Abstract
A preliminary landslide inventory map has been prepared for the Shyok River watershed in northern Pakistan. The document is intended for use as a screening tool in route selection of engineered infrastructure of this mountainous area preparatory to undertaking site-specific investigations of possible landslides that could adversely impact such routes. Remote sensing techniques and GIS software can be utilized to prepare a reconnaissance-level landslide inventory and gross susceptibility maps at relatively low cost. This watershed was selected as a test location for regional landslide inventory mapping because of the high density of deep-seated bedrock landslides. Topographic recognition keys were employed on a stitched shaded topographic map of the study area using 40-m contour topographic maps and 30-m resolution ASTER DEM data. The goal of these efforts is to delineate slopes with anomalous topography, often indicative of past land slippage. Most of the landslide features are expressive of composite and complex landslides, extending into the parent bedrock units. The results of this mapping were then compared with historic data and regional level landslide susceptibility maps. This effort is intended to serve as a reconnaissance-level inventory map to provide qualitative, first-order information about the probable existence of bedrock landslides and related mass wasting features, which are subject to field verification.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Avoid common mistakes on your manuscript.
Introduction
Rugged mountains exert a controlling influence in triggering rock avalanches and bedrock landslides all over the world (Hewitt 2002). Reconnaissance-level landslide susceptibility maps are those carried out without ground checking for verification, using remote sensing techniques and morphometric analogs of common landforms associated with recent landsliding. These products are intended to serve as preliminary evaluations, carried out prior to any significant development (Guzzetti et al. 1999; Balteanu et al. 2010; Ahmed and Rogers 2014). Landslide inventory maps can be prepared for any region based on anomalous topographic signatures (Varnes 1978; Hansen 1984; Carrara et al. 1991; Hutchinson 1968; Dikau et al. 1996; Cruden and Varnes 1996; Van Den Eeckhaut et al. 2009, 2011; Ahmed and Rogers 2014). Mass wasting events in excess of five contour interval lengths along the slope usually leave noticeable changes in surface topography (Ahmed and Rogers 2014). These patterns can be recorded, characterized, and mapped with the aid of remote-sensing imagery, such as aerial photographs, and digital elevation models (DEMs) data (Rib and Liang 1978; McCalpin 1984; Pike 1988). Various types of landslides exert unique and distinct surface expression, depending upon their respective slope movement, failure extent, depth, and size (Varnes 1978; Rogers/Pacific 1994; Cruden and Varnes 1996).
The scale of the inventory maps is influenced by the size of the study area, the resolution of available data, and financial resources. Small-scale landslide inventories (<1:100,000) can be prepared from the analysis of stereopair aerial photographs and hillshade topographic maps (Cardinali et al. 1990; Brabb 1991; Rogers/Pacific 1994; Guzzetti et al. 2006; Ahmed and Rogers 2014). Satellite imagery and shaded DEMs of varying resolutions are increasingly available world-wide, and can be utilized as significant tools in discerning the presence of past land slippage.
An understanding of these anomalous topographic features aids interpreters in identifying and reconstructing recent and prehistoric landslide features in the steep mountain valleys of the Karakoram and Himalaya ranges of Pakistan. According to Hewitt (2002), the geometry of the opposing slopes, run-out paths, and pattern of interfluves (higher ground between two rivers or former river terraces formed by earth flows and bisected by fluvial erosion; Whittow 1984) are significant variables controlling the shape and surface geomorphology of rock avalanches in this region. These mountains are renowned for the incidence of snow avalanches, rock avalanches, debris flows, rockfalls, and landslide dams (Hewitt 1982, 2002; Goudie et al. 1984; Rogers and Ahmed 2013; Ahmed et al. 2015). Roughly 5 % of the ~70,000 km2 of northern Pakistan was examined for mass wasting features (Hewitt 2002). The total area and volume of these rockslides varies from 2 to ~40 km2, and 1.5 × 106 to 20 × 106 m3, respectively (Hewitt 2002, 2011). Hewitt (2002) found more than 40 rock avalanches have impacted the main river channels in the Karakorum and Himalaya region, creating large impoundments of water. Many of these slide dams have been partially breached, while the remnant lakes continue to accumulate sediment for many kilometers upstream.
