44 citations as recorded by crossref.

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2. Effect of assisted natural regeneration on forest biomass and carbon stocks in the Living Mountain Lab (LML), Lalitpur, Nepal N. Joshi et al. 10.1016/j.envc.2024.100858
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6. The BIOMASS Level 2 Prototype Processor: Design and Experimental Results of Above-Ground Biomass Estimation F. Banda et al. 10.3390/rs12060985
7. Residents’ Willingness to Pay for Forest Ecosystem Services Based on Forest Ownership Classification in South Korea Y. Son et al. 10.3390/f15030551
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10. Estimating vegetation structure and aboveground carbon storage in Western Australia using GEDI LiDAR, Landsat and Sentinel data N. Lutz et al. 10.1088/2752-664X/ad7f5a
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13. 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
14. 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
15. Forest degradation and biomass loss along the Chocó region of Colombia V. Meyer et al. 10.1186/s13021-019-0117-9
16. Ground and Volume Decomposition as a Proxy for AGB from P-Band SAR Data F. Banda et al. 10.3390/rs12020240
17. 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
18. Sparse large trees in secondary and planted forests highlight the need to improve forest conservation and management C. Jin et al. 10.1016/j.scitotenv.2024.176363
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28. UAV-based canopy textures assess changes in forest structure from long-term degradation C. Bourgoin et al. 10.1016/j.ecolind.2020.106386
29. 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
30. 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
31. Structure metrics to generalize biomass estimation from lidar across forest types from different continents N. Knapp et al. 10.1016/j.rse.2019.111597
32. Mapping tropical forest aboveground biomass using airborne SAR tomography N. Ramachandran et al. 10.1038/s41598-023-33311-y
33. Estimating Biomass in Eucalyptus globulus and Pinus pinaster Forests Using UAV-Based LiDAR in Central and Northern Portugal L. Ferreira et al. 10.3390/land14071460
34. Effect of Forest Management on Carbon Stock of Tropical Moist Afromontane Forest D. Daba et al. 10.1155/2022/3691638
35. 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
36. LiDAR-derived Lorenz-entropy metric for vertical structural complexity: A comparative study of tropical dry and moist forests N. Mashhadi et al. 10.1016/j.rse.2024.114545
37. Tropical tree size–frequency distributions from airborne lidar A. Ferraz et al. 10.1002/eap.2154
38. Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission L. Duncanson et al. 10.1016/j.rse.2021.112845
39. Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning B. Brede et al. 10.1016/j.rse.2022.113180
40. Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests L. Terryn et al. 10.1016/j.rse.2022.112912
41. Indicators for monitoring reduced impact logging in the Brazilian amazon derived from airborne laser scanning technology Q. Barros et al. 10.1016/j.ecoinf.2024.102654
42. Tree Biomass Equations from Terrestrial LiDAR: A Case Study in Guyana A. Lau et al. 10.3390/f10060527
43. 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
44. 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