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Application of Spectral Indices to Drone-based Multispectral Remote Sensing for Algal Bloom Monitoring in the River
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하천 녹조 모니터링을 위한 드론 다중분광영상의 분광지수 적용성 평가

논문 기본 정보

Type
Academic journal
Author
Eunyoung Choe (환경부) Kyung Mi Jung (환경부) Yoon Jongsu (환경부) Jong Hee Jang (환경부) Mi-Jung Kim (환경부) Ho Joong Lee (환경부)
Journal
The Korean Society Of Remote Sensing 대한원격탐사학회지 대한원격탐사학회지 제37권 제3호 KCI Accredited Journals
Published
2021.1
Pages
419 - 430 (12page)

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Application of Spectral Indices to Drone-based Multispectral Remote Sensing for Algal Bloom Monitoring in the River
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Remote sensing techniques using drone-based multispectral image were studied for fast and two-dimensional monitoring of algal blooms in the river. Drone is anticipated to be useful for algal bloom monitoring because of easy access to the field, high spatial resolution, and lowering atmospheric light scattering. In addition, application of multispectral sensors could make image processing and analysis procedures simple, fast, and standardized. Spectral indices derived from the active spectrum of photosynthetic pigments in terrestrial plants and phytoplankton were tested for estimating chlorophyll-a concentrations (Chl-a conc.) from drone-based multispectral image. Spectral indices containing the red-edge band showed high relationships with Chl-a conc. and especially, 3-band model (3BM) and normalized difference chlorophyll index (NDCI) were performed well (R2=0.86, RMSE=7.5). NDCI uses just two spectral bands, red and red-edge, and provides normalized values, so that data processing becomes simple and rapid. The 3BM which was tuned for accurate prediction of Chl-a conc. in productive water bodies adopts originally two spectral bands in the red-edge range, 720 and 760 nm, but here, the near-infrared band replaced the longer red-edge band because the multispectral sensor in this study had only one shorter red-edge band. This index is expected to predict more accurately Chl-a conc. using the sensor specialized with the red-edge range.

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