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- W4210644246 abstract "<strong class=journal-contentHeaderColor>Abstract.</strong> Using data collected by the Hyperspectral Imager for the Coastal Ocean (HICO) on the International Space Station between 2010â2014, hyperspectral reflectance spectra of various floating matters in global oceans and lakes are derived for the spectral range of 400â800ânm. Specifically, the entire HICO archive of 9411 scenes is first visually inspected to identify suspicious image slicks. Then, a nearest-neighbor atmospheric correction is used to derive surface reflectance of slick pixels. Finally, a spectral unmixing scheme is used to derive the reflectance spectra of floating matters. Analysis of the spectral shapes of these various floating matters (macroalgae, microalgae, organic particles, whitecaps) through the use of a spectral angle mapper (SAM) index indicates that they can mostly be distinguished from each other without the need for ancillary information. Such reflectance spectra from the consistent 90âm resolution HICO observations are expected to provide spectral endmembers to differentiate and quantify the various floating matters from existing multi-band satellite sensors and future hyperspectral satellite missions such as NASA's Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission; Geosynchronous Littoral Imaging and Monitoring Radiometer (GLIMR) mission; and Surface Biology and Geology (SBG) mission. All spectral data are available at <a href=https://doi.org/10.21232/74LvC3Kr>https://doi.org/10.21232/74LvC3Kr</a> (Hu, 2021b)." @default.
- W4210644246 created "2022-02-08" @default.
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- W4210644246 date "2022-02-03" @default.
- W4210644246 modified "2023-10-01" @default.
- W4210644246 title "Reply on RC2" @default.
- W4210644246 doi "https://doi.org/10.5194/essd-2021-321-ac2" @default.
- W4210644246 hasPublicationYear "2022" @default.
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