59 citations as recorded by crossref.

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3. Setting Diverging Colors for a Large-Scale Hypsometric Lunar Map Based on Entropy X. Zeng et al. 10.3390/e17075133
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5. High-resolution topography for understanding Earth surface processes: Opportunities and challenges P. Tarolli 10.1016/j.geomorph.2014.03.008
6. Flood Defense Standard Estimation Using Machine Learning and Its Representation in Large‐Scale Flood Hazard Modeling G. Zhao et al. 10.1029/2022WR032395
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8. Extraction of connected river networks from multi-temporal remote sensing imagery using a path tracking technique H. Chen et al. 10.1016/j.rse.2020.111868
9. Automated Extraction and Mapping for Desert Wadis from Landsat Imagery in Arid West Asia Y. Liu et al. 10.3390/rs8030246
10. The Definition of Perennial Streams Based on a Wet Channel Network Extracted from LiDAR Data S. Kim et al. 10.3390/app13020704
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12. The accuracy of drainage network delineation as a function of environmental factors: A case study in Central and Northern Sweden Y. Yan et al. 10.1002/hyp.13963
13. Recognition of surface flow processes influenced by roads and trails in mountain areas using high-resolution topography P. Tarolli et al. 10.5721/EuJRS20134610
14. GIS tools for preliminary debris-flow assessment at regional scale M. Cavalli et al. 10.1007/s11629-017-4573-y
15. Surface texture analysis of a high-resolution DTM: Interpreting an alpine basin S. Trevisani et al. 10.1016/j.geomorph.2012.03.031
16. Wet channel network extraction by integrating LiDAR intensity and elevation data M. Hooshyar et al. 10.1002/2015WR018021
17. Valley and channel networks extraction based on local topographic curvature andk-means clustering of contours M. Hooshyar et al. 10.1002/2015WR018479
18. Managing nonperennial headwater streams in temperate forests of the United States S. Kampf et al. 10.1016/j.foreco.2021.119523
19. A deep learning-based method for mapping alpine intermittent rivers and ephemeral streams of the Tibetan Plateau from Sentinel-1 time series and DEMs J. Fei et al. 10.1016/j.rse.2022.113271
20. A New Automated Method for Improved Flood Defense Representation in Large‐Scale Hydraulic Models O. Wing et al. 10.1029/2019WR025957
21. Tracking geomorphic signatures of watershed suburbanization with multitemporal LiDAR D. Jones et al. 10.1016/j.geomorph.2014.04.038
22. Semi-automatic derivation of channel network from a high-resolution DTM: the example of an Italian alpine region M. Cavalli et al. 10.5721/EuJRS20134609
23. Monitoring sediment source areas in a debris-flow catchment using terrestrial laser scanning G. Blasone et al. 10.1016/j.catena.2014.07.001
24. Farm drainage channel network optimization by improved modified minimal spanning tree M. Ashrafi et al. 10.1016/j.agwat.2015.07.006
25. GeoNet: An open source software for the automatic and objective extraction of channel heads, channel network, and channel morphology from high resolution topography data H. Sangireddy et al. 10.1016/j.envsoft.2016.04.026
26. Field study on drainage densities and rescaled width functions in a high‐altitude alpine catchment R. Mutzner et al. 10.1002/hyp.10783
27. Integrated Low-Cost Approach for Measuring the State of Conservation of Agricultural Terraces in Tuscany, Italy M. Cambi et al. 10.3390/w13020113
28. Recognition of large scale deep-seated landslides in forest areas of Taiwan using high resolution topography C. Lin et al. 10.1016/j.jseaes.2012.10.022
29. Controls on Zero‐Order Basin Morphology S. Grieve et al. 10.1029/2017JF004453
30. Vineyards in Terraced Landscapes: New Opportunities from Lidar Data P. Tarolli et al. 10.1002/ldr.2311
31. Downstream hydraulic geometry relationships: Gathering reference reach-scale width values from LiDAR G. Sofia et al. 10.1016/j.geomorph.2015.09.002
