WORLDDEM – A NOVEL GLOBAL FOUNDATION LAYER

33 citations as recorded by crossref.

1. Thermokarst pond dynamics in subarctic environment monitoring with radar remote sensing L. Wang et al. https://doi.org/10.1002/ppp.1986
2. Effect of User Decision and Environmental Factors on Computationally Derived River Networks N. Olsen et al. https://doi.org/10.1029/2022JF006873
3. High-Resolution Spaceborne SAR Geolocation Accuracy Analysis and Error Correction F. Li & Q. Zeng https://doi.org/10.3390/rs16224210
4. Fast and accurate SAR geocoding with a plane approximation S. Guo et al. https://doi.org/10.1016/j.isprsjprs.2024.10.031
5. Ice‐Dynamical Glacier Evolution Modeling—A Review H. Zekollari et al. https://doi.org/10.1029/2021RG000754
6. Emerging methodologies in waterbody delineation: an In-depth review S. Rajeswari & P. Rathika https://doi.org/10.1080/01431161.2024.2379518
7. Real-World DEM Super-Resolution Based on Generative Adversarial Networks for Improving InSAR Topographic Phase Simulation Z. Wu et al. https://doi.org/10.1109/JSTARS.2021.3105123
8. Differential Tropospheric Delay Estimation by Simultaneous Multi-Angle Repeat-Pass InSAR Y. Li et al. https://doi.org/10.1109/TGRS.2021.3105007
9. Elevation Model Mosaicking From Coregistration, Adjustment, and Median of Stacks (CAMS) I. Howat https://doi.org/10.1109/LGRS.2023.3253539
10. Impact of Elevation and Hydrography Data on Modeled Flood Map Accuracy Using ARC and Curve2Flood T. Miskin et al. https://doi.org/10.3390/hydrology12080202
11. A semantic notation for comparing global high-resolution coastal flooding studies F. Baart et al. https://doi.org/10.3389/feart.2024.1465040
12. Volume changes at Santiaguito volcano between 2011 and 2019 based on TanDEM-X InSAR data A. Edrich et al. https://doi.org/10.3389/feart.2025.1643038
13. High-Accuracy Mangrove Extraction and Degradation Diagnosis Using Time-Series Remote Sensing and Deep Learning: A Case Study of the Largest Delta in the Northern Beibu Gulf, China X. Xie et al. https://doi.org/10.3390/w18050617
14. Relating Forest Biomass to TanDEM-X Mean Phase Height J. Askne https://doi.org/10.1109/JSTARS.2025.3606791
15. Comparison of TerraSAR-X and ALOS PALSAR Differential Interferometry With Multisource DEMs for Monitoring Ground Displacement in a Discontinuous Permafrost Region L. Wang et al. https://doi.org/10.1109/JSTARS.2017.2707337
16. Mapping Forest Height from TanDEM-X Interferometric Coherence Data in Northwest Territories, Canada H. Chen et al. https://doi.org/10.1080/07038992.2019.1604119
17. Monitoring Aeolian Erosion from Surface Coal Mines in the Mongolian Gobi Using InSAR Time Series Analysis J. Kim et al. https://doi.org/10.3390/rs16214111
18. ICESat-2 for evaluating space-borne and national digital elevation models across forest and non-forest landscapes in Kastamonu, Türkiye A. Altunel et al. https://doi.org/10.1016/j.asr.2025.07.004
19. Global spatiotemporal patterns of demographic fluctuations in terrestrial vertebrates during the Late Pleistocene Z. Li et al. https://doi.org/10.1126/sciadv.adq3938
20. Regionalization of local geomorphometric derivations for geological mapping in the sedimentary domain of central Amazônia M. Valeriano & D. Rossetti https://doi.org/10.1016/j.cageo.2016.12.002
21. 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
22. The 2015 Chileno Valley glacial lake outburst flood, Patagonia R. Wilson et al. https://doi.org/10.1016/j.geomorph.2019.01.015
23. Uncertainty in the Himalayan energy–water nexus: estimating regional exposure to glacial lake outburst floods W. Schwanghart et al. https://doi.org/10.1088/1748-9326/11/7/074005
24. Mapping with Pléiades—End-to-End Workflow R. Perko et al. https://doi.org/10.3390/rs11172052
25. The use of triangulation processing algorithms for the construction of combined model of the underwater and above-water terrain of the bed of the Bratsk Reservoir A. Gachenko et al. https://doi.org/10.1088/1755-1315/190/1/012028
26. Assessing Land Deformation and Sea Encroachment in the Nile Delta: A Radar Interferometric and Inundation Modeling Approach E. Gebremichael et al. https://doi.org/10.1002/2017JB015084
27. Methodology for definition of boundaries of Saint Petersburg watersheds to determine the intake of total nitrogen and phosphorus into the Neva Bay and eastern part of the Finnish Gulf S. Klubov et al. https://doi.org/10.35595/2414-9179-2023-1-29-304-317
28. How to evaluate the quality of coarse‐resolution DEM‐derived drainage networks T. Sousa & A. Paz https://doi.org/10.1002/hyp.11262
29. Super-Resolution Remote Sensing Datasets for Application to Caral–Supe Archeological Sites Employing SAR and DEMs J. Kim & R. Singh https://doi.org/10.3390/rs18060854
30. The Need for a High-Accuracy, Open-Access Global DEM G. Schumann & P. Bates https://doi.org/10.3389/feart.2018.00225
31. High resolution topobathymetry using a Pleiades-1 triplet: Moorea Island in 3D A. Collin et al. https://doi.org/10.1016/j.rse.2018.02.015
32. Multi-decadal geomorphic changes of a low-angle valley glacier in the East Kunlun Mountains: remote sensing observations and detachment hazard assessment X. Wang et al. https://doi.org/10.5194/nhess-21-2791-2021
33. 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