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REMOTE SENSING FOR LAND & RESOURCES    2013, Vol. 25 Issue (1) : 93-98     DOI: 10.6046/gtzyyg.2013.01.17
Technology Application |
Remote sensing study of glacier dynamic change in West Kunlun Mountains in the past 20 years
JI Peng1,2, GUO Huadong1, ZHANG Lu1
1. Key Laboratory of Digital Earth, Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;
2. Shanghai Institute of Satellite Engineering, Shanghai 200240, China
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Abstract  

Based on the Landsat TM/ETM+ remote sensing images from 1991 to 2009, the authors obtained the dynamic change of the West Kunlun glaciers as well as the Gozha Co and the Aksayqin Lake, with the climatic data, analyzed the change relationship between the glaciers, the lakes and the local climate in different regions. The conclusions of this paper are as follows: 1 In the period of 1991 to 2009, the West Kunlun glaciers were changing obviously, but the east part and the west part show different characteristics. That is, the glaciers of the east part firstly decreased, then increased, and decreased again. The change was fluctuated. However, the situation of the west part was different: the glaciers were decreasing continuously. Meanwhile the Gozha Co was firstly enlarged, then narrowed, and enlarged again while the Aksayqin Lake was narrowed continuously. 2 In the West Kunlun glaciers, there existed important interaction relationship between the Gozha Co and the Aksayqin Lake, showing an inverse ratio in quantity. 3 From 2000 to 2005, the main factor responsible for the difference in area between the West Kunlun glaciers and the lakes was the temperature. With the growing temperature, the area of the glaciers decreased while that of the lakes increased. The variation showed linear relationship.

Keywords community remote sensing(CRS)      geoscience applications      disaster response      new approach     
:  TP79  
Issue Date: 21 February 2013
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LI Wanlun. Remote sensing study of glacier dynamic change in West Kunlun Mountains in the past 20 years[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(1): 93-98.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2013.01.17     OR     https://www.gtzyyg.com/EN/Y2013/V25/I1/93

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[1] LI Wanlun. Community remote sensing: A new approach to geoscience applications[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(1): 1-6.
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