Landslides and active faults using remote sensing and GIS techniques in Central Alborz mountains, Iran

The attempt has been done on study of habitat factors for the distribution of 370 landsides. This study is based on landform features and landslides associated with active faults distribution using remote sensing, GIS and GPS techniques in the Central Alborz, North Iran. Field observations show that...

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Main Authors: Mousavi, Seyed Ramzan, Pirasteh, Saied, Mansor, Shattri, Ali, Amani
Format: Article
Language:English
Published: 2009
Online Access:http://psasir.upm.edu.my/id/eprint/22948/
http://psasir.upm.edu.my/id/eprint/22948/1/Landslides%20and%20active%20faults%20using%20remote%20sensing%20and%20GIS%20techniques%20in%20Central%20Alborz%20mountains%2C%20Iran.pdf
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author Mousavi, Seyed Ramzan
Pirasteh, Saied
Mansor, Shattri
Ali, Amani
author_facet Mousavi, Seyed Ramzan
Pirasteh, Saied
Mansor, Shattri
Ali, Amani
author_sort Mousavi, Seyed Ramzan
building UPM Institutional Repository
collection Online Access
description The attempt has been done on study of habitat factors for the distribution of 370 landsides. This study is based on landform features and landslides associated with active faults distribution using remote sensing, GIS and GPS techniques in the Central Alborz, North Iran. Field observations show that the mass movements on low angle occur most frequently near to active faults. In steep slopes avalanche and planar slides are dominant. In this study digital image processing has been done on the ASTER L1A, L1B and Landsat7 ETM+ images. GIS layers have been extracted from 370 historical landslides and active faults over the study area. Digital Elevation Model (DEM) (15m) has been generated from ASTER stereo pair data using PCI Geomatica 9.1 software. The use of a (15m) DEM is a potential substitute in tectonic activity analysis, as it highly correlates with slope instability, geomorphologic processes and factors affecting landslides. Appropriate landform parameters have been derived which are indicating landslides and faults distribution, exposure towards rain and snow. Tectonic classification schemes decomposing the landscape into basic landform-elements proved useful for characterizing a zonal, altitudinal landslide classes. The results show that more than 72 percent of landslide points are situated on the active faults buffer zone. It can be used as fundamental data for hazard prediction, land use planning and construction in study area.
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spelling upm-229482015-12-01T01:04:51Z http://psasir.upm.edu.my/id/eprint/22948/ Landslides and active faults using remote sensing and GIS techniques in Central Alborz mountains, Iran Mousavi, Seyed Ramzan Pirasteh, Saied Mansor, Shattri Ali, Amani The attempt has been done on study of habitat factors for the distribution of 370 landsides. This study is based on landform features and landslides associated with active faults distribution using remote sensing, GIS and GPS techniques in the Central Alborz, North Iran. Field observations show that the mass movements on low angle occur most frequently near to active faults. In steep slopes avalanche and planar slides are dominant. In this study digital image processing has been done on the ASTER L1A, L1B and Landsat7 ETM+ images. GIS layers have been extracted from 370 historical landslides and active faults over the study area. Digital Elevation Model (DEM) (15m) has been generated from ASTER stereo pair data using PCI Geomatica 9.1 software. The use of a (15m) DEM is a potential substitute in tectonic activity analysis, as it highly correlates with slope instability, geomorphologic processes and factors affecting landslides. Appropriate landform parameters have been derived which are indicating landslides and faults distribution, exposure towards rain and snow. Tectonic classification schemes decomposing the landscape into basic landform-elements proved useful for characterizing a zonal, altitudinal landslide classes. The results show that more than 72 percent of landslide points are situated on the active faults buffer zone. It can be used as fundamental data for hazard prediction, land use planning and construction in study area. 2009-07 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/22948/1/Landslides%20and%20active%20faults%20using%20remote%20sensing%20and%20GIS%20techniques%20in%20Central%20Alborz%20mountains%2C%20Iran.pdf Mousavi, Seyed Ramzan and Pirasteh, Saied and Mansor, Shattri and Ali, Amani (2009) Landslides and active faults using remote sensing and GIS techniques in Central Alborz mountains, Iran. Disaster Advances, 2 (3). pp. 24-29. ISSN 0974-262X; ESSN: 2278-4543 http://worldresearchjournals.com/disas_backissue/vol%282%292009/july2009.aspx
spellingShingle Mousavi, Seyed Ramzan
Pirasteh, Saied
Mansor, Shattri
Ali, Amani
Landslides and active faults using remote sensing and GIS techniques in Central Alborz mountains, Iran
title Landslides and active faults using remote sensing and GIS techniques in Central Alborz mountains, Iran
title_full Landslides and active faults using remote sensing and GIS techniques in Central Alborz mountains, Iran
title_fullStr Landslides and active faults using remote sensing and GIS techniques in Central Alborz mountains, Iran
title_full_unstemmed Landslides and active faults using remote sensing and GIS techniques in Central Alborz mountains, Iran
title_short Landslides and active faults using remote sensing and GIS techniques in Central Alborz mountains, Iran
title_sort landslides and active faults using remote sensing and gis techniques in central alborz mountains, iran
url http://psasir.upm.edu.my/id/eprint/22948/
http://psasir.upm.edu.my/id/eprint/22948/
http://psasir.upm.edu.my/id/eprint/22948/1/Landslides%20and%20active%20faults%20using%20remote%20sensing%20and%20GIS%20techniques%20in%20Central%20Alborz%20mountains%2C%20Iran.pdf