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COMPARATIVE ANALYSIS OF GLOBAL DIGITAL ELEVATION MODELS AND ULTRA-PROMINENT MOUNTAIN PEAKS
Copyright policy )Abstract. Global Digital Elevation Models (GDEMs) are datasets of vital importance for regional-scale analysis in areas such as geomorphology, [paleo]climatology, oceanography and biodiversity. In this work I present a comparative assessment of the datasets ETOPO1 (1’ resolution), GTOPO30, GLOBE, SRTM30 PLUS, GMTED2010 and ACE2 (30”) against the altitude of the world’s ultra prominent peaks. GDEMs’ elevations show an expected tendency of underestimating the peak’s altitude, but differences reach 3,500 m. None of the GDEMs captures the full range of elevation on Earth and they do not represent well the altitude of the most prominent peaks. Some of these problems could be addressed with the release of NASADEM, but the smoothing effect caused by moving-window resampling can only be tackled by using new techniques, such as scale-adaptative kernels and curvature-based terrain generalisation.
Library of Congress Subject Headings: lcsh:Technology lcsh:T lcsh:Engineering (General). Civil engineering (General) lcsh:TA1-2040 lcsh:Applied optics. Photonics lcsh:TA1501-1820
Microsoft Academic Graph classification: Geology Elevation Terrain Altitude GTOPO30 Smoothing Shuttle Radar Topography Mission Topographic prominence Climatology Meteorology Digital elevation model
Library of Congress Subject Headings: lcsh:Technology lcsh:T lcsh:Engineering (General). Civil engineering (General) lcsh:TA1-2040 lcsh:Applied optics. Photonics lcsh:TA1501-1820
Microsoft Academic Graph classification: Geology Elevation Terrain Altitude GTOPO30 Smoothing Shuttle Radar Topography Mission Topographic prominence Climatology Meteorology Digital elevation model
- American Museum of Natural History United States
- CUNY City College United States
5616
Amante, C. and Eakins, B. W., 2009. ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis. Technical report, NOAA Technical Memorandum NESDIS NGDC-24. 19 pp.
Arabelos, D., 2000. Intercomparisons of the global DTMs ETOPO5, TerrainBase and JGP95E. Physics and Chemistry of the Earth, Part A: Solid Earth and Geodesy 25(1), pp. 89 - 93. [OpenAIRE]
Bamber, J., 2001. Greenland 5 km DEM, Ice Thickness, and Bedrock Elevation Grids. [OpenAIRE]
Becker, J. J., Sandwell, D. T., Smith, W. H. F., Braud, J., Binder, B., Depner, J., Fabre, D., Factor, J., Ingalls, S., Kim, S.-H., Ladner, R., Marks, K., Nelson, S., Pharaoh, A., Trimmer, R., Von Rosenberg, J., Wallace, G. and Weatherall, P., 2009. Global Bathymetry and Elevation Data at 30 Arc Seconds Resolution: SRTM30 PLUS. Marine Geodesy 32(4), pp. 355- 371.
Berry, P. A. M., 1999. Global digital elevation models fact or fiction? Astronomy & Geophysics 40(3), pp. 3.10-3.13.
Berry, P. A. M., Hilton, R., Johnson, C. P. D. and Pinnock, R. A., 2000. ACE: a new GDEM incorporating satellite altimeter derived heights. In: ERS-Envisat Symposium, Vol. SP-461, ESA, Gothenburg, Sweden.
Berry, P. A. M., Smith, R. and Benveniste, J., 2008. ACE2: the new global digital elevation model. In: IAG International Symposium on Gravity, Geoid & Earth Observation, IAG, Chania, Crete.
Berry, P., Garlick, J. and Smith, R., 2007. Near-global validation of the SRTM DEM using satellite radar altimetry. Remote Sensing of Environment 106(1), pp. 17 - 27.
Berthier, E., Arnaud, Y., Vincent, C. and Re´my, F., 2006. Biases of SRTM in high-mountain areas: Implications for the monitoring of glacier volume changes. Geophysical Research Letters 33(8), pp. L08502.
Carter, J. R., 1992. The Effect Of Data Precision On The Calculation Of Slope And Aspect Using Gridded Dems. Cartographica: The International Journal for Geographic Information and Geovisualization 29, pp. 22-34.
- National Science Foundation (NSF)
- 1343578
- Directorate for Biological Sciences | Division of Environmental Biology
- National Science Foundation (NSF)
- 1241066
- Directorate for Biological Sciences | Division of Environmental Biology
- American Museum of Natural History United States
- CUNY City College United States
Abstract. Global Digital Elevation Models (GDEMs) are datasets of vital importance for regional-scale analysis in areas such as geomorphology, [paleo]climatology, oceanography and biodiversity. In this work I present a comparative assessment of the datasets ETOPO1 (1’ resolution), GTOPO30, GLOBE, SRTM30 PLUS, GMTED2010 and ACE2 (30”) against the altitude of the world’s ultra prominent peaks. GDEMs’ elevations show an expected tendency of underestimating the peak’s altitude, but differences reach 3,500 m. None of the GDEMs captures the full range of elevation on Earth and they do not represent well the altitude of the most prominent peaks. Some of these problems could be addressed with the release of NASADEM, but the smoothing effect caused by moving-window resampling can only be tackled by using new techniques, such as scale-adaptative kernels and curvature-based terrain generalisation.