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Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/789
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| Title: | Approaches for comparative evaluation of raster GIS-based landslide susceptibility zonation maps. |
| Authors: | Gupta, R P
Kanungo, D P
Arora, M K
Sarkar, S |
| Keywords: | Landslide susceptibility zonation
Comparative evaluation
Density analysis
Error matrix analysis
Difference image analysis
2008 |
| Issue Date: | 5-Mar-2012 |
| Abstract: | Evaluation of maps generated from different conceptual models or data processing approaches at spatial level has importance in
many geoenvironmental applications. This paper addresses the spatial comparison of different landslide susceptibility zonation
(LSZ) raster maps of the same area derived from various procedures.
In hilly regions such as the Himalayas, occurrence of landslides is frequent, which necessitates the study of landslides in the
region for future developmental planning. A critical aspect in landslide studies is the procedure for assignment of weights to various
causative factors affecting the occurrence of landslides. A detailed study on conventional, artificial neural network (ANN) black
box, fuzzy set based and combined neural and fuzzy weighting procedures for LSZ mapping in the Himalayas has recently been
published by the authors in [Kanungo, D.P., Arora, M.K., Sarkar, S., Gupta, R.P., 2006. A comparative study of conventional, ANN
black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling
Himalayas. Engineering Geology 85, 347–366]. The evaluation of various maps in that study was however based only on
comparison of areal extents of various landslide susceptibility zones. In this paper, we present a spatial level comparative evaluation
of those maps to get a detailed insight into the performance of each of the weighting procedures for landslide susceptibility zonation.
The evaluation has been done through three approaches, viz., landslide density analysis, error matrix analysis and difference image
analysis. Based on the landslide density values, it is inferred that the combined neural and fuzzy procedure for LSZ mapping appears
to be significantly better than other procedures. The error matrix analysis highlights the significant difference between the
conventional subjective weight assignment procedure and the objective combined neural and fuzzy procedure. Finally, the
significant influence of a causative factor has been revealed by difference image analysis. The use of these spatial evaluation
approaches in tandem may be highly beneficial to quantitatively assess the landslide susceptibility zonation or any other such maps.
# 2008 Elsevier B.V. All rights reserved. |
| Description: | International Journal of Applied Earth Observation and Geoinformation, Vol. 10, pp.330-341. |
| URI: | http://hdl.handle.net/123456789/789 |
| Appears in Collections: | Published Articles
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