담수 녹조 모니터링을 위한 GLORIA 및 Sentinel-2 연계 활용성 평가
Due to the recent anomalous climatic conditions, the mean summer temperaturein Korea for the current year reached 25.6°C, marking the highest temperaturerecorded since 1973. Concurrently, the incidence of large-scale green algal bloomshas escalated beyond the typical frequency in the four principal...
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Published in | Geo Data pp. 451 - 462 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | Korean |
Published |
(사)지오에이아이데이터학회
01.12.2024
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Subjects | |
Online Access | Get full text |
ISSN | 2713-5004 |
DOI | 10.22761/GD.2024.0044 |
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Summary: | Due to the recent anomalous climatic conditions, the mean summer temperaturein Korea for the current year reached 25.6°C, marking the highest temperaturerecorded since 1973. Concurrently, the incidence of large-scale green algal bloomshas escalated beyond the typical frequency in the four principal river systems. TheMinistry of Environment has instituted a water quality monitoring network aimedat gathering data pertinent to water quality assessment and regulatory measures;however, the reliance on discrete point data imposes constraints on comprehendingthe spatial distribution and proliferation of green algae. Techniques for remotemonitoring of green algae utilizing satellite imagery may serve as an alternative orcomplementary resource to conventional point-based water quality assessments.
In the present study, we devised and critically assessed an algorithm for the remoteestimation of freshwater chlorophyll-a concentrations through the analysis ofSentinel-2 satellite data. Given the challenges associated with field data collection,the GLORIA dataset was employed, and three variations of the CatBoost algorithmwere developed based on different input variables, with their effectivenessconcerning Sentinel-2 satellite data subjected to evaluation. Among the threealgorithms, the variant that was trained utilizing variables such as band ratio andspectral shape was contrasted with 76 field measurements of surface chlorophyll-a,demonstrating a commendable accuracy with an R value of 0.79, root meansquare error of 10.1 mg/m3 when applied to the GLORIA dataset. The chlorophyll-aquantification algorithm predicated on Sentinel-2 satellite data, which wasdeveloped in this study, holds the potential to be utilized effectively for collaborativemanagement and responsive measures regarding green algae by providing objectiveinsights into the prevalence of green algae across extensive areas, temporal trends,and localized hotspots. KCI Citation Count: 0 |
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ISSN: | 2713-5004 |
DOI: | 10.22761/GD.2024.0044 |