32. Analyzing high resolution topography for advancing the understanding of mass and energy transfer through landscapes: A review P. Passalacqua et al. 10.1016/j.earscirev.2015.05.012
33. Spatial variation of channel head curvature in small mountainous watersheds J. Wu et al. 10.2166/nh.2019.036
34. Morphological Similarity of Channels: From Linear Erosional Features (Rill, Gully) to Alpine Rivers G. Sofia et al. 10.1002/ldr.2703
35. 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. 10.1002/hyp.13444
36. Detecting and Characterizing Active Thrust Fault and Deep-Seated Landslides in Dense Forest Areas of Southern Taiwan Using Airborne LiDAR DEM R. Chen et al. 10.3390/rs71115443
37. High-resolution morphologic characterization of conservation agriculture P. Tarolli et al. 10.1016/j.catena.2018.08.026
38. Headwater streams and inland wetlands: Status and advancements of geospatial datasets and maps across the United States J. Christensen et al. 10.1016/j.earscirev.2022.104230
39. Measuring rill erosion by laser scanning A. Vinci et al. 10.1016/j.catena.2014.09.003
40. The Influence of Spatial Variability of Width Functions on Regional Peak Flow Regressions G. Perez et al. 10.1029/2018WR023509
41. High‐resolution mapping of Manawatu palaeochannels G. Lo Re et al. 10.1111/nzg.12186
42. A Robust Channel Head Extraction Method Based on High‐Resolution Topographic Convergence, Suitable for Both Slowly and Fastly Eroding Landscapes A. Lurin et al. 10.1029/2022JF006999
43. State of the Art of Ground and Aerial Laser Scanning Technologies for High-Resolution Topography of the Earth Surface F. Pirotti et al. 10.5721/EuJRS20134605
44. Objective extraction of channel heads from high-resolution topographic data F. Clubb et al. 10.1002/2013WR015167
45. Flow network derivation from a high resolution DEM in a low relief, agrarian landscape W. Schwanghart et al. 10.1002/esp.3452
46. A new method of drainage network extraction using SAR radar images: a case study of Djanet (Algeria) Z. Nougrara & K. Hachemi 10.1080/16583655.2021.2018816
47. Evaluating the Slope‐Area Method to Accurately Identify Stream Channel Heads in Three Physiographic Regions B. Avcioglu et al. 10.1111/1752-1688.12512
48. Multiscale wavelet-based analysis to detect hidden geodiversity M. Năpăruş-Aljančič et al. 10.1177/0309133317720835
49. Floods and rivers: a circular causality perspective G. Sofia & E. Nikolopoulos 10.1038/s41598-020-61533-x
50. Combining geomorphometry, feature extraction techniques and Earth-surface processes research: The way forward G. Sofia 10.1016/j.geomorph.2020.107055
51. Testing the utility of structure‐from‐motion photogrammetry reconstructions using small unmanned aerial vehicles and ground photography to estimate the extent of upland soil erosion M. Glendell et al. 10.1002/esp.4142
52. Rainfall–Runoff Simulations to Assess the Potential of SuDS for Mitigating Flooding in Highly Urbanized Catchments D. Jato-Espino et al. 10.3390/ijerph13010149
53. Characterizing tufa barrages in relation to channel bed morphology in a small karstic river by airborne LiDAR topo-bathymetry J. Profe et al. 10.1016/j.pgeola.2016.10.004
54. Extracting drainage networks and their connectivity using LiDAR data J. Roelens et al. 10.1002/hyp.11472
55. Geomorphic signatures on Brutsaert base flow recession analysis R. Mutzner et al. 10.1002/wrcr.20417
56. A new landscape metric for the identification of terraced sites: The Slope Local Length of Auto-Correlation (SLLAC) G. Sofia et al. 10.1016/j.isprsjprs.2014.06.018
57. A River Channel Extraction Method for Urban Environments Based on Terrain Transition Lines L. Qin et al. 10.1029/2018WR023095
58. Assessment of energy potential from wetland plants along the minor channel network on an agricultural floodplain S. Pappalardo et al. 10.1007/s11356-014-3105-3
59. Catchworks: A Historical Water-Distribution System on Mountain Meadows in Central Slovakia M. Slámová et al. 10.3390/su13031107