Accuracy Assessment of DEMs Using Modern Geoinformatic Methods

, and . Geoinformatica - An International Journal (GIIJ), 6 (2): 13 - 22 (April 2019)


Digital Elevation Models (DEMs), which can come in the form of digital surface models or digital terrain models, are key tools in land analyses and other purposes. Classical methods such as field surveying and photogrammetry can yield high-accuracy terrain data, but they are time consuming and labor-intensive. Nowadays, different modernistic height-finding methods have emerged, including Global Positioning System (GPS) and airborne methods. In contrast to the airborne ways that are suited to gain highly precise, fine-resolution DEMs at a local scale. The airborne ways are complementary to their space-borne matches, such as Light Detection and Ranging (LiDAR), Shuttle Radar Topography Mission (SRTM), Advanced Spaceborne Thermal Emission and Reflection Radiometer- Global Digital Elevation Model (ASTER GDEM) and Advanced Land Observing Satellite (ALOS). LiDAR data acquisition has become the standard approach for collecting point data to interpolate high-resolution ground and aboveground surface. In this study, we assessed elevation accuracy of three modern geoinformatic methods (STRM, ASTER GDEM and ALOS); by comparing standard deviations of elevation differences for these methods versus more than 6,000,000 points from LiDAR. From case study results, standard deviations of elevation differences between LiDAR points vs ASTER DEM equal 9.09 m, LiDAR points vs STRM DEM equal 5.28 m and LiDAR point's vs ALOS DEM equal 2.08 m, based on these results, ALOS DEM shows a good agreement with LiDAR data.

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