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首页> 外文期刊>Water resources research >Assessing the potential of Medium-Resolution Imaging Spectrometer (MERIS) and Moderate-Resolution Imaging Spectroradiometer (MODIS) data for monitoring total suspended matter in small and intermediate sized lakes and reservoirs
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Assessing the potential of Medium-Resolution Imaging Spectrometer (MERIS) and Moderate-Resolution Imaging Spectroradiometer (MODIS) data for monitoring total suspended matter in small and intermediate sized lakes and reservoirs

机译：评估中分辨率成像光谱仪（MERIS）和中分辨率成像光谱仪（MODIS）数据用于监测中小型湖泊和水库中总悬浮物的潜力

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Satellite remote sensing has been used extensively for many years to monitor the open oceans and coastal waters. These methods have been extended more recently to the study of inland waters. In this study we consider the potential application of data from two ocean color sensors, Moderate-Resolution Imaging Spectroradiometer (MODIS) and Medium-Resolution Imaging Spectrometer (MERIS), for monitoring the levels of suspended solids in small and intermediate sized lakes and reservoirs. We measured total suspended matter (TSM) in four southwestern United States lakes, Roosevelt Lake, Saguaro Lake, Bartlett Lake, and Lake Pleasant, and compared these field data with images obtained from these medium resolution satellite sensors. Our regression analysis of the complete data set identified a linear relationship between the field TSM values and both MODIS 250 m data (r~2 = 0.461) and MERIS 290 m data (r~2 = 0.521). This relationship improved substantially when data from the smallest lake in the study (Saguaro Lake) were excluded from the analysis (r~2 = 0.819 and r~2 = 0.888, respectively). The resultant linear models produced estimates with a root-mean-square error (RMSE) ranging from 3.14 mg/L (MODIS) and 2.04 mg/L (MERIS) for all four lakes combined, improving to 1.32 mg/L (MODIS) and 0.47 mg/L (MERIS) for a lake-specific regression. These results suggest that these satellite sensors have the potential to effectively monitor TSM in lakes and reservoirs, although a minimum practical lake size does appear to exist.
机译：卫星遥感已广泛用于监视海洋和沿海水域多年。这些方法最近已扩展到内陆水域研究。在这项研究中，我们考虑了中度分辨率成像光谱仪（MODIS）和中分辨率成像光谱仪（MERIS）这两种海洋颜色传感器的数据在监测中小型湖泊和水库中悬浮物水平方面的潜在应用。我们测量了美国西南四个湖泊，罗斯福湖，萨瓜罗湖，巴特利特湖和普莱森特湖的总悬浮物（TSM），并将这些现场数据与从这些中分辨率卫星传感器获得的图像进行了比较。我们对完整数据集的回归分析确定了现场TSM值与MODIS 250 m数据（r〜2 = 0.461）和MERIS 290 m数据（r〜2 = 0.521）之间的线性关系。当将研究中最小湖泊（Saguaro湖）的数据从分析中排除时，这种关系得到了显着改善（分别为r〜2 = 0.819和r〜2 = 0.888）。所得线性模型得出的估计值对所有四个湖泊的均方根误差（RMSE）分别为3.14 mg / L（MODIS）和2.04 mg / L（MERIS），提高至1.32 mg / L（MODIS）和0.47 mg / L（MERIS）用于特定于湖泊的回归。这些结果表明，尽管似乎存在最小的实际湖泊面积，但这些卫星传感器具有有效监测湖泊和水库中TSM的潜力。

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    《Water resources research》 |2010年第9期|p.W09532.1-W09532.7|共7页
  • 作者

    P. E. Tarrant; J. A. Amacher; S. Neuer;

  • 作者单位

    Global Institute of Sustainability, Arizona State University, Tempe, AZ 85287-5402, USA;

    rnSchool of Life Sciences, Arizona State University, PO Box 874501, Tempe, AZ 85287-4501, USA;

    rnSchool of Life Sciences, Arizona State University, PO Box 874501, Tempe, AZ 85287-4501, USA;

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