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- W2940671783 endingPage "346" @default.
- W2940671783 startingPage "328" @default.
- W2940671783 abstract "Abstract Inherent optical properties (IOPs) play an important role in underwater light field, and are difficult to estimate accurately using satellite data in optically complex waters. To study water quality in appropriate temporal and spatial scales, it is necessary to develop methods to obtain IOPs form space-based observation with quantified uncertainties. Field-measured IOP data (N = 405) were collected from 17 surveys between 2011 and 2017 in the three major largest freshwater lakes of China (Lake Chaohu, Lake Taihu, and Lake Hongze) in the lower reaches of the Yangtze River and Huai River (LYHR). Here we provide a case-study on how to use in-situ observation of IOPs to devise an improved algorithm for retrieval of IOPs. We then apply this algorithm to observation with Sentinel-3A OLCI (Ocean and Land Colour Instrument, corrected with our improved AC scheme), and use in-situ data to show that the algorithm performs better than the standard OLCI IOP product. We use the satellite derived products to study the spatial and seasonal distributions of IOPs and concentrations of optically active constituents in these three lakes, including chlorophyll-a (Chla) and suspended particulate matter (SPM), using all cloud-free OLCI images (115 scenes) over the lakes in the LYHR basin in 2017. Our study provides a strategy for using local and remote observations to obtain important water quality parameters necessary to manage resources such as reservoirs, lakes and coastal waters." @default.
- W2940671783 created "2019-05-03" @default.
- W2940671783 creator A5003848639 @default.
- W2940671783 creator A5004134714 @default.
- W2940671783 creator A5030104268 @default.
- W2940671783 creator A5073498273 @default.
- W2940671783 creator A5082163778 @default.
- W2940671783 creator A5084074011 @default.
- W2940671783 date "2019-05-01" @default.
- W2940671783 modified "2023-10-17" @default.
- W2940671783 title "Inversion of inherent optical properties in optically complex waters using sentinel-3A/OLCI images: A case study using China's three largest freshwater lakes" @default.
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