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REMOTE SENSING FOR LAND & RESOURCES    2007, Vol. 19 Issue (2) : 86-89     DOI: 10.6046/gtzyyg.2007.02.22
Technology Application |
THE MONITORING OF FOREST RESOURCES IN WEST
TIANSHAN MOUNTAIN BASED ON CBERS-2 DATA
CHEN Dong-hua 1,2, LI Hu 2, MA Jiang-lin 3
1.Life and Environment Sciences Institute,Xinjiang Normal Univercity, Urumqi 830054, China; 2.Geography Science Institute, Fujian Normal University, Fuzhou 350007, China; 3.Forestry Centre of Nileke, Ili 835700, China
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Abstract  

This paper has discussed the application of the remote sensing techniques to the investigation of the forest resources in West Tianshan Mountain on the basis of CBERS-2 data. Based on the construction of the monitoring index system, the ground investigation and remote sensing analysis, and using the method of system analysis, the authors extracted the forest resource information. It is shown that the greatest proportions of the forest resources in the West Tianshan Mountain are forest lands and bush forests. It is concluded that the forest resource monitoring of the forest zone in the Tianshan Mountain by using CBERS-2 data can yield satisfactory results.

Keywords IHS transformation      Band ratios      Uranium deposit of sandstone type     
: 

TP75:S771.8

 
Issue Date: 24 July 2009
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CHEN Dong-Hua, LI Hu, MA Jiang-Lin. THE MONITORING OF FOREST RESOURCES IN WEST
TIANSHAN MOUNTAIN BASED ON CBERS-2 DATA[J]. REMOTE SENSING FOR LAND & RESOURCES,2007, 19(2): 86-89.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2007.02.22     OR     https://www.gtzyyg.com/EN/Y2007/V19/I2/86
[1] ZHOU Ai-Xia, GAO Lian-Feng. A STUDY OF THE METHOD TO RECTIFY THE FALSE TOPOGRAPHIC PHENOMENON[J]. REMOTE SENSING FOR LAND & RESOURCES, 2007, 19(2): 20-22.
[2] Dong Wenming, Huang Xianfang, Xie Zhidong, Huang Shutiao, Pan Wei . THE APPLICATION OF TM AND SAR AS WELL AS AIRBORNE RADIOACTIVE DATA TO PROSPECT FOR URANIUM DEPOSIT OF SANDSTONE TYPE[J]. REMOTE SENSING FOR LAND & RESOURCES, 1997, 9(4): 21-25.
[3] Jia Yonghong, Li Deren . COMPARISON OF IHS TRANSFORMATION FOR INTEGRATING SAR AND TM IMAGES[J]. REMOTE SENSING FOR LAND & RESOURCES, 1997, 9(3): 34-39.
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