Precise Global DEM Generation by ALOS PRISM

366 citations as recorded by crossref.

1. Modelling water use in Nepal’s highlands: a multidisciplinary and probabilistic framework M. Klaar et al. https://doi.org/10.1007/s11629-025-0031-4
2. The Importance of Digital Elevation Model Selection in Flood Simulation and a Proposed Method to Reduce DEM Errors: A Case Study in Shanghai K. Xu et al. https://doi.org/10.1007/s13753-021-00377-z
3. Tropical Forest and Wetland Losses and the Role of Protected Areas in Northwestern Belize, Revealed from Landsat and Machine Learning C. Doyle et al. https://doi.org/10.3390/rs13030379
4. Archaeoseismological study of the Cherichira aqueduct bridge, Kairouan, Tunisia K. Hinzen et al. https://doi.org/10.1007/s42990-021-00062-9
5. An integrated deep learning and object-based image analysis approach for mapping debris-covered glaciers D. Thomas et al. https://doi.org/10.3389/frsen.2023.1161530
6. 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
7. A method for considering the evolution of the visible landscape D. San Martin Saldias & J. McGlade https://doi.org/10.1007/s10109-022-00398-2
8. CNN-based generation of high-accuracy urban distribution maps utilising SAR satellite imagery for short-term change monitoring S. Iino et al. https://doi.org/10.1080/19479832.2018.1491897
9. Automatic monitoring of surface water dynamics using Sentinel-1 and Sentinel-2 data with Google Earth Engine Z. Chen & S. Zhao https://doi.org/10.1016/j.jag.2022.103010
10. Impact of Sediment Deposition on Flood Carrying Capacity of an Alluvial Channel: A Case Study of the Lower Indus Basin A. Mahmood et al. https://doi.org/10.3390/w14203321
11. Development of an Early Warning and Incident Response System for the Protection of Visitors from Natural Hazards in Important Outdoor Sites in Greece C. Psaroudakis et al. https://doi.org/10.3390/su13095143
12. First Alps-wide reconstruction of LGM glacial sediment transport enabled by GPU-accelerated particle tracking T. Leger et al. https://doi.org/10.5194/esurf-14-361-2026
13. Phylogeography and colonization pattern of subendemic round-leaved oxeye daisy from the Dinarides to the Carpathians K. Konowalik https://doi.org/10.1038/s41598-022-19619-1
14. Regional Variability and Driving Forces behind Forest Fires in Sweden R. Cimdins et al. https://doi.org/10.3390/rs14225826
15. 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
16. The Mudui deep-seated debris slide in Sichuan Province, China: Failure mechanism, kinematics, and effects of remedial works based on multidisciplinary data Q. Cheng et al. https://doi.org/10.1007/s10064-025-04145-x
17. A typology of global relief classes derived from digital elevation models at 1 arcsec resolution X. Yang et al. https://doi.org/10.5194/essd-17-4331-2025
18. The role of space-based observation in understanding and responding to active tectonics and earthquakes J. Elliott et al. https://doi.org/10.1038/ncomms13844
19. <i>Lepanthes chalalensis</i> (Pleurothallidinae), a new species endemic to the Santander department in Colombia E. Parra-Sánchez et al. https://doi.org/10.15517/lank.v24i2.56321
20. Modelling Snowmelt Runoff from Tropical Andean Glaciers under Climate Change Scenarios in the Santa River Sub-Basin (Peru) E. Calizaya et al. https://doi.org/10.3390/w13243535
21. Performance comparison among typical open global DEM datasets in the Fenhe River Basin of China S. Zhao et al. https://doi.org/10.1080/22797254.2021.1891577
22. Overview of Earth Observation Satellite Platform Microvibration Detection Methods X. Tang et al. https://doi.org/10.3390/s20030736
23. Performance analysis of open-source DEMs in tsunami inundation modelling D. Tufekci-Enginar et al. https://doi.org/10.1007/s12145-022-00852-1
24. An ECDF-based Method for Generating DEM Training Data Simulating Sub-waterbody Elevation C. Jeong et al. https://doi.org/10.22761/GD.2025.0049
25. Spatio-Temporal Analysis of Valley Wind Systems in the Complex Mountain Topography of the Rolwaling Himal, Nepal H. Jentsch & J. Weidinger https://doi.org/10.3390/atmos13071138
26. Error Characteristics of Pan-Arctic Digital Elevation Models and Elevation Derivatives in Northern Sweden M. Karlson et al. https://doi.org/10.3390/rs13224653
27. A hybrid correlative‐mechanistic approach for modeling winter distributions of North American bat species M. McClure et al. https://doi.org/10.1111/jbi.14130
28. Surface composition of debris-covered glaciers across the Himalaya using linear spectral unmixing of Landsat 8 OLI imagery A. Racoviteanu et al. https://doi.org/10.5194/tc-15-4557-2021
29. Estimation and Evaluation of the FY-3D/MERSI-II Fractional Snow Cover in China J. Huang et al. https://doi.org/10.1109/JSTARS.2024.3517845
30. IMPACT ASSESSMENT OF 2023 CYCLONE MOCHA ON VEGETATION AND FLOOD USING REMOTE SENSING IMAGE ANALYSIS H. NAING THWIN et al. https://doi.org/10.2208/journalofjsce.25-18044
31. Snow Cover Variability in the Greater Alpine Region in the MODIS Era (2000–2019) D. Fugazza et al. https://doi.org/10.3390/rs13152945
32. 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
33. 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
34. Quantifying the impacts of DEM uncertainty on clear-sky surface shortwave radiation estimation in typical mountainous areas Y. Ma et al. https://doi.org/10.1016/j.agrformet.2022.109222
35. Assessing flood severity from crowdsourced social media photos with deep neural networks J. Pereira et al. https://doi.org/10.1007/s11042-020-09196-8
36. Frugivore distributions are associated with plant dispersal syndrome diversity in the Caribbean archipelagos S. Kim et al. https://doi.org/10.1111/ddi.13503
37. Significant Topographic Impacts on Moderate-Resolution Satellite Products: Evidence From Both Geostationary and Polar-Orbiting Satellites and Model Simulations Y. Ma et al. https://doi.org/10.1109/TGRS.2025.3572685
38. 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
39. The Key Reason of False Positive Misclassification for Accurate Large-Area Mangrove Classifications C. Zhao & C. Qin https://doi.org/10.3390/rs13152909
40. Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition N. Neckel et al. https://doi.org/10.1038/s41597-023-02318-5
41. Deconstructing landscape pattern: applications of remote sensing to physiognomic landscape mapping O. Karasov et al. https://doi.org/10.1007/s10708-019-10058-6
42. Human settlement environment and childhood diarrhea in low- and middle-income countries W. Yu et al. https://doi.org/10.1016/j.envres.2025.123103
43. Simulación de avenidas mediante un modelo hidráulico/hidrológico distribuido en un tramo urbano del río Ginel (Fuentes de Ebro) J. Fernández-Pato et al. https://doi.org/10.1080/23863781.2019.1622473
44. Creation of the digital elevation model with the use of unmanned aerial vehicle A. Pavlova et al. https://doi.org/10.26898/0370-8799-2019-3-9
45. Distributed surface mass balance of an avalanche-fed glacier M. Kneib et al. https://doi.org/10.5194/tc-18-5965-2024
46. 3Dana: A path planning algorithm for surface robotics P. Muñoz et al. https://doi.org/10.1016/j.engappai.2017.02.010
