EarthEnv-DEM90: A nearly-global, void-free, multi-scale smoothed, 90m digital elevation model from fused ASTER and SRTM data

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 87, Issue , 2014, Pages 57-67

  Robinson, Natalie ^a   Regetz, James ^b   Guralnick, Robert P ^a  

^a UNIVERSITY OF COLORADO   (United States)

^b NATIONAL CENTER FOR ECOLOGICAL ANALYSIS AND SYNTHESIS   (United States)

Author keywords

ASTER; DEM blending; Global Digital Elevation Model (DEM); Multi scale smoothing; SRTM; Void filling

Indexed keywords

BLENDING; DATA FUSION; DIGITAL INSTRUMENTS; ECONOMIC AND SOCIAL EFFECTS; GEOMORPHOLOGY; TRACKING RADAR;

ASTER; DIGITAL ELEVATION MODEL; MULTI-SCALE SMOOTHING; SRTM; VOID FILLING;

SURVEYING;

ASTER; DATA SET; DIGITAL ELEVATION MODEL; SATELLITE DATA; SHUTTLE RADAR TOPOGRAPHY MISSION; SPATIAL RESOLUTION; TERRAIN; VOID;

EID: 84888424214     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2013.11.002     Document Type: Article

References (34)

1. Braunisch V., Bollmann K., Graf R.F., Hirzel A.H. Living on the edge-modelling habitat suitability for species at the edge of their fundamental niche. Ecological Modelling 2008, 214(2):153-167.
2. Burt P.J., Adelson E.H. A multiresolution spline with application to image mosaics. ACM Transactions on Graphics 1983, 2(4):217-236.
3. Carabajal C.C., Harding D.J., Boy J.P., Danielson J.J., Gesch D.B., Suchdeo V.P. Evaluation of the global multi-resolution terrain elevation data 2010 (GMTED2010) using ICESat geodetic control. International Symposium on Lidar and Radar Mapping Technologies 2011, International Society for Optics and Photonics, pp. 82861Y-82861Y.
4. 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., Alsdorf D. The shuttle topography mission. Reviews of Geophysics 2007, 45(2).
5. Fisher P.F., Tate N.J. Causes and consequences of error in digital elevation models. Progress in Physical Geography 2006, 30(4):467-489.
6. Franklin J. Predictive vegetation mapping: geographic modelling of biospatial patterns in relation to environmental gradients. Progress in Physical Geography 1995, 19(4):474-499.
7. Gallant, J.C., 2011. Adaptive smoothing for noisy DEMs. Geomorphometry Conference, Redlands, CA, 7-9 September. (Published at: <>). http://www.geomorphometry.org/Gallant2011.
8. Gesch, D., Oimoen, M., Zhang, Z., Danielson, J., Meyer, D., 2011. Validation of the ASTER Global Digital Elevation Model (GDEM) Version 2 over the Conterminous United States (USGS Validation Report), <> (accessed 19.09.13). http://www.ersdac.or.jp/GDEM/ver2Validation/Appendix_B_CONUS%20_GDEMv2_validation_report.pdf.
9. Global Land Survey Digital Elevation Model (GLSDEM) Technical Guide, <> (accessed 06.05.13). http://www.glcf.umd.edu/library/guide/techguide_glsdem.pdf.
10. Grohman G., Kroenung G., Strebeck J. Filling SRTM voids: the delta surface fill method. Photogrammetric Engineering and Remote Sensing 2006, 72(3):213-216.
11. Hargrove, W.W., 1995. Interpolation of rainfall in Switzerland using a regularized spline with tension.
12. Hijmans, R.J., van Etten, J., 2012. Raster: Geographic data analysis and modeling. R package, version 2.0-41. <>. http://www.CRAN.R-project.org/package=raster.
13. Hofierka J., Parajka J., Mitasova H., Mitas L. Multivariate interpolation of precipitation using regularized spline with tension. Transactions in GIS 2002, 6(2):135-150.
14. Hong S.H., Jung H.S., Won J.S. Extraction of ground control points (GCPs) from synthetic aperture radar images and SRTM DEM. International Journal of Remote Sensing 2006, 27(18):3813-3829.
15. Jarvis A., Reuter, H.I., Nelson, A., Guevara, E., 2008. Hole-filled seamless SRTM data V4, InternationalCentre for TropicalAgriculture (CIAT), <> (accessed 23.05.13). http://www.srtm.csi.cgiar.org.
