Generation of High Resolution Global DSM from ALOS PRISM

156 citations as recorded by crossref.

1. 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
2. Error Characteristics of Pan-Arctic Digital Elevation Models and Elevation Derivatives in Northern Sweden M. Karlson et al. https://doi.org/10.3390/rs13224653
3. A Comparison of Multiple DEMs and Satellite Altimetric Data in Lake Volume Monitoring C. Yuan et al. https://doi.org/10.3390/rs16060974
4. Flood susceptibility mapping contributes to disaster risk reduction: A case study in Sindh, Pakistan S. Shah & S. Ai https://doi.org/10.1016/j.ijdrr.2024.104503
5. Development of a Clear‐Sky 3D Sub‐Grid Terrain Solar Radiative Effect Parameterization Scheme Based on the Mountain Radiation Theory A. Huang et al. https://doi.org/10.1029/2022JD036449
6. A regional map of mangrove extent for Myanmar, Thailand, and Cambodia shows losses of 44% by 1996 P. Baltezar et al. https://doi.org/10.3389/fmars.2023.1127720
7. Soil Moisture Prediction from Remote Sensing Images Coupled with Climate, Soil Texture and Topography via Deep Learning M. Celik et al. https://doi.org/10.3390/rs14215584
8. A Variational Mode Snake-Optimized Neural Network Prediction Model for Agricultural Land Subsidence Monitoring Based on Temporal InSAR Remote Sensing Z. Wang et al. https://doi.org/10.3390/pr13113480
9. Relationship of bioclimatic and topographic variation on species-biomass distribution in tropical forest reserve P. Pandey https://doi.org/10.1007/s42965-024-00356-7
10. Coupled mesoscale–microscale modeling of air quality in a polluted city using WRF-LES-Chem Y. Wang et al. https://doi.org/10.5194/acp-23-5905-2023
11. Challenges of relief modeling in flat areas: a case study in the Amazon coast floodplains L. Reis & L. Polidori https://doi.org/10.1590/s1982-21702024000100009
12. Shallow segment rupture associated with the 2025 Kamchatka earthquake inferred from ALOS-2/PALSAR-2 InSAR Y. Himematsu & H. Munekane https://doi.org/10.1186/s40623-026-02437-4
13. 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
14. A research on the relationship between landslide area changes and environmental factors in the southern Tibetan plateau W. Xu et al. https://doi.org/10.3389/feart.2024.1403888
15. High-resolution mapping of losses and gains of Earth’s tidal wetlands N. Murray et al. https://doi.org/10.1126/science.abm9583
16. Monitoring Indian ungauged small reservoirs volume from remote sensing: Feasibility, bias and perspectives C. Pascal et al. https://doi.org/10.1371/journal.pwat.0000260
17. Evaluation of space derived open-source digital elevation models over Kenya C. Nyoka et al. https://doi.org/10.1007/s12145-025-02070-x
18. Integrating Copernicus Satellite Products and Ground-Truthing for Documenting and Monitoring the Impact of the 2022 Extreme Floods in Pakistan on Cultural Heritage M. Khan et al. https://doi.org/10.3390/rs15102518
19. Application of the DRASTIC Model to Assess the Vulnerability of Groundwater Contamination Near Zaporizhzhia Nuclear Power Plant, Ukraine E. Slessarev et al. https://doi.org/10.1021/acsestwater.4c00891
20. Analysis of geo-morphometric and topo-hydrological indices using COP-DEM: a case study of Betwa River Basin, Central India V. Gaurav Singh & S. Singh https://doi.org/10.1080/24749508.2022.2097376
21. Filling and drainage of a subglacial lake beneath the Flade Isblink ice cap, northeast Greenland Q. Liang et al. https://doi.org/10.5194/tc-16-2671-2022
22. The impact of inhomogeneous emissions and topography on ozone photochemistry in the vicinity of Hong Kong Island Y. Wang et al. https://doi.org/10.5194/acp-21-3531-2021
23. A review of remote sensing-based water quality monitoring in turbid coastal waters Z. Wu et al. https://doi.org/10.1007/s44295-025-00075-2
