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| 1 | Parameterization of water component absorption in an inland eutrophic lake and its seasonal variability: a case study in Lake Taihu显示文摘 | Deyong Sun Yunmei Li Qiao Wang Chengfeng Le Changchun Huang Lizhen Wang | 2009 | International Journal of Remote Sensing2009，，13： | 1 |
| 2 | Partitioning particulate scattering and absorption into contributions of phytoplankton and non-algal particles in winter in Lake Taihu (China)显示文摘 | Deyong Sun Yunmei Li Qiao Wang Heng Lv Chengfeng Le Changchun Huang Shaoqi Gong | 2010 | Hydrobiologia2010，，1： | 1 |
| 3 | Optically active substances and their contributions to the underwater light climate in Lake Taihu, a large shallow lake in China显示文摘 | Zhang Yunlin Zhang Bing Ma Ronghua Feng Shen Le Chengfeng | 2007 | Fundamental and Applied Limnology2007，，1： | 1 |
| 4 | Eutrophication of Lake Waters in China:Cost, Causes, and Control显示文摘 | Le Chengfeng Zha Yong Li Yunmei | 2010 | Environmental Management2010，45，4： | 1 |
| 5 | A four-band semi-analytical model for estimation chlorophyll a in highly turbid lakes : The case of Taihu Lake, China 显示文摘 | Chengfeng Le Yunmei Li Yong Zha | 2009 | Remote Sensing of Environment2009，113，2009： | 1 |
| 6 | Remote estimation of chlorophyll a in optically complex waters based on optical classification显示文摘 | Le Chengfeng Li Yunmei Zha Yong | 2011 | Remote Sensing of Environment2011，115，2： | 1 |
| 7 | A four-band semi-analytical model for estimating chlorophyll a in highly turbid lakes:The case of Taihu Lake,China显示文摘 | Chengfeng Le Yunmei Li Yong Zha Deyong Sun Changchun Huang Heng Lu | 2009 | Remote Sensing of Environment2009，13，6： | 1 |
| 8 | Climate-driven chlorophyll-a changes in a turbid estuary: Observations from satellites and implications for management显示文摘 | Chengfeng Le Chuanmin Hu David English Jennifer Cannizzaro Charles Kovach | 2013 | Remote Sensing of Environment2013，，： | 1 |
| 9 | Towards a long-term chlorophyll-a data record in a turbid estuary using MODIS observations显示文摘 | Chengfeng Le Chuanmin Hu David English Jennifer Cannizzaro Zhiqiang Chen Lian Feng Richard Boler Charles Kovach | 2012 | Progress in Oceanography2012，，： | 1 |
| 10 | Shipborne oceanic high-spectral-resolution lidar for accurate estimation of seawater depth-resolved optical properties显示文摘Lidar techniques present a distinctive ability to resolve vertical structure of optical properties within the upper water column at both day-and night-time.However,accuracy challenges remain for existing lidar instruments due to the ill-posed nature of elastic backscatter lidar retrievals and multiple scattering.Here we demonstrate the high performance of,to the best of our knowledge,the first shipborne oceanic high-spectral-resolution lidar(HSRL)and illustrate a multiple scattering correction algorithm to rigorously address the above challenges in estimating the depth-resolved diffuse attenuation coefficient Kd and the particulate backscattering coefficient bbp at 532 nm.HSRL data were collected during day-and night-time within the coastal areas of East China Sea and South China Sea,which are connected by the Taiwan Strait.Results include vertical profiles from open ocean waters to moderate turbid waters and first lidar continuous observation of diel vertical distribution of thin layers at a fixed station.The root-mean-square relative differences between the HSRL and coincident in situ measurements are 5.6%and 9.1%for Kd and bbp,respectively,corresponding to an improvement of 2.7-13.5 and 4.9-44.1 times,respectively,with respect to elastic backscatter lidar methods.Shipborne oceanic HSRLs with high performance are expected to be of paramount importance for the construction of 3D map of ocean ecosystem. | Yudi Zhou Yang Chen Hongkai Zhao Cedric Jamet Davide Dionisi Malik Chami Paolo Di Grolamo James H.Churnside Aleksey Malinka Huade Zhao Dajun Qiu Tingwei Cui Qun Liu Yatong Chen Sornsiri Phongphattarawat Nanchao Wang Sijie Chen Peng Chen Ziwei Yao Chengfeng Le Yuting Tao Peituo Xu Xiaobin Wang Binyu Wang Feitong Chen Chuang Ye Kai Zhang Chong Liu Dong Liu | 2022 | Light(Science & Applications)2022，11，10： | 0 |
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