9 citations as recorded by crossref.

1. Examining the Impact of Topography and Vegetation on Existing Forest Canopy Height Products from ICESat-2 ATLAS/GEDI Data Y. Li et al. 10.3390/rs16193650
2. High-resolution sensors and deep learning models for tree resource monitoring M. Brandt et al. 10.1038/s44287-024-00116-8
3. Assessment of Pinus halepensis Forests’ Vulnerability Using the Temporal Dynamics of Carbon Stocks and Fire Traits in Tunisia F. Rezgui et al. 10.3390/fire7060204
4. Forest practitioners’ requirements for remote sensing-based canopy height, wood-volume, tree species, and disturbance products F. Fassnacht et al. 10.1093/forestry/cpae021
5. Global carbon balance of the forest: satellite-based L-VOD results over the last decade J. Wigneron et al. 10.3389/frsen.2024.1338618
6. Using Structural Class Pairing to Address the Spatial Mismatch Between GEDI Measurements and NFI Plots N. Besic et al. 10.1109/JSTARS.2024.3425431
7. Combining satellite images with national forest inventory measurements for monitoring post-disturbance forest height growth A. Pellissier-Tanon et al. 10.3389/frsen.2024.1432577
8. FORMS: Forest Multiple Source height, wood volume, and biomass maps in France at 10 to 30 m resolution based on Sentinel-1, Sentinel-2, and Global Ecosystem Dynamics Investigation (GEDI) data with a deep learning approach M. Schwartz et al. 10.5194/essd-15-4927-2023
9. High-resolution data reveal a surge of biomass loss from temperate and Atlantic pine forests, contextualizing the 2022 fire season distinctiveness in France L. Vallet et al. 10.5194/bg-20-3803-2023