Many of the rockslide deposits in the Karakorum and Himalaya ranges are complex in nature and can be difficult to recognize in the field if they do not become significantly disaggregated with downslope translation. Environmental factors, such as weathering, erosion by glaciers and rivers, or deposition behind landslide dams, can also complicate their recognition. Most of the larger landslides are influenced by structural geologic features, such as bedding, foliation, jointing, sheared zones, and faults (Hewitt 2002; Ahmed and Rogers 2014). Many of the landslide and glacier dams, as well as glacial surges, have been documented in eastern part of the Karakoram and Nanga Perbat Haramosh Massif (NPHM) Ranges in the Upper Indus River Basin (Hewitt 1982, 2002).
The main focus of this study was to identify anomalous topographic expression (i.e., parallel and converging drainage patterns, divergent contours, crenulated contours, and isolated knobs, etc.) felt to be reflective of large-scale mass movements in the Shyok River Basin. The proposed methodology was then validated by comparing historically recorded landslides in the basin (Hewitt 1982, 1998, 2002; Korup et al. 2010; Hewitt et al. 2011) with those mapped “blind,” as part of this regional effort. In every case the historic landslides were positively identified.
Overview of the study area
The Shyok River is one of the main tributaries of the Indus River in northern Pakistan. This river originates from the Rimo Glaciers and a portion of the Siachen Glaciers (Negi 1991), then flows through the Kashmir region (Ladakh area) and enters northern Pakistan near the Ganche District. The Shyok River is fed by three principal tributaries, the Nubra (in Kashmir), Saltoro, and Hushe Rivers, and encompasses a watershed of 10,500 km2 (Fig. 1).The Shyok River flows approximately 550 km before it merges into the Indus River near Keris (Khaplo), east of Skardu.
The majority of hill slopes in northern Pakistan exceed 45°, with at least 500 m of elevation gain. The severity of the slopes aids the frequency of landslides (Hewitt 2002). The slopes within the Shyok watershed have spawned a dense array of bedrock landslides, which appear to have occurred more or less uninterrupted throughout the Holocene. The river channel exhibits slight meandering or braided flow where the valleys spread out and widen (e.g., at Nubra and Khaplo). This tendency increases after the river passes through steep-sided gorges. Devastating flooding has been reported more than 1200 km downstream of the river, due to the catastrophic failures of natural dams, between 1926 and 1932 (Hewitt 1982, 2002). The valley bottoms are filled with fine, well-sorted, silty and sandy sediments accumulated in reservoirs trapped behind temporary landslide dams. Breached landslide dams have been identified at Haldi, Hum Bluk Hushe, Litak Hushe, Kunis-Ghah, and Shyok. Each of the outbreak floods associated with these breaches have deposited elevated, but discontinuous, outbreak flood terraces (Shroder and Bishop 1998; Hewitt 2002).
Geologic and tectonic settings
The Shyok River watershed is a part of the Karakorum-Himalaya crystalline and thrust zone (Kazmi and Jan 1997). The main part of the study area lies within the Karakoram metamorphic complex (Searle 1991). The dominant rock units in this complex include; gneisses, metasediments, marbles, and amphibolites, etc. The subordinate units include predominantly plutonic metasedimetary rocks of the Kohistan-Ladakh batholith (Kazmi and Jan 1997; Ahmad et al. 2003). The principal formations mapped within the study area are shown in Fig. 2 and their respective descriptions are presented in the legend.
Significant rockslides have been observed across the entire basin, without any particular preference to bedrock type or formation (Hewitt 2002). Most of the largest rockslides are believed to be seismically triggered, based on historic records and descriptions (Cockerill 1902; Mason 1914; Keefer 1984; Hewitt et al. 2011). A number of mega-rockslide avalanches (area >10 km2) have been documented along the main channel and its tributaries, including those at Masher-brum, Saltoro, and Khaplo (Hewitt 1998, 2002).