24. Estimation of Variance and Spatial Correlation Width for Fine-Scale Measurement Error in Digital Elevation Model M. Uss et al. https://doi.org/10.1109/TGRS.2019.2951178
25. On the vertical accuracy of the ALOS world 3D-30m digital elevation model B. Caglar et al. https://doi.org/10.1080/2150704X.2018.1453174
26. Lake volume variation in the endorheic basin of the Tibetan Plateau from 1989 to 2019 J. Wang et al. https://doi.org/10.1038/s41597-022-01711-w
27. Variable controlling factors lead to contrasting patterns of volcanism in the Changbaishan volcanic area (Tianchi-Longgang), China-North Korea: Insights from morphometry and spatial-temporal analyses R. Zhang et al. https://doi.org/10.1016/j.jvolgeores.2024.108116
28. Correction of global digital elevation models in forested areas using an artificial neural network-based method with the consideration of spatial autocorrelation Y. Li et al. https://doi.org/10.1080/17538947.2023.2203953
29. Assessment of open-source and proprietary generated digital elevation models and building footprints for urban flood modelling in Cartagena De Indias, Colombia A. Masud et al. https://doi.org/10.1080/10106049.2026.2681279
30. Assessing Hydro-climatological Variability and Land Use Characteristics of the Headwater Basins of the Indian Himalayan Region K. Rautela et al. https://doi.org/10.1007/s41748-025-00662-7
31. Frugivore distributions are associated with plant dispersal syndrome diversity in the Caribbean archipelagos S. Kim et al. https://doi.org/10.1111/ddi.13503
32. Monitoring the annual dynamics of mangrove forests in the Guangxi Beibu Gulf of China from 2000 to 2023 via the SNIC-RF algorithm using the GEE platform X. Zhijie et al. https://doi.org/10.1080/17538947.2025.2558920
33. Research on Landsat 8 land surface temperature retrieval and spatial–temporal migration capabilities based on random forest model W. Zhang et al. https://doi.org/10.1016/j.asr.2024.04.007
34. Future global streamflow declines are probably more severe than previously estimated Y. Zhang et al. https://doi.org/10.1038/s44221-023-00030-7
35. Restoring steppe landscapes: patterns, drivers and implications in Russia’s steppes R. Pazur et al. https://doi.org/10.1007/s10980-020-01174-7
36. Assessment of snow cover mapping algorithms from Landsat surface reflectance data and application to automated snowline delineation X. Xiao & S. Liang https://doi.org/10.1016/j.rse.2024.114163
37. DSM Extraction Based on Gaofen-6 Satellite High-Resolution Cross-Track Images with Wide Field of View S. Yin et al. https://doi.org/10.3390/s23073497
38. An investigation into longitudinal forms of gullies within the “Grand Canyon” of Bengal, Eastern India P. Patel et al. https://doi.org/10.1111/tgis.12828
39. Comparison of digital elevation models through the analysis of geomorphic surface remnants in the Desatoya Mountains, Nevada B. Dobre et al. https://doi.org/10.1111/tgis.12819
40. Measuring global human accessibility to essential daily necessities and services S. Wu et al. https://doi.org/10.1038/s41467-025-65732-w
41. Unveiling deployable rooftop solar potential across Chinese cities M. Shi et al. https://doi.org/10.1038/s44284-025-00270-6
42. Archaeoseismological study of the Cherichira aqueduct bridge, Kairouan, Tunisia K. Hinzen et al. https://doi.org/10.1007/s42990-021-00062-9
43. Prioritization of soil erosion-prone sub-watersheds using geomorphometric and statistical-based weighted sum priority approach in the middle Omo-Gibe River basin, Southern Ethiopia A. Dofee et al. https://doi.org/10.1080/17538947.2024.2350198
44. Summer Nights in Berlin, Germany: Modeling Air Temperature Spatially With Remote Sensing, Crowdsourced Weather Data, and Machine Learning S. Vulova et al. https://doi.org/10.1109/JSTARS.2020.3019696
