Finding appropriate interpolation techniques for topographic surface generation for mudslide risk zonation

Abstract

Mudslides and debris flows are now more common problems in tropical regions than landslides. This article addresses the issue of modelling mudslide-susceptible locations using an information value approach. Landsat 7 (ETM+) was employed to create a land-use map with limited field checks. Other parameters considered were lineament, road, soil, stream network and lithology. Topographic parameters such as slope and aspect play a dominant role in slope stability studies. Maps for slope and aspects were developed from a digital elevation model using statistical surface interpolation techniques. This article offers insight into the importance of the selection of suitable surface interpolation techniques. The three surface interpolation techniques evaluated in the study were: inverse distance weighted, Kriging and Spline. These were found to have varied accuracies of interpolation surfaces for all parameters, including elevation, slope and aspect. Surfaces offering the best accuracy were adopted for the information value approach for mudslide susceptibility zonation.

Keywords:

• mudslide risk zonation
• information value approach
• surface interpolation techniques

Acknowledgements

We thank Naresuan University, Thailand, for substantial financial support in carrying out this study. Mae Cham villagers are gratefully acknowledged for their field work support and for providing facilities for assistance.