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Remote Sensing Technology and Application  2004, Vol. 19 Issue (5): 301-306    DOI: 10.11873/j.issn.1004-0323.2004.5.301
    
Retrieval of Snow Depth in China by Passive Microwave Remote Sensing Data and Its Accuracy Assessment
CHE Tao,LI Xin
(Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Sceiences,Lanzhou Gansu730000,China)
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Abstract  

Considering the overestimation of snow depth in West China using the global algorithm, thegeographic region is divided into two parts by 105°E. The modified and global algorithms are used toretrieve the snow depth in West and East part, respectively. However, the retrieval of snow cover anddepth will be overestimated due to the influence of precipitation, cold desert, and frozen ground.Therefore, for setting up the operational scheme, a land surface type classification tree based on the SSM/I data has been used to remove these factors. In final, the MODIS snow products in 2000/2001 wintershave been collected for the assessment of accuracy from passive microwave remote sensing data. In theninety days, the means of overall accuracy and Kappa coefficient are 86% and 66%, respectively.

Key words:  Snow depth      Passive microwave      Remote sensing      SSM/I      Assessment of accuracy     
Received:  26 March 2004      Published:  26 December 2011
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CHE Tao,LI Xin. Retrieval of Snow Depth in China by Passive Microwave Remote Sensing Data and Its Accuracy Assessment. Remote Sensing Technology and Application, 2004, 19(5): 301-306.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2004.5.301     OR     http://www.rsta.ac.cn/EN/Y2004/V19/I5/301

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