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http://dx.doi.org/10.7780/kjrs.2021.37.5.1.22

Estimation of Benthic Microalgae Chlorophyll-a Concentration in Mudflat Surfaces of Geunso Bay Using Ground-based Hyperspectral Data  

Koh, Sooyoon (Department of Civil and Environmental Engineering, Pusan National University)
Noh, Jaehoon (Marine Ecosystem Research Center, Korea Institute of Ocean Science and Technology)
Baek, Seungil (Department of Civil and Environmental Engineering, Pusan National University)
Lee, Howon (Marine Ecosystem Research Center, Korea Institute of Ocean Science and Technology)
Won, Jongseok (Marine Ecosystem Research Center, Korea Institute of Ocean Science and Technology)
Kim, Wonkook (Department of Civil and Environmental Engineering, Pusan National University)
Publication Information
Korean Journal of Remote Sensing / v.37, no.5_1, 2021 , pp. 1111-1124 More about this Journal
Abstract
Mudflats are crucial for understanding the ecological structure and biological function of coastal ecosystem because of its high primary production by microalgae. There have been many studies on measuring primary productivity of tidal flats for the estimation of organic carbon abundance, but it is relatively recent that optical remote sensing technique, particularly hyperspectral sensing, was used for it. This study investigates hyperspectral sensing of chlorophyll concentration on a tidal flat surface, which is a key variable in deriving primary productivity. The study site is a mudflat in Geunso bay, South Korea and field campaigns were conducted at ebb tide in April and June 2021. Hyperspectral reflectance of the mudflat surfaces was measured with two types of hyperspectral sensors; TriOS RAMSES (directionalsensor) and the Specim-IQ (camera sensor), and Normal Differenced Vegetation Index (NDVI) and Contiuum Removal Depth (CRD) were used to estimate Chl-a from the optical measurements. The validation performed against independent field measurements of Chl-a showed that both CRD and NDVI can retrieve surface Chl-a with R2 around 0.7 for the Chl-a range of 0~150 mg/m2 tested in this study.
Keywords
Hyperspectral data; Remote sensing; Mud flat; Chlorophyll-a;
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