45. Delineation of management zones dealing with low sampling and outliers C. Silva et al. https://doi.org/10.1007/s11119-024-10218-w
46. TerrainFloodSense: Improving seamless flood mapping with cloudy satellite imagery via water occurrence and terrain data fusion Z. Li et al. https://doi.org/10.1016/j.jag.2025.104855
47. Regional-Scale Systematic Mapping of Archaeological Mounds and Detection of Looting Using COSMO-SkyMed High Resolution DEM and Satellite Imagery D. Tapete et al. https://doi.org/10.3390/rs13163106
48. Estimating Water pH Using Cloud-Based Landsat Images for a New Classification of the Nhecolândia Lakes (Brazilian Pantanal) O. Pereira et al. https://doi.org/10.3390/rs12071090
49. Annual canopy height mapping in Italy from Landsat and multi-source LiDAR for disturbance and recovery monitoring Y. Su et al. https://doi.org/10.1016/j.ecoinf.2026.104036
50. Spatiotemporal Evolution of Slow Slip Events at the Offshore Hikurangi Subduction Zone in 2019 Using GNSS, InSAR, and Seafloor Geodetic Data K. Woods et al. https://doi.org/10.1029/2024JB029068
51. Enhancing the Accuracy of Boresight Calibration with Coplanarity Constraint and Relative Height from DEM R. Guo & Y. Wang https://doi.org/10.3390/rs15092268
52. Google Earth Engine Üzerinde Sentinel-2 Görüntülerinin Arazi Örtüsü Haritalama Doğruluğunun İyileştirilmesi Ç. ŞERİFOĞLU YILMAZ https://doi.org/10.48123/rsgis.1119572
53. Burned vegetation recovery trajectory and its driving factors using satellite remote-sensing datasets in the Great Xing’An forest region of Inner Mongolia Q. Zhang et al. https://doi.org/10.1071/WF21167
54. A creeping intracontinental thrust fault: past and present slip-rates on the Northern edge of the Tien Shan, Kazakhstan D. Mackenzie et al. https://doi.org/10.1093/gji/ggy339
55. Vertical accuracy assessment of global digital elevation models and validation of gravity database heights in Niger S. Ibrahim Yahaya & D. El Azzab https://doi.org/10.1080/01431161.2019.1607982
56. Bamboo phenology and life cycle drive seasonal and long‐term functioning of Amazonian bamboo‐dominated forests B. Fadrique et al. https://doi.org/10.1111/1365-2745.13512
57. VERTICAL ACCURACY ASSESSMENT OF OPEN ACCESS DIGITAL ELEVATION MODELS: BUCARAMANGA-COLOMBIA CASE STUDY J. Aponte Saravia https://doi.org/10.3846/gac.2022.14266
58. Inter-comparison and assessment of digital elevation models for hydrological applications in the Upper Mahi River Basin D. Pandya et al. https://doi.org/10.1007/s12518-023-00547-2
59. Land Surface Modeling in the Himalayas: On the Importance of Evaporative Fluxes for the Water Balance of a High‐Elevation Catchment P. Buri et al. https://doi.org/10.1029/2022WR033841
60. Integrating physical model and image simulations to correct topographic effects on surface reflectance W. Yu et al. https://doi.org/10.1016/j.isprsjprs.2024.04.017
61. Investigation of collision mechanism and energy transfer during rock avalanches failure process Y. Ge et al. https://doi.org/10.1007/s10346-026-02851-5
62. GEDTM30: global ensemble digital terrain model at 30 m and derived multiscale terrain variables Y. Ho et al. https://doi.org/10.7717/peerj.19673
63. Validation of Sentinel-1A and AW3D30 DSMs for the Metropolitan Area of Istanbul, Turkey U. Sefercik et al. https://doi.org/10.1007/s41064-018-0054-3
64. Megathrust locking encoded in subduction landscapes B. Oryan et al. https://doi.org/10.1126/sciadv.adl4286
65. Loess distribution and related Quaternary sediments in the Carpathian Basin F. Lehmkuhl et al. https://doi.org/10.1080/17445647.2018.1526720
66. Loess and other Quaternary sediments in Germany F. Lehmkuhl et al. https://doi.org/10.1080/17445647.2018.1473817
67. Volumetric Analysis of Reservoirs in Drought-Prone Areas Using Remote Sensing Products T. Bhagwat et al. https://doi.org/10.3390/rs11171974
