98 citations as recorded by crossref.

1. Effects of vertical accuracy of digital elevation model (DEM) data on automatic lineaments extraction from shaded DEM A. Soliman & L. Han https://doi.org/10.1016/j.asr.2019.05.009
2. The SAVEMEDCOASTS-2 webGIS: The Online Platform for Relative Sea Level Rise and Storm Surge Scenarios up to 2100 for the Mediterranean Coasts A. Falciano et al. https://doi.org/10.3390/jmse11112071
3. Stratified AGB inversion driven by DGTHI: quantifying topographic controls on biomass prediction across tree species Y. Zhu et al. https://doi.org/10.1007/s44212-026-00103-4
4. Precision mapping of boundaries of flood plain river basins using high-resolution satellite imagery: A case study of the Varuna river basin in Uttar Pradesh, India M. Mishra et al. https://doi.org/10.1007/s12040-019-1146-1
5. Accuracy validation and bias assessment for various multi-sensor open-source DEMs in part of the Karakoram region A. Kumar et al. https://doi.org/10.1080/2150704X.2020.1792001
6. Evaluation of multiple digital elevation models for hypsometric analysis in the watersheds affected by the opening of the Red Sea M. Khattab et al. https://doi.org/10.1016/j.ejrs.2023.11.011
7. The Effects of Sedimentation Rates on Growth and Interaction of Normal Faults: New Insights From Physical Modelling G. Liu et al. https://doi.org/10.1002/gj.70313
8. Geomorphic expression of a tectonically active rift-transfer zone in southern Ethiopia A. Erbello et al. https://doi.org/10.1016/j.geomorph.2022.108162
9. Evaluation of high‐resolution DEMs from satellite imagery for geomorphic applications: A case study using the SETSM algorithm A. Atwood & A. West https://doi.org/10.1002/esp.5263
10. Investigating the Impact of Digital Elevation Models on Sentinel-1 Backscatter and Coherence Observations I. Borlaf-Mena et al. https://doi.org/10.3390/rs12183016
11. Improving the Accuracy of Global DEM of Differences (DoD) in Google Earth Engine for 3-D Change Detection Analysis A. Capolupo https://doi.org/10.1109/JSTARS.2021.3130063
12. A Relief Dependent Evaluation of Digital Elevation Models on Different Scales for Northern Chile T. Kramm & D. Hoffmeister https://doi.org/10.3390/ijgi8100430
13. Towards quantifying the relative tectonic activity in the Trans-Yamuna segment of NW Himalaya S. Ghosh et al. https://doi.org/10.1080/10106049.2022.2155712
14. Image Texture as Quality Indicator for Optical DEM Generation: Geomorphic Applications in the Arid Central Andes B. Purinton et al. https://doi.org/10.3390/rs15010085
15. TanDEM-X DEM: Comparative performance review employing LIDAR data and DSMs D. Vassilaki & A. Stamos https://doi.org/10.1016/j.isprsjprs.2019.11.015
16. Performance Assessment of TanDEM-X DEM for Mountain Glacier Elevation Change Detection J. Podgórski et al. https://doi.org/10.3390/rs11020187
17. Validation of Recent DSM/DEM/DBMs in Test Areas in Greece Using Spirit Leveling, GNSS, Gravity and Echo Sounding Measurements V. Grigoriadis et al. https://doi.org/10.3390/ijgi12030099
18. GlacierNet: A Deep-Learning Approach for Debris-Covered Glacier Mapping Z. Xie et al. https://doi.org/10.1109/ACCESS.2020.2991187
19. Controls on Zero‐Order Basin Morphology S. Grieve et al. https://doi.org/10.1029/2017JF004453
20. Geomorphometry today I. Florinsky https://doi.org/10.35595/2414-9179-2021-2-27-394-448
21. 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
22. Spatial patterns of volcanism between adjacent rift segments V. Armeni et al. https://doi.org/10.1016/j.epsl.2025.119623
23. Estimating the Pre-Historical Volcanic Eruption in the Hantangang River Volcanic Field: Experimental and Simulation Study W. Hakim et al. https://doi.org/10.3390/rs14040894
24. Mid‐Pleistocene to Recent Crustal Extension in the Inner Graben of the Northern Kenya Rift S. Riedl et al. https://doi.org/10.1029/2021GC010123
25. Tracking Downstream Variability in Large Grain‐Size Distributions in the South‐Central Andes B. Purinton & B. Bookhagen https://doi.org/10.1029/2021JF006260
26. Multi-Baseline InSAR DEM Reconstruction and Multi-Source Performance Evaluation Based on the PIESAT-1 “Wheel” Constellation S. Qiao et al. https://doi.org/10.3390/rs18071101
