Vertical Accuracy Comparison of Digital Elevation Model From Lidar and Multitemporal Satellite Imagery

Abstract

ABSTRACT:Digital elevation model serves to illustrate the appearance of the earth's surface. DEM can be produced from a wide variety of data sources including from radar data, LiDAR data, and stereo satellite imagery. Making the LiDAR DEM conducted using point cloud data from LiDAR sensor. Making a DEM from stereo satellite imagery can be done using same temporal or multitemporal stereo satellite imagery. How much the accuracy of DEM generated from multitemporal stereo stellite imagery and LiDAR data is not known with certainty. The study was conducted using LiDAR DEM data and multitemporal stereo satellite imagery DEM. Multitemporal stereo satellite imagery generated semi-automatically by using 3 scene stereo satellite imagery with acquisition 2013-2014. The high value given each of DEM serve as the basis for calculating high accuracy DEM respectively. The results showed the high value differences in the fraction of the meter between LiDAR DEM and multitemporal stereo satellite imagery DEM.

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“…Elevation measurements by the methods discussed above have a horizontal error defined by the accuracy of the horizontal coordinates, and a vertical accuracy defined as the linear error of the datasets coordinate (Octariady et al, 2017). The vertical accuracy of DEMs produced from LiDAR data have been found to be better than that of DEMs from satellite imagery, with vertical accuracy achievable to less than 30 cm in LiDAR DEMs with varying horizontal accuracy (Octariady et al, 2017). To reach these levels of accuracy, ground-filtering algorithms are applied to determine point returns from ground and non-ground features (Meng et al, 2010).…”