This paper presents the preliminary results of a simulation study on the production of low cost Digital Elevation Model (DEM) for a landslide study area in Seri Iskandar, Perak. The important objective of this paper is to present the potentiality of Close Range Photogrammetry (CRP) as a data acquisition tool in producing a Digital Elevation Model (DEM) by using data from surface measurement. This method was applied using stereopair photographs captured data from ground level detection, or known as close range photogrammetry with the use of a digital camera mounted on a tripod as a tool for data collection. Close Range Photogrammetry (CRP) applications is useful for mapping of areas that are difficult and risky to point manpower on terrain that consist of steep and dangerous slopes. Conventional methods require measurement using Electronic Distance Measuring (EDM), but this method is very costly and requires a survey team placed on the land site area. The research data were carried out with two different epoch data. The outcome proves that CRP can produce DEM with less cost compared to other methods.

There are various methods that had been implemented by many researchers in the previous studies regarding to the monitoring of landslides. At present, is it possible to predict the location of potential landslide occurrence. However, there limitations and constraints in methods that are being implemented and consequently better methods are necessary to improve the monitoring of landslides. Most of the methods discussed cannot be implemented in areas that are inaccessible and dangerous taking as example steep slopes nearby a highway. In addition, monitoring of slopes using existing methods require extensive manpower in the study area, the period of time to obtain complete information is quite long and the total budget is high. Therefore, in order to effectively address the concerns mentioned above, this research study proposes a novel method of monitoring landslides by Close Range Photogrammetry (CRP) as a platform for collecting data especially in areas that are not accessible. Finally, the slope profile depicting soil displacement and physical changes is extracted and analyzed using the DEM covering the potential landslide area. The information is obtained through accurate assessment and used to create a 3D model which would be used for monitoring technique applications. The landslide can be detected by calculation of two different epoch data achieved from Digital Elevation Model (DEM) generation. The paper focuses on observations of the studied area based on DEM area and volume generated from 3D surface analysis.