Methodology
Reprocessed advanced spaceborne thermal emission and reflection radiometer (ASTER) global digital elevation model 2 (GDEM2) tiles with 30-m pixel resolution of the Shyok River watershed were downloaded from an open source website (http://www.jspacesystems.or.jp/ersdac/GDEM/E/index.html). These GDEM tiles were then georeferenced to UTM Zone 43 N, using ENVI 4.8 (Environment for Visual Information Solutions software). The ASTER GDEM2 tiles appear to offer a better option for a regional level of studies over the older shuttle radar topography mission (SRTM) data (90 m, 3 arc s). This is likely ascribable to its higher resolution, which allows more accurate measurements in steep mountainous terrain due to higher radar reflectivity (Tachikawa et al. 2009; Tachikawa et al. 2011). The Shyok watershed was extracted using the hydrology module in ArcGIS10. The shape file of the Shyok River was then used to clip the hillshade map of the study area using spatial analyst tools.
The topographic map sheets employing 40-m contour intervals at 1:200,000 scale were obtained from an online source, "Topographic Maps of the World" (www.mapstor.com), and overlaid with the hillshade map to create a seamless shaded topographic map of the region. The study area was then subdivided into small sections using ArcGIS 10 and printed on large sheets (122 × 92 cm) to allow easy viewing from any azimuth, which helps delineate landslide features. The mapped landslides and related features were digitized in ArcGIS 10 and geo-referenced with the original hillshade map.
The most common landslide features are those that are generally easiest to identify by their anomalous topographic expression (Doyle and Rogers 2005). These include translational block slides, earthflows, retrogressive slump complexes, and debris flows (WP/WLI 1993), shown in Fig. 3. The guidelines provided in the literature enable the recognition of different types of landslide-related features (Rogers 1980; Crosta 2001; Glade 2001; Crozier 2010; Van Den Eeckhaut et al. 2009, 2011; Hsiegh et al. 2012; Ahmed and Rogers 2014).
A comparative examination of slopes is of the utmost importance in identifying evidence of mass wasting. Such features are laterally restricted, because landslides tend to translate downslope, disrupting topographic patterns controlled by bedrock structure, such as benches and cliffs (Rogers 1980; Rogers/Pacific 1994; Doyle and Rogers 2005). The screening process begins with an examination of topographic patterns, searching for anomalies and inconsistencies which do not appear on adjacent slopes or changes which do not appear to be typical of underlying lithologic and structural contacts (Terzaghi 1950; Rogers 1980; Cruden and Varnes 1996; Doyle and Rogers 2005; Crozier 2010; Hart et al. 2012). In some cases, deranged or parallel drainage patterns allow large features, such as detachment complexes and landslides, to be easily discerned (Doyle and Rogers 2005).
The most common topographic anomalies associated with landslides are briefly described below (also see Fig. 3).
Divergent contours
Contours that curve upslope adjacent to contours that curve downslope. These often suggest the removal of material (deflation) from the upper portion of a landslide and deposition (inflation) in the lower portion of the slope.
Crenulated contours
Contours that exhibit waviness or scalloping, not otherwise associated with the underlying geologic material and/or structure. Crenulated contours are often diagnostic of terrain underlain by repeated sequences of superposed land slippage, especially flowage of disaggregated debris.
Arcuate headscarp evacuation areas
Arcuate headscarp evacuation areas are steep-sided, curvilinear features at the upslope boundary of a landslide, formed by translation of sliding material downslope.
Isolated topographic benches
Isolated topographic benches are relatively broad, flat areas which often form below the headscarp evacuation area formed by back-rotation of slumped masses or infilling of pull-apart grabens.
Extended topographic ridges or isolated topographic knobs
These features are often formed by deep-seated translational movement of slump blocks or translational slides causing separation of a ridge’s caprock.
Sudden up- or down-slope turns in hillside contours
Sudden up- or down-slope turns in hillside contours result from sharp changes in topography that do not appear related to the underlying geologic structure or material changes. They are often caused by downslope movement of an isolated portion of the hillside, parallel to the slope’s natural fall-line.
In steep mountainous areas, the ASTER-derived GDEM2 tiles with 30 m resolution are generally suitable for the identification of landslides greater than five times the contour interval (Ahmed and Rogers 2014). For example, if the contour interval is 40 m, the slide feature would need to perturb at least five consecutive contours to be discerned. If a translational slide occurred on a natural slope inclined about 26° that would necessitate an elevation differential of at least 200 m, which would have a minimum length of about 500 long on a map (Ahmed and Rogers 2014).