47. A flexible framework for built-up height mapping using ICESat-2 photons and multisource satellite observations X. Tang et al. https://doi.org/10.1016/j.rse.2024.114572
48. Impact of spatial resolution on large-scale ice cover modelling of mountainous regions H. Werner et al. https://doi.org/10.5194/tc-20-2469-2026
49. Evaluation of Atmospheric Effects on Interferograms Using DEM Errors of Fixed Ground Points T. Nonaka et al. https://doi.org/10.3390/s18072336
50. Automation of Remote Environmental Monitoring of Mineral Resource Complex Facilities in Khabarovsk Krai S. Smagin et al. https://doi.org/10.15622/ia.24.6.3
51. Impact of Differences in Land Management on Natural Vegetation in Semi-Dry Areas: The Case Study of the Adi Zaboy Watershed in the Kilite Awlaelo District, Eastern Tigray Region, Ethiopia R. Ogawa et al. https://doi.org/10.3390/environments6010002
52. Active tectonics in 4D high-resolution Z. Ren et al. https://doi.org/10.1016/j.jsg.2018.09.015
53. Using Prospective Methods to Identify Fieldwork Locations Favourable to Understanding Divergences in Health Care Accessibility J. Rød et al. https://doi.org/10.3390/ijgi10080506
54. Evaluating spatially enabled machine learning approaches to depth to bedrock mapping, Alberta, Canada S. Pawley et al. https://doi.org/10.1371/journal.pone.0296881
55. Unveiling deployable rooftop solar potential across Chinese cities M. Shi et al. https://doi.org/10.1038/s44284-025-00270-6
56. An overview of vegetation health in the North West Province, South Africa, between 2010 and 2020 J. Cole et al. https://doi.org/10.1088/1755-1315/932/1/012004
57. Brief communication: Glacier mapping and change estimation using very high-resolution declassified Hexagon KH-9 panoramic stereo imagery (1971–1984) S. Ghuffar et al. https://doi.org/10.5194/tc-17-1299-2023
58. The geography of climate migration M. Burzyński et al. https://doi.org/10.1017/dem.2021.6
59. Intercomparison of Automated Near-Real-Time Flood Mapping Algorithms Using Satellite Data and DEM-Based Methods: A Case Study of 2022 Madagascar Flood W. Li et al. https://doi.org/10.3390/hydrology10010017
60. A Relief Dependent Evaluation of Digital Elevation Models on Different Scales for Northern Chile T. Kramm & D. Hoffmeister https://doi.org/10.3390/ijgi8100430
61. Application of unmanned aerial vehicle tilt photography technology in geological hazard investigation in China Z. Zhao et al. https://doi.org/10.1007/s11069-024-06611-3
62. Enhancing 2D hydrodynamic flood model predictions in data-scarce regions through integration of multiple terrain datasets P. Peramuna et al. https://doi.org/10.1016/j.jhydrol.2024.132343
63. A 10-m national-scale map of ground-mounted photovoltaic power stations in China of 2020 Q. Feng et al. https://doi.org/10.1038/s41597-024-02994-x
64. 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
65. Recent global decline in endorheic basin water storages J. Wang et al. https://doi.org/10.1038/s41561-018-0265-7
66. Evolution of sandstone peak‐forest landscapes – insights from quantifying erosional processes with cosmogenic nuclides J. May et al. https://doi.org/10.1002/esp.4273
67. Reconstructing Lake Onego evolution during and after the Late Weichselian glaciation with special reference to water volume and area estimations M. Zobkov et al. https://doi.org/10.1007/s10933-019-00075-3
68. 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
69. Free Global DEMs and Flood Modelling—A Comparison Analysis for the January 2015 Flooding Event in Mocuba City (Mozambique) J. Garrote https://doi.org/10.3390/w14020176
70. Restoration as recovery: participatory urbogeosystemic pedagogy of Karazin University for the Erasmus+ project FutureLand S. Kostrikov & L. Niemets https://doi.org/10.26565/2410-7360-2025-63-18
71. Soil erosion-based sub-watershed prioritization through coupling various crop management and erosivity scenarios using game theory S. Sadeghi et al. https://doi.org/10.1016/j.asr.2024.03.001
72. An advanced check‐dam sedimentation module: Laboratory validation and implementation in a distributed sediment yield model for field application G. Zhang et al. https://doi.org/10.1002/esp.5714
73. Observed and projected declines in glacier albedo across the Third Pole in the 21st century S. Ren et al. https://doi.org/10.1016/j.oneear.2024.08.010
74. A traceability investigation of the 2023 Xinjing open-pit coal mine landslide: remote sensing analysis using spaceborne SAR and optical imagery H. Wu et al. https://doi.org/10.1007/s10346-025-02635-3
75. Sensitivity of Remote Sensing Floodwater Depth Calculation to Boundary Filtering and Digital Elevation Model Selections S. Cohen et al. https://doi.org/10.3390/rs14215313
76. LSTM and Transformer-based framework for bias correction of ERA5 hourly wind speeds F. Houndekindo & T. Ouarda https://doi.org/10.1016/j.energy.2025.136498
77. Evaluation metrics and validation of presence-only species distribution models based on distributional maps with varying coverage K. Konowalik & A. Nosol https://doi.org/10.1038/s41598-020-80062-1
78. 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
79. Space Based Data Usage for Smart Farming S. Sobue et al. https://doi.org/10.1051/bioconf/20238006009
80. Generative Building Feature Estimation From Satellite Images L. He et al. https://doi.org/10.1109/TGRS.2023.3242284
81. DEM Generation from Multi Satellite PlanetScope Imagery S. Ghuffar https://doi.org/10.3390/rs10091462
82. City-Level Solar Photovoltaic Potential Using Integrated Surface Models and Himawari Satellite in Jakarta and Bandung Indonesia K. Ihsan et al. https://doi.org/10.1016/j.enbuild.2024.114552
83. High-Resolution Spatiotemporal Modeling for Ambient PM2.5 Exposure Assessment in China from 2013 to 2019 C. Huang et al. https://doi.org/10.1021/acs.est.0c05815
84. Predictability of summertime diurnal winds over ungauged mountain glaciers J. Krishnanand et al. https://doi.org/10.5194/tc-20-4911-2026
85. An illustrated introduction to general geomorphometry I. Florinsky https://doi.org/10.1177/0309133317733667
86. ERRORS ANALYSIS OF DEMS BY INTERFEROMETRIC SYNTHETIC APERTURE RADAR UTILIZING SEVERAL ACQUISITION CONDITIONS OF THE MULTIFREQUENCY SAR DATA T. NONAKA et al. https://doi.org/10.2208/jscejcei.74.49
87. Sub-seasonal variability of supraglacial ice cliff melt rates and associated processes from time-lapse photogrammetry M. Kneib et al. https://doi.org/10.5194/tc-16-4701-2022
88. Microzoning Tsunami Hazard by Combining Flow Depths and Arrival Times N. Zamora et al. https://doi.org/10.3389/feart.2020.591514
89. Multisensor satellite and ground gravity data for delineating near surface signatures for hydrocarbon exploration - A study in the Jaisalmer basin, Rajasthan A. Guha et al. https://doi.org/10.1016/j.rsase.2025.101482
90. MODELING GLOBAL URBAN EXPANSION AND FUTURE PROJECTION M. KII & K. NAKAMURA https://doi.org/10.2208/jscejipm.72.25
91. Rupture of the 1949 Khait Earthquake on a Cryptic Fault: Implications for Earthquake Hazard B. Johnson et al. https://doi.org/10.1029/2024TC008777
92. 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
93. 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