27. Quantitative analysis of hillshed geomorphology and critical zone function: Raising the hillshed to watershed status Z. Brecheisen et al. https://doi.org/10.1130/B35724.1
28. Determining hydrological regimes in an agriculturally used tropical inland valley wetland in Central Uganda using soil moisture, groundwater, and digital elevation data G. Gabiri et al. https://doi.org/10.1002/hyp.11417
29. Comparative geospatial and statistical analysis of DEM-derived geomorphic indices from multiple datasets for assessing relative active tectonics A. Gad et al. https://doi.org/10.1080/19475705.2025.2500992
30. Exploring C and L band InSAR digital elevation model stacking: A case study in Córdoba, Argentina F. Ibarra et al. https://doi.org/10.1016/j.jsames.2024.105006
31. From features to fingerprints: A general diagnostic framework for anthropogenic geomorphology P. Tarolli et al. https://doi.org/10.1177/0309133318825284
32. Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City P. Misra et al. https://doi.org/10.3390/rs10122008
33. Evaluation of ASTER GDEM2, SRTMv3.0, ALOS AW3D30 and TanDEM-X DEMs for the Peruvian Andes against highly accurate GNSS ground control points and geomorphological-hydrological metrics M. González-Moradas & W. Viveen https://doi.org/10.1016/j.rse.2019.111509
34. The Bathurst Mining Camp, New Brunswick: data integration, geophysical modelling, and implications for exploration H. Ugalde et al. https://doi.org/10.1139/cjes-2018-0048
35. UAV-Derived Himalayan Topography: Hazard Assessments and Comparison with Global DEM Products C. Watson et al. https://doi.org/10.3390/drones3010018
36. Spatio-temporal variability in stream power distribution in the Upper Kosi River basin, Central Himalaya: Controls and geomorphic implications R. Kaushal et al. https://doi.org/10.1016/j.geomorph.2019.106888
37. 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
38. Evaluation of vertical accuracy of open access DEMs across different physiographic regions and river basins of Nepal S. Karki et al. https://doi.org/10.1007/s12145-023-01114-4
39. Temporal profiling of uplift rate along an active fault using river long profile in the Kuchchh region, Western India . Sonam et al. https://doi.org/10.1016/j.quaint.2020.11.022
40. LiDAR point cloud and ICESat‐2 evaluation of 1 second global digital elevation models: Copernicus wins P. Guth & T. Geoffroy https://doi.org/10.1111/tgis.12825
41. Land-surface parameters for spatial predictive mapping and modeling A. Maxwell & C. Shobe https://doi.org/10.1016/j.earscirev.2022.103944
42. A Methodology for Identifying Coastal Cultural Heritage Assets Exposed to Future Sea Level Rise Scenarios S. Chalkidou et al. https://doi.org/10.3390/app14167210
43. Process inference from topographic fractal characteristics in the tectonically active Northwest Himalaya, India R. Sahoo et al. https://doi.org/10.1002/esp.4984
44. Hydrological Response of the Wami–Ruvu Basin to Land-Use and Land-Cover Changes and Its Impacts for the Future J. Ngondo et al. https://doi.org/10.3390/w14020184
45. Determining the optimal grid resolution for topographic analysis on an airborne lidar dataset T. Smith et al. https://doi.org/10.5194/esurf-7-475-2019
46. Measuring decadal vertical land-level changes from SRTM-C (2000) and TanDEM-X ( ∼ 2015) in the south-central Andes B. Purinton & B. Bookhagen https://doi.org/10.5194/esurf-6-971-2018
47. Cast shadows reveal changes in glacier surface elevation M. Pfau et al. https://doi.org/10.5194/tc-17-3535-2023
48. Retrieval of High-Resolution Vegetation Optical Depth from Sentinel-1 Data over a Grassland Region in the Heihe River Basin Z. Zhou et al. https://doi.org/10.3390/rs14215468
49. Global DEMs vary from one to another: an evaluation of newly released Copernicus, NASA and AW3D30 DEM on selected terrains of China using ICESat-2 altimetry data H. Li et al. https://doi.org/10.1080/17538947.2022.2094002
50. Geometric accuracy improvement of WorldView‐2 imagery using freely available DEM data M. Gašparović et al. https://doi.org/10.1111/phor.12292
51. Spatio-Temporal Evolution of Glacial Lakes in the Tibetan Plateau over the Past 30 Years X. Dou et al. https://doi.org/10.3390/rs15020416
