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Grohmann, Carlos H. (2016)
Publisher: Copernicus Publications
Languages: English
Types: Article
Subjects: TA1-2040, T, TA1501-1820, Applied optics. Photonics, Engineering (General). Civil engineering (General), Technology
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.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • This study was supported by CNPq (306294/2012-5, 307647/2015- 3) and FAPESP (2009/17675-5 , 2016/03188-9) research grants to CHG and is co-funded by two collaborative Dimensions of Biodiversity-BIOTA grants supported by FAPESP (2012/50260- 6, 2013/50297-0), NSF (DEB 1241066, DEB 1343578)), and NASA. I want to thank Dean Gesch for the fruitful discussions on the subject and the anonymous reviewers for their criticism and suggestions, which helped to improve this paper.
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