ASTER GLOBAL DEM (GDEM) VERSION 3

28 citations as recorded by crossref.

1. Alpine Wetlands Information Extraction Using Optimized Multifeatures and Random Forest Algorithm D. Wang et al. https://doi.org/10.1109/JSTARS.2025.3547725
2. Accuracy assessment of open DTM and DSM products in urban environments J. Liu et al. https://doi.org/10.1080/10095020.2026.2694226
3. An Integrated Correction Method for Geometric, Atmospheric, and Terrain Effects in Hyperspectral Remote Sensing Images G. Jia et al. https://doi.org/10.1109/TGRS.2025.3646001
4. A Methodology for Identifying Coastal Cultural Heritage Assets Exposed to Future Sea Level Rise Scenarios S. Chalkidou et al. https://doi.org/10.3390/app14167210
5. Structure-preserving DEM void filling via optical imagery-guided diffusion J. Zhao et al. https://doi.org/10.1016/j.rse.2026.115515
6. A global product of 150-m urban building height based on spaceborne lidar X. Ma et al. https://doi.org/10.1038/s41597-024-04237-5
7. Statistical evaluation of a diversified surface solar irradiation data repository and forecasting using a recurrent neural network-hybrid model: A case study in Bhutan S. Gyeltshen et al. https://doi.org/10.1016/j.renene.2025.122706
8. Developing a Composite Hydrological Drought Index Using the VIC Model: Case Study in Northern Thailand D. Lapyai et al. https://doi.org/10.3390/w17182732
9. Insights from terrain influence on gamma dose rate variability in lower Shivalik Himalayas P. Singh et al. https://doi.org/10.1038/s41598-025-12124-1
10. Projections of Hydrological Droughts in Northern Thailand Under RCP Scenarios Using the Composite Hydrological Drought Index (CHDI) D. Lapyai et al. https://doi.org/10.3390/w17243568
11. Assessment of Road-Network Vulnerability and Risk Exposure Employing Machine Learning Techniques in Hilly Tourist Destinations in India S. Manna & A. Banerjee https://doi.org/10.1007/s40030-026-00965-6
12. Seismic evidence of multi-stage volcanic flank collapse and refined deposit volume offshore Fogo, Cabo Verde E. Hadré et al. https://doi.org/10.1007/s00445-026-02014-3
13. Paddy Rice Mapping Based on Phenology Matching and Cultivation Pattern Analysis Combining Multi-Source Data in Guangdong, China L. Sun et al. https://doi.org/10.34133/remotesensing.0152
14. An integrated urban metabolism and ecosystem service assessment: The case study of Lima, Peru Ú. Cárdenas‐Mamani & D. Perrotti https://doi.org/10.1111/jiec.13532
15. Assessment of horizontal shifting errors in open-source DEMs and their impact on 1D hydraulic modeling of meandering river channel M. Firoz et al. https://doi.org/10.1016/j.ejrh.2025.102707
16. Regional Ecological Environment Quality Prediction Based on Multi-Model Fusion Y. Song et al. https://doi.org/10.3390/land14071486
17. Rapid riparian vegetation development and channel stabilization linked to glacier retreat within a large transboundary watershed D. Whited et al. https://doi.org/10.1002/esp.6045
18. Evaluation of InSAR applicability using a new multi-index and optical imagery: A case study in the Guangdong-Hong Kong-Macao greater bay area, China Z. Zhang et al. https://doi.org/10.1016/j.rsase.2025.101474
19. An Interpretable framework of Soil moisture estimation based on Mixture-of-Experts (ISMoE): a case study on the Tibetan Plateau J. Yang et al. https://doi.org/10.1016/j.jhydrol.2025.133763
20. Flood Hazard Evaluation Using a Flood Potential Index N. Popescu & A. Bărbulescu https://doi.org/10.3390/w15203533
21. Elemental signatures of metamorphic, diagenetic, and pedogenic magnesites from Central Queensland, Australia C. Swindle et al. https://doi.org/10.1016/j.chemgeo.2025.123068
22. UAV-based survey of ancient white marble quarries on Mt Pentelikon: successes and challenges of a lidar and photogrammetric survey in a high-relief environment S. Pike et al. https://doi.org/10.32028/jga.v10i.3351
23. Geoinformation modelling of the watershed area of small and medium-sized rivers for environmental audit O. Iryna et al. https://doi.org/10.2478/rgg-2025-0004
24. Characterizing the capability of public DEMs for mapping global floodplain bathymetry Y. Lin et al. https://doi.org/10.1016/j.jhydrol.2025.133205
25. Considering spatial heterogeneity of cultivation conditions can effectively improve the assessment of nitrogen use at the provincial scale in China J. Jiang et al. https://doi.org/10.1016/j.ecolind.2024.112603
26. Wild Vanilla and pollinators at risk of spatial mismatch in a changing climate C. Watteyn et al. https://doi.org/10.3389/fpls.2025.1585540
27. Spatiotemporal dynamics and driving factors of cultivated land fragmentation across China from 1990 to 2020 L. Qu et al. https://doi.org/10.1007/s10980-025-02166-1
28. Declining anthropogenic wildfires in South American savannas Y. Lou et al. https://doi.org/10.1016/j.gloplacha.2026.105305