First-Approximation Landslide Inventory Maps for Northern Pakistan, Using ASTER DEM Data and Geomorphic Indicators

Research Article| February 01, 2014 First-Approximation Landslide Inventory Maps for Northern Pakistan, Using ASTER DEM Data and Geomorphic Indicators M. FAROOQ AHMED; M. FAROOQ AHMED 1 Department of Geological Science and Engineering, Missouri University of Science and Technology, Rolla, MO 65409 1On leave from University of Engineering and Technology Lahore, Pakistan. Correspondence should be sent to: phone: 015732015165, email: mfanr5@mst.edu, or phone: 015733416198, email: rogersda@mst.edu. Search for other works by this author on: GSW Google Scholar J. DAVID ROGERS J. DAVID ROGERS Department of Geological Science and Engineering, Missouri University of Science and Technology, Rolla, MO 65409 Search for other works by this author on: GSW Google Scholar Author and Article Information M. FAROOQ AHMED 1 Department of Geological Science and Engineering, Missouri University of Science and Technology, Rolla, MO 65409 J. DAVID ROGERS Department of Geological Science and Engineering, Missouri University of Science and Technology, Rolla, MO 65409 1On leave from University of Engineering and Technology Lahore, Pakistan. Correspondence should be sent to: phone: 015732015165, email: mfanr5@mst.edu, or phone: 015733416198, email: rogersda@mst.edu. Publisher: Association of Environmental & Engineering Geologists First Online: 02 Mar 2017 Online ISSN: 1558-9161 Print ISSN: 1078-7275 © 2014 Association of Environmental & Engineering Geologists Environmental & Engineering Geoscience (2014) 20 (1): 67–83. https://doi.org/10.2113/gseegeosci.20.1.67 Article history First Online: 02 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation M. FAROOQ AHMED, J. DAVID ROGERS; First-Approximation Landslide Inventory Maps for Northern Pakistan, Using ASTER DEM Data and Geomorphic Indicators. Environmental & Engineering Geoscience 2014;; 20 (1): 67–83. doi: https://doi.org/10.2113/gseegeosci.20.1.67 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyEnvironmental & Engineering Geoscience Search Advanced Search Abstract The compilation of a landslide inventory is a good thing to do before undertaking more detailed work in landslide-prone areas. Remotely sensed data and geographic information system (GIS) software can be combined and manipulated to prepare reconnaissance-level landslide inventory maps at relatively low cost. The landslide mapping technique developed for this research began by constructing a stitched shaded topographic map of the Indus River watershed, using regional topographic maps with 40 m contours, combined with ASTER digital elevation model (DEM) data of 30 m resolution. Topographic recognition keys were then employed to aid in the visual identification and delineation of anomalous topography, suggestive of past land slippage. Hundreds of landslide-related features were mapped along the main stem of the Indus River in the Greater Himalaya Mountains, upstream of Tarbela Dam and Reservoir. Most of the mapped features appear to be composite and complex landslides, developed in the parent bedrock units. The hillshade topographic mapping technique helps geologists to identify and map active, dormant, and prehistoric landslide features on a regional scale. The main challenge for this landslide inventory map was the scarcity of available data for the region. The aim of this study was to provide a reconnaissance-scale hazard map intended to provide a qualitative, first-order inventory of landslides and related mass-wasting features that are subject to field verification. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.