ICESAT-2 ALTIMETRY AS GEODETIC CONTROL

22 citations as recorded by crossref.

1. LiDAR point cloud and ICESat‐2 evaluation of 1 second global digital elevation models: Copernicus wins P. Guth & T. Geoffroy https://doi.org/10.1111/tgis.12825
2. 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
3. High spatial resolution elevation change dataset derived from ICESat-2 crossover points on the Tibetan Plateau T. Chen et al. https://doi.org/10.1038/s41597-024-03214-2
4. Error-Reduced Digital Elevation Model of the Qinghai-Tibet Plateau using ICESat-2 and Fusion Model X. Zhang et al. https://doi.org/10.1038/s41597-024-03428-4
5. Modeling and Correcting Building Boundary in ICESat-2 Spaceborne Laser Altimeter Data Considering the Extended Laser Spot Effect P. Zhao et al. https://doi.org/10.1109/TGRS.2024.3383600
6. Forest terrain and canopy height estimation using stereo images and spaceborne LiDAR data from GF-7 satellite L. Du et al. https://doi.org/10.1080/10095020.2023.2249037
7. Performance validation of High Mountain Asia 8-meter Digital Elevation Model using ICESat-2 geolocated photons G. Dandabathula et al. https://doi.org/10.1007/s11629-024-8820-8
8. Effects of environmental conditions on ICESat-2 terrain and canopy heights retrievals in Central European mountains V. Moudrý et al. https://doi.org/10.1016/j.rse.2022.113112
9. A Two-Step Block Adjustment Method for DSM Accuracy Improvement with Elevation Control of ICESat-2 Data X. Zhang et al. https://doi.org/10.3390/rs14184455
10. Terrain-Guided Block Adjustment for InSAR DSM Elevation Calibration C. Cao et al. https://doi.org/10.1109/JSTARS.2025.3567263
11. High-Precision Digital Surface Model Extraction from Satellite Stereo Images Fused with ICESat-2 Data J. Ye et al. https://doi.org/10.3390/rs14010142
12. 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
13. Improving ICESat-2 ATL08 land elevation accuracy in complex hilly terrain using Machine Learning Models and spatial analysis S. Zhang et al. https://doi.org/10.13168/AGG.2026.0015
14. The ATL08 as a height reference for the global digital elevation models N. Osama et al. https://doi.org/10.1080/10095020.2022.2087108
15. Enhancing the performance of 1D–2D flood models using satellite laser altimetry and multi-mission surface water extent maps from Earth observation (EO) data T. Charoensuk et al. https://doi.org/10.5194/hess-29-5065-2025
16. Multi-source DEM accuracy evaluation based on ICESat-2 in Qinghai-Tibet Plateau, China X. Weifeng et al. https://doi.org/10.1080/17538947.2023.2297843
17. Integrating optimal terrain representations from public DEMs using spaceborne LiDAR X. Zhang et al. https://doi.org/10.1080/17538947.2025.2505631
18. Global DEMs vary from one to another: an evaluation of newly released Copernicus, NASA and AW3D30 DEM on selected terrains of China using ICESat-2 altimetry data H. Li et al. https://doi.org/10.1080/17538947.2022.2094002
19. Performance assessment of global open‐access digital elevation models in China mainland coastal region H. Ding et al. https://doi.org/10.1002/esp.5677
20. Extraction of high-accuracy control points using ICESat-2 ATL03 in urban areas W. Lian et al. https://doi.org/10.1016/j.jag.2022.103116
21. Assessing open‐access digital elevation models for hydrological applications in a large scale plain: Drainage networks, shallow water bodies and vertical accuracy A. Golin et al. https://doi.org/10.1002/esp.6035
22. Height-Constrained Planimetric Geolocation Error Compensation for Elevation Refinement After InSAR-DSM Block Adjustment L. Liu et al. https://doi.org/10.1109/TGRS.2025.3605725