期刊
APPLIED OPTICS
卷 55, 期 7, 页码 1738-1750出版社
OPTICAL SOC AMER
DOI: 10.1364/AO.55.001738
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资金
- National Aeronautics and Space Administration (NASA) [NNX14AQ47A, NNX14AR65G]
- National Oceanic and Atmospheric Administration (NOAA) [DG133E-12-SE-1931]
- National Natural Science Foundation of China (NSFC) [41376177]
- Ministry of Science and Technology of China [2013BAB04B00]
- Natural Science Foundation of China [41401597]
We evaluated three key components in modeling hyperspectral remote-sensing reflectance in the visible to short-wave-infrared (Vis-SWIR) domain of high-sediment-load (HSL) waters, which are the relationship between remote-sensing reflectance (R-rs) and inherent optical properties (IOPs), the absorption coefficient spectrum of pure water (a(w)) in the IR-SWIR region, and the spectral variation of sediment absorption coefficient (a(sed)). Results from this study indicate that it is necessary to use a more generalized R-rs-IOP model to describe the spectral variation of R-rs of HSL waters from Vis to SWIR; otherwise it may result in a spectrally distorted R-rs spectrum if a constant model parameter is used. For hyperspectral a(w) in the IR-SWIR domain, the values reported in Kou et al. (1993) provided a much better match with the spectral variation of R-rs in this spectral range compared to that of Segelstein (1981). For a(sed) spectrum, an empirical a(sed) spectral shape derived from sample measurements is found working much better than the traditional exponential-decay function of wavelength in modeling the spectral variation of R-rs in the visible domain. These results would improve our understanding of the spectral signatures of R-rs of HSL waters in the Vis-SWIR domain and subsequently improve the retrieval of IOPs from ocean color remote sensing, which could further help the estimation of sediment loading of such waters. Limitations in estimating chlorophyll concentration in such waters are also discussed. (C) 2016 Optical Society of America
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