Rogers/Pacific (1994) and Rogers (1998) presented 13 steps for mapping common landslide features using topographic indicators. These include very large, deep-seated bedrock slides down to shallow earthflows. This simplified procedure was based on the guidelines presented by Terzaghi 1950, Varnes et al. 1984, Hutchinson 1968, Carrara et al. 1991, and Cruden and Varnes 1996. Most of the smaller slides in mountainous terrain are developed upon deep-seated “parent slides” (landslides that extend well below the weathered regolith, into underlying strata). In this criterion, each stage involved in the initiation of various types and/or scales of sliding are explained and described in a comprehensive manner, using block diagrams and topographic expressions typical of terrain that has suffered deep-seated sliding (Figs. 3, 4). By following the guidelines explained above, the geomorphic analyses (using the topographic mapping protocols) were performed across the Shyok River watershed to identify those anomalous features likely to be attributable to mass wasting (Fig. 5).
Results and discussions
The application of anomalous topographic protocols allowed the identification and reconstruction of many landslide features in the steep mountain valleys of the Karakoram and Himalaya. According to Hewitt (2002), the geometry of the (impact) opposite slopes, run-out paths, and pattern of interfluves, are major controlling factors shaping the surface morphology of rock avalanches in this region.
This reconnaissance-level inventory identified over 600 landslide features more than 500 m long in the Shyok River Basin (Fig. 6). The average size of the mapped slide features was found to be >1000 m long based on the scale of the hillshade map. The majority of these landslide features appear to be composite landslides (WP/WLI 1993), demonstrating characteristics of more than one slide type likely developed in the parent rock units, because of complex deformation, high rates of tectonic uplift, and severe rates of denudation. Subsequent movements are often of a different type, due to toe erosion, monsoons, and earthquakes. These stress tensors often trigger smaller slump blocks, flows, and rock avalanches.
A comparison was then made of this inventory map with the available data on historic documented landslides (Hewitt 1982, 2002, 2011). This suggests that nearly all of the documented features overlap with those slides denoted on the landslide inventory map (see Fig. 7).
Some example features have been selected to describe the mapping procedures. Figure 8 presents an excerpt of the landslide inventory map from the Hushe River. The topographic map exhibited anomalous features along the both sides of the river, indicative of numerous mega slides and past landslide dams (with volumes >10 million m3). The historic rockslides in this region include interfluve overflow type, such as the Hum Bluk event, as well as extreme impact slope effects, like the Litak landslide along the Hushe River (also shown in Fig. 8). The debris generated from these rock avalanche dams had sufficient kinetic energy to run up the opposing slopes (Hewitt 2002).
Figure 9 shows the Khaplo area along the Shyok River, a few kilometers downstream of its junction with the Hushe River. The rocks exposed in this region are of Mesozoic to Paleozoic age and include volcanic rocks, limestone, red shale, and conglomerates. The Karakoram thrust fault passes through this area, from SE to NW (see Fig. 2). The mapped landslides and historically documented features in this region are denoted in Fig. 9a.
The Haldi prehistoric rockslide avalanche is another example of an overtopping interfluve type landslide. The source rock was located approximately 2000 to 2500 m above the valley floor. The rock avalanche debris initially filled in the Saltoro River valley, blocking the channel. Subsequent avalanche debris passed over the valley fill and rode up the opposing valley slopes (nearly 500 m high), overtopping it and then moving down the far slope (Hewitt 2002). Some portion of this debris also blocked the Shyok River Valley (see Fig. 9a, b).
