KETELITIAN ELEVASI DATA LIDAR HASIL KOREKSI ANTAR JALUR TERBANG SECARA AUTOMATIS DAN MANUAL

LiDAR is a mapping technology which has advantage in term of effectivity, accuration, and economic value of acquisition and processing data. The accuration of LiDAR data can be affected by object reflectivity, flight altitude, and the post processing of LiDAR data itself which is formed as point cloud. LiDAR needs aeroplane to acquire the data. The aeroplane is not always be able to maintain its position, heading and velocity constantly during data recording. The error affected by the aeroplane will be eliminated through LiDAR data post processing. The purpose of this research is to analyze the elevation accuration as the result of LiDAR data post processing. The area of the research is LiDAR data taken in the flight line that across along from Kyai Mojo street, Yogyakarta to Kalibawang, Kulonprogo which the length is aproximately ±20 km. The material used in this research are orthophoto image, point cloud, which has .las extension file and never been processed before, four GCP points which is measured by GNSS receiver and 214 tested point which is measured by Total Station. To get the elevation value of the LiDAR�s point cloud, interpolation process is needed, it is due to the tested points between point clouds and Total Station point are not exactly the same. To obtain the RMSE elevation value, the data was filtered by global test which has a range -3� < (�-μ) < 3�. The point cloud elevation�s accuracy as the result of automatic correction in GCP 1 is 0.010 m, GCP 2 is 0.175 m, GCP 3 is 0.068 m, and 0.121 m for GCP 4. The point cloud elevation�s accuration as the result of manual correction in GCP 1 is 0.186 m, GCP 2 is 0.071 m, GCP 3 is 0.521 m, and 0.132 m for GCP 4. overall, point cloud that were automatically corrected has a better accuracy than those that manually corrected