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《Meteorological Monthly》 2007-06
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Advances in Study of Snow-cover from Remote Sensing Data

Wu Yang1,2 Zhang Jiahua2 Xu Haiming1 He Jinhai1(1. Nanjing University of Information Science & Technology, 210044; 2. Chinese Academy of Meteorological Sciences)  
The main sources of remote sensing data and data processing methods of snow information retrieval are introduced. For the optical remote sensing, the AVHRR and MODIS data were widely used to distinguish the snow cover from other land cover types mostly according to the high reflectance of snow in the visible band and low in the near infrared band; and the snow cover area and depth also can be obtained by regression equations. With advanced sensors, the data from MODIS is obviously superior to that from AVHRR in algorithms and resolution to derive the snow information. For the microwave remote sensing: passive microwave remote sensing has all-weather and day-night data acquisition capability, the earth surface information can be obtained in whole day. So it is more useful to detect the snow depth than optical remote sensing. The snow cover was detected through retrieving the brightness temperature of snow. Active microwave remote sensing can estimate snow cover by different backscattering coefficient. Finally, the main problem and development trends of snow information retrieval technique by using satellite remote sensing data are discussed.
【Fund】: 科技部社会公益项目(2003DIB4J144);; 中国气象局沙漠气象基金“利用多元遥感信息对北疆积)监测方法的研究”;; 中国气象局成都高原气象基金资助。
【CateGory Index】: P426.635
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