Articles | Volume 14, issue 8
https://doi.org/10.5194/hess-14-1527-2010
© Author(s) 2010. 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-14-1527-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
10 Aug 2010
Extraction of thalweg networks from DTMs: application to badlands
N. Thommeret
CNRS-UMR 8591, Laboratoire de Géographie Physique, 92190 Meudon, France
Cemagref-UMR TETIS, 34093 Montpellier, France
J. S. Bailly
AgroParisTech-UMR LISAH, 34060 Montpellier, France
AgroParisTech-UMR TETIS, 34093 Montpellier, France
C. Puech
Cemagref-UMR TETIS, 34093 Montpellier, France
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40 citations as recorded by crossref.
- MoR-UNet-TG: semantic segmentation of lunar rilles using terrain-aware gating and transfer learning Z. Li et al. https://doi.org/10.1080/2150704X.2026.2653997
- Detection and Labeling of Sensitive Areas in Hydrological Cartography Using Vector Statistics E. Quiros et al. https://doi.org/10.1109/TGRS.2015.2453112
- GIS-Based Detection of Gullies in Terrestrial LiDAR Data of the Cerro Llamoca Peatland (Peru) B. Höfle et al. https://doi.org/10.3390/rs5115851
- Terrestrial Photogrammetry–GIS Methodology for Measuring Rill Erosion at the Sparacia Experimental Area, Sicily V. Palmeri et al. https://doi.org/10.3390/rs16224232
- High-resolution topography for understanding Earth surface processes: Opportunities and challenges P. Tarolli https://doi.org/10.1016/j.geomorph.2014.03.008
- Efficiency of local minima and GLM techniques in sinkhole extraction from a LiDAR-based terrain model P. Enyedi et al. https://doi.org/10.1080/17538947.2018.1501107
- An objective approach for feature extraction: distribution analysis and statistical descriptors for scale choice and channel network identification G. Sofia et al. https://doi.org/10.5194/hess-15-1387-2011
- Gully erosion susceptibility assessment based on machine learning-A case study of watersheds in Tuquan County in the black soil region of Northeast China C. Liu et al. https://doi.org/10.1016/j.catena.2022.106798
- Area Partitioning for Channel Network Extraction Using Digital Elevation Models and Remote Sensing D. Shen & Y. Sheng https://doi.org/10.1109/LGRS.2011.2163812
- Downstream hydraulic geometry relationships: Gathering reference reach-scale width values from LiDAR G. Sofia et al. https://doi.org/10.1016/j.geomorph.2015.09.002
- RETRACTED: Systematic review on gully erosion measurement, modelling and management: Mitigation alternatives and policy recommendations R. Chakrabortty & S. Pal https://doi.org/10.1002/gj.4709
- Monitoring the temporal evolution of a Sicilian badland area by unmanned aerial vehicles V. Palmeri et al. https://doi.org/10.1016/j.geomorph.2024.109443
- Thirty years of studies on badlands, from physical to vegetational approaches. A succinct review F. Gallart et al. https://doi.org/10.1016/j.catena.2012.02.008
- The accuracy of drainage network delineation as a function of environmental factors: A case study in Central and Northern Sweden Y. Yan et al. https://doi.org/10.1002/hyp.13963
- Measuring, modelling and managing gully erosion at large scales: A state of the art M. Vanmaercke et al. https://doi.org/10.1016/j.earscirev.2021.103637
- Objective extraction of channel heads from high-resolution topographic data F. Clubb et al. https://doi.org/10.1002/2013WR015167
- Surface storm flow prediction on hillslopes based on topography and hydrologic connectivity D. Hallema et al. https://doi.org/10.1186/s13717-016-0057-1
- ANADEM: A Digital Terrain Model for South America L. Laipelt et al. https://doi.org/10.3390/rs16132321
- The Importance of Measuring Soil Erosion by Water at the Field Scale: A Review A. Nicosia et al. https://doi.org/10.3390/w16233427
- Response of gully morphology and density to the spatial and rainy-season monthly variation of rainfall at the regional scale of the Chinese Loess Plateau Y. Chen et al. https://doi.org/10.1016/j.catena.2023.107773
- An automatic approach for rill network extraction to measure rill erosion by terrestrial and low‐cost unmanned aerial vehicle photogrammetry C. Di Stefano et al. https://doi.org/10.1002/hyp.13444
- Toward the development of deep learning analyses for snow avalanche releases in mountain regions Y. Chen et al. https://doi.org/10.1080/10106049.2021.1986578
- Remote sensing techniques to assess badlands dynamics: insights from a systematic review R. Colacicco et al. https://doi.org/10.1080/15481603.2025.2516347
- Flow network derivation from a high resolution DEM in a low relief, agrarian landscape W. Schwanghart et al. https://doi.org/10.1002/esp.3452
- Predicting gully occurrence at watershed scale: Comparing topographic indices and multivariate statistical models C. Conoscenti & E. Rotigliano https://doi.org/10.1016/j.geomorph.2020.107123
- Scaling Arctic landscape and permafrost features improves active layer depth modeling W. Hantson et al. https://doi.org/10.1088/2752-664X/ad9f6c
- A spatial stochastic algorithm to reconstruct artificial drainage networks from incomplete network delineations J. Bailly et al. https://doi.org/10.1016/j.jag.2011.06.001
- Combining geomorphometry, feature extraction techniques and Earth-surface processes research: The way forward G. Sofia https://doi.org/10.1016/j.geomorph.2020.107055
- Geomorphometric delineation of floodplains and terraces from objectively defined topographic thresholds F. Clubb et al. https://doi.org/10.5194/esurf-5-369-2017
- Semi-automatic derivation of channel network from a high-resolution DTM: the example of an Italian alpine region M. Cavalli et al. https://doi.org/10.5721/EuJRS20134609
- Pixel-Based Geometric Assessment of Channel Networks/Orders Derived from Global Spaceborne Digital Elevation Models M. Shawky et al. https://doi.org/10.3390/rs11030235
- Generation of realistic synthetic catchments to explore fine continental surface processes R. Bunel et al. https://doi.org/10.1002/esp.5048
- Using kites for 3-D mapping of gullies at decimetre-resolution over several square kilometres: a case study on the Kamech catchment, Tunisia D. Feurer et al. https://doi.org/10.5194/nhess-18-1567-2018
- A spatio-contextual probabilistic model for extracting linear features in hilly terrains from high-resolution DEM data X. Zhou et al. https://doi.org/10.1080/13658816.2018.1554814
- Squeezing Data from a Rock: Machine Learning for Martian Science T. Nagle-McNaughton et al. https://doi.org/10.3390/geosciences12060248
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- Climatic Vulnerability of El Mirador de Lambayeque Archaeological Complex (8th–11th Century AD): Morphometric Analyses of Digital Surface Models L. Magnini et al. https://doi.org/10.3390/rs17091544
- Measurement of Water Soil Erosion at Sparacia Experimental Area (Southern Italy): A Summary of More than Twenty Years of Scientific Activity V. Pampalone et al. https://doi.org/10.3390/w14121881
- Geo-environmental factors controlling gully distribution at the local scale in a Mediterranean environment B. Martins et al. https://doi.org/10.1016/j.catena.2023.107712
- Multichannel rivers: their definition and classification P. Carling et al. https://doi.org/10.1002/esp.3419
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