首页> 外文会议>2010 IEEE International Geoscience and Remote Sensing Symposium >Retrival of total suspended matter (TSM) using remotely sensed images in Shitoukoumen Reservior, Northeast China
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Retrival of total suspended matter (TSM) using remotely sensed images in Shitoukoumen Reservior, Northeast China

机译:利用遥感图像检索东北石头沟门水库总悬浮物(TSM)

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The Shitoukoumen Reservoir is the major drinking water resources for the Changchun metropolitan region. The concentration of total suspended matter (TSM) is major water quality parameter that could be retrieved using remotely sensed data. 225 samples were analyzed during 12 times of field works from April 2006 to September 2008, in which the field work conducted on 17th July 2007 and 13th September 2008 were concurrent with IRS-P6 satellite over pass. Empirical regression models were established to analysis the relationship between TSM and satellite-received radiances. It was found that the regression model performed well on the TSM concentration estimation with higher accuracy (R2 = 0.94, 0.91) with IRS-P6 visible and near infrared bands as inputs. The high concentration of TSM made it the dominant upwelling signature captured by IRS-P6 satellite data, which may explain why the regression model relatively accurate. The RMSE for the TSM was less than 15%. Future work will need to be undertaken to refine model for Shitoukoumen Reservoir water quality monitoring with remotely sensed images or hyperspectral imaging data is to be launched in the near future.
机译:石头沟门水库是长春市区的主要饮用水资源。总悬浮物(TSM)的浓度是主要的水质参数,可以使用遥感数据进行检索。在2006年4月至2008年9月的12次现场工作中分析了225个样本,其中与2007年7月17日和2008年9月13日进行的现场工作同时进行。 IRS-P6卫星通过。建立了经验回归模型来分析TSM和卫星接收的辐射度之间的关系。结果表明,在IRS-P6可见光和近红外波段作为输入的情况下,回归模型在TSM浓度估算上表现良好,准确度较高(R 2 = 0.94,0.91)。 TSM的高浓度使其成为IRS-P6卫星数据捕获的主要上升流特征,这可以解释为什么回归模型相对准确。 TSM的RMSE不到15%。未来将需要开展工作,以完善具有遥感图像或高光谱成像数据的石头沟门水库水质监测模型。

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