Remote sensing parameter model of suspended sediment and its application in the Yangtze River estuary

被引:0
|
作者
Wang, Yanjiao [1 ,2 ]
Yan, Feng [3 ]
Zhanga, Peiqun [1 ]
Dong, Wenjie [1 ]
Zhang, Ying [4 ]
机构
[1] China Meteorol Adm, Natl Climate Ctr, Lab Climate Studies, Beijing 100081, Peoples R China
[2] Chinese Acad Sci, Inst Atmospher Phys, Beijing 100029, Peoples R China
[3] Nanjing Univ, Int Inst Earth Syst Sci, Nanjing, Jiangsu 210093, Peoples R China
[4] Nanjing Normal Univ, Coll Geog Sci, Nanjing, Jiangsu 210097, Peoples R China
关键词
yangtze River estuary; remote sensing; Thematic Mapper; suspended sediment concentration; reflectance; model; sediment parameter; optimal wavelengths; spectrum;
D O I
10.1117/12.760693
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
To study the relationship between suspended sediment concentrations (SSC) prepared in laboratory and synchronously measured spectral reflectance, the optimal wavelengths to estimate SSC in water were selected. The single factor, band ratio and sediment parameter quantitative retrieval models of SSC were constructed using these optimal wavelength means, and the suspended sediment parameter model was used to retrieve the SSC in the Yangtze River estuary. Results show that the models built by single factor B4 (780-835nm) and band radio 134 (780-835nm)iBI(430-500nm) respectively can estimate the SSC accurately. The retrieval model of SSC constructed by suspended sediment parameter can get a relatively higher accuracy level than the single factor and band ratio models. The suspended sediment parameter model applied to the Yangtze River estuary exhibits a strong capability to map the SSC distribution. In this paper, experimental measuring of SSC in water and reflectance can not only keep the data obtained synchronously but also weaken the influence of atmosphere on reflectance. The inversion models of SSC developed by these data are of good representations.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Integrated model for quantitative remote sensing measurement of suspended sediment and its application in the pearl river estuary
    Liu, Xiao-Ping
    Deng, Ru-Ru
    Peng, Xiao-Juan
    [J]. Zhongshan Daxue Xuebao/Acta Scientiarum Natralium Universitatis Sunyatseni, 2005, 44 (03): : 109 - 113
  • [2] The variations of suspended sediment concentration in Yangtze River Estuary
    杨云平
    张明进
    李义天
    张为
    [J]. Journal of Hydrodynamics, 2015, 27 (06) : 845 - 856
  • [3] The variations of suspended sediment concentration in Yangtze River Estuary
    Yang Yun-ping
    Zhang Ming-jin
    Li Yi-tian
    Zhang Wei
    [J]. JOURNAL OF HYDRODYNAMICS, 2015, 27 (06) : 845 - 856
  • [4] The variations of suspended sediment concentration in Yangtze River Estuary
    Yun-ping Yang
    Ming-jin Zhang
    Yi-tian Li
    Wei Zhang
    [J]. Journal of Hydrodynamics, 2015, 27 : 845 - 856
  • [5] Remote Sensing of Surface Suspended Sediment Concentration in Yangtze Estuary from SeaWiFS Data
    Liao Yingdi
    Zhang Wei
    Chen Da
    [J]. CHINESE-GERMAN JOINT SYMPOSIUM ON HYDRAULIC AND OCEAN ENGINEERING (CG JOINT 2010), 2010, : 395 - 399
  • [6] Remote Sensing Retrieval of Surface Suspended Sediment Concentration in the Yellow River Estuary
    ZHAN Chao
    YU Junbao
    WANG Qing
    LI Yunzhao
    ZHOU Di
    XING Qinghui
    CHU Xiaojing
    [J]. Chinese Geographical Science, 2017, 27 (06) : 934 - 947
  • [7] Remote sensing retrieval of surface suspended sediment concentration in the Yellow River Estuary
    Chao Zhan
    Junbao Yu
    Qing Wang
    Yunzhao Li
    Di Zhou
    Qinghui Xing
    Xiaojing Chu
    [J]. Chinese Geographical Science, 2017, 27 : 934 - 947
  • [8] Remote Sensing Retrieval of Surface Suspended Sediment Concentration in the Yellow River Estuary
    ZHAN Chao
    YU Junbao
    WANG Qing
    LI Yunzhao
    ZHOU Di
    XING Qinghui
    CHU Xiaojing
    [J]. Chinese Geographical Science, 2017, (06) - 947
  • [9] Remote sensing retrieval of surface suspended sediment concentration in the Yellow River Estuary
    Zhan Chao
    Yu Junbao
    Wang Qing
    Li Yunzhao
    Zhou Di
    Xing Qinghui
    Chu Xiaojing
    [J]. CHINESE GEOGRAPHICAL SCIENCE, 2017, 27 (06) : 934 - 947
  • [10] Assessment of physicochemical properties of suspended sediment in Yangtze river estuary
    Wang, Hua
    Shen, Zilin
    Yan, Yuting
    Liang, Dongfang
    [J]. PHYSICAL GEOGRAPHY, 2024, 45 (01) : 39 - 52