11 citations as recorded by crossref.

1. Applications of ArcticDEM for measuring volcanic dynamics, landslides, retrogressive thaw slumps, snowdrifts, and vegetation heights C. Dai et al. https://doi.org/10.1016/j.srs.2024.100130
2. Observing glacier elevation changes from spaceborne optical and radar sensors – an inter-comparison experiment using ASTER and TanDEM-X data L. Piermattei et al. https://doi.org/10.5194/tc-18-3195-2024
3. Assessing glacier thickness changes with multi-temporal UAV-derived DEMs: The evolution of Forni Glacier over the period 2014–2022 V. Belloni et al. https://doi.org/10.1016/j.jag.2025.104547
4. 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
5. Co-registration and residual correction of digital elevation models: a comparative study T. Li et al. https://doi.org/10.5194/tc-17-5299-2023
6. Elevation bias due to penetration of spaceborne radar signal on Grosser Aletschgletscher, Switzerland J. Bannwart et al. https://doi.org/10.1017/jog.2024.37
7. Evaluating Digital Elevation Model generation from Sentinel-1 SAR data in challenging tropical environments Z. Zylshal et al. https://doi.org/10.1007/s40808-024-02171-4
8. A Robust DEM Registration Method via Physically Consistent Image Rendering Y. Li et al. https://doi.org/10.3390/app16031238
9. Estimating Mercury and Arsenic Release from the La Soterraña Abandoned Mine Waste Dump (Asturias, Spain): Source-Term Reconstruction Using High-Accuracy UAV Surveys and Historical Topographic Data L. Salgado et al. https://doi.org/10.3390/land14102016
10. Building multi-satellite DEM time series for insight into mélange inside large rifts in Antarctica M. Xia et al. https://doi.org/10.5194/tc-19-6749-2025
11. ICESat-2 Crossover-Constrained refinement of the Copernicus 30 m DEM in selected Antarctic regions using Machine learning X. Li et al. https://doi.org/10.1016/j.jag.2026.105291