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COMPARISON OF DIFFERENT DEM DERIVED LANDFORM ANALYSIS (CASE OF KAKHETI, GEORGIA)
Abstract
Topography plays an unraveled role in many biophysical processes and phenomena. The main problem, however, is that measurement, representation, and characterization of such a vast and continuous feature are very challenging. The accuracy of Digital Elevation Models (DEMs) has a direct influence on the results of the further landform analysis. In this paper, we use existing approaches of landform analysis with the use of global DEMs in the large-scale regional study. A detailed comparison was made between landforms derived from SRTM 1 Arc-Second (30 m) and ASTER GDEM v3 (30 m) to quantitively and qualitatively assess their accuracy over the Kakheti Region, Georgia which is characterized by the complex terrain and then to compare it with a reference model derived from laser scanning (LiDAR-5m). The approach was based on landform analysis developed by Weiss and updated by Jenness for the GIS interface. The landform analysis process involves combining primary terrain attributes (slope, aspect, curvature, topographic wetness index) to secondary attributes (Topographic Position Index). 10 different landforms were derived from each DEM. Approximately 400 ground control points (GCPs) were used for comparison. The results demonstrated that SRTM DEM is characterized by better elevation accuracy. According to the percentage metric of landform analysis, SRTM DEM has better results especially in the case of plains. Only a few areas especially mountain tops and high ridges where ASTER GDEM V3 had a small advantage. We have demonstrated that this comparison is one among wide research results which can be an answer for which DEM is more suitable for landform analysis.
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References12
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