52. Capturing the level of progress in vertical accuracy achieved by ASTER GDEM since the beginning: Turkish and Nigerian examples A. Altunel et al. https://doi.org/10.1080/10106049.2022.2063409
53. Beyond Vertical Point Accuracy: Assessing Inter-pixel Consistency in 30 m Global DEMs for the Arid Central Andes B. Purinton & B. Bookhagen https://doi.org/10.3389/feart.2021.758606
54. Application of “OTSU”—an image segmentation method for differentiation of snow and ice regions of glaciers and assessment of mass budget in Chandra basin, Western Himalaya using Remote Sensing and GIS techniques V. Gaddam et al. https://doi.org/10.1007/s10661-022-09945-2
55. Investigation of the use of topographic data derived from Pléiades imagery for high-resolution hillslope-scale morphometry V. Pellegrino et al. https://doi.org/10.1016/j.geomorph.2024.109162
56. Comparative accuracy of the AW3D30 DSM, ASTER GDEM, and SRTM1 DEM: A case study on the Zaoksky testing ground, Central European Russia I. Florinsky et al. https://doi.org/10.1080/2150704X.2018.1468098
57. Global Digital Elevation Model Comparison Criteria: An Evident Need to Consider Their Application C. López-Vázquez & F. Ariza-López https://doi.org/10.3390/ijgi12080337
58. Global digital elevation models for terrain morphology analysis in mountain environments: insights on Copernicus GLO-30 and ALOS AW3D30 for a large Alpine area S. Trevisani et al. https://doi.org/10.1007/s12665-023-10882-7
59. Comparison and Validation of Satellite-Derived Digital Surface/Elevation Models over India R. Goyal et al. https://doi.org/10.1007/s12524-020-01273-7
60. A performance comparison of SRTM v. 3.0, AW3D30, ASTER GDEM3, Copernicus and TanDEM-X for tectonogeomorphic analysis in the South American Andes M. del Rosario González-Moradas et al. https://doi.org/10.1016/j.catena.2023.107160
61. Evaluating the Vertical Accuracy of DEM Generated from ZiYuan-3 Stereo Images in Understanding the Tectonic Morphology of the Qianhe Basin, China Z. Liu et al. https://doi.org/10.3390/rs13061203
62. Which DEM is best for analyzing fluvial landscape development in mountainous terrains? S. Boulton & M. Stokes https://doi.org/10.1016/j.geomorph.2018.03.002
63. Mobility of South America’s transcontinental drainage divide and shrinkage of the Paraná river basin linked to lithologic and geodynamic controls C. Crelier et al. https://doi.org/10.1038/s41598-025-87470-1
64. Quality assessment of DEM derived from topographic maps for geomorphometric purposes B. Szypuła https://doi.org/10.1515/geo-2019-0066
65. Large-Scale Hydromorphological Characteristics Of The Proglacial River Katun (Ob Headwaters) F. Seidl et al. https://doi.org/10.24057/2071-9388-2022-022
66. Accuracy assessment of the global TanDEM-X digital elevation model in a mountain environment K. Gdulová et al. https://doi.org/10.1016/j.rse.2020.111724
67. Comparison of ASTER GDEM3, SRTM3, NASADEM, TanDEM-X90, AW3D30, and ALOS PALSAR data with TanDEM-X12: a case study of Tagragra of Akka inlier, Moroccan Anti-Atlas Z. Adiri et al. https://doi.org/10.1007/s12517-022-10885-x
68. Decadal-scale assessment of sediment denudation rates in the Zhoukou River Basin, Taiwan: insights from improved DEMs of differencing based on spectral analysis G. Kumar et al. https://doi.org/10.1080/19475705.2024.2363428
69. Quantitative characterization of geomorphological and topographical features of debris-flow channels at the Alpe di Succiso mountain, Northern Apennines (Italy) M. Rashid et al. https://doi.org/10.1080/17445647.2024.2422549
70. An assessment of the effects of DEM quality and spatial resolution on a model for mapping lahar inundation areas at volcán Copahue (Argentina & Chile) S. Viotto et al. https://doi.org/10.1016/j.jsames.2022.104138
71. Multiband (X, C, L) radar amplitude analysis for a mixed sand- and gravel-bed river in the eastern Central Andes B. Purinton & B. Bookhagen https://doi.org/10.1016/j.rse.2020.111799
72. A modular toolkit for block-based spatially explicit spectral analysis of digital elevation models R. Feciskanin https://doi.org/10.1016/j.cageo.2026.106216
