |
dc.identifier.doi | 10.3390/rs13040709 | - |
dc.identifier.issn | 2072-4292 | - |
dc.identifier.scopusid | 2-s2.0-85101252335 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/52546 | - |
dc.identifier.url | https://www.mdpi.com/2072-4292/13/4/709 | - |
dc.identifier.wosid | 000624446400001 | - |
dc.language | 영어 | - |
dc.publisher | MDPI | - |
dc.title | Sensitivity Analysis and Optimization of a Radiative Transfer Numerical Model for Turbid Lake Water | - |
dc.type | Article | - |
dc.description.isOpenAccess | TRUE | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences; Geosciences, Multidisciplinary; Remote Sensing; Imaging Science & Photographic Technology | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging Science & Photographic Technology | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | HydroLight | - |
dc.subject.keywordAuthor | graphical user interface | - |
dc.subject.keywordAuthor | sensitivity analysis | - |
dc.subject.keywordAuthor | lake water | - |
dc.subject.keywordAuthor | reflectance vertical profile | - |
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