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REMOTE SENSING FOR LAND & RESOURCES    2011, Vol. 23 Issue (3) : 20-24     DOI: 10.6046/gtzyyg.2011.03.04
Review |
An Analysis of the Problems Concerning Remote Sensing Dynamic Monitoring of Land Use
GAO Zhen-yu1, WU Xue-yu1,2, FAN Qing-dong1, CAO Zi-jian1, MEN Chun-chun1
1. Tianjin Cadastral Management Center, Tianjin 300042, China;
2. Tianjin Land Registration Center, Tianjin 300042, China
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Abstract  

Based on a comparison of the monitoring results of land use dynamic monitoring in 2008 and in different periods of time in Tianjin, the authors have analyzed the differences between the results of annual monitoring and quarterly monitoring from the angles of time factor and human factor. The approaches to the problems as to how to effectively improve the two kinds of monitoring are discussed. Considering the limitation of the data source and the information extraction methods, this paper focuses on the analysis of the improvement and optimization of the results of quarterly monitoring of land use by using the remote sensing information extraction methods. The indirect and circular methods are used in this paper which can facilitate remote quarterly monitoring in a more efficient and targeted manner.

Keywords GIS      WebGIS      ArcIMS     
: 

TP 79

 
  F 301.2  
  P 272

 
Issue Date: 07 September 2011
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GAO Zhen-yu, WU Xue-yu, FAN Qing-dong, CAO Zi-jian, MEN Chun-chun. An Analysis of the Problems Concerning Remote Sensing Dynamic Monitoring of Land Use[J]. REMOTE SENSING FOR LAND & RESOURCES,2011, 23(3): 20-24.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2011.03.04     OR     https://www.gtzyyg.com/EN/Y2011/V23/I3/20


[1] 中华人民共和国国土资源部.TD/T 1010-1999.土地利用动态遥感监测规程
[S].中华人民共和国土地管理行业标准.

[2] 天津市规划和国土资源局.利用卫星遥感监测城市土地资源
[EB/OL].http://www.mlr.gov.cn/xxh/jyjl/201003/t20100306_139721.htm.

[3] 国土资源部地籍管理司.全国土地利用变更调查报告2007
[M].北京:中国大地出版社,2007.

[4] 徐美,黄诗峰,黄绚.遥感用于土地利用变化动态监测中的若干问题探讨
[J].遥感技术与应用,2000,15(4):252-255.

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