Figure 10 shows the section of landslide inventory map in the Kharkoo area. The geologic units exposed in this region belong to the Karakoram Batholith and associated plutons intruding Miocene- to Cretaceous-age rocks. There are a number of historic landslides identified in this area, shown as red dots. The historic Kunis-Ghwah landslide is a prominent interfluve event in this area. The epigenetic gorge in this region was formed because of the emplacement of many historic rockslide deposits along the Shyok River (i.e., Kunis-Gwah rock avalanche event). Hewitt (2002) observed that the distal deposits of these types of avalanche events generally moved downward and stalled against the opposite slope, creating asymmetrically long profiles, with the main deposits emplaced against the opposing slopes, which is the salient feature of rockslide avalanches triggered in deep, narrow gorges. Due to their fault-controlled lineation (adjacent to the MKT), rock avalanche deposits have been utilized as permanent settlements for villages, infrastructure projects, and agriculture fields in the Khaplo, Skardu, and other districts of northern Pakistan (Hewitt 2002). Recurring rockslides may have catastrophic impacts in these same areas. These issues need to be addressed, at least in the areas of economic interest and/or densely populated areas.
The reliability of these sorts of inventory maps depends upon the available historic landslide records and effective use of landslide identification protocols. The procedures employed in this study to delineate landslide-related features appear to have been validated by the historic data, but these data are spread over a large geographic area which has only been subject to recorded observations for about 200 years. Most of large historic events like the Hushe R, Haldi, Hum-Bluk and Kunis-Gwah events coincide with the landslide features identified in this inventory mapping. The Shyok River watershed inventory overlapped with the regional level landslide susceptibility hazard maps generated for the Indus River watershed (Ahmed et al. 2014). Most of the mapped features (more than 80 %) overlap areas with high to very high hazards (Fig. 11). These comparisons are encouraging for a reconnaissance-level study, which is only intended to identify features believed worthy of further study and field verification.
Conclusions
Topographic expression is a powerful tool in identifying slopes that have been modified by mass wasting processes. The use of topographic mapping protocols allows an inexpensive means to screen large mountainous regions for bedrock landslide features. This reconnaissance-level inventory identified over 600 bedrock landslide features more than 500 m long within the Shyok River watershed. The majority of these landslide features exhibit characteristics typical of composite landslides developed in the parent bedrock units. Most of the bedrock landslide features we identify are more than 1 km in length and tended to be structurally controlled when they were initially triggered.
The historic rockslide events identified in the Hushe and Khaplo areas of the Shyok River watershed (i.e., Haldi, Litak, and Kunis-Gwah) also exhibited anomalous topography, which served as useful analogs for mapping similar landslide-related features across the subject watershed. The documented historic events appear to validate the procedure employed here, which is intended to tentatively identify similar landslide-related features (>500 m in length). These maps are intended to serve as “guides” for more detailed analyses of specific projects sites, such as power transmission corridors, pipelines, structures, highways, tunnels, dams, and powerhouses.
References
Ahmad I, Jan MQ and Dipietro A. (2003) Age and tectonic implications of granitoid rocks from the Indian Plate of northern Pakistan in Singh S, (ed.), Granitoids of the Himalayan collisional belt: Journal of the Virtual Explorer 11: paper 01
Ahmed MF, Rogers JD (2014) Creating reliable, first-approximation landslide inventory maps, using ASTER DEM data and geomorphic indicators, an example from the upper Indus River in northern Pakistan. Environ Eng Geosci 20(1):67–83
