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Open AccessArticle

DEM-Based Vs30 Map and Terrain Surface Classification in Nationwide Scale—A Case Study in Iran

1
Department of Remote Sensing and GIS, University of Tabriz, Tabriz 5166616471, Iran
2
Institute of Environment, University of Tabriz, Tabriz 5166616471, Iran
3
Department of Architecture and Building Engineering, School of Environment and Society, Tokyo Institute of Technology 4259-G3-2 Nagatsuta, Midori-ku, Yokohama 226-8502, Japan
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(12), 537; https://doi.org/10.3390/ijgi8120537
Received: 22 October 2019 / Revised: 24 November 2019 / Accepted: 24 November 2019 / Published: 27 November 2019
(This article belongs to the Special Issue Geomatics and Geo-Information in Earthquake Studies)
Different methods have been proposed to create seismic site condition maps. Ground-based methods are time-consuming in many places and require a lot of manual work. One method suggests topographic data as a proxy for seismic site condition of large areas. In this study, we mainly focused on the use of an ASTER 1c digital elevation model (DEM) to produce Vs30 maps throughout Iran using a GIS-based regression analysis of Vs30 measurements at 514 seismic stations. These maps were found to be comparable with those that were previously created from SRTM 30c data. The Vs30 results from ASTER 1c estimated the higher velocities better than those from SRTM 30c. In addition, a combination of ASTER 1c and SRTM 30c amplification maps can be useful for the detection of geological and geomorphological units. We also classified the terrain surface of six seismotectonic regions in Iran into 16 classes, considering three important criteria (slope, convexity and texture) to extract more information about the location and morphological characteristics of the stations. The results show that 98% of the stations are situated in six classes, 30% of which are in class 12, 27% in class 6, 17% in class 9, 16% in class 3, 4% in class 3and the rest of the stations are located in other classes.
Keywords: Vs30; DEM; GIS; regression analysis; topographic data; terrain classification Vs30; DEM; GIS; regression analysis; topographic data; terrain classification
MDPI and ACS Style

Karimzadeh, S.; Feizizadeh, B.; Matsuoka, M. DEM-Based Vs30 Map and Terrain Surface Classification in Nationwide Scale—A Case Study in Iran. ISPRS Int. J. Geo-Inf. 2019, 8, 537.

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