94. A BIBLIOMETRIC ANALYSIS OF MACHINE LEARNING TECHNIQUES FOR IMPROVING DIGITAL ELEVATION MODEL ACCURACY: TRENDS, GAPS, AND FUTURE DIRECTIONS O. Kırtıloğlu et al. https://doi.org/10.36306/konjes.1685083
95. An Adaptive Denoising Framework for TECIS Full Waveform LiDAR Based on Bayesian Optimization and Structure-Aware Filtering D. Wang et al. https://doi.org/10.1109/LGRS.2026.3679521
96. Advancing global river hydrodynamics simulations by catchment-based macro-scale floodplain modeling approach D. Yamazaki https://doi.org/10.1186/s40562-025-00452-z
97. Loess distribution and related Quaternary sediments in the Carpathian Basin F. Lehmkuhl et al. https://doi.org/10.1080/17445647.2018.1526720
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. Improving the Accuracy of Open Source Digital Elevation Models with Multi-Scale Fusion and a Slope Position-Based Linear Regression Method Y. Tian et al. https://doi.org/10.3390/rs10121861
100. Review on model development techniques for dam break flood wave propagation P. Peramuna et al. https://doi.org/10.1002/wat2.1688
101. Synthesizing land use and demographic change in Southeast Asia’s smaller urbanized areas from 2000–2015 A. Gaughan et al. https://doi.org/10.1088/1748-9326/ae5fb1
102. Wetland mapping with multi-temporal sentinel-1 & -2 imagery (2017 – 2020) and LiDAR data in the grassland natural region of alberta A. Onojeghuo et al. https://doi.org/10.1080/15481603.2021.1952541
103. 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
104. The In-Orbit Calibration Method Based on Terrain Matching With Pyramid-Search for the Spaceborne Laser Altimeter X. Tang et al. https://doi.org/10.1109/JSTARS.2018.2890552
105. Integration of ground-based markerless photogrammetry for the geocoding of a ground-based SAR observation F. Nurzaman et al. https://doi.org/10.1016/j.isprsjprs.2025.08.007
106. Landscape patterns in stand-replacing disturbances across the world’s forests N. Acil et al. https://doi.org/10.1038/s41893-024-01450-3
107. Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide K. Messier & M. Katzfuss https://doi.org/10.1214/20-AOAS1422
108. Impact of the wildland–urban interface on large carnivore damage in the Polish Carpathians D. Kaim et al. https://doi.org/10.1007/s13280-025-02201-0
109. 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
110. Improving the resolution of solar energy potential maps derived from global DSMs for rooftop solar panel placement using deep learning M. Hosseini & H. Bagheri https://doi.org/10.1016/j.heliyon.2024.e41193
111. Applications of Open-Access Remotely Sensed Data for Flood Modelling and Mapping in Developing Regions I. Ekeu-wei & G. Blackburn https://doi.org/10.3390/hydrology5030039
112. The Greenland-Ice-Sheet evolution over the last 24 000 years: insights from model simulations evaluated against ice-extent markers T. Leger et al. https://doi.org/10.5194/tc-19-5719-2025
113. Google Earth Engine Üzerinde Sentinel-2 Görüntülerinin Arazi Örtüsü Haritalama Doğruluğunun İyileştirilmesi Ç. ŞERİFOĞLU YILMAZ https://doi.org/10.48123/rsgis.1119572
114. Towards decision-oriented sub-basin prioritization of flood vulnerability: a case of Chitral River Basin, Hindu Kush Himalaya using an integrated framework A. Rehman et al. https://doi.org/10.1080/19475705.2026.2710940
115. Enhancing Geolocation Accuracy of High-Altitude Airborne SAR Through Tropospheric Delay Compensation Y. Xiang et al. https://doi.org/10.1109/TGRS.2025.3540130
116. Controls on Ice Cliff Distribution and Characteristics on Debris‐Covered Glaciers M. Kneib et al. https://doi.org/10.1029/2022GL102444
117. Modeling land use/land cover change using remote sensing and geographic information systems: case study of the Seyhan Basin, Turkey E. Zadbagher et al. https://doi.org/10.1007/s10661-018-6877-y
118. 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
119. Ignoring variation in wood density drives substantial bias in biomass estimates across spatial scales J. Sæbø et al. https://doi.org/10.1088/1748-9326/ac62ae
120. Modeling the Estimation Uncertainty of Terrain Matching Methods for Spaceborne Laser Altimetry Data Y. Ma et al. https://doi.org/10.1109/TGRS.2025.3617964
121. Comparative Study on Sediment Delivery from Two Small Catchments within the Lena River, Siberia K. Maltsev & M. Ivanov https://doi.org/10.3390/w14193055
122. A random-forest-derived 35-year snow phenology record reveals climate trends in the Yukon River Basin C. Pan et al. https://doi.org/10.5194/tc-19-2797-2025
123. Monitoring mining-induced subsidence by integrating differential radar interferometry and persistent scatterer techniques K. Pawluszek-Filipiak & A. Borkowski https://doi.org/10.1080/22797254.2020.1759455
124. Integrating presence‐only and occupancy data to model habitat use for the northernmost population of jaguars V. Landau et al. https://doi.org/10.1002/eap.2619
125. Fusion Scheme and Implementation Based on SRTM1, ASTER GDEM V3, and AW3D30 S. Zhao et al. https://doi.org/10.3390/ijgi11030207
126. Improved GEDI Canopy Height Extraction Based on a Simulated Ground Echo in Topographically Undulating Areas H. Tang et al. https://doi.org/10.1109/TGRS.2023.3335364
127. Drought effects on leaf fall, leaf flushing and stem growth in the Amazon forest: reconciling remote sensing data and field observations T. Janssen et al. https://doi.org/10.5194/bg-18-4445-2021
128. Assessment of Open Access Global Elevation Model Errors Impact on Flood Extents in Southern Niger R. Muench et al. https://doi.org/10.3389/fenvs.2022.880840
129. Sensitivity of Andean Glaciers to ice-flow parameters in the Parallel Ice Sheet Model E. Lee et al. https://doi.org/10.5194/tc-20-4209-2026
130. Integration of Local Mean Sea Level and Land Vertical Datum over Peninsular Malaysia via Transformation Model M. Pa’suya et al. https://doi.org/10.1007/s00024-024-03598-7
131. Comparative Analysis of Global DEMs for Dam-Break Flood Modeling and Inundation Mapping S. Toledo Salgado et al. https://doi.org/10.1007/s11269-025-04427-9
132. 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
133. Tropical biodiversity loss from land-use change is severely underestimated by local-scale assessments J. Socolar et al. https://doi.org/10.1038/s41559-025-02779-4
134. Quantifying CH4 emissions from coal mine aggregation areas in Shanxi, China, using TROPOMI observations and the wind-assigned anomaly method Q. Tu et al. https://doi.org/10.5194/acp-24-4875-2024
135. Moment Tensors of Ring‐Faulting at Active Volcanoes: Insights Into Vertical‐CLVD Earthquakes at the Sierra Negra Caldera, Galápagos Islands O. Sandanbata et al. https://doi.org/10.1029/2021JB021693
136. Machine Learning: New Potential for Local and Regional Deep-Seated Landslide Nowcasting A. van Natijne et al. https://doi.org/10.3390/s20051425
137. Improving pedotransfer functions for predicting soil mineral associated organic carbon by ensemble machine learning Y. Xiao et al. https://doi.org/10.1016/j.geoderma.2022.116208
138. The 2021 Mw 5.2 Baicheng Earthquake: Implications for the Hazards of Extremely Shallow Earthquakes N. Di et al. https://doi.org/10.1785/0220220328
