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REMOTE SENSING FOR LAND & RESOURCES    2007, Vol. 19 Issue (3) : 31-35     DOI: 10.6046/gtzyyg.2007.03.07
Technology and Methodology |
SNOW MONITORING BASED ON CBERS DATA
WEI Feng-hua 1 ,LI Cai-xing 2 ,ZA XI-yang zong 3
1.China Remote Sensing Satellite Ground Station, Chinese Academy of Sciences, Beijing 100086, China; 2.Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100080, China; 3.Tibet Remote Sensing Applications Center, Lhasa 850001, China
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Abstract  

 Based on a detailed study of the spectrum characteristics of snow, cloud and their shadows, in

combination with the situation of snow monitoring researches in China and abroad as well as characteristics of

CBERS, this paper deals with the application of CBERS data to snow monitoring. A method in this aspect is

presented in this paper based on abundant data analyses. The data processing technique and the possible error

sources are also discussed in detail in this paper. Verification of the method was carried out by using the data

obtained from Nagqu in Tibet. The results show that this snow monitoring method is feasible and of high precision.

It can therefore provide a theoretical support for the operation of snow monitoring.

Keywords Vegetable classification      Quadtree     
: 

TP 79: P 468.0+25

 
Issue Date: 21 July 2009
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Diao Shujuan
Yuan Chonghuan
Sun Xinghe
Cite this article:   
Diao Shujuan,Yuan Chonghuan,Sun Xinghe. SNOW MONITORING BASED ON CBERS DATA[J]. REMOTE SENSING FOR LAND & RESOURCES, 2007, 19(3): 31-35.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2007.03.07     OR     https://www.gtzyyg.com/EN/Y2007/V19/I3/31
[1] Diao Shujuan, Yuan Chonghuan, Sun Xinghe. THE METHOD OF VEGETABLE CLASSIFICATION OF THEMATIC MAPPER IN MOUNTAIN AREA OF SOUTH-WEST CHINA[J]. REMOTE SENSING FOR LAND & RESOURCES, 1995, 7(3): 34-39.
[2] Tan Guoxin. THE COMPACT BINTREE REPRESENTATION: AN EFFECTIVE TECHNIQUE FOR IMAGE EXPRESSION[J]. REMOTE SENSING FOR LAND & RESOURCES, 1995, 7(3): 47-54.
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