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VALIDATION OF THE ASTER GLOBAL DIGITAL ELEVATION MODEL VERSION 2 OVER THE CONTERMINOUS UNITED STATES
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Abstract. The ASTER Global Digital Elevation Model Version 2 (GDEM v2) was evaluated over the conterminous United States in a manner similar to the validation conducted for the original GDEM Version 1 (v1) in 2009. The absolute vertical accuracy of GDEM v2 was calculated by comparison with more than 18,000 independent reference geodetic ground control points from the National Geodetic Survey. The root mean square error (RMSE) measured for GDEM v2 is 8.68 meters. This compares with the RMSE of 9.34 meters for GDEM v1. Another important descriptor of vertical accuracy is the mean error, or bias, which indicates if a DEM has an overall vertical offset from true ground level. The GDEM v2 mean error of –0.20 meters is a significant improvement over the GDEM v1 mean error of –3.69 meters. The absolute vertical accuracy assessment results, both mean error and RMSE, were segmented by land cover to examine the effects of cover types on measured errors. The GDEM v2 mean errors by land cover class verify that the presence of aboveground features (tree canopies and built structures) cause a positive elevation bias, as would be expected for an imaging system like ASTER. In open ground classes (little or no vegetation with significant aboveground height), GDEM v2 exhibits a negative bias on the order of 1 meter. GDEM v2 was also evaluated by differencing with the Shuttle Radar Topography Mission (SRTM) dataset. In many forested areas, GDEM v2 has elevations that are higher in the canopy than SRTM.
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“Previous studies reported an overall negative bias for ASTER GDEM 2 with respect to GCPs (Hirt, Filmer, and Featherstone 2010;Gesch et al. 2012;Alidoost and Samadzadegan 2013;Li et al. 2013Li et al. , 2016;;Athmania and Achour 2014;Jain et al. 2017).”
From Vertical accuracy evaluation of freely available latest high-resolution (30 m) global digital elevation models over Cameroon (Central Africa) with GPS/leveling ground control points. (2019) · cites this paper as Gesch et al. 2012
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- REFERENCES Abrams, M., Bailey, B., Tsu, H., and Hato, M., 2010. The ASTER global DEM. Photogrammetric Engineering and Remote Sensing, 76(4), pp. 344-348.
- Carabajal, C.C., and Harding, D.J., 2006. SRTM C-band and ICESat laser altimetry elevation comparisons as a function of tree cover and relief. Photogrammetric Engineering & Remote Sensing, 72(3), pp. 287-298.
- Farr, T.G., Rosen, P.A., Caro, E.; Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S., Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., and Alsdorf, D., 2007. The Shuttle Radar Topography Mission. Reviews of Geophysics, 45(RG2004), doi:10.1029/2005RG000183. · DOI · Paper page
- Fry, J.A., Xian, G., Jin, S., Dewitz, J.A., Homer, C.G., Yang, L., Barnes, C.A., Herold, N.D., and Wickham, J.D., 2011. Completion of the 2006 National Land Cover Database for the conterminous United States. Photogrammetric Engineering and Remote Sensing, 77(9), pp. 858-864.
- Gesch, D.B., 2007. The National Elevation Dataset. In: Maune, D., ed., Digital Elevation Model Technologies and Applications: The DEM Users Manual, 2 nd Edition. American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland, pp. 99-118.
- Hofton, M., Dubayah, R., Blair, J.B., and Rabine, D., 2006. Validation of SRTM elevations over vegetated and non- vegetated terrain using medium footprint lidar. Photogrammetric Engineering & Remote Sensing, 72(3), pp. 279-285.
- Hvidegaard, S.M., Soørensen, L.S., and Forsberg, R., 2012. ASTER GDEM validation using LiDAR data over coastal regions of Greenland. Remote Sensing Letters, 3(1), pp. 85-91.
