Articles | Volume 15, issue 2
https://doi.org/10.5194/hess-15-667-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-15-667-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Efficient extraction of drainage networks from massive, radar-based elevation models with least cost path search
M. Metz
Institute of Experimental Ecology, University of Ulm, Ulm, Germany
H. Mitasova
Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, North Carolina, USA
R. S. Harmon
Environmental Sciences Division, Army Research Office, US Army Research Laboratory, Durham, North Carolina, USA
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- An expanded role for river networks J. Benstead & D. Leigh 10.1038/ngeo1593
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- Least Cost Path Extraction of Topographic Features for Storm Impact Scale Mapping 10.2112/JCOASTRES-D-11-00126.1
- Flow network derivation from a high resolution DEM in a low relief, agrarian landscape W. Schwanghart et al. 10.1002/esp.3452
- Watershed delineation using hydrographic features and a DEM in plain river network region Z. Lai et al. 10.1002/hyp.10612
- High-efficient extraction of drainage networks from digital elevation models constrained by enhanced flow enforcement from known river maps T. Wu et al. 10.1016/j.geomorph.2019.04.022
- Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV) J. Baluja et al. 10.1007/s00271-012-0382-9
- Geomatic methods at the service of water resources modelling J. Molina et al. 10.1016/j.jhydrol.2013.11.034
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- An efficient variant of the Priority-Flood algorithm for filling depressions in raster digital elevation models G. Zhou et al. 10.1016/j.cageo.2016.02.021
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- Using Public Landslide Inventories for Landslide Susceptibility Assessment at the Basin Scale: Application to the Torto River Basin (Central-Northern Sicily, Italy) C. Martinello et al. 10.3390/app13169449
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