ASSESSMENT OF CANOPY AND GROUND HEIGHT ACCURACY FROM GEDI LIDAR OVER STEEP MOUNTAIN AREAS

21 citations as recorded by crossref.

1. Integration of Structural Characteristics from GEDI Waveforms for Improved Forest Type Classification M. McClure et al. 10.3390/rs16244776
2. Hyperspectral and LiDAR space-borne data for assessing mountain forest volume and biomass R. Ceriani et al. 10.1016/j.jag.2025.104614
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6. Quantification of GEDI Geolocation Error and Its Influence on Elevation and Canopy Height C. Yang et al. 10.1109/JSTARS.2024.3461843
7. Application of Random Forest Method Based on Sensitivity Parameter Analysis in Height Inversion in Changbai Mountain Forest Area X. Wang et al. 10.3390/f15071161
8. Maximum tree height in European Mountains decreases above a climate-related elevation threshold P. Gelabert et al. 10.1038/s43247-024-01246-5
9. Assessment of terrain elevation estimates from ICESat-2 and GEDI spaceborne LiDAR missions across different land cover and forest types M. Urbazaev et al. 10.1016/j.srs.2022.100067
10. Use of GEDI Signal and Environmental Parameters to Improve Canopy Height Estimation over Tropical Forest Ecosystems in Mayotte Island K. Lahssini et al. 10.1080/07038992.2024.2351004
11. Accuracy assessment of GEDI terrain elevation, canopy height, and aboveground biomass density estimates in Japanese artificial forests H. Li et al. 10.1016/j.srs.2024.100144
12. Canopy height mapping in French Guiana using multi-source satellite data and environmental information in a U-Net architecture K. Lahssini et al. 10.3389/frsen.2024.1484900
13. Role of LiDAR remote sensing in identifying physiognomic traits of alpine treeline: a global review J. Mathew et al. 10.1007/s42965-023-00317-6
14. Optimizing GEDI Canopy Height Estimation and Analyzing Error Impact Factors Under Highly Complex Terrain and High-Density Vegetation Conditions R. Chen et al. 10.3390/f15112024
15. Canopy height and biomass distribution across the forests of Iberian Peninsula Y. Su et al. 10.1038/s41597-025-05021-9
16. Performance of GEDI Space-Borne LiDAR for Quantifying Structural Variation in the Temperate Forests of South-Eastern Australia S. Dhargay et al. 10.3390/rs14153615
17. Large-scale monitoring of inland water surface levels with GEDI data: an operational cloud-based approach in Google Earth Engine A. Hamoudzadeh et al. 10.1080/15481603.2025.2483027
18. Forest Canopy Height Extraction Method Based on ICESat-2/ATLAS Data X. Huang et al. 10.1109/TGRS.2023.3240848
19. Satellite-based mapping of canopy fuels at the pan-European scale E. Kutchartt et al. 10.1080/10095020.2024.2429376
20. How to get closer to actual forest stand height using GEDI? A case study in central European Scots pine stands W. Krawczyk & P. Wężyk 10.1080/22797254.2024.2399209
21. Evaluating Lorenz entropy for tropical forest discrimination using GEDI and supervised machine learning approach N. Mashhadi & A. Sanchez-Azofeifa 10.1016/j.ecolind.2025.113374