Search Results - "Sun, Deyong"

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  1. 1

    Fifteen-year monitoring of the turbidity dynamics in large lakes and reservoirs in the middle and lower basin of the Yangtze River, China by Hou, Xuejiao, Feng, Lian, Duan, Hongtao, Chen, Xiaoling, Sun, Deyong, Shi, Kun

    Published in Remote sensing of environment (01-03-2017)
    “…The Middle and Lower Yangtze River (MLY) basin holds the most freshwater in East Asia; however, the conditions of basin-scale water turbidity remain unknown…”
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    Journal Article
  2. 2

    A Unified Model for Remotely Estimating Chlorophyll a in Lake Taihu, China, Based on SVM and In Situ Hyperspectral Data by Deyong Sun, Deyong Sun, Yunmei Li, Yunmei Li, Qiao Wang, Qiao Wang

    “…Accurate estimation of chlorophyll a (Chla) in inland turbid lake waters by means of remote sensing is a challenging task due to their optical complexity. In…”
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  3. 3

    Automatic method to monitor floating macroalgae blooms based on multilayer perceptron: case study of Yellow Sea using GOCI images by Qiu, Zhongfeng, Li, Zhaoxin, Bilal, Muhammad, Wang, Shengqiang, Sun, Deyong, Chen, Yanlong

    Published in Optics express (15-10-2018)
    “…Timely and accurate information about floating macroalgae blooms (MAB), including their distribution, movement, and duration, is crucial in order for local…”
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  4. 4

    Variations of transparency derived from GOCI in the Bohai Sea and the Yellow Sea by Mao, Ying, Wang, Shengqiang, Qiu, Zhongfeng, Sun, Deyong, Bilal, Muhammad

    Published in Optics express (30-04-2018)
    “…Secchi disk depth (Z ), represents water transparency which is an intuitive indicator of water quality and can be used to derive inherent optical properties,…”
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  5. 5

    Retrieval of Snow Depths on Arctic Sea Ice in the Cold Season from FY-3D/MWRI Data by Yin, Qianhui, He, Yijun, Sun, Deyong

    Published in Remote sensing (Basel, Switzerland) (01-03-2024)
    “…Snow depth is a crucial factor in the formation of snow, and its fluctuations play a significant role in the Earth’s climate system. The existing snow depth…”
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  6. 6

    Remote sensing of spatial and temporal patterns of phytoplankton assemblages in the Bohai Sea, Yellow Sea, and east China sea by Sun, Deyong, Huan, Yu, Wang, Shengqiang, Qiu, Zhongfeng, Ling, Zunbin, Mao, Zhihua, He, Yijun

    Published in Water research (Oxford) (15-06-2019)
    “…Marine phytoplankton accounts for roughly half the planetary primary production, and plays significant roles in marine ecosystem functioning, physical and…”
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  7. 7

    Using Landsat 8 OLI data to differentiate Sargassum and Ulva prolifera blooms in the South Yellow Sea by Sun, Deyong, Chen, Ying, Wang, Shengqiang, Zhang, Hailong, Qiu, Zhongfeng, Mao, Zhihua, He, Yijun

    “…•A satellite algorithm was proposed to identify concurrent Sargassum and Ulva prolifera.•This algorithm uses the spectral difference between Sargassum and Ulva…”
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  8. 8

    Monitoring Water Transparency in Shallow and Eutrophic Lake Waters Based on GOCI Observations by Bai, Shuying, Gao, Jixi, Sun, Deyong, Tian, Meirong

    Published in Remote sensing (Basel, Switzerland) (01-01-2020)
    “…Water transparency represented by the Secchi disk depth (Zsd) plays an important role in understanding water ecology environment variations, especially for…”
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  9. 9

    IGABEM of 2D and 3D liquid inclusions by Dai, Rui, Dong, Chunying, Xu, Chuang, Sun, Deyong

    “…•The isogeometric boundary element method is applied to study the two-dimensional and three-dimensional liquid inclusion problems.•The singularity subtraction…”
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  10. 10

    Remote estimation of chlorophyll a in optically complex waters based on optical classification by Le, Chengfeng, Li, Yunmei, Zha, Yong, Sun, Deyong, Huang, Changchun, Zhang, Hong

    Published in Remote sensing of environment (15-02-2011)
    “…Accurate assessment of phytoplankton chlorophyll a (Chla) concentration in turbid waters by means of remote sensing is challenging due to optically complexity…”
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  11. 11

