Throughout the mountainous part of Pakistan, Murree is considered to host the worst slide affected areas [1] . The available literature and data, together with the field observations, show that many factors known to cause landslides are present in Murree. These include young and immature geology with highly erodible soils and rocks, steep and irregular slopes, abundant and seasonally intense monsoon rainfall, active freeze and thaw, evidence of the older landslides, and all extensive human activities, including deforestation, quarrying, building and road construction [2] . Some Physiographic characteristics including slope, aspect, drainage, geological character relative relief, landuse and land cover play a major role in deciding the potential sites for slope failure. Such analysis is a complex task involving numerous factors affecting slope failure and requires inclusion of several parameters and analytical techniques [3] -[15] .

In contrast to the conventional methods of geological fieldwork which is time consuming, expensive and complex logistics, Geomatics techniques offer efficient, faster and low cost applications to supplement the preliminary geologic and geomorphologic investigations. Data collection, analysis and interpretation have been often proved to be difficult, by using conventional field survey only; furthermore in previous studies, geological and geomorphological mapping required long time and considerable costs, for being carried out at a large scale [16] . In this paper geomatics techniques have been applied on digital data such as satellite image and digital elevation model integrated with survey data, to investigate the possible factors of slope failure for different landsliding sites. False color composites of Landsat TM image and different DEM derivatives of ASTER DEM have been used for this study.

In Murree area, the hill slopes are moderately steep and vary from 16 to 40 degree. An increase in slope steepness leads to a decrease in the shear strength of the material that triggers landslides. Also in those areas where the slopes are steep specifically along the streams, roads and disturbed slopes, the problem of land sliding is a recurrent phenomenon. Rainfall is the major factor responsible for most of the landslides in the Murree area. Therefore in the study area, rainfall is considered to be the most important causative factor for a landslide problem [1] .

Lithology is considered as primary driving force for slope failure in all over the world. Clear cut landslide frequency is related to surficial material, bedrock lithology, horizontal slope curvature, soil type, slope angle, slope position and slope morphology [1] [17] .

The following major causes of slope failure have been identified and listed as:

・ Geological conditions including material nature (soil/rock) and discontinuities.

・ Surface and subsurface ground water conditions.

・ Climatic and Environmental changes.

・ Seismic disturbance including Earthquake, vibration and trigger action.

・ Effects of deforestation and forestation [18] .

Murree is a hill station, summer resort and the administrative center of Murree Tehsil, which is a subdivision of Rawalpindi District (Figure 1) and includes the Murree Hills. Murree lies 50 kilometers northeast of Pakistan’s capital Islamabad at a comfortable altitude of 7500 feet (2286 meters) in the Himalayan foothills at 33˚54'30" North latitude and 73˚26' East longitude, http://murreehill.com.

Murree, lovingly called “the Queen of the hills”, lies in the sub-Himalayan mountain region [1] [19] . Murree is one of the most developed hill stations in the country characterized by the assets of pine forest, parks, restaurants, chair lifts, cable cars and hiking tracks [20] . A total of about 1880 ha of the land is under various uses, out of which 70% is tree cover, 7% agricultural use, 6% allocated for defense purpose and the rest for commercial, civic and residential uses [1] [19] . The study area is located along Murree-Kohala-Muzaffarabad Road and extends from Murree to Kohala. The area covers survey of Pakistan Topographic sheet No. 43 G/5, 43 G/9, 43 F/12.

As the survey data contains information about land sliding sites in the study area, it spatially describes the position and orientation of unstable land sliding zones and potentially unstable land sliding zones. This data was collected by conducting field survey physically. The technical description and possible causes of these land sliding sites have been discussed here using Landsat TM image and ASTER DEM. Satellite image has been used for the general assessment of study area using false color composites (FCC) and to observe the presence and status of vegetation on a particular site, as Landsat TM band 4 is much suitable for vegetation discrimination from other landcover features.

Different DEM derivatives such as stream order map, slope map, aspect map and colored DEM have been prepared and used for technical description of different land sliding sites. From survey map land sliding unstable zones and potentially unstable zones have been digitized in separate shapefiles. These shapefiles have been overlaid over the satellite image, DEM, aspect map, slope map and stream orders map in ArcGIS. Slope and Aspect maps has been prepared using “Raster surface” tools, present in 3D Analyst module of Arc Map. Streams order map has been prepared using “Hydrology” module present in Spatial Analyst Tools of Arc Map.

Integration of survey data with image analysis and DEM analysis in ArcGIS environment provided the capability to assess the possible reasons of different land sliding sites. Careful observations have been taken by considering all these layers at a time. There are 20 unstable zones and 20 potentially unstable zones, which are shown in Table 2 and Table 3 respectively. Unstable zones have been tagged serial number from U1 to U20, and potentially unstable zones have been tagged from P1 to P20. Observations and description of every zone have been described separately.

Some possible factors have been addressed that are responsible to cause landslides. Streams order layer contains information about the number of water channels passing through study area. Higher the stream order, larger will be water channel. More the number of streams pass through an area and higher the order of streams passing through a zone the area will be more unstable and likely to slide. Sometime small order but large number of streams pass through a particular zone, this excess of water flow is responsible for slope failure.

Presence of vegetation is the sign of stability. Landsat image have been used to highlight the presence of vegetation and its status. Some zone aspects lie in such direction that vegetation cannot sustain on that area so absence of vegetation is also the cause of unstability. Some zones carry small order streams but their slope angle is so much higher that slope gradient can cause the land to slide. Some zones have few of these slope controlling

factors, so these areas have the potential to landsliding, and can slide any time when conditions fulfilled. Some zones contain all the causes of slope failure so these are most unstable zones.

It is concluded that Geomatics techniques can be very useful for landslide studies. Applying Geomatics techniques on digital data integrated with survey data can be used very effectively for landslide hazard zone mapping at medium scale. Also some possible factors can be addressed that are responsible to cause landslides. It has been found that some major causes of slope failure have been addressed using satellite imagery and digital elevation data integrated with survey data, also it has been noted that the larger the number of streams passing through an area and the higher the order of stream passing through a zone, the area will be more unstable, so water is the most dominant factor to cause land sliding in Murree area. Also some zones aspect lies in such direction that vegetation cannot sustain on that area so absence of vegetation is also the cause of unstability. Some zones carry small order streams but their slope angle is so much higher that causes the land to slide. Accuracy of mapping and prediction can be increased by using high resolution data and real time survey data.

Zia UlMustafa,Sajid RashidAhmad,MuhammadLuqman,UsmanAhmad,SamiullahKhan,MuhammadNawaz,AsifJaved, (2015) Investigating Factors of Slope Failure for Different Landsliding Sites in Murree Area, Using Geomatics Techniques. Journal of Geoscience and Environment Protection,03,39-45. doi: 10.4236/gep.2015.38004