139. Evaluation of DEM Accuracy Improvement Methods Based on Multi-Source Data Fusion in Typical Gully Areas of Loess Plateau J. Huang et al. https://doi.org/10.3390/s23083878
140. VoxCity: A seamless framework for open geospatial data integration, grid-based semantic 3D city model generation, and urban environment simulation K. Fujiwara et al. https://doi.org/10.1016/j.compenvurbsys.2025.102366
141. Enhanced Radar Quantitative Precipitation Estimation in South China Through Deep Learning Methods With Global Features K. Zhu et al. https://doi.org/10.1109/JSTARS.2026.3689581
142. Correction of Terrain Effects on Forest Canopy Height Estimation Using ICESat-2 and High Spatial Resolution Images B. Li et al. https://doi.org/10.3390/rs14184453
143. Retrieval of digital elevation models from Sentinel-1 radar data – open applications, techniques, and limitations A. Braun https://doi.org/10.1515/geo-2020-0246
144. Implications of Simulating Global Digital Elevation Models for Flood Inundation Studies L. Hawker et al. https://doi.org/10.1029/2018WR023279
145. GHS-OBAT: Global, open building attribute data reporting age, function, height and compactness at footprint level P. Florio et al. https://doi.org/10.1016/j.dib.2025.111751
146. Estimating 2013–2019 NO2 exposure with high spatiotemporal resolution in China using an ensemble model C. Huang et al. https://doi.org/10.1016/j.envpol.2021.118285
147. Surface Pond Energy Absorption Across Four Himalayan Glaciers Accounts for 1/8 of Total Catchment Ice Loss E. Miles et al. https://doi.org/10.1029/2018GL079678
148. Effect of User Decision and Environmental Factors on Computationally Derived River Networks N. Olsen et al. https://doi.org/10.1029/2022JF006873
149. Glacial Lake Observatory (GLO): annual dataset of glacial lakes in Nepal and transboundary catchments (2017–2024) L. Rawlins et al. https://doi.org/10.5194/essd-18-5143-2026
150. Water cycle modelling strengthened by probabilistic integration of field data for groundwater management of a quite unknown tropical volcanic hydrosystem M. Dumont et al. https://doi.org/10.5802/crgeos.192
151. 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
152. Examining geodetic glacier mass balance in the eastern Pamir transition zone M. Lv et al. https://doi.org/10.1017/jog.2020.54
153. ANADEM: A Digital Terrain Model for South America L. Laipelt et al. https://doi.org/10.3390/rs16132321
154. Geomorphometric and climate analysis of a river basin system using freely-available global geodatasets (the case of the Bystrytsia Pidbuzka) I. Kruhlov et al. https://doi.org/10.17721/phgg.2025.48.1/129.01
155. Forest gain in high elevations of the Himalayas revealed by long-term satellite records C. Wang et al. https://doi.org/10.1080/17538947.2026.2714666
156. Mapping Europe into local climate zones M. Demuzere et al. https://doi.org/10.1371/journal.pone.0214474
157. 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
158. Thinning and surface mass balance patterns of two neighbouring debris-covered glaciers in the southeastern Tibetan Plateau C. Zhao et al. https://doi.org/10.5194/tc-17-3895-2023
159. Anomalous winter-snow-amplified earthquake-induced disaster of the 2015 Langtang avalanche in Nepal K. Fujita et al. https://doi.org/10.5194/nhess-17-749-2017
160. Validation of digital elevation models (DEMs) and comparison of geomorphic metrics on the southern Central Andean Plateau B. Purinton & B. Bookhagen https://doi.org/10.5194/esurf-5-211-2017
161. 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
162. A Pipeline for Automated Processing of Declassified Corona KH-4 (1962–1972) Stereo Imagery S. Ghuffar et al. https://doi.org/10.1109/TGRS.2022.3200151
163. A dataset of 0.05-degree leaf area index in China during 1983–2100 based on deep learning network H. Li et al. https://doi.org/10.1038/s41597-024-03948-z
164. Optimal battery management strategies for plug-in electric hybrid buses on routes including green corridors P. Ruiz et al. https://doi.org/10.1016/j.scs.2023.104556
165. VERTICAL ACCURACY ASSESSMENT OF OPEN ACCESS DIGITAL ELEVATION MODELS: BUCARAMANGA-COLOMBIA CASE STUDY J. Aponte Saravia https://doi.org/10.3846/gac.2022.14266
166. Improving Leaf Area Index Retrieval Using Multi-Sensor Images and Stacking Learning in Subtropical Forests of China Y. Chen et al. https://doi.org/10.3390/rs14010148
167. Assessing spatiotemporal land dynamics using Google Earth Engine and random forest: trends and drivers of change in Ethiopia’s fragile Jema River Basin T. Selamu et al. https://doi.org/10.1007/s10661-026-15502-y
168. Automatic estimation of bias parameters of RPC model and ground coordinates from multi-directional satellite images J. SUSAKI et al. https://doi.org/10.4287/jsprs.56.204
169. Implications of Using Global Digital Elevation Models for Flood Risk Analysis in Cities F. McClean et al. https://doi.org/10.1029/2020WR028241
170. Precision Geolocation for High-Altitude Airborne SAR: A Spatiotemporal Adaptive Tropospheric Delay Compensation Approach Y. Xiang et al. https://doi.org/10.1109/TAES.2025.3615183
171. Geomorphology and InSAR-Tracked Surface Displacements in an Ice-Rich Yedoma Landscape J. van Huissteden et al. https://doi.org/10.3389/feart.2021.680565
172. Multigrid/Multiresolution Interpolation: Reducing Oversmoothing and Other Sampling Effects D. Rodriguez-Perez & N. Sanchez-Carnero https://doi.org/10.3390/geomatics2030014
173. The Significance of Digital Elevation Models in the Calculation of LS Factor and Soil Erosion M. Michalopoulou et al. https://doi.org/10.3390/land11091592
174. The Spatial Effects of Regional Poverty: Spatial Dependence, Spatial Heterogeneity and Scale Effects M. Liu et al. https://doi.org/10.3390/ijgi12120501
175. Towards understanding desert shorelines - coastal landforms and dynamics around ephemeral Lake Eyre North, South Australia J. May et al. https://doi.org/10.1080/03721426.2022.2050506
176. Evaluating the Impact of Digital Elevation Models on Urban Flood Modeling: A Comprehensive Analysis of Flood Inundation, Hazard Mapping, and Damage Estimation Z. Zandsalimi et al. https://doi.org/10.1007/s11269-024-03862-4
177. Comparison of Surface Solar Irradiance from Ground Observations and Satellite Data (1990–2016) over a Complex Orography Region (Piedmont—Northwest Italy) V. Manara et al. https://doi.org/10.3390/rs12233882
178. Integrating Topographic Skeleton into Deep Learning for Terrain Reconstruction from GDEM and Google Earth Image K. Chen et al. https://doi.org/10.3390/rs15184490
179. 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
180. A Dynamic Time-Series Framework for Mapping Natural and Planted Forests and Estimating Forest Age at 30-m Resolution Y. Wang et al. https://doi.org/10.1109/JSTARS.2026.3706695
181. Pronking and bounding allow a fast escape across a grassland populated by scattered obstacles F. Righini et al. https://doi.org/10.1098/rsos.230587
182. 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
183. Global 30 meters spatiotemporal 3D urban expansion dataset from 1990 to 2010 T. He et al. https://doi.org/10.1038/s41597-023-02240-w
