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

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

作     者:JIN Yaqiu and YAN Fenghua(Center for Wave Scattering and Remote Sensing, School of Information Science & Engineering, Fudan University, Shanghai 200433, China) 

作者机构:Center for Wave Scattering and Remote Sensing School of Information Science & Engineering Fudan University Shanghai 200433 China 

出 版 物:《Progress in Natural Science:Materials International》 (自然科学进展·国际材料(英文))

年 卷 期:2003年第5期

页      面:56-60页

学科分类:07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

基  金:the National Key Basic Research Project (Grant No.2001CB309401) and the National Natural Science Foundation of China (Grant No.60171009) 

主  题:microwave SSM/1 SDI and DI indexes sandstorm desertification Getis statistics. 

摘      要:A massive sandstorm enveloped most part of northern China during the spring season 2002. Monitoring the evolution of sandstorm and desertification has become one of the 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, 85 GHz with the vertical and horizontal polarization and 22 GHz with vertical polarization only). In this 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/1 data in 1997 and 2001 are employed. The algorithm of Getis statistics is developed to categorize the spatial correlation and its evolution these days. It is demonstrated that the SSM/ I indexes, SDI and DI, and its Getis statistics are well applicable for monitoring the

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