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Evaluation on the accuracy of digital elevation models

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Abstract

There is a growing interest in investigating the accuracy of digital elevation model (DEM). However people usually have an unbalanced view on DEM errors. They emphasize DEM sampling errors, but ignore the impact of DEM resolution and terrian roughness on the accuracy of terrain representation. This research puts forward the concept of DEM terrain representation error (Et) and then investigates the generation, factors, measurement and simulation of DEM terrain representation errors. A multi-resolution and multi-relief comparative approach is used as the major methodology in this research. The experiment reveals a quantitative relationship between the error and the variation of resolution and terrain roughness at a global level. Root mean square error (RMS Et) is regressed against surface profile curvature (V) and DEM resolution (R) at 10 resolution levels. It is found that the RMS Et may be expressed asRMS Et=(0.0061·V+0.0052)·V+0.2415. This result may be very useful in forecasting DEM accuracy, as well as in determining the DEM resolution related to the accuracy requirement of particular application.

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References

  1. Li Z. On the measure of digital terrain model accuracy.Photogrammetric Record, 1988,72(12): 873–877.

    Google Scholar 

  2. Li Z. Effect of check points on the reliability of DTM accuracy estimates obtained from experimental tests.Photogrammetric Engineering and Remote Sensing, 1991,57(10): 1333–1340.

    Google Scholar 

  3. Li Z. Mathematical models of the accuracy of digital terrain model surfaces linearly constructed from square gridded data.Photogrammetric Record, 1993,14(82): 661–673.

    Article  Google Scholar 

  4. Fisher P F. First experiments in viewshed uncertainty: the accuracy of the viewshed area.Photogrammetric Engineering and Remote Sensing, 1991,57 (10): 1321–1327.

    Google Scholar 

  5. Carter J R. The effect of data precision on the calculation of slope and aspect using gridded DEM.Cartographica, 1992,29: 22–34.

    Google Scholar 

  6. Bolstad P V, Stowe T. An evaluation of DEM accuracy elevation, slope, and aspect.Photogrammetric Engineering and Remote Sensing, 1994,60(11): 1327–1332.

    Google Scholar 

  7. Garbrecht J, Martz L. Grid size dependency of parameters from digital elevation models.Computer & Geosciences, 1994,20(1): 85–87.

    Article  Google Scholar 

  8. Giles P, Franklin S E. Comparison of derivation topographic surfaces of DEMs generated from stereoscopic SPOT images with field measurements.Photogrammetric Engineering and Remote Sensing, 1996,62(10): 1165–1171.

    Google Scholar 

  9. Veregin H. The effect of vertical error in digital elevation models on the determination of flow-path direction.Cartography and Geographic Information System, 1997,24(2): 67–79.

    Article  Google Scholar 

  10. Gao J. Resolution and accuracy of terrain representation by grid DEMs at a micro-scale.Int. J. Geographical Information Science, 1997,11(2): 199–212.

    Article  Google Scholar 

  11. Gao J. Impact of sampling intervals on the reliability of topographic variables mapped from grid DEMs at a micro-scale.Int. J. Geographical Information Science, 1998,12(8): 875–890.

    Article  Google Scholar 

  12. Cheng K, Tsai B. The effect of DEM resolution on slope and aspect mapping.Cartography and Geographic Information Systems, 1991,18: 69–77.

    Article  Google Scholar 

  13. Burrough P A. Princiles of Geographical Information Systems for Land Resources Assessment, Oxford: Oxford University Press, 1986. 147–166.

    Google Scholar 

  14. Yuan L P. Grid based DEMs accuracy analysis.Survey and Mapping Standardisation, 1989,17(3): 12–19.

    Google Scholar 

  15. Martz L W, Garbrecht J. Numerical definition of drainage network and subcatchment areas from digital elevation models.Computers and Geosciences, 1992,18(6): 747–761.

    Article  Google Scholar 

  16. Monckton C. An investigation into the spatial structure of error in digital elevation data.Innovations in GIS, I. London: Taylor and Francis, 1994. 201–211

    Google Scholar 

  17. Tang G. A Research on the Accuracy of Digital Elevation Models. New York: Science Press, 52–160.

Download references

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Correspondence to Tang Guo-an.

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Foundation item: National Natural Science Foundation of China, No. 49971065; Open Research Fund Program of LIESMARS, No. WKL99-0302; High-visiting Scholar Fund of the Key Laboratory of Continental Dynamics, Ministry of Education, China

Author: Tang Guo’an (1961-), Ph.D., specialized in DEM accuracy and GIS-based spatial analysis.

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Guo-an, T., Strobl, J., Jian-ya, G. et al. Evaluation on the accuracy of digital elevation models. J. Geogr. Sci. 11, 209–216 (2001). https://doi.org/10.1007/BF02888692

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  • DOI: https://doi.org/10.1007/BF02888692

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