68. An Elevation Ambiguity Resolution Method Based on Segmentation and Reorganization of TomoSAR Point Cloud in 3D Mountain Reconstruction X. Li et al. https://doi.org/10.3390/rs13245118
69. The global pedogenon map: Combining and spatialising the factors of soil formation N. Francos et al. https://doi.org/10.1016/j.geoderma.2025.117462
70. The effects of applying different DEM resolutions, DEM sources and flow tracing algorithms on LS factor and sediment yield estimation using USLE in Barajin river basin (BRB), Iran A. Azizian & S. Koohi https://doi.org/10.1007/s10333-021-00847-6
71. Identification of floodwater source areas in Nepal using SCIMAP‐Flood C. Pearson et al. https://doi.org/10.1111/jfr3.12840
72. Sensitivity assessment of morphometric parameters of monogenetic volcanic landforms with global free DEMs R. Zhang et al. https://doi.org/10.1016/j.geomorph.2022.108408
73. Research method on the retrieval of land surface temperature based on transfer learning with a deep belief network B. Li et al. https://doi.org/10.1080/01431161.2025.2538829
74. Aboveground carbon emissions from gold mining in the Peruvian Amazon O. Csillik & G. Asner https://doi.org/10.1088/1748-9326/ab639c
75. Vertical Accuracy Assessment and Bias Correction of Freely Available Global DEMs L. Jafari et al. https://doi.org/10.3390/atmos17080731
76. The impact of terrain model source and resolution on snow avalanche modeling A. Miller et al. https://doi.org/10.5194/nhess-22-2673-2022
77. Evaluation of Recently Released Open Global Digital Elevation Models of Hubei, China Z. Hu et al. https://doi.org/10.3390/rs9030262
78. Registration and Combined Adjustment for the Laser Altimetry Data and High-Resolution Optical Stereo Images of the GF-7 Satellite J. Chen et al. https://doi.org/10.3390/rs14071666
79. 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
80. Characteristics and mechanisms of soil salinization in humid climate areas C. Wu et al. https://doi.org/10.1016/j.ejrh.2025.102607
81. What drives the rapid water-level recovery of the largest lake (Qinghai Lake) of China over the past half century? C. Fan et al. https://doi.org/10.1016/j.jhydrol.2020.125921
82. Distribution and Storage Characteristics of Soil Organic Carbon in Tidal Wetland of Dandou Sea, Guangxi M. Wang et al. https://doi.org/10.3390/atmos15040431
83. An Automatic Approach to Extracting Large-Scale Three-Dimensional Road Networks Using Open-Source Data Y. Chen et al. https://doi.org/10.3390/rs14225746
84. Improving Mountainous DSM Accuracy Through an Innovative Opposite-Side Radargrammetry Algorithm J. Wang et al. https://doi.org/10.1109/JSTARS.2025.3543430
85. Digital Elevation Models for topographic characterisation and flood flow modelling along low-gradient, terminal dryland rivers: A comparison of spaceborne datasets for the Río Colorado, Bolivia J. Li et al. https://doi.org/10.1016/j.jhydrol.2020.125617
86. Assessing the efficiency of mitigation measures to reduce groundwater depletion and related land subsidence in Querétaro (Central Mexico) from decadal InSAR observations P. Castellazzi et al. https://doi.org/10.1016/j.jag.2021.102632
87. Gravimetric geoid modeling in the northern region of Peninsular Malaysia (NGM17) using KTH method M. Pa’suya et al. https://doi.org/10.1088/1755-1315/169/1/012089
88. Geospatial intelligence framework for BTS infrastructure planning toward universal internet access target in Indonesia A. Sakti et al. https://doi.org/10.1016/j.jag.2024.104274
89. Geospatial Analysis of Horizontal and Vertical Urban Expansion Using Multi-Spatial Resolution Data: A Case Study of Surabaya, Indonesia H. Handayani et al. https://doi.org/10.3390/rs10101599
