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Proceedings Paper

Accuracy assessment of land cover dynamic in hill land on integration of DEM data and TM image
Author(s): Yunmei Li; Xin Wang; Qiao Wang; Chuanqing Wu; Jiazhu Huang
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Paper Abstract

To accurately assess the area of land cover in hill land, we integrated DEM data and remote sensing image in Lihe River Valley, China. Firstly, the DEM data was combined into decision tree to increase the accuracy of land cover classification. Secondly, a slope corrected model was built to transfer the projected area to surface area by DEM data. At last, the area of different land cover was calculated and the dynamic of land cover in Lihe River Valley were analyzed from 1998 to 2003. The results show that: the area of forestland increased more than 10% by the slope corrected model, that indicates the area correcting is very important for hill land; the accuracy of classification especially for forestland and garden plot is enhanced by integrating of DEM data. It can be greater than 85%. The indexes of land use extent were 266.2 in 1998, 273.1 in 2001, and 276.7 in 2003. The change rates of land use extent were 2.59 during 1998 to 2001 and 1.34 during 2001 to 2003.

Paper Details

Date Published: 13 May 2010
PDF: 8 pages
Proc. SPIE 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 76952J (13 May 2010); doi: 10.1117/12.852335
Show Author Affiliations
Yunmei Li, Nanjing Normal Univ. (China)
Xin Wang, Nanjing Normal Univ. (China)
Qiao Wang, Satellite Environment Application Ctr. (China)
Chuanqing Wu, Satellite Environment Application Ctr. (China)
Jiazhu Huang, Nanjing Normal Univ. (China)


Published in SPIE Proceedings Vol. 7695:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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