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

23 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
3. Latin Hypercube Sampling improves estimation of the GEDI-based forest canopy height: a case study in Jiangxi Province, China Y. Shu et al. 10.1080/01431161.2025.2557583
4. Spaceborne LiDAR for characterizing forest structure across scales in the European Alps L. Mandl et al. 10.1002/rse2.330
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7. Quantification of GEDI Geolocation Error and Its Influence on Elevation and Canopy Height C. Yang et al. 10.1109/JSTARS.2024.3461843
8. 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
9. Maximum tree height in European Mountains decreases above a climate-related elevation threshold P. Gelabert et al. 10.1038/s43247-024-01246-5
10. 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
11. 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
12. 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
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14. 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
15. 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
16. Canopy height and biomass distribution across the forests of Iberian Peninsula Y. Su et al. 10.1038/s41597-025-05021-9
17. Evaluating the accuracy of ground elevation estimates from GEDI satellite LiDAR in forested terrain M. Cățeanu 10.1080/10095020.2025.2555385
18. 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
19. 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
20. Forest Canopy Height Extraction Method Based on ICESat-2/ATLAS Data X. Huang et al. 10.1109/TGRS.2023.3240848
21. Satellite-based mapping of canopy fuels at the pan-European scale E. Kutchartt et al. 10.1080/10095020.2024.2429376
22. 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
23. 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