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Extraction of thalweg networks from DTMs: application to badlands
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Abstract
Abstract. To study gully spatial patterns in the badlands using a continuous thalweg vector network, this paper presents methods to extract the badlands' thalweg network from a regular grid digital terrain model (DTM) by combining terrain morphology indices with a drainage algorithm. This method will delineate a thalweg only where the DTM denotes a significant curvature with respect to DTM accuracy and relies on three major steps. First, discontinuous concave areas were detected from the DTM using morphological criteria, either the plan curvature or the convergence index. Second, the concave areas were connected using a drainage algorithm, which provides a continuous, thick, tree-structured scheme. We assumed that these areas were physically significant and corresponded to a gully floor. Finally, the thick path was reduced to its main course and vectorised to obtain a thalweg network. The methods were applied to both virtual and actual DTM cases. The actual case was a LiDAR DTM of the Draix badlands in the French Alps. The obtained networks were quantitatively compared, both with a network obtained using the usual drainage area criteria and with a reference network mapped in the field. The CI-based network showed the great potential for thalweg network extraction.
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Other geomorphological characteristics can be altered due to changes in watershed delineation, such as the length of the main river, the number of segments, aspect, and slope.
“Other geomorphological characteristics can also be altered due to changes in watershed delineation, such as the length of the main river, the number of segments, aspect, and slope [60,61].”
From ANADEM: A Digital Terrain Model for South America (2024) · cites this paper as [60]
The Discussion and conclusions table reports different total thalweg-network lengths for three extraction methods in the Moulin catchment. That supports the narrower point that how a network is delineated can affect measured length, but it does not establish that changes in watershed delineation alter the main river’s length, segment count, aspect, or slope. (LLM, conf=0.78)
Experimental — accuracy not yet measuredPrevious studies demonstrate a loss of drainage delineation accuracy in areas with high vegetation cover.
“This coincides with previous studies demonstrating a loss of drainage delineation accuracy in areas with high vegetation cover [60,62].”
From ANADEM: A Digital Terrain Model for South America (2024) · cites this paper as [60]
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Research works printed but not linked: 26
- Bretar, F., Chauve, A., Bailly, J.-S., Mallet, C., and Jacome, A.: Terrain surfaces and 3-D landcover classification from small footprint full-waveform lidar data: application to badlands, Hydrol. Earth Syst. Sci., 13, 1531–1544, https://doi.org/10.5194/hess-13-1531-2009, 2009. · DOI
- Dodds, P. S. and Rothmann, D. H.: Geometry of river networks I: scaling, fluctuation and deviation, Physical Review E., 63, 016115, 13 pp., 2001. · DOI
- Evans, I. S.: General geomorphometry, derivatives of altitude, and descriptive statistics, in: Spatial Analysis in Geomorphology, edited by: Chorley, R. J., Methuen, London, 17–90, 1972. · DOI
- Horton, R. E.: Erosional development or streams and their drainage basins: hydrophysical approach to quantitative morphology, Bull. Geol. Soc. Am., 56, 275–370, 1945. · DOI
- Kiss, R.: Determination of drainage network in digital elevation model, utilities and limitations, Journal of Hungarian Geomathematics, 2, 16–29, 2004.
- Lashermes, B., Foufoula-Georgiou, E., and Dietrich, W. E.: Channel network extraction from high resolution topography using wavelets, Geophys. Res. Lett., 34, L23S04, https://doi.org/10.1029/2007GL031140, 2007. · DOI
- Lea, N. J.: An aspect-driven kinematic algorithm, in: Overland flow: hydraulics and erosion mechanics, edited by: Parson, A. J. and Abrahams, A. D., UCL Press, London, 393–407, 1992.
