İl, Hatice Tuba ArlıAbbak, Ramazan Alpay2020-03-262020-03-2620179786197105001; 9786197105988; 9786197105995; 9786197408003; 9786197408010; 9786197408027; 9786197408034; 9786197408041; 9786197408058; 9786197408065; 9786197408072; 9786197408089; 9786197408096; 9786197408102; 9786197408119; 9786197408126; 9786197408133; 97861974082631314-2704https://dx.doi.org/10.5593/sgem2017/22/S09.005https://hdl.handle.net/20.500.12395/3573517th International Multidisciplinary Scientific GeoConference, SGEM 2017 -- 29 June 2017 through 5 July 2017 -- 130787Digital Elevation Model (DEM) describes the physical and topographic information of earth’s surface. Today, DEM produced by different methods is successfully utilized in many geospatial applications such as gravimetric geoid determination in geodesy, morphology analysis in geology, topographic map production in cartography etc. As known, every year, the new satellites are launched to space and provide the most current information about the earth’s surface with different working principles and different image taking configurations and offer this information to end users from large variety disciplines. SRTM (Shuttle Radar Topography Mission) and ASTER (Advanced Space-based Thermal Emission and Reflection Radiometer) are among these methods. ASTER has high resolution and superimposed image with Terra platform. SRTM aims to create a high resolution DEM of 80% of the Earth surface from radar images taken by Space Shuttle Endeavour. In this study, SRTM and ASTER DEM at one-arc second resolution are compared with local heights obtained from GPS-levelling data and accuracies of both DEMs are investigated in the territory of Turkey. The numerical results show that SRTM DEM gives better statics than ASTER DEM with respect to the local height data. © SGEM 2017. All Rights Reserved.en10.5593/sgem2017/22/S09.005info:eu-repo/semantics/closedAccessASTERDigital Elevation ModelGPS-Levelling dataSRTMValidationAccuracy assessment of aster and SRTM digital elevation models: A case study in TurkeyConference Object17223542N/A