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MODIS-based remote sensing of suspended sediment concentrations of the Middle and Lower Yangtze River, China

机译:基于MODIS的长江中下游悬浮泥沙浓度遥感。

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摘要

Suspended sediment concentration (SSC) is a critical parameter in the study of river sediment transport and water quality variations. The potential for estimating SSC in large rivers using satellite images has been examined in previous studies. Using the Middle and Lower Yangtze River as an example, this paper applies a simple segmented linear regression to eliminate the errors of SSC estimation caused by the nonlinear relation between spectral reflectance and the SSC of turbid rivers. In comparison to previous studies, this one improves the accuracy of estimated SSC values based on the high temporal resolution Terra Moderate Resolution Imaging Spectroradiometer (MODIS) images. The improvement was particularly significant for water samples with high SSC values. This is crucial for studying the spatial and temporal variations of SSC in large rivers that can result from climate change and human activities such as dam construction and illegal sand extractions.
机译:悬浮泥沙浓度(SSC)是研究河流泥沙迁移和水质变化的关键参数。在先前的研究中已经检验了使用卫星图像估算大河流中SSC的潜力。本文以长江中下游地区为例,采用简单的分段线性回归方法,消除了光谱反射率与浑浊河流域SSC之间非线性关系引起的SSC估算误差。与以前的研究相比,此研究基于高时间分辨率Terra中分辨率成像光谱仪(MODIS)图像提高了SSC估计值的准确性。对于具有较高SSC值的水样品,此改进尤其显着。这对于研究由气候变化和人类活动(例如大坝建设和非法采砂)可能导致的大河流中南南合作的时空变化至关重要。

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