Digital Elevation Model Generation and Its Application In Landslide Studies Using Cartosat-1

This study investigates and demonstrates the state of Remote sensing techniques for detailed landslide hazard assessment applicable to large areas. Since the most common methods of landslide susceptibility assessment using weighted overlay are heavily dependent on 3 dimentional terrain visualization and analysis stereo satellite image fromthe CARTOSAT-1 high resolution imagery are used for this study. However, if the DEM is accurate and detailed enough to show minor change in terrain height. CARTOSAT-1 stereo images are usually provided with the (RPC) which represent the relationship between the images and object space. Digital photogrammetric and GIS (Geographic information system) widely used in terrain mapping purpose. Increased the demand of maps in various sectors such resource management, engineering sectors inplanning and developmental purpose.

The advantage of DEM generation is a very useful for height information. The availability of high resolution satellite imagery, such as CARTOSAT-1 has opened new possibilities for terrain parameter evaluation. Indian Remote Sensing Satellites CARTOSAT-1 carry PAN camera, providing high resolution (2.5 m) Stereo imagery of the earth's surface. DEM generated from stereo data has been validated using ground control points (GCPs) with reference DEM. which is used for evaluating the terrain parameters such as elevation, slope, contour, drainage pattern, and thematic maps of geology and geomorphology lineament land use and soil map. These parameters are required as input to applications such as landslide susceptibility analysis.

The spatial relationship between landslide occurrence and factors influencing landslides are assessed. Finally, Landslide susceptibility map will provide guidelines to assess the spatial distribution of potential landslide by identified landslide prone area and validate previous landslide location. This landslide susceptibility information should provide have useful new tool for studyand evaluationof landslide occurrence.