73. Assessment of vertical accuracy of open source 30m resolution space-borne digital elevation models R. Talchabhadel et al. https://doi.org/10.1080/19475705.2021.1910575
74. Comparative Validation and Misclassification Diagnosis of 30-Meter Land Cover Datasets in China X. Xu et al. https://doi.org/10.3390/rs16224330
75. Is higher resolution always better? A comparison of open-access DEMs for optimized slope unit delineation and regional landslide prediction M. Ahmed et al. https://doi.org/10.5194/nhess-25-2519-2025
76. Bumps in river profiles: uncertainty assessment and smoothing using quantile regression techniques W. Schwanghart & D. Scherler https://doi.org/10.5194/esurf-5-821-2017
77. Analysing DEM errors over an urban region across various scales with different elevation sources A. Breytenbach & A. Van Niekerk https://doi.org/10.1080/03736245.2019.1648312
78. Factors Controlling Contemporary Suspended Sediment Yield in the Caucasus Region V. Golosov & A. Tsyplenkov https://doi.org/10.3390/w13223173
79. VALIDATION OF THE DIGITAL ELEVATION MODEL (SRTM) WITH GNSS SURVEYING APPLIED TO THE MIRIM LAGOON HYDROGRAPHIC BASIN P. Scalco et al. https://doi.org/10.1590/s1982-21702018000300026
80. Influence of digital elevation models on the simulation of rainfall-induced landslides in the hillslopes of Guwahati, India C. Sarma et al. https://doi.org/10.1016/j.enggeo.2020.105523
81. Ranking of 10 Global One-Arc-Second DEMs Reveals Limitations in Terrain Morphology Representation P. Guth et al. https://doi.org/10.3390/rs16173273
82. Tracking slow-moving landslides with PlanetScope data: new perspectives on the satellite's perspective A. Mueting & B. Bookhagen https://doi.org/10.5194/esurf-12-1121-2024
83. Natural Heritage Reconstruction Using Full-Color 3D Printing: A Case Study of the Valley of Five Polish Ponds J. Wabiński & A. Mościcka https://doi.org/10.3390/su11215907
84. Combining geomorphometry, feature extraction techniques and Earth-surface processes research: The way forward G. Sofia https://doi.org/10.1016/j.geomorph.2020.107055
85. Statistical and visual quality assessment of nearly-global and continental digital elevation models of Trentino, Italy I. Florinsky et al. https://doi.org/10.1080/2150704X.2019.1602790
86. A mutual assessment of the uncertainties of digital elevation models using the triple collocation technique C. Yakubu et al. https://doi.org/10.1080/01431161.2019.1579388
87. Geomorphic characterization of a seasonal river network in semi-arid western India using the River Styles Framework . Sonam et al. https://doi.org/10.1016/j.jaesx.2021.100077
88. Leading Progress in Digital Terrain Analysis and Modeling G. Sofia et al. https://doi.org/10.3390/ijgi8090372
89. The use of the slope–area function to analyse process domains in complex badland landscapes F. Vergari et al. https://doi.org/10.1002/esp.4496
90. Uncertainty in Catchment Delineations as a Result of Digital Elevation Model Choice L. Keys & J. Baade https://doi.org/10.3390/hydrology6010013
91. Evaluation of vertical accuracy of different digital elevation models sources for Buraydah city R. Abdel-Maguid https://doi.org/10.1007/s12518-021-00398-9
92. Multi-Index Image Differencing Method (MINDED) for Flood Extent Estimations E. Oliveira et al. https://doi.org/10.3390/rs11111305
93. Identification of Debris‐Flow Channels Using High‐Resolution Topographic Data: A Case Study in the Quebrada del Toro, NW Argentina A. Mueting et al. https://doi.org/10.1029/2021JF006330
94. Accuracy Assessment of Different Digital Surface Models U. Alganci et al. https://doi.org/10.3390/ijgi7030114
95. Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces A. Lausch et al. https://doi.org/10.3390/rs12223690
96. Accuracy Assessment of Alos W3d30, Aster Gdem and Srtm30 Dem: A Case Study of Nigeria, West Africa O. Apeh et al. https://doi.org/10.4236/jgis.2019.112009
97. Landslide susceptibility mapping in the Loess Plateau of northwest China using three data-driven techniques-a case study from middle Yellow River catchment Z. Guo et al. https://doi.org/10.3389/feart.2022.1033085
98. Shaping the Global High-Resolution TanDEM-X Digital Elevation Model M. Huber et al. https://doi.org/10.1109/JSTARS.2021.3095178