Articles | Volume 5, issue 2
https://doi.org/10.5194/esurf-5-211-2017
https://doi.org/10.5194/esurf-5-211-2017
Research article
 | 
13 Apr 2017
Research article |  | 13 Apr 2017

Validation of digital elevation models (DEMs) and comparison of geomorphic metrics on the southern Central Andean Plateau

Benjamin Purinton and Bodo Bookhagen

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Cited articles

Akaike, H.: A New Look at the Statistical Model Identification, IEEE Trans. Autom. Control, 19, 716–723, https://doi.org/10.1109/TAC.1974.1100705, 1974.
Albani, M., Klinkenberg, B., Andison, D. W., and Kimmins, J. P.: The choice of window size in approximating topographic surfaces from Digital Elevation Models, Int. J. Geogr. Inf. Sci., 18, 577–593, 2004.
Allmendinger, R. W., Jordan, T. E., Kay, S. M., and Isacks, B. L.: The Evolution of the Altiplano-Puna Plateau of the Central Andes, Annu. Rev. Earth Pl. Sc., 25, 139–174, 1997.
Arrell, K., Wise, S., Wood, J., and Donoghue, D.: Spectral filtering as a method of visualising and removing striped artefacts in digital elevation data, Earth Surf. Proc. Land., 33, 943–961, 2008.
Athmania, D. and Achour, H.: External Validation of the ASTER GDEM2, GMTED2010 and CGIAR-CSI- SRTM v4.1 Free Access Digital Elevation Models (DEMs) in Tunisia and Algeria, Remote Sensing, 6, 4600–4620, 2014.
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Short summary
We evaluate the 12 m TanDEM-X DEM for geomorphometry and compare elevation accuracy (using over 300 000 dGPS measurements) and geomorphic metrics (e.g., slope and curvature) to other modern satellite-derived DEMs. The optically generated 5 m ALOS World 3D is less useful due to high-frequency noise. Despite improvements in radar-derived satellite DEMs, which are useful for elevation differencing and catchment analysis, lidar data are still necessary for fine-scale analysis of hillslope processes.