90. Multidecadal analysis of beach loss at the major offshore sea turtle nesting islands in the northern Arabian Gulf R. Maneja et al. https://doi.org/10.1016/j.ecolind.2020.107146
91. ZY3-02 Laser Altimeter Footprint Geolocation Prediction J. Xie et al. https://doi.org/10.3390/s17102165
92. Evaluating the Vertical Accuracy of Global DEMs Using ICESat-2 and Its Cascading Impact on HAND-Based Flood Modeling in a Low-Gradient Coastal Plain Y. Sun et al. https://doi.org/10.3390/rs18101511
93. Conformity of the NASADEM_HGT and ALOS AW3D30 DEM with the Altitude from the Brazilian Geodetic Reference Stations: A Case Study from Brazilian Cerrado G. Bettiol et al. https://doi.org/10.3390/s21092935
94. Explainable artificial intelligence with negative sample optimization for archaeological site prediction in Surkhandarya Uzbekistan J. Yang et al. https://doi.org/10.1038/s40494-025-02267-9
95. Satellite‑observed recent flow acceleration of glaciers and model‑based environmental associations in Victoria Land, East Antarctica S. Xu et al. https://doi.org/10.1080/17538947.2026.2738329
96. A New Remote Sensing Approach to Enrich Hydropower Dams’ Information and Assess Their Impact Distances: A Case Study in the Mekong River Basin Z. Lin & J. Qi https://doi.org/10.3390/rs11243016
97. Effectiveness of UAV‐based DTM and satellite‐based DEMs for local‐level flood modeling in Jamuna floodplain A. Iqbal et al. https://doi.org/10.1111/jfr3.12937
98. Performance analysis of different predictive models for crop classification across an aridic to ustic area of Indian states G. Shukla et al. https://doi.org/10.1080/10106049.2016.1240721
99. Inaccuracy of relative elevations on uavbased digital elevation models without precise reference information V. Zorina & A. Entin https://doi.org/10.24057/2071-9388-2024-3123
100. How Well can Spaceborne Digital Elevation Models Represent a Man-Made Structure: A Runway Case Study K. Becek et al. https://doi.org/10.3390/geosciences9090387
101. Rupture of the 1949 Khait Earthquake on a Cryptic Fault: Implications for Earthquake Hazard B. Johnson et al. https://doi.org/10.1029/2024TC008777
102. Development and application of space-borne DEM generation H. NAGAI & T. TADONO https://doi.org/10.5331/seppyo.79.1_43
103. Spatio-temporal estimation of electricity consumption in Bolivian municipalities using nighttime lights O. Garbasevschi et al. https://doi.org/10.1080/10106049.2026.2657705
104. Examination of Comparative Advantage of ALOS World 3D Topographic Data for the Analysis of Locational Condition of Agriculture S. UCHIDA https://doi.org/10.4287/jsprs.54.189
105. Global mapping of the landside clustering of aquaculture ponds from dense time-series 10 m Sentinel-2 images on Google Earth Engine Z. Wang et al. https://doi.org/10.1016/j.jag.2022.103100
106. Integration and Visualization of Mineralogical and Topographical Information Derived from ASTER and DEM Data K. Kurata & Y. Yamaguchi https://doi.org/10.3390/rs11020162
107. Research on key factors of satellite laser pointing calibration based on terrain matching: a case of GF-7 satellite C. Xu et al. https://doi.org/10.1080/10106049.2024.2329688
108. Assessment of the Environmental Impact of Placer Mining Using Remote Sensing Data R. Sekrieru & Y. Ozaryan https://doi.org/10.18599/grs.2026.2.17
109. Modeling the 2023 Türkiye Earthquakes and Strain Accumulation Along the East Anatolian Fault Zone: Insights from InSAR, GNSS, and Small-Magnitude Seismicity, with Implications for the Seismic Potential at Rupture Terminations D. Cheloni et al. https://doi.org/10.3390/rs17132270
110. Characterizing the capability of public DEMs for mapping global floodplain bathymetry Y. Lin et al. https://doi.org/10.1016/j.jhydrol.2025.133205
