DocumentCode :
2455401
Title :
Study on channel islands in Ma-wu-tong Section of Yangtze River based on remote sensing image
Author :
Gao, Chao ; Wang, Chuanhui
Author_Institution :
Coll. of Territorial Resources & Tourism, Anhui Normal Univ., Wuhu, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
3512
Lastpage :
3515
Abstract :
There are many accumulation channel islands in Ma-wu-tong Section of Yangtze River, and the area of channel islands change rapidly. We choose eight channel islands and study their changes on TM(Thematic Map) which date are 1979s, 1990s, 2001s, 2006s and 2009s. We determined the spectrum of typical objects in channel islands by ISI921VF-256T Field Spectroradiometer, combined the right bands, and interpreted the images by geometric correction, subset images, binarization processing, convolution, clump. Through the interpreter, we draw the changes of 8 channel islands and we got: (1)TM remote sensing data could be used to achieve channel islands change information quickly and accurately; (2)The 8 channel islands were extended continually during past 30 years. The speed of extended was not averagely, and reducing water or decreasing the sediment-carrying capacity maybe result in that phenomenon; (3)Evolution of channel islands were constraints by natural factors and human factors. A direct result of natural factors was ablation or siltation of channel islands, and human factors change would result in the change of external substances, which was composition of channel islands.
Keywords :
convolution; radiometers; remote sensing; rivers; sediments; China; ISI921VTF-256T field spectroradiometer; Ma-wu-tong section; Thematic Map remote sensing data; Yangtze River; binarization process; channel island evolution; convolution method; remote sensing data; remote sensing image; sediment-carrying capacity; Data mining; Discharges; Feature extraction; Human factors; Remote sensing; Rivers; Sediments; Ma-wu-tong Section of Yangtze River; Thematic Map; channel islands;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
Type :
conf
DOI :
10.1109/RSETE.2011.5965085
Filename :
5965085
Link To Document :
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