Accuracy assessment of SRTM v4 and ASTER GDEM v2 over the Altiplano watershed using ICESat/GLAS data

F. Satgé, M. P. Bonnet, F. Timouk, S. Calmant, R. Pillco, J. Molina, W. Lavado-Casimiro, A. Arsen, J. F. Crétaux, J. Garnier

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81 Scopus citations


The new Global Digital Elevation Model (GDEM v2) has been available since 17 October 2011. With a resolution of approximately 30 m, this model should provide more accurate information than the latest version of Shuttle Radar Topographic Mission (SRTM v4) with a resolution of 90 m outside of the USA. The accuracies of these two recently released digital elevation models (DEMs) were assessed over the Altiplano watershed in South America using ICESat/GLAS data (Ice, Cloud and Land Elevation Satellite/Geoscience Laser Altimeter System). On the global scale, GDEM v2 is more accurate than SRTM v4, which presents a negative bias of approximately 8.8 m. Strong correlations between the DEMs’ accuracies and mean slope values occurred. Regarding land cover, SRTM v4 could be more accurate or easier to correct on a smaller scale than GDEM v2. Finally, a merged and corrected DEM that considers all of these observations was built to provide more accurate information for this region. The new model featured lower absolute mean errors, standard deviations, and root mean square errors relative to SRTM v4 or GDEM v2.

Original languageEnglish
Pages (from-to)465-488
Number of pages24
JournalInternational Journal of Remote Sensing
Issue number2
StatePublished - 17 Jan 2015

Bibliographical note

Funding Information:
This work was supported by the Centre National d’Etudes Spatiales (CNES) in the framework of the HASM project (Hydrology of Altiplano: from Spatial to Modeling). The work presented here is based on observations with the GLAS instrument aboard the ICESat mission. The first author is grateful to the IRD (Institut de Recherche pour le Développement) and the CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) Brazil for their financial support. Note that the three DEMs (SRTM v4, GDEM v2 and MERGE) are freely available to the scientific community upon request.

Publisher Copyright:
© 2015, Taylor & Francis.


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