10 citations as recorded by crossref.

1. Tracking Amazon forest succession after large-scale windthrow events J. David Urquiza-Muñoz et al. https://doi.org/10.1088/2752-664X/ae6784
2. LiDAR-Guided Semantic 3D Gaussian Splatting for Forest Digital Twins Z. Zhou et al. https://doi.org/10.3390/rs18111696
3. A versatile classification model for assessing tree crown components across Central Amazon forests using RGB drone imagery A. Simonetti et al. https://doi.org/10.1016/j.rse.2026.115428
4. Revealing forest structural "fingerprints": An integration of LiDAR and deep learning uncovers topographical influences on Central Amazon forests N. Gonçalves et al. https://doi.org/10.1016/j.ecoinf.2024.102628
5. Canopy gaps and associated losses of biomass – combining UAV imagery and field data in a central Amazon forest A. Simonetti et al. https://doi.org/10.5194/bg-20-3651-2023
6. Integrating multi-source data for canopy gap detection and distribution modeling in a mixed forest ecosystem P. Donev et al. https://doi.org/10.1007/s10661-025-14927-1
7. Mortality correlates with tree functional traits across a wood density gradient in the Central Amazon V. Menezes et al. https://doi.org/10.3389/fpls.2025.1572767
8. Comprehensive uncrewed aerial system data for Amazon rainforest at Tiputini Biodiversity Station, Ecuador M. Jung et al. https://doi.org/10.1038/s41597-026-06894-0
9. Deriving and assessing forest gap thresholds to prevent shallow landslides in Swiss mountain forests A. Bast et al. https://doi.org/10.1016/j.foreco.2026.123589
10. Soil fertility controls on tropical forest productivity and mortality: synthesis and roadmap M. Wong et al. https://doi.org/10.1111/nph.71367