Abstract
This paper explores a methodology for quantifying the uncertainty of DEMs created by digitising topographic maps. The origins of uncertainty in DEM production were identified and examined. The uncertainty of DEM data was quantified by computing a vector total of Root Mean Square Error (RMSE) from the source map, sampling and measurement errors, and the interpolation process. Distributional measures including accuracy surfaces, spatial autocorrelation indices, and variograms were also employed to quantify the magnitude and spatial pattern of the uncertainty. The test for this methodology utilises a portion of a 1:24 000 topographic map centred on Stone Mountain in northeastern Georgia, USA. Five DEMs, constructed with different interpolation algorithms, are found to have the total RMSE ranging from 4.39 to 9.82 meters, and a highly concentrated pattern of uncertainty in rugged terrain. This study suggests that the RMSE provides only a general indicator of DEM uncertainty. Detailed studies should use distributional measures to understand how the uncertainty varies over a surface.
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Refrences
Ackermann F (1978) Experimental investigation into the accuracy of contouring through DTM. In: Proceedings of Digital Terrain Modelling Symposium. St. Louis, pp 165–192
Ackermann F (1994) Digital elevation models: techniques and applications, quality standards, development. In: ISPRS (ed) Proceedings of the Symposium on Mapping and Geographic Information Systems. University of Georgia, Athens, Georgia, pp 421–432
Ackermann F (1996) Techniques and strategies for DEM generation. In: Grève C (ed) Digital Photogrammetry: An Addendum to the Manual of Photogrammetry. American Society of Photogrammetry and Remote Sensing, Falls Church, VA, pp 135–141
Briggs IC (1974) Machine contouring using minimum curvature. Geophysics 39(1): 39–48
Carr JR (1995) Numerical Analysis for the Geological Sciences. Prentice Hall, Englewood Cliffs, NJ
Davis JC (1986) Statistics and Data Analysis in Geology (Second Edition). John Wiley and Sons, New York
Ebner H, Reiss P (1984) Experience with height interpolation by finite elements. Photogrammetric Engineering and Remote Sensing 50(2): 177–182
Eklundh L, Martensson U (1995) Rapid generation of digital elevation models from topographic maps. International Journal of Geographic Information Systems 9(3): 329–340
Fisher P (1999) Models of uncertainty in spatial data. In: Longley PA, Goodchild MF, Maguire DJ, Rhind DW (eds) Geographical Information Systems (Volume 1): Principles and Technical Issues (Second Edition). John Wiley and Sons, New York, pp 191–205
Gao J (1997) Resolution and accuracy of terrain representation by grid DEMs at a microscale. International Journal of Geographic Information Science 11(2): 199–212
Goodchild MF, Buttenfield BP, Wood J (1994) Introduction to visualizing data quality. In: Hearshaw HM, Unwin DJ (eds) Visualization in Geographic Information Systems. John Wiley and Sons, New York, pp 141–149
Griffith DA, Armhein CG (1991) Statistical Methods for Geographers. Prentice-Hall, Englewood Cliffs, NJ
Guth P (1992) Spatial analysis of DEM error. In: Proceedings of ASPRS/ACSM Annual Meeting. American Society of Photogrammetry and Remote Sensing, Washington DC, pp, 187–196
Hardy RL (1990) Theory and applications of the multiquadratic-biharmonic method. Computers and Mathematics with Applications 19: 163–208
Heuvelink G (1999) Propagation of error in spatial modeling with GIS. In: Longley PA, Goodchild MF, Maguire DJ, Rhind DW (eds) Geographical Information Systems (Volume 1): Principles and Technical Issues (Second Edition). John Wiley and Sons, New York, pp 207–217
Houlding SW (1994) 3D Geoscience Modeling: Computer Techniques for Geological Characterization. Springer-Verlag, New York
Hunter GJ, Caetano M, Goodchild, MF (1995) A methodology for reporting uncertainty in spatial database products. Journal of the Urban and Regional Information Systems Association 7: 11–21
Hutchinson MF, Gallant JC (1999) Representation of terrain. In: Longley PA, Goodchild MF, Maguire DJ, Rhind DW (eds) Geographical Information Systems (Volume 1): Principles and Technical Issues (Second Edition). John Wiley and Sons, New York, pp 105–124
Lam SN (1983) Spatial interpolation methods: a review. The American Cartographer 10(2): 129–49
Li Z (1993a) Theoretical models of the accuracy of digital terrain models: An evaluation and some observations. Photogrammetric Record 14(82): 651–659
Li Z (1993b) Mathematical models of the accuracy of digital terrain model surfaces linearly constructed from square gridded data. Photogrammetric Record 14(82): 661–673
Li Z (1994) A comparative study of the accuracy of digital terrain models (DTMs) based on various data models. ISPRS Journal of Photogrammetry and Remote Sensing 49(1): 2–11
Monckton C (1994) An investigation into the spatial structure of error in digital elevation data. In: Innovations in GIS 1. Taylor and Francis, London, pp 201–211
Petrie G (1990) Photogrammetric methods of data acquisition for terrain modelling. In: Petrie G, Kennie TJM (eds) Terrain Modeling in Surveying and Engineering. Whittles Publishing Services, Caithness, pp 26–48
Shearer, JW (1990) The accuracy of digital terrain models. In: Petrie G, Kennie TJM (eds) Terrain Modeling in Surveying and Engineering. Whittles Publishing Services, Caithness, pp 315–336
Shepard D (1968) A two dimensional interpolation function for irregularly spaced data. In: Proceeding 23rd National Conference ACM. Brandon/Systems Press, Princeton, pp 517–523
Torlegard K, Ostman A, Lindgren R (1987) A comparative test of photogrammetrically sampled digital elevation models. In: Transactions of the Royal Institute of Technology, Photogrammetric Reports Nr 53, Sweden
Veregin H (1999) Data quality parameters. In: Longley PA, Goodchild MF, Maguire DJ, Rhind DW (eds) Geographical Information Systems (Volume 1): Principles and Technical Issues (Second Edition). John Wiley and Sons, New York, pp 177–189
Wang L (1990) Comparative Studies of Spatial Interpolation Accuracy. Master thesis, Department of Geography, University of Georgia
Weng Q (1998) Comparative assessment of spatial interpolation accuracy of elevation data. In: Proceedings of 1998 ACSM Annual Convention and Exhibition. Baltimore, Maryland
Weng Q (2001) A methodology for conceptualizing and quantifying uncertainty of Digital Elevation Models. In: Forer, P, Yeh A, He J (eds) Advances in GIS Research III: Towards Holistic Spatial Data Handling. Springer-Verlag, Berlin
Wood J (1996) The Geomorphological Charaterisation of Digital Elevation Models. Ph.D. thesis, Department of Geography, University of Leicester, Leicester, UK
Wood J, Fisher P (1993) Assessing interpolation accuracy in elevation models. IEEE Computer Graphics and Applications 13(2): 48–56
Wren AE (1975) Contouring and the contour map: a new perspective. Geographical Prospecting 23: 1–17
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Weng, Q. (2002). Quantifying Uncertainty of Digital Elevation Models Derived from Topographic Maps. In: Richardson, D.E., van Oosterom, P. (eds) Advances in Spatial Data Handling. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56094-1_30
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DOI: https://doi.org/10.1007/978-3-642-56094-1_30
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