    Seasonal and Interannual Variability of Satellite-Derived Chlorophyll-a (2000–2012) in the Bohai Sea, China by Zhang, Hailong, Qiu, Zhongfeng, Sun, Deyong, Wang, Shengqiang, He, Yijun

    Published in Remote sensing (Basel, Switzerland) (01-06-2017)
    “…Knowledge of the chlorophyll-a dynamics and their long-term changes is important for assessing marine ecosystems, especially for coastal waters. In this study,…”
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  12. 12

    Estimating Vertical Distribution of Total Suspended Matter in Coastal Waters Using Remote-Sensing Approaches by Zhang, Hailong, Ren, Xin, Wang, Shengqiang, Li, Xiaofan, Sun, Deyong, Wang, Lulu

    Published in Remote sensing (Basel, Switzerland) (01-10-2024)
    “…The vertical distribution of the marine total suspended matter (TSM) concentration significantly influences marine material transport, sedimentation processes,…”
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  13. 13

    Detection of algal bloom and factors influencing its formation in Taihu Lake from 2000 to 2011 by MODIS by Huang, Changchun, Li, Yunmei, Yang, Hao, Sun, Deyong, Yu, Zhaoyuan, Zhang, Zhuo, Chen, Xia, Xu, Liangjiang

    Published in Environmental earth sciences (01-04-2014)
    “…Time-series MODIS data were used to extract and characterize algal blooms from the Taihu Lake study area. Water quality data including total nitrogen, total…”
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  14. 14
  15. 15

    A four-band semi-analytical model for estimating chlorophyll a in highly turbid lakes: The case of Taihu Lake, China by Le, Chengfeng, Li, Yunmei, Zha, Yong, Sun, Deyong, Huang, Changchun, Lu, Heng

    Published in Remote sensing of environment (15-06-2009)
    “…Accurate estimation of phytoplankton chlorophyll a (Chla) concentration from remotely sensed data is particularly challenging in turbid, productive waters. The…”
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  16. 16

    Influence of a red band-based water classification approach on chlorophyll algorithms for optically complex estuaries by Sun, Deyong, Hu, Chuanmin, Qiu, Zhongfeng, Cannizzaro, Jennifer P., Barnes, Brian B.

    Published in Remote sensing of environment (01-12-2014)
    “…Empirical chlorophyll algorithms depend on the inter-relationships of the various in-water optical constituents which may change in both space and time in…”
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  17. 17

    Remote sensing estimation of phytoplankton absorption associated with size classes in coastal waters by Huan, Yu, Sun, Deyong, Wang, Shengqiang, Zhang, Hailong, Qiu, Zhongfeng, Bilal, Muhammad, He, Yijun

    Published in Ecological indicators (01-02-2021)
    “…[Display omitted] •A method is developed to refine an*(λ) and ap*(λ) in the coastal waters of China.•New coefficients exhibit stable performance in long term…”
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  18. 18

    Remote sensing estimation of colored dissolved organic matter (CDOM) from GOCI measurements in the Bohai Sea and Yellow Sea by Ling, Zunbin, Sun, Deyong, Wang, Shengqiang, Qiu, Zhongfeng, Huan, Yu, Mao, Zhihua, He, Yijun

    “…Colored dissolved organic matter (CDOM) is the main constituent of dissolved organic matter (DOM), also a key indicator of water quality conditions. Accurate…”
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  19. 19

    Remote Sensing Estimation of Sea Surface Salinity from GOCI Measurements in the Southern Yellow Sea by Sun, Deyong, Su, Xiaoping, Qiu, Zhongfeng, Wang, Shengqiang, Mao, Zhihua, He, Yijun

    Published in Remote sensing (Basel, Switzerland) (01-04-2019)
    “…Knowledge about the spatiotemporal distribution of sea surface salinity (SSS) provides valuable and important information for understanding various marine…”
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  20. 20

    Remote sensing method for detecting green tide using HJ-CCD top-of-atmosphere reflectance by Zhang, Hailong, Yuan, Yibo, Xu, Yongjiu, Shen, Xiaojing, Sun, Deyong, Qiu, Zhongfeng, Wang, Shengqiang, He, Yijun

    “…•A simple TCG index was designed to detect green tide directly using satellite Rtoa.•New GMB-specific TCT-like matrix was obtained for four-band satellite…”
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