111. Physical controls and ENSO event influence on weathering in the Panama Canal Watershed D. Smith et al. https://doi.org/10.1038/s41598-020-67797-7
112. Cloud-Based Implementation of an Automatic Coverage Estimation Methodology for Self-Organising Network D. Fernandes et al. https://doi.org/10.1109/ACCESS.2020.2986437
113. Glacier shrinkage in the Alps continues unabated as revealed by a new glacier inventory from Sentinel-2 F. Paul et al. https://doi.org/10.5194/essd-12-1805-2020
114. How to evaluate the quality of coarse‐resolution DEM‐derived drainage networks T. Sousa & A. Paz https://doi.org/10.1002/hyp.11262
115. Structural development and stress evolution of an arcuate fold-and-thrust system, southwestern Greater Caucasus, Republic of Georgia A. Tibaldi et al. https://doi.org/10.1016/j.jseaes.2018.01.025
116. LiDAR analyses in the contiguous Mirador-Calakmul Karst Basin, Guatemala: an introduction to new perspectives on regional early Maya socioeconomic and political organization R. Hansen et al. https://doi.org/10.1017/S0956536122000244
117. Dynamic patterns and driving factors of productive cropland in Ukraine before and after Russia-Ukraine conflict Y. Li et al. https://doi.org/10.1016/j.geosus.2025.100401
118. A Relief Dependent Evaluation of Digital Elevation Models on Different Scales for Northern Chile T. Kramm & D. Hoffmeister https://doi.org/10.3390/ijgi8100430
119. Testing the earthquake damage and vulnerability of the Cherichira aqueduct bridge, Kairouan (Tunisia) with discrete element modeling K. Hinzen et al. https://doi.org/10.1007/s42990-022-00093-w
120. Performance evaluation of convolution neural networks in canopy height estimation using sentinel 2 data, application to Thailand T. ElGharbawi et al. https://doi.org/10.1080/01431161.2023.2189035
121. Fire Danger Observed from Space M. Pettinari & E. Chuvieco https://doi.org/10.1007/s10712-020-09610-8
122. Interferometry modeling and model-based height estimation for buildings in urban DSM reconstruction based on interferometric synthetic aperture radar technology D. Zhuang et al. https://doi.org/10.1117/1.JRS.17.034508
123. Geometrical characteristics of earthquake-induced landslides and correlations with control factors: a case study of the 2013 Minxian, Gansu, China, Mw 5.9 event Y. Tian et al. https://doi.org/10.1007/s10346-017-0835-6
124. Beyond the edge: Environmental characteristics of northwestern Eurasian primary forests contrast with surrounding areas M. Martin et al. https://doi.org/10.1002/ecs2.70235
125. Vertical accuracy evaluation of freely available latest high-resolution (30 m) global digital elevation models over Cameroon (Central Africa) with GPS/leveling ground control points. L. Yap et al. https://doi.org/10.1080/17538947.2018.1458163
126. More dynamic than expected: an updated survey of surging glaciers in the Pamir F. Goerlich et al. https://doi.org/10.5194/essd-12-3161-2020
127. Mapping Urban Tree Species by Integrating Canopy Height Model with Multi-Temporal Sentinel-2 Data Y. Yao et al. https://doi.org/10.3390/rs17050790
128. Accuracy assessment of ASTER, SRTM, ALOS, and TDX DEMs for Hispaniola and implications for mapping vulnerability to coastal flooding K. Zhang et al. https://doi.org/10.1016/j.rse.2019.02.028
129. FEATURES OF ECOLOGICAL GEOMORPHOMETRY AS A PROSPECTIVE FIELD OF STUDY, ITS MAIN CONCEPTS AND METHODS A. Mkrtchian https://doi.org/10.30970/gpc.2020.1.3205
130. The Elephant Marsh, Malawi – Part 2: two-dimensional hydrodynamic modelling in support of an eco-social assessment A. Birkhead et al. https://doi.org/10.2989/16085914.2022.2124228
131. Spatial Estimates of Flood Damage and Risk Are Influenced by the Underpinning DEM Resolution: A Case Study in Kuala Lumpur, Malaysia E. Fatdillah et al. https://doi.org/10.3390/w14142208
