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Remote Sensing Technology and Application  2001, Vol. 16 Issue (2): 77-80    DOI: 10.11873/j.issn.1004-0323.2001.2.77
    
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Abstract  Land Use Dynamic Monitoring for SuXiChangRegion by Remote SensingSUN Dan-feng(Land Resources dept.,China Agricultural University,Beijing100094China)ZHOU Guang-yuan,YANG Ji-hong(The Academy of Land Survey&planning of China,Beijing100081China)Abstract:According to the Land and resources Ministry project of 1999 land use dynamic monitoring byremote sensing, the SuXiChang region has been finished the land use change between 1998 and 1999 byusing the TM and SPOT PAN images .Adopting the multi-sensor data overlay and fusion method toenhance the change information, which mainly includes the image spatial correction, the IHStransformation and overlay method to fusion the TM and SPOT image, which enhances the changeinformation combining the spectral and textural characters, then creating the 1998 land use map and thechange image via the automatic classification method ,in which the no change pixel value is zero and changepixel value is one, and then using the visual interpretation aided by computer to determine the 1999 landuse type of change region. Combining the change region and 1998,1999 land use type to create the land usedynamic map, calculating the transfer velocity of arable land importantly and reached the conclusion-city,industry and roads were the main parts occupying the arable land ,the average velocity of arable landtransfer to industry in this region was 2.72‰,and the arable land loss was serious ,the rate of urbanexpansion was still high in this region. So establishing the SuXiChang region land use dynamic monitoringand warning system can acquire the land resource quantity and using information, necessary for landresource management. The method to enhance the change information and using the multi-sensor datafusion and automatic classification and visual interpretation only for change region improved the dynamicmonitoring speed and guaranteed the accuracy of the results.Key words:SuXiChang region, Multi-sensor fusion, Land use change
Published:  26 December 2011
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. . Remote Sensing Technology and Application, 2001, 16(2): 77-80.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2001.2.77     OR     http://www.rsta.ac.cn/EN/Y2001/V16/I2/77

〔1〕 Singh A. Digital Change Techniques Using Remotely-sensedData〔J〕. Int J Remotesens,1989,10(6):989~1003.〔2〕 Jensen J R, Toll D L. Detecting Resident Land UseDevelopment at the Urban Fringe〔J〕. Photogramm Eng&Remote Sens, 1982,48:629~643.〔3〕 Coppin P R, Bauter M E. Digital Change Detection in ForestEcosystems with Remote Sensing Imagery〔J〕. RemoteSensing Reviews,1996,13:207~234.〔4〕 Pohl C, VanGenderen J L. Multisensor Image Fusion inRemote Sensing:Concepts, Methods and Applications〔J〕.IntJ Remote Sens,1998,19(5):823~854.〔5〕 Hall F G, Strebel D E, Nickeson J E,et al. RadiometricRectification: Toward a Common Radiometric ResponseAmong Multidate, Multi Sensor〔J〕.Images, Remote SenEnviron,1991,35:11~27.〔6〕 孙丹峰,周光源,杨冀红.变化信息监测的时域HIS变换〔J〕.国土资源遥感,2000,45(3):53~56.〔7〕 Franklin S E, Peddle D R. Spectral Texture for ImprovedClass Discrimination in Complex Terrain〔J〕. Int J RemoteSens,1989,10(8):1437~1443.〔8〕 Franklin S E, Peddle D R. Classification of SPOT HRVImgery and Textures〔J〕.Int J Remote Sens,1990,11(3):551~556.〔9〕 Marceau D J, Howaeth P J, Dubois J M,et al. Evaluation ofthe Gray-level Cooccurrence Matrix Method for Land-coverClassification Using SPOT Imagery〔J〕. IEEE Trans GeosciRmote Sens, 1990,28(4):513~518.〔10〕 Haralick R M, Shanmugan K, Dinsrein I. Textural Featuresfor Imageclassification〔J〕.IEEE Trans Syst Man Cybern,1973,6:610~621.〔11〕 中华人民共和国国土资源部.土地利用动态遥感监测规程〔Z〕.1999,9,北京.
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