Analysis on the Approach to Determine an Appropriate Window Size for Grid-Based Digital Terrain

HU Xuemei; QIN Chengzhi

doi:10.13203/j.whugis20140476

Volume 42 Issue 10

Oct. 2017

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Geomatics and Information Science of Wuhan University > 2017 > 42(10): 1365-1372. > DOI: 10.13203/j.whugis20140476

HU Xuemei, QIN Chengzhi. Analysis on the Approach to Determine an Appropriate Window Size for Grid-Based Digital Terrain[J]. Geomatics and Information Science of Wuhan University, 2017, 42(10): 1365-1372. DOI: 10.13203/j.whugis20140476

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Analysis on the Approach to Determine an Appropriate Window Size for Grid-Based Digital Terrain

HU Xuemei^{1, 2,},
QIN Chengzhi^{2, 3, 4, ,}

1.
Xi'an Maps Press, Xi'an 710054, China
2.
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
3.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
4.
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, School of Geographic Science, Nanjing Normal University, Nanjing 210023, China

Funds:

The National Natural Science Foundation of China 41422109

The National Natural Science Foundation of China 41431177

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Author Bio:
HU Xuemei, master, specializes in digital terrain analysis. E-mail:huxm@lreis.ac.cn
Corresponding author:
QIN Chengzhi, PhD, professor. E-mail:qincz@lreis.ac.cn
Received Date: March 21, 2017
Published Date: October 04, 2017

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Abstract

Abstract

Due to the scalar effects of changing window sizes in grid-based digital terrain analysis, it is important to determine an appropriate window size for calculating local topographic attributes in practice. A reasonable appropriate window size must be spatial-variant but constant, such as the often-used window size of 3×3. Currently, a potentially-available approach for determining an appropriate window size characterizes a scale-effect curve derived from a specific kind of local topographical attribute calculated for different window sizes, as proposed by Schmidt and Andrew (2005). However, there has ben little evaluation of this approach, such as research on the effects of different topographic attributes used, applicability in areas with different terrain conditions under different grid sizes. In this paper we conduct an experiment to evaluate this approach. We test two kinds of local topographic attributes (i.e., slope gradient and profile curvature) in three study areas with different terrain conditions under different grid sizes. Experimental results show that the results for appropriate window size achieved based on different topographical attributes were totally different. However, further analysis shows that slope calculation in real applications, the results of spatially-variant appropriate window size by the tested approach perform almost same as the constant window size of 3×3, which is the traditional option. So the current approach to determining spatially-variant appropriate window size might not be effective. Further study on a design for a new and effective approach is needed to determine the spatially-variant appropriate window size for calculating local topographic attributes

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