Application of supervised landform classification of 9-unit slope model for preliminary rockfall risk analysis in Gunung Kelir Indonesia

TitleApplication of supervised landform classification of 9-unit slope model for preliminary rockfall risk analysis in Gunung Kelir Indonesia
Publication TypeConference Paper
Year of Publication2013
AuthorsSamodra, Guruh, Guangqi Chen, Junun Sartohadi, and Kiyonobu Kasama
Conference NameGeomorphometry 2013
Date Published2013
Conference LocationNanjing, China
AbstractRockfall risk analysis requires assessment of susceptibility and identification of element at risk. To portray the susceptible area, geomorphologist opinion is commonly used to classify landform through interpretation of aerial photos and field survey. However, subjectivity of investigator hinders application of this method. Therefore, supervised landform classification of 9-unit slope model is applied in present study. The main objective of this study is to provide automated landform classification particularly for rockfall analysis. To achieve the primary objective, five main works are conducted in this study: 1) fieldwork , 2) DEM preprocessing, 3) DEM processing, 4) rockfall modeling, and 5) landform classification based on fuzzy k-means. The result reveals that the potential high risk is located in the transportational middle slope and colluvial footslope. This is useful information to account for the prioritization action of countermeasures policy and design. The application of supervised landform classification in Gunung Kelir poses reasonable result for preliminary rockfall risk assessment.
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