184. Accelerated mass loss of Himalayan glaciers since the Little Ice Age E. Lee et al. https://doi.org/10.1038/s41598-021-03805-8
185. Long-Term Trajectory Analysis of Avocado Orchards in the Avocado Belt, Mexico J. Solórzano et al. https://doi.org/10.3390/land14091792
186. In‐orbit geometric calibration and experimental verification of the ZY3‐02 laser altimeter J. Xie et al. https://doi.org/10.1111/phor.12249
187. Spatial ecology, biodiversity, and abiotic determinants of Congo's bai ecosystem E. Hockridge et al. https://doi.org/10.1002/ecy.4419
188. Downscaling satellite soil moisture using geomorphometry and machine learning M. Guevara et al. https://doi.org/10.1371/journal.pone.0219639
189. Impact of Various Global Digital Elevation and Crustal Density Models on Accurate Topographic Correction for Geoid Modelling Over East Malaysia N. Othman et al. https://doi.org/10.1007/s00024-026-03999-w
190. 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
191. Downscaling Daily Satellite-Based Precipitation Estimates Using MODIS Cloud Optical and Microphysical Properties in Machine-Learning Models S. Medrano et al. https://doi.org/10.3390/atmos14091349
192. On the Reliable Generation of 3D City Models from Open Data R. Girindran et al. https://doi.org/10.3390/urbansci4040047
193. TanDepth: Leveraging Global DEMs for Metric Monocular Depth Estimation in UAVs H. Florea & S. Nedevschi https://doi.org/10.1109/JSTARS.2025.3531984
194. Assessment of Slope-Adaptive Metrics of GEDI Waveforms for Estimations of Forest Aboveground Biomass over Mountainous Areas W. Ni et al. https://doi.org/10.34133/2021/9805364
195. Using machine learning for long-term calibration and validation of water quality ecosystem service models in data-scarce regions M. Valladares-Castellanos et al. https://doi.org/10.1016/j.scitotenv.2025.180388
196. Topographic Analysis of Landslide Distribution Using AW3D30 Data A. Nonomura et al. https://doi.org/10.3390/geosciences10040115
197. Comparison of different digital elevation models for drainage morphometric parameters: a case study from South India V. Kasi et al. https://doi.org/10.1007/s12517-020-06049-4
198. 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
199. High-resolution DEM generation from spaceborne and terrestrial remote sensing data for improved volcano hazard assessment — A case study at Nevado del Ruiz, Colombia F. Deng et al. https://doi.org/10.1016/j.rse.2019.111348
200. Advances on the Global Human Settlement Layer by joint assessment of Earth Observation and population survey data M. Pesaresi et al. https://doi.org/10.1080/17538947.2024.2390454
201. 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
202. How does the choice of DEMs affect catchment hydrological modeling? D. Moges et al. https://doi.org/10.1016/j.scitotenv.2023.164627
203. Energy-Aware UAV Coverage Planning in Mountainous Terrain via Contour-Aligned Path Generation Q. Shao et al. https://doi.org/10.1109/LRA.2025.3621932
204. Towards global coverage of gridded parameterization for CLImate GENerator (CLIGEN) A. Fullhart et al. https://doi.org/10.1080/20964471.2023.2291215
205. Impacts of elevation bias and topographic uncertainty on flood modeling: model robustness and floodplain sensitivity mapping in a lowland River Basin X. Le et al. https://doi.org/10.1016/j.jhydrol.2025.134832
206. Surface Subsidence in Urbanized Coastal Areas: PSI Methods Based on Sentinel-1 for Ho Chi Minh City C. Duffy et al. https://doi.org/10.3390/rs12244130
207. Landsat-Derived Annual Maps of Agricultural Greenhouse in Shandong Province, China from 1989 to 2018 C. Ou et al. https://doi.org/10.3390/rs13234830
208. Automatic Landform Recognition, Extraction, and Classification using Kernel Pattern Modeling K. Shirani et al. https://doi.org/10.1007/s41651-022-00131-z
209. A new anthracological sequence from Niğde-Kınık Höyük (Turkey): woodland vegetation and arboriculture in southern Cappadocia from the Late Bronze Age to the Ottoman Period L. Castellano https://doi.org/10.1007/s12520-021-01284-6
210. INFLUENCE OF WATERSHED CHARACTERISTICS ON FLOOD DISCHARGE AT 46 WATER LEVEL STATIONS IN JAPAN: FINDINGS FROM FACTOR ANALYSIS AT DIFFERENT SCALES OF FLOOD R. ITSUKUSHIMA et al. https://doi.org/10.2208/jscejhe.72.I_1255
211. Vibration model of Ziyuan3 satellites considering frequency changing F. Mo et al. https://doi.org/10.1177/1077546319898973
212. The evaluation of the potential of global data products for snow hydrological modelling in ungauged high-alpine catchments M. Weber et al. https://doi.org/10.5194/hess-25-2869-2021
213. A 30 m Canopy Height Map in China Created by Fusion of Multiple Relative Height Metrics Y. Xiao et al. https://doi.org/10.1109/TGRS.2025.3572524
214. The Detectability of Post-Seismic Ground Displacement Using DInSAR and SBAS in Longwall Coal Mining: A Case Study in the Upper Silesian Coal Basin, Poland K. Pawłuszek-Filipiak et al. https://doi.org/10.3390/rs16142533
215. Monitoring flood-prone urban areas of Sylhet, Bangladesh through water quality remote sensing M. Al Mamun Hridoy et al. https://doi.org/10.1007/s44274-025-00322-7
216. Automated Discontinuity Detection and Reconstruction in Subsurface Environment of Mars Using Deep Learning: A Case Study of SHARAD Observation V. Gupta et al. https://doi.org/10.3390/app10072279
217. 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
218. Mapping global leaf inclination angle (LIA) based on field measurement data S. Li & H. Fang https://doi.org/10.5194/essd-17-1347-2025
219. Land Use and Land Cover Change Patterns from Orbital Remote Sensing Products: Spatial Dynamics and Trend Analysis in Northeastern Brazil J. Silva et al. https://doi.org/10.3390/land14101954
220. A geospatial analysis of flood risk zones in Cyprus: insights from statistical and multi-criteria decision analysis methods M. Ghanem & H. Zaifoglu https://doi.org/10.1007/s11356-024-33391-x
221. Slip Kinematics of the 2021 Yangbi Earthquake: Fore-Main-Aftershock Sequence Rupture along an Unknown Secondary Fault of the Weixi–Qiaohou Fault C. Li et al. https://doi.org/10.1785/0220210220
222. 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
223. On the Leucanthemopsis alpina (L.) Heywood growing in the Illyrian region S. Tomasello & K. Konowalik https://doi.org/10.3897/phytokeys.161.53384
224. Numerical modeling of effects of vegetation restoration on runoff and sediment yield on the Loess Plateau, China G. Zhang et al. https://doi.org/10.1016/j.catena.2024.108501
225. CSDMS Data Components: data–model integration tools for Earth surface processes modeling T. Gan et al. https://doi.org/10.5194/gmd-17-2165-2024
226. Aboveground carbon emissions from gold mining in the Peruvian Amazon O. Csillik & G. Asner https://doi.org/10.1088/1748-9326/ab639c
227. Anisotropy Parameterization Development and Evaluation for Glacier Surface Albedo Retrieval from Satellite Observations S. Ren et al. https://doi.org/10.3390/rs13091714
228. 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
229. The Application of ALOS/PALSAR InSAR to Measure Subsurface Penetration Depths in Deserts S. Xiong et al. https://doi.org/10.3390/rs9060638
