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Chapter 5 Geostatistical Simulation and Error Propagation in Geomorphometry
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“The DEMs were then corrected for unrealistic geomorphology that might have been introduced when adding the random error field (Temme et al., 2009, p. 131).This was achieved through the use of a sink fill algorithm, which removes surface depressions in DEMs (Choi, 2018;Wang & Liu, 2006).”
From Probabilistic modelling for incorporating uncertainty in least cost path results: a postdictive roman road case study (2021) · cites this paper as Temme et al., 2009
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Research works printed but not linked: 25
- Aerts, 2003, Accounting for spatial uncertainty in optimization with spatial decision support systems, Transactions in GIS, 7, 211, 10.1111/1467-9671.00141 · DOI
- Bolstad, 1994, An evaluation of DEM accuracy: elevation, slope and aspect, Photogrammetric Engineering and Remote Sensing, 60, 1327
- Carrara, 1997, Comparison of techniques for generating digital terrain models from contour lines, International Journal of Geographical Information Science, 11, 451, 10.1080/136588197242257 · DOI
- Desmet, 1997, Effects of interpolation errors on the analysis of DEMs, Earth Surface Processes and Landforms, 22, 563, 10.1002/(SICI)1096-9837(199706)22:6<563::AID-ESP713>3.0.CO;2-3 · DOI
- Endreny, 2001, Representing elevation uncertainty in runoff modelling and flowpath mapping, Hydrological Processes, 15, 2223, 10.1002/hyp.266 · DOI
- Fisher, 1998, Improved modeling of elevation error with geostatistics, GeoInformatica, 2, 215, 10.1023/A:1009717704255 · DOI · Paper page
- Fisher, 2006, Causes and consequences of error in digital elevation models, Progress in Physical Geography, 30, 467, 10.1191/0309133306pp492ra · DOI · Paper page
- Goovaerts, 1997, Geostatistics for Natural Resources Evaluation, 10.1093/oso/9780195115383.001.0001 · DOI
- Holmes, 2000, Error in a USGS 30m digital elevation model and its impact on digital terrain modeling, Journal of Hydrology, 233, 154, 10.1016/S0022-1694(00)00229-8 · DOI
- Holmgren, 1994, Multiple flow direction algorithms for runoff modeling in grid based elevation models — an empirical-evaluation, Hydrological Processes, 8, 327, 10.1002/hyp.3360080405 · DOI
- Hunter, 1997, Modeling the uncertainity of slope and aspect estimates derived from spatial databases, Geographical Analysis, 29, 35, 10.1111/j.1538-4632.1997.tb00944.x · DOI
- Karssenberg, 2005, Dynamic environmental modelling in GIS: 2. Modelling error propagation, International Journal of Geographical Information Science, 19, 623, 10.1080/13658810500104799 · DOI
- Kyriakidis, 1999, Geostatistics for conflation and accuracy assessment of digital elevation models, International Journal of Geographical Information Science, 13, 677, 10.1080/136588199241067 · DOI
- Lindsay, 2006, Distinguishing actual and artefact depressions in digital elevation data, Computers & Geosciences, 32, 1192, 10.1016/j.cageo.2005.11.002 · DOI
- Oksanen, 2006, Uncovering the statistical and spatial characteristics of fine toposcale DEM error, International Journal of Geographical Information Science, 20, 345, 10.1080/13658810500433891 · DOI
- Planchon, 2001, A fast, simple and versatile algorithm to fill the depressions of digital elevation models, Catena, 46, 159, 10.1016/S0341-8162(01)00164-3 · DOI
- Schoorl, 2000, Three dimensional landscape process modelling: the effect of DEM resolution, Earth Surface Processes and Landforms, 25, 1025, 10.1002/1096-9837(200008)25:9<1025::AID-ESP116>3.0.CO;2-Z · DOI
- Temme, 2006, An algorithm for dealing with depressions in dynamic landscape evolution models, Computers & Geosciences, 32, 452, 10.1016/j.cageo.2005.08.001 · DOI
- Van Niel, 2004, Effect of error in the DEM on environment variables for predictive vegetation modelling, Journal of Vegetation Science, 15, 747, 10.1111/j.1654-1103.2004.tb02317.x · DOI
- Van Niel, 2003, Gambling with randomness: the use of pseudo-random number generators in GIS, International Journal of Geographical Information Science, 17, 49, 10.1080/713811743 · DOI
- Weibel, 1995, Adaptive methods for the refinement of digital terrain models for geomorphometric applications, Zeitschrift für Geomorphologie, Supplementband, 101, 13
- Wise, 2000, Assessing the quality for hydrological applications of digital elevation models derived from contours, Hydrological Processes, 14, 1909, 10.1002/1099-1085(20000815/30)14:11/12<1909::AID-HYP45>3.0.CO;2-6 · DOI
- Fischer, 2006, Causes and consequences of error in digital elevation models, Progress in Physical Geography, 30, 467, 10.1191/0309133306pp492ra · DOI · Paper page
- Goovaerts, 1997, Geostatistics for Natural Resources Evaluation, 10.1093/oso/9780195115383.001.0001 · DOI
- Schoorl, 2000, Three dimensional landscape process modelling: the effect of DEM resolution, Earth Surface Processes and Landforms, 25, 1025, 10.1002/1096-9837(200008)25:9<1025::AID-ESP116>3.0.CO;2-Z · DOI
Cited by
Sorted by citations
Lewis, J. (2021) · Journal of Archaeological Method and Theory · doi:10.1007/s10816-021-09522-w · Cited by 53
Metadata
- Authors
- Temme, A. J. A. M., Heuvelink, G. B. M., Schoorl, J. M., & Claessens, L.
- Venue
- Developments in Soil Science
- Publisher
- Elsevier
- Published
- 2009
- Pages
- 121-140
- ISSN
- 0166-2481
- Cited by
- 38
- References
- 0
- Language
- en
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