Ahmed MF, Rogers JD, Ismail EH (2014) A regional level preliminary landslide hazard study of upper Indus River basin. Eur J Rem Sens 47:343–373
Ahmed MF, Rogers JD, Ismail HE (2015) Historic Landslide Dams along the Upper Indus River, Northern Pakistan. Nat Hazards Rev 16(3). doi:10.1061/(ASCE)NH.1527-6996.0000165
Balteanu D, Chendeş V, Sima M, Enciu P (2010) A country-wide spatial assessment of landslide susceptibility in Romania. Geomorphology 124:102–112
Brabb EE (1991) The world landslide problem. Episodes 14(1):52–61
Cardinali M, Guzzetti F, Brabb EE (1990) Preliminary map showing landslide deposits and related features in New Mexico. US Geological Survey Open File Report 90/293, 4 sheets, scale 1:500,000
Carrara M, Cardinali M, Guzzetti F (1991) Uncertainty in assessing landslide hazard and risk. ITC J 2:172–183
Cockerill GK (1902) Byways of Hunza and Nagar. Geogr J 60:98–112
Crosta GB (2001) Failure and flow development of a complex slide: the 1993 Sesa landslide. Eng Geol 59:173–199
Crozier MJ (2010) Landslide geomorphology: An argument for recognition, with examples from New Zealand. Geomorphology 120:3–15
Cruden DM, Varnes DJ (1996) Landslide types and processes. In: Turner AK, Schuster RL (eds) Landslides, investigation and mitigation, special report 247. Transportation Research Board, Washington, pp 36–75
Dikau R, Brunsden D, Schrott L, and Ibsen ML (Eds.) (1996) Landslide Recognition Identification, Movement and Causes. Wiley, Chichester
Doyle BC, Rogers JD (2005) Seismically-induced lateral spread features in the Western New Madrid Seismic zone. Env Eng Geosci XI(3):251–258
Goudie AS, Brunsden D, Collins DN, Derbyshire E, Fergu-son, RI, Hashnet Z, Jones DKC, Perrott FA, Said M,Waters RS, Whalley WB (1984) The geomorphology of the Hunza Valley, Karakoram Mountains, Pakistan. In: MillerK Ed. International Karakoram Project. Cambridge Univ. Press Cambridge pp. 33–411
Glade T (2001) Landslide hazard assessment and historical landslide data: an inseparable couple? In: Glade T, Albini P & F Frances (Hrsg.): the use of historical data in natural hazard assessments: Springer, Berlin. pp 153–167
Guzzetti F, Carrara A, Cardinali M, Reichenbach P (1999) Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 31:181–216
Guzzetti F, Reichenbach P, Ardizzone F, Cardinali M, Galli M (2006) Estimating the quality of landslide susceptibility models. Geomorphology 81:166–184
Hansen A (1984) Landslide hazard analysis. In: Slope instability, edited by: Brunsden, D, Prior DB. Wiley, New York. pp 523–602
Hart MW, Shaller JP, Farrand G (2012) When landslides are misinterpreted as faults: case studies from the Western United States. Env Eng Geosc XVIII(4):313–325
Hewitt K (1982) Natural dams and outburst floods of the Karakoram Himalaya, in Glen J ed. Hydrological aspects of Alpine and High Mountain areas. International Hydrological Association Publication 138:259–269
Hewitt K (1998) Catastrophic landslides and their effects on the Upper Indus streams, Karakoram Himalaya, northern Pakistan. Geomorphology 26:47–80
Hewitt K (2002) Styles of rock-avalanche depositional complexes conditioned by very rugged terrain, Karakoram Himalaya Pakistan in Evans SG, Degraff JV, eds. Catastrophic landslides: effects, occurrence, and mechanisms. Boulder, Colorado, Geological Society of America, Reviews in Engineering Geology XV:345–377
Hewitt K, Gosse J, Clague JJ (2011) Rock avalanches and the pace of late Quaternary development of river valleys in the Karakoram Himalaya. Geol Soc Am Bull 123(9/10):1836–1850
Hsiegh ML, Lai LSH, Lin CDJ, Shyu JBH (2012) Late Quaternary landscape evolution and genesis of the 2009 catastrophic landslide in the Hsiao-lin area, southwestern Taiwan. Geomorphology 179:225–239
Hutchinson JN (1968) Mass Movement. In: Fairbridge RW (ed) The encyclopedia of geomorphology. Reinhold Book Corp, New York, pp 688–696
Kazmi AH, Jan MQ (1997) Geology and tectonics of Pakistan, Graphic Publishers, p 554. ISBN: 9698375007
Keefer DK (1984) Landslides caused by earthquakes. Geol Soc Am Bull 95:406–421
Korup O, Montgomery DR, Hewitt K (2010) Glacier and landslide feedbacks to topographic relief in the Himalayan syntaxes. Proc Natl Acad Sci USA 107(12):5317–5322
Mason K (1914) The Indo-Russian triangulation connection, 1911–1913. Geogr J 43:664–672