230. Soil Color and Mineralogy Mapping Using Proximal and Remote Sensing in Midwest Brazil R. Poppiel et al. https://doi.org/10.3390/rs12071197
231. Ecodatacube.eu: analysis-ready open environmental data cube for Europe M. Witjes et al. https://doi.org/10.7717/peerj.15478
232. A routing-based approach to rank LID locations for runoff management at the watershed scale Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2026.136381
233. Characterization of the 2008 Phreatomagmatic Eruption of Okmok From ArcticDEM and InSAR: Deposition, Erosion, and Deformation C. Dai et al. https://doi.org/10.1029/2019JB018977
234. Enhancing prediction of wildfire occurrence and behavior in Alaska using spatio-temporal clustering and ensemble machine learning A. Ahajjam et al. https://doi.org/10.1016/j.ecoinf.2024.102963
235. 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
236. Perspectives on Digital Elevation Model (DEM) Simulation for Flood Modeling in the Absence of a High-Accuracy Open Access Global DEM L. Hawker et al. https://doi.org/10.3389/feart.2018.00233
237. 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
238. Identification of floodwater source areas in Nepal using SCIMAP‐Flood C. Pearson et al. https://doi.org/10.1111/jfr3.12840
239. Pan-Alpine glacier phenology reveals lowering albedo and increase in ablation season length B. Di Mauro & D. Fugazza https://doi.org/10.1016/j.rse.2022.113119
240. Land Use Hotspots of the Two Largest Landlocked Countries: Kazakhstan and Mongolia J. Yuan et al. https://doi.org/10.3390/rs14081805
241. A comparative assessment of data-driven flood susceptibility mapping in Nigeria W. Montien Tique et al. https://doi.org/10.1007/s11069-025-07868-y
242. 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
243. Mapping Early Holocene to contemporary surface processes and human landscapes west of the lower White Nile (central Sudan) S. Costanzo et al. https://doi.org/10.1016/j.quaint.2024.109592
244. Major distribution shifts are projected for key rangeland grasses under a high-emission scenario in East Africa at the end of the 21st century M. Messmer et al. https://doi.org/10.1038/s43247-024-01731-x
245. Active landslide detection using integrated remote sensing technologies for a wide region and multiple stages: A case study in southwestern China H. Lu et al. https://doi.org/10.1016/j.scitotenv.2024.172709
246. Middle stone age occupation in eastern kerma region of the third cataract, northern Sudan O. Khaleel et al. https://doi.org/10.1016/j.quascirev.2026.110257
247. Mapping at 30 m Resolution of Soil Attributes at Multiple Depths in Midwest Brazil R. Poppiel et al. https://doi.org/10.3390/rs11242905
248. Generation and Utility of a Digital Surface Model Based on Archived Aerial Photographs Taken by the Japanese Antarctic Research Expedition K. Moto et al. https://doi.org/10.4157/grj.94.1
249. A detailed quasigeoid model of the Hong Kong territories computed by applying a finite-element method of solving the oblique derivative boundary-value problem R. Čunderlík et al. https://doi.org/10.1515/jogs-2022-0153
250. Advancing Global Landslide Segmentation: A Coupled Multispectral Attention and Data Augmentation Approach Using the Novel MRGSLD Dataset G. Emani et al. https://doi.org/10.1007/s41748-025-00577-3
251. REWARE: a seismic processing algorithm to retrieve geological information from the water column R. Sylvain et al. https://doi.org/10.1093/gji/ggae319
252. Validation of Global 30 m DEMs Over Czechia Identifies FathomDEM as the Most Accurate Model P. Bašta et al. https://doi.org/10.1007/s41064-026-00399-6
253. Development and application of space-borne DEM generation H. NAGAI & T. TADONO https://doi.org/10.5331/seppyo.79.1_43
254. A GIS-enabled AHP approach for mapping urban flood susceptibility in Bhubaneswar city M. Panigrahi et al. https://doi.org/10.3934/geosci.2026005
255. The Google Earth Engine Mangrove Mapping Methodology (GEEMMM) J. Yancho et al. https://doi.org/10.3390/rs12223758
256. Spatio-temporal dynamics of the Samudra-Tapu Glacier (India) from 1992 to 2023 using object-based image analysis and multi-temporal landsat data A. Kumar & P. Kumar https://doi.org/10.1007/s42990-026-00256-z
257. A New Global Hypsometric Data Set Derived From Satellite and Geometric Methods for Reservoir Storage Estimation N. Nguyen et al. https://doi.org/10.1029/2026WR043399
258. HydroCraft: an efficient online platform for hydrological modeling integrated with a large language model agent M. Tudaji et al. https://doi.org/10.1016/j.jhydrol.2026.135801
259. 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
260. Mapping Plantations in Myanmar by Fusing Landsat-8, Sentinel-2 and Sentinel-1 Data along with Systematic Error Quantification A. Poortinga et al. https://doi.org/10.3390/rs11070831
261. Vertical accuracy evaluation free access digital elevation models (DEMs): case Fergana Valley in Uzbekistan D. Fazilova & O. Arabov https://doi.org/10.15446/esrj.v27n2.103801
262. Emergency risk management for landslide dam breaks in 2018 on the Yangtze River, China J. He et al. https://doi.org/10.1016/j.rcns.2022.10.003
263. Retrieval of DTM under Complex Forest Stand Based on Spaceborne LiDAR Fusion Photon Correction B. Li et al. https://doi.org/10.3390/rs14010218
264. Reservoir Induced Deformation Analysis for Several Filling and Operational Scenarios at the Grand Ethiopian Renaissance Dam Impoundment A. Madson & Y. Sheng https://doi.org/10.3390/rs12111886
265. Coupling fine-grained nighttime Earth observation and optimal buffer for mobility-oriented measures of high-quality outdoor nighttime light exposure Y. Liu et al. https://doi.org/10.1016/j.envpol.2025.126861
266. Estimation of flood-exposed population in data-scarce regions combining satellite imagery and high resolution hydrological-hydraulic modelling: A case study in the Licungo basin (Mozambique) L. Cea et al. https://doi.org/10.1016/j.ejrh.2022.101247
267. Space-Time Machine Learning Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe S. Ibrahim et al. https://doi.org/10.3390/rs13153027
268. ECOSTRESS Reveals the Importance of Topography and Forest Structure for Evapotranspiration from a Tropical Forest Region of the Andes A. Valdés-Uribe et al. https://doi.org/10.3390/rs15122985
269. Refining urban morphology: An explainable machine learning method for estimating footprint-level building height Y. Chen et al. https://doi.org/10.1016/j.scs.2024.105635
270. First comprehensive quantification of annual land use/cover from 1990 to 2020 across mainland Vietnam D. Phan et al. https://doi.org/10.1038/s41598-021-89034-5
271. Geospatial analysis of landslide susceptibility and safe relocation zones: Insights from recent disasters in Gofa Zone, Southern Ethiopia N. Ayele et al. https://doi.org/10.1016/j.qsa.2025.100272
272. Burned Area Detection Using Multi-Sensor SAR, Optical, and Thermal Data in Mediterranean Pine Forest S. Abdikan et al. https://doi.org/10.3390/f13020347
273. 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
274. UAV-Derived Himalayan Topography: Hazard Assessments and Comparison with Global DEM Products C. Watson et al. https://doi.org/10.3390/drones3010018