- Maune, D.F., Maitra, J.B., and McKay, E.J., 2007. Accuracy standards & guidelines. In: Maune, D. (ed.), Digital Elevation Model Technologies and Applications: The DEM Users Manual, 2 nd Edition. American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland, pp. 65-97.
- Miliaresis, G.Ch., and Paraschou, C.V.E., 2011. An evaluation of the accuracy of the ASTER GDEM and the role of stack International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B4, 2012 XXII ISPRS Congress, 25 August -01 September 2012, Melbourne, Australia number: A case study of Nisiros Island, Greece. Remote Sensing Letters, 2(2), pp. 127-135.
- National Geodetic Survey, 2010. Proceedings of the 2010 Federal Geospatial Summit on Improving the National Spatial Reference System, Silver Spring, Maryland, May 11-12, 2010, 156 p. http://www.ngs.noaa.gov/2010Summit/proceedings.shtml (12 Aug. 2011).
- Roman, D.R., Wang, Y.M., Henning, W., and Hamilton, J., 2004. Assessment of the new national geoid height model - GEOID03. Surveying and Land Information Science, 64(3), pp. 153-162.
- Roman, D.R., Wang, Y.M., Saleh, J., and Li, X., 2010. Geodesy, geoids, and vertical datums: a perspective from the U.S. National Geodetic Survey. Proceedings, FIG Congress 2010, Facing the Challenges -Building the Capacity, Sydney, Australia, April 11-16, 2010, 16 p.
- Slater, J.A., Heady, B., Kroenung, G., Curtis, W., Haase, J., Hoegemann, D., Shockley, C., and Tracy, K., 2011. Global assessment of the new ASTER global digital elevation model. Photogrammetric Engineering and Remote Sensing, 77(4), pp. 335-349.
- Tachikawa, T., Hato, M., Kaku, M., and Iwasaki, A., 2011. Characteristics of ASTER GDEM version 2. International Geoscience and Remote Sensing Symposium (IGARSS), art. no. 6050017, pp. 3657-3660.
- Wang, W., Yang, X., and Yao, T., 2012. Evaluation of ASTER GDEM and SRTM and their suitability in hydraulic modelling of a glacial lake outburst flood in southeast Tibet. Hydrological Processes, 26(2), pp. 213-225. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B4, 2012 XXII ISPRS Congress, 25 August -01 September 2012, Melbourne, Australia
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Yap, L., Kandé, L. H., Nouayou, R., Kamguia, J., Ngouh, N. A., & Makuate, M. B. (2019) · International Journal of Digital Earth · doi:10.1080/17538947.2018.1458163 · Cited by 70
Becker, D., De Andrés-Herrero, M., Willmes, C., Weniger, G.-C., & Bareth, G. (2017) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi6020036 · Cited by 51
Metadata
- Authors
- Gesch, D., Oimoen, M., Zhang, Z., Meyer, D., & Danielson, J.
- Affiliations
- Earth Resources Observation and Science Center (US)
- United States Geological Survey (US)
- Venue
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Publisher
- Copernicus GmbH
- Published
- 2012-07-31
- Volume
- XXXIX-B4
- Pages
- 281-286
- ISSN
- 1682-1750 (ISSN-L)
- 2194-9034
- OpenAlex
- W2130900035
- Cited by
- 79
- References
- 0
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 3 · 2021: 7 · 2020: 10 · 2019: 10 · 2018: 10 · 2017: 11 · 2016: 5 · 2015: 8 · 2014: 9 · 2013: 3 · 2012: 1
- FWCI
- 13.00
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- U.S. Geological Survey (G10PC00044)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Satellite Image Processing and Photogrammetry
- Physical Sciences › Engineering › Aerospace Engineering › GNSS positioning and interference
- Social Sciences › Geography, Planning and Development › Historical Geography and Cartography
- Keywords
- vertical accuracy, elevation bias, root mean square error, tree canopy effects, contiguous United States
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