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REMOTE SENSING FOR LAND & RESOURCES    1995, Vol. 7 Issue (3) : 20-24     DOI: 10.6046/gtzyyg.1995.03.04
Applied Research |
A STUDY BY REMOTE SENSING FOR DYNAMIC EVALUATION OF COMPREHENSIVE MANAGEMENT RESULT OF SOIL AND WATER LOSS IN WATERSHED OF NIHEGOU CHUNHUA CHINA
Quan Zhijie, Wang Chengji, Li Yuanke, Mao Xiaoli
Northwest Forestry College YangLing Shanxi 712100
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Abstract  

Abstract Using aerial remoto sensing photo of different time in different years based on two period of "The map of soil and water loss comprehensive control achievement appraisement",draw a new map──"The dynamic map of soil and water loss comprehensive control achievement appraisement", by trial and research, The dynamic map can audiovisual,clear-cut, fixed site and fixed quantity to show dynamic change of space distribution of comprehensive control achievement appraisement of two periods of investigation region. It’s a effective channel to region dynamic monitor and study.

Keywords Cyanobacteria      Phycocyanin      Phycoerythin      Satellite remote sensing     
Issue Date: 02 August 2011
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YANG Ding-Tian
PAN De-Lu
FENG Shao-Wu
LIU Wen-Zeng
YANG Xiao-Dong
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YANG Ding-Tian,PAN De-Lu,FENG Shao-Wu, et al. A STUDY BY REMOTE SENSING FOR DYNAMIC EVALUATION OF COMPREHENSIVE MANAGEMENT RESULT OF SOIL AND WATER LOSS IN WATERSHED OF NIHEGOU CHUNHUA CHINA[J]. REMOTE SENSING FOR LAND & RESOURCES, 1995, 7(3): 20-24.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.1995.03.04     OR     https://www.gtzyyg.com/EN/Y1995/V7/I3/20


[1] 全志杰.水土流失综合治理成果的遥感评价.国土资源遥感,1993;(3); 29-35

[2] 李锐等.《综合治理评价图》约编制和应用.见:土地资源及生产力研究.北京:科学技术文献出版社,1990,201-210

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