132. Assessing topographic effects on forest responses to drought with multiple seasonal metrics from Sentinel-2 Y. Sang et al. https://doi.org/10.1016/j.jag.2024.103789
133. 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
134. Depth-Segmented Rupture of a Back-Thrust Fault During the 2022 Hormozgan (Iran) Earthquake Sequence J. Yang et al. https://doi.org/10.3390/rs18132083
135. Determining the best remotely sensed DEM for flood inundation mapping in data sparse regions A. Azizian & L. Brocca https://doi.org/10.1080/01431161.2019.1677968
136. Determination of sensitivity of drainage morphometry towards hydrological response interactions for various datasets A. Jain et al. https://doi.org/10.1007/s10668-020-00652-x
137. Implementation of random forest algorithm for crop mapping across an aridic to ustic area of Indian states G. Shukla et al. https://doi.org/10.1117/1.JRS.11.026005
138. Detection, Morphometric Analysis and Digital Surveying of Archaeological Mounds in Southern Iraq with CartoSat-1 and COSMO-SkyMed DEMs D. Tapete & F. Cigna https://doi.org/10.3390/land11091406
139. A Nationwide Flood Forecasting System for Saudi Arabia: Insights from the Jeddah 2022 Event G. Sofia et al. https://doi.org/10.3390/w16141939
140. 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
141. Reconstructing Lake Storage for the Major Water Bodies in the Aral Sea Basin Using Multi-DEM Hypsometry S. Huang et al. https://doi.org/10.3390/rs18050763
142. Multi-Sensor Analysis of Predicted and Observed Glacier Instabilities in the Hissar–Alay of Central Asia E. Mattea et al. https://doi.org/10.3390/rs18050699
143. 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
144. Uncertainties in Digital Elevation Models from Global Advanced Land Observing Satellite (ALOS) digital topography data in the Indian subcontinent M. Mukul & M. Mukul https://doi.org/10.1007/s12040-020-01523-9
145. Automatic Landform Recognition, Extraction, and Classification using Kernel Pattern Modeling K. Shirani et al. https://doi.org/10.1007/s41651-022-00131-z
146. Assessing density of the lakes in West Siberian Plain basing on the Global Surface Water data O. Sizov & K. Zubkova https://doi.org/10.22389/0016-7126-2018-942-12-8-21
147. A Parcel-Based Deep-Learning Classification to Map Local Climate Zones From Sentinel-2 Images Y. Zhou et al. https://doi.org/10.1109/JSTARS.2021.3071577
148. DEM Generation from Multi Satellite PlanetScope Imagery S. Ghuffar https://doi.org/10.3390/rs10091462
149. Comprehensive vertical accuracy analysis of freely available DEMs for different landscape types of the Rur catchment, Germany T. Kramm & D. Hoffmeister https://doi.org/10.1080/10106049.2021.1984588
150. 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
151. Environmental and Land-Use Changes as a Consequence of Land Reform in the Urej River Catchment (Western Tajikistan) O. Rahmonov et al. https://doi.org/10.3390/resources13040059
152. Problems of spatially distributed quantitative evaluation of soil erosion losses O. Svіtlуchnyi & A. Piatkova https://doi.org/10.26565/2410-7360-2022-56-13
153. Locating flood embankments using SAR time series: A proof of concept M. Wood et al. https://doi.org/10.1016/j.jag.2018.04.003
154. Validation of Space-Wise GOCE Gravitational Gradient Grids Using the Spectral Combination Method and GNSS/Levelling Data M. Pitoňák et al. https://doi.org/10.1007/s10712-022-09762-9
155. Artefact and risk area detection of the tanDEM-X 30m edited DEM using an integrated machine learning and dem-of-difference framework: a case study in the Alps P. Dong et al. https://doi.org/10.1080/17538947.2026.2707690
156. 3-D anatomy of an active fault-propagation fold: A multidisciplinary case study from Tsaishi, western Caucasus (Georgia) A. Tibaldi et al. https://doi.org/10.1016/j.tecto.2017.08.006