26 citations as recorded by crossref.

1. Seeing the wood for the trees: Carbon storage and conservation in temperate forests of the Himalayas I. Måren & L. Sharma 10.1016/j.foreco.2021.119010
2. Deciphering the fingerprint of disturbance on the three‐dimensional structure of the world’s forests T. Jucker 10.1111/nph.17729
3. The European Space Agency BIOMASS mission: Measuring forest above-ground biomass from space S. Quegan et al. 10.1016/j.rse.2019.03.032
4. Multisensor Data Fusion for Improved Segmentation of Individual Tree Crowns in Dense Tropical Forests M. Aubry-Kientz et al. 10.1109/JSTARS.2021.3069159
5. Interferometric Ground Cancellation for Above Ground Biomass Estimation M. Mariotti d'Alessandro et al. 10.1109/TGRS.2020.2976854
6. UAV-based canopy textures assess changes in forest structure from long-term degradation C. Bourgoin et al. 10.1016/j.ecolind.2020.106386
7. What controls local-scale aboveground biomass variation in central Africa? Testing structural, composition and architectural attributes G. Loubota Panzou et al. 10.1016/j.foreco.2018.07.056
8. Structure metrics to generalize biomass estimation from lidar across forest types from different continents N. Knapp et al. 10.1016/j.rse.2019.111597
9. The BIOMASS Level 2 Prototype Processor: Design and Experimental Results of Above-Ground Biomass Estimation F. Banda et al. 10.3390/rs12060985
10. Estimating aboveground carbon density and its uncertainty in Borneo's structurally complex tropical forests using airborne laser scanning T. Jucker et al. 10.5194/bg-15-3811-2018
11. Tropical tree size–frequency distributions from airborne lidar A. Ferraz et al. 10.1002/eap.2154
12. Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission L. Duncanson et al. 10.1016/j.rse.2021.112845
13. Mapping Canopy Heights in Dense Tropical Forests Using Low-Cost UAV-Derived Photogrammetric Point Clouds and Machine Learning Approaches H. Zhang et al. 10.3390/rs13183777
14. Impacts of selective logging on Amazon forest canopy structure and biomass with a LiDAR and photogrammetric survey sequence M. d'Oliveira et al. 10.1016/j.foreco.2021.119648
15. Old growth Afrotropical forests critical for maintaining forest carbon J. Poulsen et al. 10.1111/geb.13150
16. AGB Estimation in a Tropical Mountain Forest (TMF) by Means of RGB and Multispectral Images Using an Unmanned Aerial Vehicle (UAV) V. González-Jaramillo et al. 10.3390/rs11121413
17. Diversity, distribution and dynamics of large trees across an old-growth lowland tropical rain forest landscape D. Clark et al. 10.1371/journal.pone.0224896
18. Forest degradation and biomass loss along the Chocó region of Colombia V. Meyer et al. 10.1186/s13021-019-0117-9
19. Ground and Volume Decomposition as a Proxy for AGB from P-Band SAR Data F. Banda et al. 10.3390/rs12020240
20. Aboveground Biomass Estimation in Amazonian Tropical Forests: a Comparison of Aircraft- and GatorEye UAV-borne LiDAR Data in the Chico Mendes Extractive Reserve in Acre, Brazil M. d’Oliveira et al. 10.3390/rs12111754
21. Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests L. Terryn et al. 10.1016/j.rse.2022.112912
22. Carbon storage potential in degraded forests of Kalimantan, Indonesia A. Ferraz et al. 10.1088/1748-9326/aad782
23. Pantropical variability in tree crown allometry G. Loubota Panzou et al. 10.1111/geb.13231
24. Tree Biomass Equations from Terrestrial LiDAR: A Case Study in Guyana A. Lau et al. 10.3390/f10060527
25. The Status of Technologies to Measure Forest Biomass and Structural Properties: State of the Art in SAR Tomography of Tropical Forests S. Tebaldini et al. 10.1007/s10712-019-09539-7
26. Savanna vegetation structure in the Brazilian Cerrado allows for the accurate estimation of aboveground biomass using terrestrial laser scanning B. Zimbres et al. 10.1016/j.foreco.2019.117798