16. Jentes E.S., Poumerol G., Gershman M.D., Hill D.R., Lemarchand J., Lewis R.F., Staples J.E., Tomori O., Wilder-Smith A., Monath T.P. The revised global yellow fever risk map and recommendations for vaccination, 2010: consensus of the Informal WHO Working Group on Geographic Risk for Yellow Fever. The Lancet Infectious Diseases 2011, 11(8):622-632.
17. Kääb A. Combination of SRTM3 and repeat ASTER data for deriving alpine glacier flow velocities in the Bhutan Himalaya. Remote Sensing of Environment 2005, 94(4):463-474.
18. Karkee M., Steward B.L., Abd Aziz S. Improving quality of public domain digital elevation models through data fusion. Biosystems Engineering 2008, 101(3):293-305.
19. Li P., Shi C., Li Z., Muller J.-P., Drummond J., Li X., Li T., Li Y., Liu Jingnan Evaluation of ASTER GDEM VER2 using GPS measurements and SRTM VER4.1 in China. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2012, 22(Parts 1-4):181-186.
20. Mitasova H., Mitas L. Interpolation by regularized spline with tension: I. Theory and implementation. Mathematical Geology 1993, 25(6):641-655.
21. Mitasova H., Mitas L., Harmon R.S. Simultaneous spline approximation and topographic analysis for Lidar elevation data in open-source GIS. IEEE Geoscience and Remote Sensing Letters 2005, 2(4):375-379.
22. NASA Land Processes Distributed Active Archive Center (LP DAAC). ASTER GDEM2, USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, 2011.
23. Nikolakopoulos K.G., Tsombos P.I., Zervakou A. Evaluating SRTM and ASTER DEM accuracy for the broader area of Sparti, Greece. Proc. Remote Sensing 2007, International Society for Optics and Photonics, pp. 67460F-67460F.
24. Oki T., Sud Y.C. Design of total runoff integrating pathways (TRIP) - a global river channel network. Earth Interactions 1998, 2(1):1-36.
25. R Core Team, 2013. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0. <>. http://www.R-project.org/.
26. Rodriguez, E., Morris, C.S., Belz, J.E., Chapin, E.C., Martin, J.M., Daffer, W., Hensley, S., 2005. An assessment of the SRTM topographic products. (Jet Propulsion Laboratory Technical Report). <> (accessed 19 September, 2013). http://www2.jpl.nasa.gov/srtm/SRTM_D31639.pdf.
27. Scherler D., Leprince S., Strecker M.R. Glacier-surface velocities in alpine terrain from optical satellite imagery - accuracy improvement and quality assessment. Remote Sensing of Environment 2008, 112(10):3806-3819.
28. Schindler K., Papasaika H., Schautz S., Baltsavias E. Improving wide-area DEMs through data fusion - chances and limits. Proceedings of the Photogrammetric Week 2011, 11:159-170.
29. Suwandana E., Kawamura K., Sakuno Y., Kustiyanto E., Raharjo B. Evaluation of ASTER GDEM2 in comparison with GDEM1, SRTM DEM and topographic-map-derived DEM using inundation area analysis and RTK-dGPS data. Remote Sensing 2012, 4(8):2419-2431.
30. Tachikawa, T., Kaku, M. Iwasaki, A., Gesch, D., Oimoen, M., Zhang, Z., Danielson, J., Krieger, T., Curtis, B., Haase, J., Abrams, M., Crippen, R., Carabajal, C., 2011. ASTER Global Digital Elevation Model Version 2 - Summary of Validation Results. (ASTER GDEM Validation Team Report). <> (accessed 19.09.13). https://lpdaacaster.cr.usgs.gov/GDEM/Summary_GDEM2_validation_report_final.pdf.
31. Turner D.P., Dodson R., Marks D. Comparison of alternative spatialresolutionsin the application of a spatially distributed biogeochemicalmodelover complex terrain. Ecological Modeling 1996, 90(1):53-67.
32. Urai M., Tachikawa T., Fujisada H. Data acquisition strategies for ASTER global DEM generation. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2012, 22(Parts 1-4):199-202.
33. USGS, 2008. GLSDEM. Global Land Cover Facility, University of Maryland, College Park, Maryland.
34. Wang, L., Chen, J., Zhang, H., Chen, L., 2011. Difference analysis of SRTM C-band DEM and ASTER GDEM for global land cover mapping. Image and Data Fusion (ISIDF), 2011 International Symposium. IEEE, pp. 1-4.