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Monitoring the sandstorm during spring season 2002 and desertification in northern China using the SSM/I data and Getis statistics

机译:在春季2002年春季监测沙尘暴和中国北方的荒漠化,使用SSM / I数据和Getis统计数据

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A massive sandstorm has enveloped most northern China during the spring season 2002. Monitoring the evolution of sandstorm and desertification has become one of most serious problems for China's environment. Since 1989, one of the most advanced and operational passive microwave sensors is the DMSP SSM/I (special sensor microwave imager) operated at seven channels (19, 37, 85GHz with vertical and horizontal polarization and 22GHz with vertical polarization only). In the paper, the sandstorm and desertification indexes, SDI and DI, are derived from the radiative transfer equation, and are employed with multi-channel measurements of the DMSP SSM/I for monitoring the sandstorm and desertification in Northern China. Some SSM/I data in 1997 and 2001 are employed. The algorithm of the Getis statistics is developed to categorize the spatial correlation and its evolution during these days. It is demonstrated that the SSM/I indexes, SDI and DI, and its Getis statistics are well applicable for monitoring the sandstorm and desertification.
机译:2002年春季,巨大的沙斯斯特笼在中国最北方中国。监测沙尘暴和荒漠化的演变已成为中国环境最严重的问题之一。自1989年以来,最先进和操作的无源微波传感器之一是在七个通道(19,37,85GHz的DMSP SSM / I(特殊传感器微波图像),仅具有垂直和水平极化的22GHz,仅具有垂直极化)。在纸质中,尘土风暴和荒漠化指数,SDI和DI,源自辐射传输方程,并用于DMSP SSM / I的多通道测量,用于监测中国北方的沙尘暴和荒漠化。 1997年和2001年的一些SSM / I数据受雇。开发了Getis统计信息的算法以在这些天期间对空间相关性及其演变进行分类。据证明SSM / I索引,SDI和DI,及其Getis统计信息适用于监测沙尘暴和荒漠化。

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