| Summary: Air laser scanning technology (LiDAR), which is used to measure the distance of an object or surface using laser pulses, has gained great importance in terms of discipline in map engineering. Different software and programming languages such as Lastools, FugroViewer and Matlab are used to obtain the desired results from the three-dimensional (3D) point cloud obtained by this technology or to automatically extract objects that can be evaluated as a map product. In this study, Kestel Dam, which is located on the Kestel Stream in the vicinity of Bergama county, Izmir, is intended to be extracted using two different LiDAR sensor generated air LiDAR containing the same area of the reservoir borders. Since the 3D point cloud data is in a very dense volume and requires high configuration at the processing point, the data density is reduced by the LiDAR data, ie the point cloud, by first extracting the working area Kestel Dam region from other points. The dam reservoir area and its boundaries were automatically extracted from the point cloud with two different sensors including the dam area by software produced in the Matlab programming language environment. Thus, as of the date of the production of the LiDAR data, the dam reservoir area boundaries have been obtained, which are compared with the Kestel Dam reservoir area reference datum, which is derived from the current map of the area produced near the time of obtaining the LiDAR data. This comparison with ArcGIS software found that the limit of the dam reservoir generated from the LiDAR data exceeded the boundaries of the reference map (from the current map) in large amounts (between %95 and %99). Using this data, it is shown that water-enclosed boundaries such as dam reservoir area can be automatically extracted quickly and reliably with high accuracy, and also high accuracy planimetric map information can be obtained from LiDAR data.
Key Words: LiDAR, Dam Boundary Inference, MATLAB, ArcGIS |