- Martz, L. W. and Garbrecht, J.: Automated recognition of valley lines and drainage networks from grid digital elevation models: a review and a new method–Comment, J. Hydrol., 167, 393–396, 1995. · DOI
- Martz, L. W. and Garbrecht J.: An outlet breaching algorithm for the treatment of closed depressions in a raster DEM, Computers & Geosciences, 25(7), 835–844, 1999. · DOI
- Molly, I. and Stepinski, T. F.: Automatic mapping of valley networks on Mars, Computers & Geosciences, 33, 728–738, 2007. · DOI
- Montgomery, D. R. and Dietrich, W. E.: Landscape dissection and area-slope thresholds, in: Process Models and Theoretical Geomorphology, edited by: Kirkby, M. J., John Wiley, New York, 221–246, 1994.
- Montgomery, D. R. and Dietrich, W. E.: Where do channels begins?, Nature, 336, 232–234, 1988. · DOI
- O'Callaghan, J. and Mark, D.: The extraction of drainage networks from digital elevation data, Computer vision, graphics and image processing, 28, 323–344, 1984. · DOI
- Peuker, T. K. and Douglas, D. H.: Detection of surface-specific points by local parallel processing of discrete terrain elevation data, Computer Graphics Image Processing, 4, 375–387, 1975. · DOI
- Pirotti, F. and Tarolli, P.: Suitability if LiDAR point density and derived landform curvature maps for channel network extraction, Hydrol. Processes, 24(9), 1187-1197, https://doi.org/10.1002/hyp.7582, 2010. · DOI
- Planchon, O. and Darboux, F.: A fast, simple and versatile algorithm to fill the depression of digital elevation models, Catena, 46, 159–176, 2001. · DOI
- Quinn, P. F., Beven, K. J., Chevallier, P., and Planchon, O.: The prediction of hillslope flow paths for distributed hydrological modeling using digital terrain models, Hydrol. Processes, 5, 59–79, 1991 · DOI
- Rana, S.: Use of plan curvature variations for the identification of ridges and channels on DEM, Spatial Data Handling Proceedings, 789–804, 2006. · DOI
- Tarboton, D. G. and Ames, D. P.: Advances in the mapping of flow networks from digital elevation data, in: Proceedings of World Water and Environmental Resources Congress, Orlando, Florida, 20-24 May, 2001. · DOI
- Tarboton, D. G.: A new method for the determination of flow directions and contributing areas in grid digital elevation models, Water Resour. Res., 33(2), 309–319, 1997. · DOI · Paper page
- Tarolli, P. and Dalla Fontana, G.: Hillslope to valley transition morphology: new opportunities from high resolution DTMs, Geomorphology, 113, 47–56, 2009. · DOI
- Turcotte, R., Fortin, J. P., Rousseau, A. N., Massicotte, S., and Villeneuve J. P.: Determination of the drainage structure of a watershed using a digital elevation model and a digital river and lake network, J. Hydrol., 240, 225–242, 2001. · DOI
- Wilson, J. P. and Gallant, J. C. (Eds.): Terrain Analysis, Principles and Applications, John Wiley, New York, 1–28, 2000.
- Wilson, J. P., Lam, C. S., and Deng, Y.: Comparison of the performance of flow-routing algorithms used in GIS-based hydrologic analysis, Hydrol. Processes, 21, 1026–144, 2007. · DOI
- Wood, J. D.: The geomorphological characterisation of digital elevation models, PhD Thesis, University of Leicester, UK, http://www.soi.city.ac.uk/ jwo/phd, last access: 12 June 2009, 1996.
- Zevenbergen, L. W. and Thorne, C. R.: Quantitative analysis of land surface topography, Earth Surface Processes and Landforms, 12, 47–56, 1987. · DOI
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ANADEM: A Digital Terrain Model for South America
Laipelt, L., Comini de Andrade, B., Collischonn, W., de Amorim Teixeira, A., Paiva, R. C. D. D., & Ruhoff, A. (2024) · Remote Sensing · doi:10.3390/rs16132321 · Cited by 79
Metadata
- Authors
- Thommeret, N., Bailly, J. S., & Puech, C.
- Venue
- Hydrology and Earth System Sciences
- Publisher
- Copernicus GmbH
- Published
- 2010-08-10
- Volume
- 14
- Issue
- 8
- Pages
- 1527-1536
- ISSN
- 1607-7938
- Cited by
- 51
- References
- 0
- Language
- en
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