尹航等：Long-term snow disasters during 1982-2012 in the Tibetan Plateau using satellite data

Long-term snow disasters during 1982-2012 in the Tibetan Plateau using satellite data

作者:Yin, H (Yin, Hang)[ 1,2 ] ; Cao, CX (Cao, Chunxiang)[ 1 ] ; Xu, M (Xu, Min)[ 1 ] ; Chen, W (Chen, Wei)[ 1 ] ; Ni, XL (Ni, Xiliang)[ 1 ] ; Chen, XJ (Chen, Xuejuan)[ 1 ]

GEOMATICS NATURAL HAZARDS & RISK

卷: 8  期: 2  页: 466-477

DOI: 10.1080/19475705.2016.1238851

出版年: 2017

摘要

Taking the Tibetan Plateau (TP) as a study area, we developed an algorithm to generate long-term four-level snow disaster products (19822012) using a new daily snow depth product with a spatial resolution of 0.05 degrees using AVHRR archival reflectance products (AVH09C1-version4) from Land Long-Term Data Record and passive microwave snow depth products. The total classification agreement of our products reached 83.6%, improved from 69.1%. R-square reached 0.62, which showed a good agreement with field data. Based on the products, we obtained annual snow disaster results during 1982-2012. The results indicated that in 1983, 1985, 1997, 1998 and 2008, a large part of the TP suffered extremely severe snow disaster. The annual variation of light and moderate snow disaster areas is much stable than severe and extremely severe areas. After 1999, annual extremely severe areas are more stable and smaller than before. Some areas suffered severe snow disaster in 1985, 1997 and 1998, while in other years they presented a normal status. A large part of the middle-east TP suffered extremely severe snow disaster almost every year. The information within population-filtered counties was extracted to support the development of the husbandry and the urban and rural planning for government.

通讯作者地址: Cao, CX (通讯作者)

Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China.

地址:

[ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China

[ 2 ] Univ Chinese Acad Sci, Beijing, Peoples R China