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REMOTE SENSING FOR LAND & RESOURCES    2013, Vol. 25 Issue (1) : 111-116     DOI: 10.6046/gtzyyg.2013.01.20
Technology Application |
Analysis of the fractal dimension in the Golmud River basin based on DEM
YUAN Xiaoping1, LIU Shaofeng1, TIAN Guizhong2, CHEN Li1, YU Jing1
1. School of the Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China;
2. Institute of Civil Engineering and Transportation, Liaoning Technical University, Fuxin 123000, China
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Abstract  

Fractal theory could provide quantitative basis for such aspects of the basin as its complex landform and its development process. For further study of river fractal dimension, the authors extracted the river networks of Golmud River basin on the basis of the ASTER-GDEM data and according to different confluence accumulation thresholds. Using the hydrologic analysis model of geographic information system, the authors calculated the corresponding river fractal dimension with the box dimension method so as to describe the topography characteristics of the valley and predict the evolution trend of drainage landform. The results show that, in some non-standard ranges, concentration accumulation thresholds fit fractal dimensions well. The fractal dimension values of Golmud River basin are approximately between 1.6 and 1.8, suggesting that this basin is in the mature stage of geomorphological erosion and tends to develop into the late mature stage. The terrain rises and falls greatly with the fragmentation of the ground. The erosion of rivers is mainly lateral,and the down-cutting is relatively weak. This conclusion is in consistency with the calculation result of the hypsometric integral.

Keywords hyperspectral remote sensing imagery      spectral unmixing      linear spectral mixture model      nonlinear spectral mixture model      secondary scattering model     
:  TP79  
Issue Date: 21 February 2013
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YU Xianchuan
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ZHANG Libao
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YU Xianchuan,LI Jianguang,XU Jindong, et al. Analysis of the fractal dimension in the Golmud River basin based on DEM[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(1): 111-116.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2013.01.20     OR     https://www.gtzyyg.com/EN/Y2013/V25/I1/111
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