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Remote Sensing Technology and Application  2008, Vol. 23 Issue (3): 310-315    DOI: 10.11873/j.issn.1004-0323.2008.3.310
article     
Inland Limnetic Wetlands Water Body Extraction Using TM Imagery
YU Huan 1,2,ZHANG Shu-qing1,LI Xiao-feng1,NA Xiao-dong1,2,KONG Bo1,2
(1.Northeast Institute of Geography and Agricultural Ecology,Chinese Academy of
Sciences,Changchun 130012, China |2.Graduate School,Chinese Academy of Sciences,Beijing 100049,China )
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Abstract  

Water was the crucial factor that kept wetlands stable and health,to fast and accurately extract wetlands water body using remote sensing imagery became an important wetlands investigation,research and protection method.Considering the middle spatial resolution and high spectrum resolution,high positioning accuracy and low price,TM remote sensing imagery would be one of the main data for wetlands investigation,research and protection.The research carried out an experiment of extracting water from inland limnetic wetlands using TM remote sensing imagery based on many arithmetic,and concluded that spectrum classification was the best among the area accuracy index,extraction accuracy index and visual effect index,the following was single band threshold and vegetation index method,however,multi-band relationship and water index method was the worst.The main negative factor that affect extraction result was that wetlands water couldn't be extracted absolutely,which was caused by the resolution of imagery and complex hydrology condition of wetlands.Therefore,pixel unmixing and multi-source remote sensing data fusion would be the important techniques of promoting water extraction accuracy.

Key words:  TM      Remote sensing imagery      Wetlands      Water body      Extractio     
Received:  10 January 2008      Published:  25 October 2011
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Cite this article: 

YU Huan,ZHANG Shu-qing,LI Xiao-feng,NA Xiao-dong,KONG Bo. Inland Limnetic Wetlands Water Body Extraction Using TM Imagery. Remote Sensing Technology and Application, 2008, 23(3): 310-315.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2008.3.310     OR     http://www.rsta.ac.cn/EN/Y2008/V23/I3/310

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