275. A new approach to ecological zoning of the Earth in a changing climate https://doi.org/10.1038/s41893-024-01419-2
276. Identifying the Dimensions of Degraded Impact Structures Using Digital Elevation Models: A Proof of Concept for Silicate Planets C. Anderson et al. https://doi.org/10.3847/PSJ/adb969
277. Validation of weather reanalysis datasets and geospatial and techno-economic viability and potential assessment of concentrated solar power plants M. Ahmad & M. Zeeshan https://doi.org/10.1016/j.enconman.2022.115366
278. Integrating Modelling and Expert Knowledge for Evaluating Current and Future Scenario of Large Cardamom Crop in Eastern Nepal S. Maharjan et al. https://doi.org/10.3390/agronomy9090481
279. Loess and other Quaternary sediments in Germany F. Lehmkuhl et al. https://doi.org/10.1080/17445647.2018.1473817
280. Multiple Land-Use Simulations and Driving Factor Analysis by Integrating a Deep Cascade Forest Model and Cellular Automata: A Case Study in the Pearl River Delta, China H. Zhuang et al. https://doi.org/10.3390/rs16152750
281. 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
282. Estimating population and urban areas at risk of coastal hazards, 1990–2015: how data choices matter K. MacManus et al. https://doi.org/10.5194/essd-13-5747-2021
283. Imag(in)e nature: imaging energetic footprint of urban environments through multispectral data acquisition M. Balzar et al. https://doi.org/10.1007/s44223-024-00052-5
284. Operational performance of the ALOS global systematic acquisition strategy and observation plans for ALOS-2 PALSAR-2 A. Rosenqvist et al. https://doi.org/10.1016/j.rse.2014.04.011
285. Evidence of supershear during the 2018 magnitude 7.5 Palu earthquake from space geodesy A. Socquet et al. https://doi.org/10.1038/s41561-018-0296-0
286. Topographic effects on vegetation greening and area expansion in global alpine zones under climate change L. Zou et al. https://doi.org/10.1016/j.jag.2025.104727
287. Medium Spatial Resolution Mapping of Global Land Cover and Land Cover Change Across Multiple Decades From Landsat M. Friedl et al. https://doi.org/10.3389/frsen.2022.894571
288. Concentration‐Discharge Patterns Across the Gulf of Alaska Reveal Geomorphological and Glacierization Controls on Stream Water Solute Generation and Export J. Jenckes et al. https://doi.org/10.1029/2021GL095152
289. Global Natural and Planted Forests Mapping at Fine Spatial Resolution of 30 m Y. Xiao et al. https://doi.org/10.34133/remotesensing.0204
290. Global open‐access DEM vertical elevation and along track neighbouring structure evaluations in the Tibetan Plateau using ICESat‐2 ATL03 points J. Chen et al. https://doi.org/10.1002/esp.6062
291. Contrasting surface velocities between lake- and land-terminating glaciers in the Himalayan region J. Pronk et al. https://doi.org/10.5194/tc-15-5577-2021
292. Accuracy evaluation of digital elevation models derived from Terrestrial Radar Interferometer over Helheim Glacier, Greenland X. Wang et al. https://doi.org/10.1016/j.rse.2021.112759
293. Machine Learning-Based Approach Using Open Data to Estimate PM2.5 over Europe S. Ibrahim et al. https://doi.org/10.3390/rs14143392
294. Integrating Neighboring Structure Knowledge Into a CNN-Transformer Hybrid Model for Global Open-Access DEM Correction Using ICESat-2 Altimetry J. Chen et al. https://doi.org/10.1109/TGRS.2026.3651262
295. 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
296. Performance Assessment of TanDEM-X DEM for Mountain Glacier Elevation Change Detection J. Podgórski et al. https://doi.org/10.3390/rs11020187
297. Investigation of Slow-Moving Artificial Slope Failure with Multi-Temporal InSAR by Combining Persistent and Distributed Scatterers: A Case Study in Northern Taiwan H. Liang et al. https://doi.org/10.3390/rs12152403
298. Characterizing Complex Surface Ruptures in the 2013 Mw 7.7 Balochistan Earthquake Using Three‐Dimensional Displacements Y. Zhou et al. https://doi.org/10.1029/2018JB016043
299. 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
300. Multi-Regional landslide detection using combined unsupervised and supervised machine learning F. Tehrani et al. https://doi.org/10.1080/19475705.2021.1912196
301. Developing a rapid method for 3-dimensional urban morphology extraction using open-source data C. Ren et al. https://doi.org/10.1016/j.scs.2019.101962
302. Investigating the Recent Surge in the Monomah Glacier, Central Kunlun Mountain Range with Multiple Sources of Remote Sensing Data L. Guo et al. https://doi.org/10.3390/rs12060966
303. Recent Evolution of Glaciers in the Manaslu Region of Nepal From Satellite Imagery and UAV Data (1970–2019) A. Racoviteanu et al. https://doi.org/10.3389/feart.2021.767317
304. An intra-annual 30-m dataset of small lakes of the Qilian Mountains for the period 1987–2020 C. Li et al. https://doi.org/10.1038/s41597-023-02285-x
305. Changes in glacier albedo and the driving factors in the Western Nyainqentanglha Mountains from 2001 to 2020 S. Ren et al. https://doi.org/10.1017/jog.2023.45
306. 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
307. Formation and reorganization time scales of aeolian landscapes A. Gunn https://doi.org/10.1130/G50837.1
308. Prevalence and drivers of abrupt vegetation shifts in global drylands M. Berdugo et al. https://doi.org/10.1073/pnas.2123393119
309. new species of <i>Lepanthes</i> (Orchidaceae: Pleurothallidinae) to honour “Bachué”, the mythological mother of the indigenous Muisca people. E. Parra-Sanchez et al. https://doi.org/10.15517/lank.v23i2.54032
310. 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
311. Uncertainty analysis of potential population exposure within the coastal lowlands of mainland China F. Li et al. https://doi.org/10.1088/1748-9326/ad059d
312. Evaluation of the Newly Released Worldwide AW3D30 DEM Over Typical Landforms of China Using Two Global DEMs and ICESat/GLAS Data H. Li & J. Zhao https://doi.org/10.1109/JSTARS.2018.2874361
313. Evaluation of Recently Released Open Global Digital Elevation Models of Hubei, China Z. Hu et al. https://doi.org/10.3390/rs9030262
314. Investigation of temporal baseline effect on DEMs derived from COSMO Sky-Med data A. TORUN & O. ORHAN https://doi.org/10.26833/ijeg.814319
315. Optimal location method of emergency communication nodes based on digital terrain features J. Qi et al. https://doi.org/10.1080/17538947.2025.2594250
316. Current status of the Critically Endangered Black-winged Trumpeter Psophia obscura in one of its last strongholds E. CARVALHO et al. https://doi.org/10.1017/S0959270922000077
317. Accuracy assessment of ALOS World 3D-30m DEMs using field data from Lagos and Federal Capital Territory, Nigeria C. Okolie & I. Arungwa https://doi.org/10.1080/10106049.2022.2060320
318. Drainage Network Analysis and Structuring of Topologically Noisy Vector Stream Data J. Lindsay et al. https://doi.org/10.3390/ijgi8090422
319. 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
320. Uncertainty assessment in river flow projections for Ethiopia’s Upper Awash Basin using multiple GCMs and hydrological models W. Chan et al. https://doi.org/10.1080/02626667.2020.1767782
