Articles | Volume 17, issue 1
https://doi.org/10.5194/essd-17-205-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-205-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
24 Jan 2025
Data description article |
| 24 Jan 2025
| 24 Jan 2025
Global digital elevation model (GDEM) product generation by correcting ASTER GDEM elevation with ICESat-2 altimeter data
Binbin Li
College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai 200092, China
JC STEM Lab of Earth Observations, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR 999077, China
Research Centre for Artificial Intelligence in Geomatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR 999077, China
Research Institute for Land and Space, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR 999077, China
College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai 200092, China
Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China
Shijie Liu
College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai 200092, China
Zhen Ye
College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai 200092, China
Zhonghua Hong
College of Information Technology, Shanghai Ocean University, Shanghai 201306, China
Qihao Weng
JC STEM Lab of Earth Observations, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR 999077, China
Research Centre for Artificial Intelligence in Geomatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR 999077, China
Research Institute for Land and Space, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR 999077, China
Yuan Sun
College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai 200092, China
Qi Xu
College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai 200092, China
Xiaohua Tong
College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai 200092, China
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Cited
11 citations as recorded by crossref.
- Comparison of Methods for Reconstructing Irregular Surfaces from Point Clouds of Digital Terrain Models in Developing a Computer-Aided Design Model for Rapid Prototyping Technology M. Chlost & A. Bazan https://doi.org/10.3390/designs9040081
- Elevation Correction of a Large-Scale DEM Using ICESat-2 Laser Altimetry Data W. Lian et al. https://doi.org/10.1109/TGRS.2025.3589578
- Towards 90 m resolution digital terrain model combining ICESat-2 and GEDI data: Balancing accuracy and sampling intensity P. Pracná et al. https://doi.org/10.1016/j.srs.2025.100293
- A Spatiotemporal Subgrid Least Squares Approach to DEM Generation of the Greenland Ice Sheet from ICESat-2 Laser Altimetry Q. Wang et al. https://doi.org/10.3390/rs17244027
- A multi-attribute joint isolation forest framework for ground control point extraction from ICESat-2 ATL08 data and DEM vertical accuracy assessment G. Liu et al. https://doi.org/10.1016/j.measurement.2026.121880
- Performance-oriented parallel upscaling of river drainage networks for large data sets A. da Paz et al. https://doi.org/10.1007/s10596-026-10403-y
- Assessment of deficit irrigation impacts on water productivity and crop yield in the arid yellow river Basin using the SWAT model H. Zhang et al. https://doi.org/10.1016/j.agwat.2026.110244
- Optimizing soil-moisture sensor placement according to seasonal and site conditions for smart irrigation using satellite data and machine learning O. Amraouy et al. https://doi.org/10.1016/j.atech.2026.102113
- Flood Protection and Runoff Quantification Based on Two Free Global Digital Elevation Models: A Case of Wadi Qaws, Jeddah, Saudi Arabia A. Al-Areeq https://doi.org/10.1007/s41742-025-00861-0
- Explicit Features Versus Implicit Spatial Relations in Geomorphometry: A Comparative Analysis for DEM Error Correction in Complex Geomorphological Regions S. Zhou et al. https://doi.org/10.3390/s26061995
- Application of Multi-Source Remote Sensing and Topographic Factor Integration in the Exploration of Ion-Adsorption Type Rare Earth Deposits: A Case Study from Houaphanh Province, Laos Y. Ye et al. https://doi.org/10.3390/min15111160
11 citations as recorded by crossref.
- Comparison of Methods for Reconstructing Irregular Surfaces from Point Clouds of Digital Terrain Models in Developing a Computer-Aided Design Model for Rapid Prototyping Technology M. Chlost & A. Bazan https://doi.org/10.3390/designs9040081
- Elevation Correction of a Large-Scale DEM Using ICESat-2 Laser Altimetry Data W. Lian et al. https://doi.org/10.1109/TGRS.2025.3589578
- Towards 90 m resolution digital terrain model combining ICESat-2 and GEDI data: Balancing accuracy and sampling intensity P. Pracná et al. https://doi.org/10.1016/j.srs.2025.100293
- A Spatiotemporal Subgrid Least Squares Approach to DEM Generation of the Greenland Ice Sheet from ICESat-2 Laser Altimetry Q. Wang et al. https://doi.org/10.3390/rs17244027
- A multi-attribute joint isolation forest framework for ground control point extraction from ICESat-2 ATL08 data and DEM vertical accuracy assessment G. Liu et al. https://doi.org/10.1016/j.measurement.2026.121880
- Performance-oriented parallel upscaling of river drainage networks for large data sets A. da Paz et al. https://doi.org/10.1007/s10596-026-10403-y
- Assessment of deficit irrigation impacts on water productivity and crop yield in the arid yellow river Basin using the SWAT model H. Zhang et al. https://doi.org/10.1016/j.agwat.2026.110244
- Optimizing soil-moisture sensor placement according to seasonal and site conditions for smart irrigation using satellite data and machine learning O. Amraouy et al. https://doi.org/10.1016/j.atech.2026.102113
- Flood Protection and Runoff Quantification Based on Two Free Global Digital Elevation Models: A Case of Wadi Qaws, Jeddah, Saudi Arabia A. Al-Areeq https://doi.org/10.1007/s41742-025-00861-0
- Explicit Features Versus Implicit Spatial Relations in Geomorphometry: A Comparative Analysis for DEM Error Correction in Complex Geomorphological Regions S. Zhou et al. https://doi.org/10.3390/s26061995
- Application of Multi-Source Remote Sensing and Topographic Factor Integration in the Exploration of Ion-Adsorption Type Rare Earth Deposits: A Case Study from Houaphanh Province, Laos Y. Ye et al. https://doi.org/10.3390/min15111160
Saved (final revised paper)
Latest update: 05 Jun 2026
Short summary
We refined the Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model (ASTER GDEM) with Ice, Cloud, and Land Elevation Satellite 2 data to release a new dataset (IC2-GDEM). It has superior global elevation quality to ASTER GDEM. Its seamless integration with historical ASTER GDEM datasets is essential for longitudinal environmental studies. As a complementary data source to other GDEMs, it enables more reliable and comprehensive scientific discoveries.
We refined the Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital...
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