Accuracy assessment of digital elevation models based on approximation theory

Photogrammetric Engineering and Remote Sensing

Volumn 75, Issue 1, 2009, Pages 49-56

  Hu, Peng ^a   Liu, Xiaohang ^b   Hu, Hai ^a  

^a WUHAN UNIVERSITY   (China)

^b SAN FRANCISCO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTATION THEORY; ERRORS; INTERPOLATION; LANDFORMS; MAPS;

ACCURACY ASSESSMENT; BILINEAR INTERPOLATION; COMPUTATIONAL SCIENCE; DIGITAL ELEVATION MODEL; INTERPOLATION ERROR; INTERPOLATION METHOD; LINEAR INTERPOLATION; SAMPLING DENSITIES;

SURVEYING;

ACCURACY ASSESSMENT; DIGITAL ELEVATION MODEL; MORPHOLOGY; TERRAIN; TOPOGRAPHIC MAPPING;

EID: 58449128499     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.75.1.49     Document Type: Article

References (19)

1. Aguilar, F.J., F. Aguera, M. Agullar, and F. Carvajal, 2005. Effects of terrain morphology, sampling density, and interpolation methods on grid DEM accuracy, Photogrammetric Engineering & Remote Sensing, 71(7):805-816.
2. Aguilar, F.J., M. Aguilar, F. Aguera, and J. Sanchez, 2006. The accuracy of grid digital elevation models linearly constructed from scattered sample data, International Journal of Geographical Information Science, 20(2):169-192.
3. Atkinson, K., and W. Han 2004. Elementary Numerical Analysis, Third edition, Chichester, John Wiley and Sons, Hoboken, New Jersey, 560 p.
4. Bonin, O., and F. Rousseaux, 2005. Digital terrain model computation from contour lines: How to derive quality information from artifact analysis, GeoInformatica, 9(3):253-268.
5. Fisher, P.F., 1991. First experiments in viewshed uncertainty: The accuracy of the viewshed area, Photogrammetric Engineering & Remote Sensing, 57(12):1321-1327.
6. Holmes, K., O.A. Chadwick, and P.C. Kyriakidis, 2000. Error in a USGS 30-meter digital elevation model and its impact on terrain modeling, Journal of Hydrology, 233:154-173.
7. Hunter, G.J., and M.F. Goodchild, 1995. Dealing with error in spatial databases: A simple case study, Photogrammetric Engineering & Remote Sensing, 61(5):529-537.
8. Kyriakidis, P.C., and M.F. Goodchild, 2006. On the prediction error variance of three common spatial interpolation schemes, International Journal of Geographical Information Science, 20(8):823-856.
9. Kyriakidis, P.C., A.M. Shortridge, and M.F. Goodchild, 1999. Geostatistics for conflation and accuracy assessment of digital elevation models, International Journal of Geographical Information Science, 13:677-707.
10. Li, Z., 1993. Mathematical models of the accuracy of digital terrain model surfaces linearly constructed from square gridded data, The Photogrammetric Record, 14(82):661-674.
11. Liu, X., and P. Hu, 2007. Accuracy assessment of digital elevation models based on approximation theory, Proceedings of the Geographical Information Science Research UK Conference, 11-13 April, Maynooth, Ireland (National Center for Geocomputation, National University of Ireland Maynooth), pp. 246-251.
12. Lopez, C., 2002. An experiment on the elevation accuracy improvement of photogrammetrically derived DEM, International Journal of Geographical Information Science, 16(4):361-375.
13. Oksanen, J., and T. Sarjakoski, 2006. Uncovering the statistical and spatial characteristics of fine toposcale DEM error, International Journal of Geographical Information Science, 20(4):345-369.
14. Östman, A., 1987. Accuracy estimation of digital elevation data banks, Photogrammetric Engineering & Remote Sensing, 53(4):425-430.
15. Tempfli, K., 1980. Spectral analysis of terrain relief for the accuracy estimation of digital terrain models, ITC Journal, 1980(3):478-510.
16. Torlegard, K., A. Östman, and R. Lindgren, 1986. A comparative test of photogrammetrically sampled digital elevation models, Photogrammetria, 41:1-16.
17. USGS, 1998. Standards for Digital Elevation Models, URL: http://rockyweb.cr.usgs.gov/nmpstds/acrodocs/dem/PDEM0198.P DF (last date accessed: 02 October 2008).
18. Wise, S., 2000. Assessing the quality for hydrological applications of digital elevation models derived from contours, Hydrological Process, 14:1909-1929.
19. Wood, J.D., 1994. Visualising contour interpolation accuracy in digital elevation models Visualization in Geographical Information Systems (H.M. Hearnshaw and D.J. Unwin, editors), John Wiley and Sons, Chichester, West Sussex, U.K., pp. 168-80.