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Proceedings Paper

Quantitative analysis and spatial distribution of slope spectrum: a case study in the Loess Plateau in north Shaanxi province
Author(s): Fayuan Li; Guoan Tang; Chun Wang; Ting Zhang
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Paper Abstract

Slope spectrum is defined as a statistic model of slope distribution in a certain area. Previous researches mainly focus on morphology depiction of the slope spectrum; its spatial distribution is unknown yet, especially in the Loess Plateau. Theory and methodology of information entropy and statistics are applied for the objective of quantitatively analyzing the slope spectrum and its spatial distribution in the Loess Plateau in North Shaanxi province. Experiment results show that slope spectrum's information entropy (H), skewness of slope spectrum (S) and terrain driving force factor (Td) can appropriately depict the slope spectrum and its spatial distribution from different points of view. Spatial distribution of the slope spectrum represents spatial distribution of loess landform types, and it is correlatable with spatial distribution of soil erosion intensity in the Loess Plateau. H, Td and gully density, surface incision depth show positive correlation: gully density and surface incision increase as H, Td increase. On the contrary, the S and gully density, surface incision depth show negative correlation. Lastly, spatial relationship between slope spectrum and loess landform types are qualitatively analyzed, and loess landform evolution as well.

Paper Details

Date Published: 25 July 2007
PDF: 10 pages
Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 67531R (25 July 2007); doi: 10.1117/12.761894
Show Author Affiliations
Fayuan Li, Nanjing Normal Univ. (China)
Institute of Mountain Hazards and Environment (China)
Guoan Tang, Nanjing Normal Univ. (China)
Chun Wang, Nanjing Normal Univ. (China)
Ting Zhang, Nanjing Normal Univ. (China)

Published in SPIE Proceedings Vol. 6753:
Geoinformatics 2007: Geospatial Information Science
Jingming Chen; Yingxia Pu, Editor(s)

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