321. School Location Analysis by Integrating the Accessibility, Natural and Biological Hazards to Support Equal Access to Education A. Sakti et al. https://doi.org/10.3390/ijgi11010012
322. 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
323. Investigation on Perceptron Learning for Water Region Estimation Using Large-Scale Multispectral Images P. Vinayaraj et al. https://doi.org/10.3390/s18124333
324. The first pan-Alpine surface-gravity database, a modern compilation that crosses frontiers P. Zahorec et al. https://doi.org/10.5194/essd-13-2165-2021
325. Regional-scale flood mapping using naive Bayes and remote sensing: towards local relevance V. Kuchinski & R. Cauduro Dias de Paiva https://doi.org/10.1080/02626667.2025.2506749
326. Residual Terrain Modelling: The Harmonic Correction for Geoid Heights M. Yang et al. https://doi.org/10.1007/s10712-022-09694-4
327. Precipitation phase drives seasonal and decadal snowline changes in high mountain Asia M. Bernat et al. https://doi.org/10.1088/1748-9326/adcf39
328. Tracking lake surface elevations with proportional hypsometric relationships, Landsat imagery, and multiple DEMs D. Weekley & X. Li https://doi.org/10.1029/2020WR027666
329. Ardahan ilinde Köy Yerleşmelerinin Topoğrafik ve Klimatolojik Özelliklerle İlişkisi: Mekânsal Bir Analiz S. Duran & F. Keserci https://doi.org/10.33688/aucbd.1844742
330. Improving global digital elevation models using space-borne GEDI and ICESat-2 LiDAR altimetry data O. Narin et al. https://doi.org/10.1080/17538947.2024.2316113
331. The Densification of the point cloud from PS-InSAR Method in Urban Area S. Sajedizadeh & Y. Maghsoudi Mehrani https://doi.org/10.61186/jgit.12.2.23
332. Fluvio-alluvial source-sink relationships at the Skeleton Coast of northern Namibia: a parametric analysis J. Mohren et al. https://doi.org/10.5194/esurf-14-685-2026
333. Erosion-based analysis of breaching of Baige landslide dams on the Jinsha River, China, in 2018 L. Zhang et al. https://doi.org/10.1007/s10346-019-01247-y
334. Graph-Based Geocoding and Address Generation for Africa: A QGIS-Integrated Approach Using Street Network Topology Trained on European Reference Cities C. Mwimangire et al. https://doi.org/10.3390/ijgi15100446
335. Modeling soil erosion severity and sub-watershed prioritization in the Middle Omo-Gibe River basin of Ethiopia: an integrated RUSLE, geospatial, and field survey approach A. Dofee et al. https://doi.org/10.1007/s12665-026-12997-z
336. Uncertainty in Catchment Delineations as a Result of Digital Elevation Model Choice L. Keys & J. Baade https://doi.org/10.3390/hydrology6010013
337. Coseismic Displacement and Slip Distribution of the 21 May 2021 Mw 6.1 Earthquake in Yangbi, China Derived From InSAR Observations Y. Li et al. https://doi.org/10.3389/fenvs.2022.857739
338. Accuracy Assessment of DEMs in Different Topographic Complexity Based on an Optimum Number of GCP Formulation and Error Propagation Analysis S. Nadi et al. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000296
339. Substantial accumulation rates on a glacier avalanche cone from time-lapse photogrammetry and field measurements M. Kneib et al. https://doi.org/10.5194/tc-20-5327-2026
340. Peat fires contribute disproportionately to Siberian fire carbon emissions A. Khairoun et al. https://doi.org/10.1126/sciadv.adl2368
341. Lithological controls on the timing of strath terrace staircase formation in a collisional mountain belt J. Zondervan et al. https://doi.org/10.1002/esp.5821
342. DETECTION OF COASTAL DAMAGE DUE TO THE 2011 TSUNAMI USING SEMI-AUTOMATICALLY GENERATED DSM K. UDO et al. https://doi.org/10.2208/kaigan.72.I_1747
343. Evaluating effectiveness of mitigation measures for large debris flows in Wenchuan, China J. He et al. https://doi.org/10.1007/s10346-021-01809-z
344. SAR2ET: End-to-End SAR-Driven Multisource ET Imagery Estimation Over Croplands S. Cetin et al. https://doi.org/10.1109/JSTARS.2024.3447033
345. Ecological zoning for climate policy and global change studies P. Audebert et al. https://doi.org/10.1038/s41893-024-01416-5
346. 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
347. Sequential SAR Coherence Method for the Monitoring of Buildings in Sarpole-Zahab, Iran S. Karimzadeh et al. https://doi.org/10.3390/rs10081255
348. Accelerating glacier volume loss on Juneau Icefield driven by hypsometry and melt-accelerating feedbacks B. Davies et al. https://doi.org/10.1038/s41467-024-49269-y
349. 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
350. Combining expert and crowd-sourced training data to map urban form and functions for the continental US M. Demuzere et al. https://doi.org/10.1038/s41597-020-00605-z
351. European Union crop map 2022: Earth observation’s 10-meter dive into Europe’s crop tapestry B. Ghassemi et al. https://doi.org/10.1038/s41597-024-03884-y
352. 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
353. 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
354. 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
355. A Novel Self-Adaptive Method in Generating DEM of Riparian Zone With Satellite Images and Corresponding Water Level in a Classification Way J. Tan et al. https://doi.org/10.1109/TGRS.2025.3569251
356. Mapping and characterization of avalanches on mountain glaciers with Sentinel-1 satellite imagery M. Kneib et al. https://doi.org/10.5194/tc-18-2809-2024
357. Peruvian Amazon Waterway Project: River Dynamics and Shallow Zones H. Chicchon & J. Abad https://doi.org/10.1061/JWPED5.WWENG-2237
358. Geochemical Weathering Variability in High Latitude Watersheds of the Gulf of Alaska J. Jenckes et al. https://doi.org/10.1029/2023JF007284
359. Modelling runoff components and hydrological processes in glaciated catchments of the inner Tien-Shan, Kyrgyzstan S. Sadyrov et al. https://doi.org/10.3389/feart.2023.1306476
360. Role of coseismic bedrock landslides in the landscape evolution of high-relief mountainous terrain: Insights from detrital 10Be dilution modeling J. Peng et al. https://doi.org/10.1016/j.geomorph.2024.109432
361. Improving altitudinal accuracy of Sentinel-1 InSAR DEM in arid flat terrain: a machine learning approach with UAV photogrammetry and multi-source data Y. Chen et al. https://doi.org/10.1080/10095020.2025.2600903
362. Factors Controlling Contemporary Suspended Sediment Yield in the Caucasus Region V. Golosov & A. Tsyplenkov https://doi.org/10.3390/w13223173
363. Evaluating future railway-induced urban growth of twelve cities using multiple SLEUTH models with open-source geospatial inputs A. Varquez et al. https://doi.org/10.1016/j.scs.2023.104442
364. Limitations Posed by Free DEMs in Watershed Studies: The Case of River Tanaro in Italy R. Tavares da Costa et al. https://doi.org/10.3389/feart.2019.00141
365. Variation in vegetation structural complexity explains evapotranspiration in a tropical dryland ecotone A. Valdés-Uribe et al. https://doi.org/10.1016/j.ecolind.2025.114433
366. Melting-induced settlement and overtopping evolution of ice–soil landslide dams P. Zhang et al. https://doi.org/10.1007/s10064-026-05133-5