Root Mean Square Error (RMSE) in X, Y, and z is computed as 1.7 cm, 2.27 cm, and 2.31 cm respectively. The quality report depicts the mean of geolocation accuracy in X, Y, and z as 2.73 cm, 2.73 cm, and 3.46 cm respectively, which is practically highly accurate. The comparison of ICESat-1 elevation data with DEM depicts a difference of about 26 cm on plain ground, which is reasonably good considering the use of a Global Navigation Satellite System (GNSS) network in Real-Time KinematicReal-Time Kinematic (RTK) mode. The datasets are processed in Pix4D software for the bundle block adjustment, followed by the generation of DEM and orthomosaic. The openly accessible dataset from the Sensefly Sensor Optimized for Drone Applications (S.O.D.A.) includes 235 true-color RGB images acquired from a flight height of 106 m, at an average Ground Sampling Distance (GSD) of 2.64 cm. The experimental site is part of Yverdon-Les-Bains, which is a municipality in the district of Jura-Nord VauDOIs, canton of Vaud, Switzerland. In the present study, the space-borne lidar elevation datasets from the Ice, Clouds, and Land Elevation Satellite (ICESat-1) and TanDEM-X 90 m DEM from TerraSAR-X add-on for Digital Elevation Measurement (TanDEM-X) mission are utilized for the comparison of elevation values from DEM generated using UAV datasets for the experimental site in Switzerland. A high-fidelity digital elevation model (DEM) can be prepared using these UAV datasets, which can produce high-quality orthoimages. The availability of Very High-Resolution (VHR) remote sensing datasets from the Unmanned Aerial Vehicle (UAV) based sensors are changing the methods of cartographic mapping as well as visualization by taking advantage of both the high spatial resolution as well as high radiometric resolutions.
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