Landform classification using topography position index (case study: salt dome of Korsia-Darab plain, Iran)

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Abstract

In the research aim is to evaluate the Jennes algorithm for landform classification in salt dome of Korsia of Darab plain, Iran. The Jennes’s approach uses a multi-scale approach by fitting a quadratic polynomial to a given window size using least squares. In the study used window size of 3*3 and 10*10. Input data for landform classification is digital elevation model (DEM) with resolution of 30 m. After prepared landform classification map for the study area, used geology map. The results show that the evaluated method can be helpful in the predictive mapping of geology. The algorithm of landforms classification proposed by Jennes seem to be the most applicable method.

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Mokarram, M., Roshan, G., & Negahban, S. (2015). Landform classification using topography position index (case study: salt dome of Korsia-Darab plain, Iran). Modeling Earth Systems and Environment, 1(4). https://doi.org/10.1007/s40808-015-0055-9

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