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REMOTE SENSING FOR LAND & RESOURCES    2001, Vol. 13 Issue (4) : 20-27,68     DOI: 10.6046/gtzyyg.2001.04.04
Technology Application |
THE APPLICATION OF HIGH RESOLUTION SATELLITE REMOTELY SENSED DATA TO LANDUSE DYNAMIC MONITORING
YANG Qing-hua, QI Jian-wei, SUN Yong-jun
China Aero Geophysical Servey and Remote Sensing Center for Land and Resources, Beijing 100083, China
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Abstract  

In this study, the authors chose Daxing County of Beijing as the experimental field in view of its varied landuse styles. Based on analyzing the data-acquisition ways, covering periods, operation conditions, costs, techniques and equipment conditions of some high resolution satellites such as Indian IRS, Korean KOMPSAT-1 and American IKONOS, the authors conducted researches on the feasibility of performing dynamic monitoring of landuse with remotely-sensed data, determined some important technical parameters in high resolution data, analyzed the range of gray level and characteristics of histogram for principal landuse styles, and summarized the spectral characteristics of different types of landuse and land cover. In addition, the spectral characteristics of merged images were analysed, the largest scale of mapping was determined, the monitoring results of different data sources such as IRS and TM, KOMPSAT-1 and TM as well as SPOT and TM were compared, the recognition capacities of different combinations of high resolution data and multi-spectral data were differentiated, the interpretation signatures of land usage dynamic monitoring were established, and some crucial technical problems were solved. A set of operational and practical technical methods and producing procedures have been set up, which serve as great technical supports to national land resources investigation.

Keywords Zhujiang River Estuary      Mangrove wetlands      Shoreline change      Remote sensing dynamic monitoring     
Issue Date: 02 August 2011
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ZHAO Yu-Ling. THE APPLICATION OF HIGH RESOLUTION SATELLITE REMOTELY SENSED DATA TO LANDUSE DYNAMIC MONITORING[J]. REMOTE SENSING FOR LAND & RESOURCES, 2001, 13(4): 20-27,68.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2001.04.04     OR     https://www.gtzyyg.com/EN/Y2001/V13/I4/20


[1] 李志中,杨清华,孙永军.利用动态遥感技术监测太原市土地变更情况[J].国土资源遥感,1999,(3):72-76.




[2] 陈志军,李志中,杨清华.用遥感图像提取土地利用变化信息的特征变异增强方法[J].国土资源遥感,2000,(3):49-52.




[3] 陈述彭,等.遥感信息机理研究[M].北京:科学出版社,1998.




[4] 周成虎,等.遥感影像地学理解与分析[M].北京:科学出版社,1999.




[5] 李树楷,等.高效维三维遥感集成技术系统[M].北京:科学出版社,2000.

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