McCalpin J (1984) Preliminary age classification of landslides for inventory mapping: Proceedings 21st annual engineering geology and soils engineering symposium. University Press, Moscow, pp 99–111
Negi SS (1991) Himalayan rivers, lakes, and glaciers. Indus Publishing Company New Delhi, p 182
Pike RJ (1988) The geometric signature: quantifying landslide-terrain types from digital elevation models. Math Geol 20(5):491–511
Rib HT, Liang T (1978) Recognition and identification, In: Schuster, RL, Krizek RJ (eds.), Landslide Analysis and Control. Transportation Research Board Special Report No. 176, National Academy Sciences, Washington, pp 34–80
Rogers JD (1980) Factors affecting hillslope profile: current topics in geomorphology, Berkeley UC, unpublished manuscript. UC Water Resources Center Archives Riverside CA, p 67
Rogers J, David (1998) Topographic expression of deep-seated bedrock landslide complexes. Notes accompanying evaluation and mitigation of seismic hazards, University of California Extension, Los Angeles, p 13
Rogers/Pacific Inc. (1994) Report Accompanying Map of Landslides and Other Surficial Deposits of the City of Orinda, CA. Consultant’s report for the City of Orinda Public Works Department, p 141
Rogers JD, Ahmed, MF (2013) Discussion of risk factors for triggering of rockslide avalanche dams in Pakistan, Afghanistan, and Tajikistan and mitigation strategies. In: Proceedings 47th US Rock Mechanics/Geomechanics Symposium, American Rock Mechanics Association, Paper 13–591, San Francisco CA
Searle MP (1991) Geology and tectonics of the Karakoram Mountains. New York, John Wiley 5:231–236
Shroder JF Jr, Bishop MP (1998) Mass movement in the Himalaya: new insights and research directions. Geomorphology 26:13–35
Tachikawa T, Kaku MA, Iwasaki A (2009) ASTER GDEM validation. Presentation at the 35th ASTER Science Team Meeting, Kyoto, Japan
Tachikawa T, Kaku M, Iwasaki A, Gesch D. Oimoen M, Zhang Z, Danielson J, Krieger T, Curtis B, Haase J, Abrams M, Crippen R, and Carabajal C (2011) ASTER Global Digital Elevation Model Version 2-Summary of Validation Results. Report to the ASTER GDEM Validation Team, Tokyo, Japan, pp 15–24
Terzaghi K (1950) Mechanism of Landslides. In: Paige S, Ed. application of geology to engineering practice (Berkey Volume). The Geological Society of America, pp 83–123
Van Den Eeckhaut M, Moeyersons J, Nyssen J, Abraha A, Poesen J, Haile M, Deckers J (2009) Spatial patterns of old, deep-seated landslides: a case-study in the northern Ethiopian highlands. Geomorphology 105:239–252
Van Den Eeckhaut M, Poesen J, Gullentops F, Vandekerckhove L, Hervas J (2011) Regional mapping and characterization of old landslides in hilly regions using LiDAR-based imagery in Southern Flanders. Quatern Res 75:721–733
Varnes DJ (1978) Slope movement types and processes, in Schuster RL, and Krizek RJ, eds Landslides: Analysis and control. National Research Council, Washington, DC, Transportation Research Board, National Academy Press, Special Report 176:11–33
Varnes DJ (1984) Landslide hazard zonation: a review of principles and practice. Commission of Landslides of the IAEG UNESCO, Natural Hazards No. 3, p 61
Whittow J (1984) Dictionary of physical geography. London: Penguin, p 275
WP/WLI (International Geotechnical Societies UNESCO Working Party for World Landslide Inventory) (1993) The Multilingual Landslide Glossary. Bi-Tech Publishers, Richmond, British Columbia Canada, p 59
Acknowledgments
The authors are thankful to the Natural Hazards Mitigation Institute at the Missouri University of Science and Technology, Rolla, MO, USA, for their support of this study. This research was funded by a scholarship grant from the University of Engineering and Technology, Lahore, Pakistan.
Author information
Authors and Affiliations
Corresponding author
Additional information
M. F. Ahmed: on leave from the University of Engineering and Technology Lahore, Pakistan.
Rights and permissions
About this article
Cite this article
Farooq Ahmed, M., David Rogers, J. Regional level landslide inventory maps of the Shyok River watershed, Northern Pakistan. Bull Eng Geol Environ 75, 563–574 (2016). https://doi.org/10.1007/s10064-015-0773-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10064-015-0773-2