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DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 416 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 407 | - |
dc.citation.title | REMOTE SENSING LETTERS | - |
dc.citation.volume | 7 | - |
dc.contributor.author | Pyo, JongCheol | - |
dc.contributor.author | Ha, SeongHyeon | - |
dc.contributor.author | Yakov A. Pachepsky | - |
dc.contributor.author | Lee, Hyuk | - |
dc.contributor.author | Ha, Rim | - |
dc.contributor.author | Nam, Gibeom | - |
dc.contributor.author | Kim. Moon S. | - |
dc.contributor.author | Im, Jungho | - |
dc.contributor.author | Cho, Kyung Hwa | - |
dc.date.accessioned | 2023-12-22T00:10:09Z | - |
dc.date.available | 2023-12-22T00:10:09Z | - |
dc.date.created | 2016-03-10 | - |
dc.date.issued | 2016-02 | - |
dc.description.abstract | Bio-optical algorithms have been applied to monitor water quality in surface water systems. Empirical algorithms have been applied to estimate the chlorophyll-a (chl-a) concentrations. However, the performance of each algorithm severely degrades at concentrations notably lower than 10 mg m−3. This could be attributed to the chl-a specific absorption coefficient that became less consistent at low chl-a concentrations. Nonetheless, no effort has been made in previous studies to correct existing algorithms. In this study, we propose a correction approach to improve their performance for chl-a estimation in Yiam reservoir, Korea. Estimated chl-a concentrations of the algorithms improved after applying the correction process proposed in this study; Nash-Sutcliffe efficiency values increased from 53% to 65% and root mean square error decreased from 39% to 43%, respectively. Further research is needed to verify the correction approaches for different years or study sites. | - |
dc.identifier.bibliographicCitation | REMOTE SENSING LETTERS, v.7, no.5, pp.407 - 416 | - |
dc.identifier.doi | 10.1080/2150704X.2016.1142680 | - |
dc.identifier.issn | 2150-704X | - |
dc.identifier.scopusid | 2-s2.0-84962305285 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/18749 | - |
dc.identifier.url | http://www.tandfonline.com/doi/abs/10.1080/2150704X.2016.1142680 | - |
dc.identifier.wosid | 000370314000001 | - |
dc.language | 영어 | - |
dc.publisher | TAYLOR & FRANCIS LTD | - |
dc.title | Chlorophyll-a concentration estimation using three difference bio-optical algorithms, including a correction for the low-concentration range: the case of the Yiam reservoir, Korea | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Remote Sensing; Imaging Science & Photographic Technology | - |
dc.relation.journalResearchArea | Remote Sensing; Imaging Science & Photographic Technology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | EUTROPHICATION | - |
dc.subject.keywordPlus | PHYTOPLANKTON | - |
dc.subject.keywordPlus | QUALITY | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordPlus | TELEDETECTION | - |
dc.subject.keywordPlus | RETRIEVALS | - |
dc.subject.keywordPlus | LAKE | - |
dc.subject.keywordPlus | REMOTE-SENSING TECHNIQUES | - |
dc.subject.keywordPlus | COASTAL WATERS | - |
dc.subject.keywordPlus | INLAND WATERS | - |
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