Inversion of inherent optical properties in optically complex waters using sentinel-3A/OLCI images: A case study using China's three largest freshwater lakes
Inversion of inherent optical properties in optically complex waters using sentinel-3A/OLCI images: A case study using China's three largest freshwater lakes
复制标题
使用 Sentinel-3A/OLCI 图像反演光学复杂水域的固有光学特性：以中国三大淡水湖为例
DOI：
10.1016/j.rse.2019.03.006
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发表时间：
2019
影响因子：
13.5
通讯作者：
Cao Zhigang
中科院分区：
文献类型：
--
作者：
Xue Kun;Ma Ronghua;Duan Hongtao;Shen Ming;Boss Emmanuel;Cao Zhigang
固有光学特性在水下光场中起着重要作用，在光学复杂的沃茨中，利用卫星数据难以准确估计固有光学特性。为了在适当的时间和空间尺度上研究水质，有必要发展从空间观测中获得具有量化不确定性的IOP的方法。从2011年至2017年在长江和淮河下游（LYHR）的中国三大淡水湖（巢湖，太湖和洪泽湖）的17次调查中收集了现场测量的IOP数据（N = 405）。在这里，我们提供了一个案例研究如何使用原位观察的IOP设计一个改进的算法检索的IOP。然后，我们将此算法应用于观察与哨兵-3A OLCI（海洋和陆地颜色仪器，与我们改进的AC方案校正），并使用原位数据表明，该算法的性能优于标准OLCI IOP产品。我们使用卫星衍生的产品来研究这三个湖泊中的IOP和光学活性成分的空间和季节分布，包括叶绿素a（Chla）和悬浮颗粒物（SPM），使用2017年LYHR流域湖泊的所有无云OLCI图像（115个场景）。我们的研究提供了一个战略，利用本地和远程观测，以获得必要的资源，如水库，湖泊和沿海沃茨管理的重要水质参数。
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.