Browse > Article

An Objective Procedure to Decide the Scale Factors for Applying Land-form Classification Methodology Using TPI  

Jang, Kwangmin (Department of Forest Resources, Seoul National University)
Song, Jungeun (Department of Forest Resources, Seoul National University)
Park, Kyeung (Department of geography, Sungshin Women's University)
Chung, Joosang (Department of Forest Resources, Seoul National University,Research Institute for Agriculture and Life Sciences, Seoul National University)
Publication Information
Journal of Korean Society of Forest Science / v.98, no.6, 2009 , pp. 639-645 More about this Journal
Abstract
The objective of this research was to introduce the TPI approach for interpreting land-forms of mountain forests in South Korea. We develop an objective procedure to decide the scale factor as a basic analytical unit in land-form classification of rugged mountain areas using TPI. In order to determine the scale factor associated with the pattern of slope profiles, the gradient variance curve was derived from a revised hypsometric curve developed using the relief energy of topographic profiles. Using the gradient variance curve, found was the grid size with which the change in relief energy got the peak point. The grid size at the peak point was determined as the scale factor for the study area. In order to investigate the performance of the procedure based on the gradient variance curve, it was applied to determination of the site-specific scale factors of 3 different terrain conditions; highly-rugged, moderately-rugged and relatively less-rugged. The TPI associated with the corresponding scale factors by study site was, then, determined and used in classifying the land-forms. According to the results of this study, the scale factor gets shorter with more rugged terrain conditions. It was also found that the numbers of valleys and ridges estimated with TPI show almost the same trends as those of the observed and the scale factors tends to approach to the mean distance of ridges.
Keywords
landform analysis; topographic position index; scale factor; relief energy;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 우충식, 이창우, 정용호. 2008. 산사태 발생지 예측을 위한 Topographic Position Index의 적용성 연구. 한국환경복원녹화기술학회, 11(2): 1-9
2 박경훈, 김경태, 곽행구, 이우성. 2007. Topographic Position Index를 활용한 산지습지 분포예측. 한국지리정보학회, 10(1): 194-204
3 성춘자, 2003. GIS를 이용한 지형요소 분석과 지형분류에 관한 연구. 국토지리학회, 37(2): 155-161
4 Philip, T.G. and Steven, E.F. 1998. An automated approach the classification of the slope units using digital data. Geomorphology, 21: 251-264   DOI   ScienceOn
5 Speight, J.G. 1990. Landform. In 'Australian Soil and Land Survey Field Handbook' 2nd Ed. (McDonald, R.C., Isbell, R.F., Speight, J.G., Walker, J.,and Hopkins, M.S. Eds.). Inkata Press, Melbourne
6 Gerrard, J. 1992. Soil Geomorphology, Chapman & Hall, London
7 Skidmore, A.K. 1990. Terrain position as mapped from a gridded digital elevation model. Int. J. Geographical Information Systems. 4: 33-49   DOI   ScienceOn
8 Dickson, B. and Beier, P. 2007, Quantifying the influence Of Topographic Position On Cougar Movement In Southern California. Journal of Zoology, 271(3): 278-287   ScienceOn
9 Blaschke, T. and Strobl, J. 2001. What's wrong with pixel? Some recent developments interfacing remote sensing and GIS. GIS-Zeitschrift fur Geoinformationssystem, 6: 12-17
10 Dikau, R., Brabb, E.E. and Mark, R.M. 1991. Landform calssification of New Mexico by computer. U.S. Department of the Interior. U.S. Geological Survey. Open-file report
11 Michael, P.S., A-Xing Zhu, James, E.B., and Cynthia, S., 2006. The effects of DEM resolution and neighborhood size on digital soil survey. Geoderma, 137: 58-69   DOI   ScienceOn
12 Jenness, J. 2006. Topographic Position Index(tpi_jen.avx) v.1.2. Jenness Enterprises. Available at: http://www.jennessent.com/arcview/tpi.htm
13 Weiss, A.D. 2001, Topographic Positions and Landforms Analysis (Conference Poster). (San Diego, California: ESRI International User Conference). Indus Corporation
14 McBratney, A.B., De Gruijter, J.J. and Brus, D.J. 1992. Spatial prediction and mapping of continuous soil calsses. Geoderma, 54: 39-64   DOI   ScienceOn
15 Ruhe, R.V. 1975. Geomorphology. Houghton, Boston
16 Burnett, C. and Blaschke, T. 2003. A multi-scale segmentation/object relationship modeling methodology for landscape analysis. Ecol. Model, 168: 233-249   DOI   ScienceOn
17 Lars, B. 1998. GIS analysis of macro landform. Presented at the 10th colloquium of the Spatial Information Research Centre, University of Otago, New Zealand
18 이금삼, 조화룡, 1998. GIS기법에 의한 한국의 고도기복량 분석. 대한지리학회지 33(4): 487-497
19 Draugut, L. and Blaschke, T. 2006. Automated classification of landform elements using object-based image analysis. Geomorphology, 81: 330-344   DOI   ScienceOn
20 David D.R. and Glenn, D.M. 1997. Resource assessment in forest landscapes, John Wiley & Sons, Inc