Share Email Print

Proceedings Paper

DEM based investigation of loess shoulder-line
Author(s): Guoan Tang; Chenchao Xiao; Dunxin Jia; Xin Yang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The existence of shoulder line is a typical and important characteristic of loess relief, which also plays a significant role in the study of loess landform and erosion process. The construction of a classification and quantifying indexes system are the essential work in the cognition of loess shoulder line. On one hand, along with the development of stream networks, shoulder lines extend themselves in the drainage area, the type and the indexes vary correspondingly as well; on the other hand, a specific type of a shoulder line and its character are the representation of gully development phases. High precision DEMs proves to be a suitable information source in the extraction of loess shoulder lines. Experiment in this study show that 5 meter resolution DEMs is available in extracting of loess shoulder lines after some specific processing. Mathematic morphological method is employed in the process to creating a consecutive shoulder line. Based on proper derivation method and the quantifying indexes system, a deep study of shoulder could be achieved. Shoulder line spatial distribution result is accordant to that of the loess relief character. The study of shoulder line temporal distribution gives an even deeper and comprehensive understanding to the development of loess relief development.

Paper Details

Date Published: 25 July 2007
PDF: 12 pages
Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 67532E (25 July 2007); doi: 10.1117/12.761941
Show Author Affiliations
Guoan Tang, Nanjing Normal Univ. (China)
Chenchao Xiao, Nanjing Normal Univ. (China)
Dunxin Jia, Nanjing Normal Univ. (China)
Xin Yang, Nanjing Normal Univ. (China)

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

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?