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Remote sensing monitoring of the suspended particle size in Hongze Lake based on GF-1 data

机译:基于GF-1数据的洪泽湖悬浮粒度遥感监测

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摘要

In remote sensing analyses of water colour, suspended particle size is an important optical parameter that also plays an important role in inland and coastal biogeochemical processes. Knowledge of the suspended particle size and its changes in month and area can be used to assess the contributions by suspended particulate matter to backscatter coefficient, particle sinking, and carbon sequestration under lake water. In this study, in situ samples collected in the summer and winter from Hongze Lake (HZL), 2016, were used to develop an empirical model to estimate the median diameter (D-V(50)) of suspended particle sizes. The spatial distributions of D-V(50) were derived using 37 WFV (Wide Field Viewer) images of GF-1 (GaoFen-1), China, and the fluctuational diversification and the potential influencing factors were discussed. Several crucial findings can be drawn: (1) the empirical band ratio algorithm R-rs,R-green: R-rs,R-red was suitable for D-V(50) estimation with a coefficient of determination (R-2) of approximately 0.7 for the modelling data. In addition, the validation data showed that the MAPE (mean absolute percentage error) is below 34%, the RMSE (root mean square error) is less than 4.2 mu m, and the Mean ratio is close to 1; (2) the average median particle size shows an increasing trend from the northeast of the lake (NE) to Chengzi Lake (CZL) and the wetland (WL) in HZL from 2015 to 2016; (3) the D-V(50) of HZL is higher in summer than in the other seasons during the study period; (4) the fluctuation in hydrological factors, especially the monthly water discharge and flow, might be the driving force behind the seasonal variations in D-V(50) of HZL; and (5) channel transportation reduced D-V(50), and the reduced amplitude might be more than 22%.
机译:在遥感分析的水彩分析中,悬浮粒径是一个重要的光学参数,也在内陆和沿海生物地球化学过程中起重要作用。知识悬浮粒度及其在月和地区的变化可用于评估悬浮颗粒物质以反向散射系数,粒子沉降和湖水中的碳封存的贡献。在这项研究中,在夏季和冬季收集的原位样本从2016年洪泽湖(HZL),用于开发经验模型以估计悬浮粒径的中值(D-V(50))。 D-V(50)的空间分布使用GF-1(GaofeN-1),中国的37 WFV(宽场观察者)图像和波动多样化,并讨论了潜在的影响因素。可以绘制若干关键发现:(1)经验频带比算法R-RS,R-Green:R-R-R - R-R红色适用于DV(50)估计,其近似的测定系数(R-2)估计0.7用于建模数据。此外,验证数据显示MAPE(平均绝对百分比误差)低于34%,RMSE(均方误差)小于4.2μm,平均比率接近1; (2)平均中值粒度从2015年至2016年的HzL中湖北(NE)到湖北(NE)东北(NE)和湿地(WL)的趋势越来越多; (3)HZL的D-V(50)在夏季比在研究期间的其他季节更高; (4)水文因素的波动,尤其是每月排水和流量,可能是HZL的D-V(50)的季节变化背后的驱动力; (5)通道运输减少D-V(50),降低幅度可能超过22%。

著录项

  • 来源
    《International journal of remote sensing》 |2019年第8期|3179-3203|共25页
  • 作者单位

    Nanjing Normal Univ Jiangsu Ctr Collaborat Innovat Geog Informat Reso Key Lab Virtual Geog Environm Minist Educ Coll Geog Sci Nanjing 210097 Jiangsu Peoples R China;

    Minist Environm Protect Peoples Republ China Satellite Environm Ctr Beijing 100029 Peoples R China;

    Nanjing Normal Univ Jiangsu Ctr Collaborat Innovat Geog Informat Reso Key Lab Virtual Geog Environm Minist Educ Coll Geog Sci Nanjing 210097 Jiangsu Peoples R China;

    Minist Environm Protect Peoples Republ China Satellite Environm Ctr Beijing 100029 Peoples R China;

    Nanjing Normal Univ Jiangsu Ctr Collaborat Innovat Geog Informat Reso Key Lab Virtual Geog Environm Minist Educ Coll Geog Sci Nanjing 210097 Jiangsu Peoples R China;

    Chinese Acad Sci Northeast Inst Geog & Agr Ecol Changchun Jilin Peoples R China;

    Gannan Normal Univ Sch Geog & Environm Engn Ganzhou Peoples R China;

    Nanjing Normal Univ Jiangsu Ctr Collaborat Innovat Geog Informat Reso Key Lab Virtual Geog Environm Minist Educ Coll Geog Sci Nanjing 210097 Jiangsu Peoples R China;

    Nanjing Normal Univ Jiangsu Ctr Collaborat Innovat Geog Informat Reso Key Lab Virtual Geog Environm Minist Educ Coll Geog Sci Nanjing 210097 Jiangsu Peoples R China;

    Nanjing Normal Univ Jiangsu Ctr Collaborat Innovat Geog Informat Reso Key Lab Virtual Geog Environm Minist Educ Coll Geog Sci Nanjing 210097 Jiangsu Peoples R China;

    Nanjing Normal Univ Jiangsu Ctr Collaborat Innovat Geog Informat Reso Key Lab Virtual Geog Environm Minist Educ Coll Geog Sci Nanjing 210097 Jiangsu Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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