63 citations as recorded by crossref.

1. Monitoring Spatiotemporal Variation of Individual Tree Biomass Using Multitemporal LiDAR Data Z. Qi et al. 10.3390/rs15194768
2. Un modelo alométrico pantropical global y local F. Paz-Pellat 10.21829/myb.2021.2742446
3. Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning B. Brede et al. 10.1016/j.rse.2022.113180
4. Modelling above-ground live trees biomass and carbon stock estimation of tropical lowland Dipterocarp forest: integration of field-based and remotely sensed estimates N. Mohd Zaki et al. 10.1080/01431161.2017.1421793
5. Performance evaluation of individual tree detection and segmentation algorithms using ALS data in Chir Pine (Pinus roxburghii) forest T. Saeed et al. 10.1016/j.rsase.2024.101178
6. Inverting Aboveground Biomass–Canopy Texture Relationships in a Landscape of Forest Mosaic in the Western Ghats of India Using Very High Resolution Cartosat Imagery S. Pargal et al. 10.3390/rs9030228
7. Allometric equations for estimating biomass of natural shrubs and young trees of subtropical forests J. Chen et al. 10.1007/s11056-023-09963-z
8. Individual tree volume estimation with terrestrial laser scanning: Evaluating reconstructive and allometric approaches A. Bornand et al. 10.1016/j.agrformet.2023.109654
9. Terrestrial laser scanning in forest ecology: Expanding the horizon K. Calders et al. 10.1016/j.rse.2020.112102
10. Coupling of environmental factors and growth stages in simulation of maize biomass allocation R. Zhang et al. 10.1007/s11104-022-05794-7
11. A 3D approach to model the taper of irregular tree stems: making plots biomass estimates comparable in tropical forests S. Bauwens et al. 10.1002/eap.2451
12. Terrestrial photogrammetry: a non‐destructive method for modelling irregularly shaped tropical tree trunks S. Bauwens et al. 10.1111/2041-210X.12670
13. Contrasted allometries between stem diameter, crown area, and tree height in five tropical biogeographic areas E. Blanchard et al. 10.1007/s00468-016-1424-3
14. Height-diameter allometry and above ground biomass in tropical montane forests: Insights from the Albertine Rift in Africa G. Imani et al. 10.1371/journal.pone.0179653
15. An Effective Method for InSAR Mapping of Tropical Forest Degradation in Hilly Areas H. Carstairs et al. 10.3390/rs14030452
16. Allometric equations for estimating oil palm stem biomass in the ecological context of Benin, West Africa H. Aholoukpè et al. 10.1007/s00468-018-1742-8
17. Assessment of Bias in Pan-Tropical Biomass Predictions A. Burt et al. 10.3389/ffgc.2020.00012
18. Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: A comparison with traditional destructive approach S. Momo Takoudjou et al. 10.1111/2041-210X.12933
19. Leveraging Signatures of Plant Functional Strategies in Wood Density Profiles of African Trees to Correct Mass Estimations From Terrestrial Laser Data S. Momo et al. 10.1038/s41598-020-58733-w
20. Aboveground biomass allometric equations and carbon content of the shea butter tree (Vitellaria paradoxa C.F. Gaertn., Sapotaceae) components in Sudanian savannas (West Africa) K. Dimobe et al. 10.1007/s10457-018-0213-y
21. Patterns and mechanisms of spatial variation in tropical forest productivity, woody residence time, and biomass H. Muller‐Landau et al. 10.1111/nph.17084
22. Aboveground biomass partitioning and additive models for Combretum glutinosum and Terminalia laxiflora in West Africa K. Dimobe et al. 10.1016/j.biombioe.2018.04.022
23. Allometric equations for integrating remote sensing imagery into forest monitoring programmes T. Jucker et al. 10.1111/gcb.13388
24. Towards linking species traits to demography and assembly in diverse tree communities: Revisiting the importance of size and allocation Y. Iida & N. Swenson 10.1111/1440-1703.12175
25. Allometric equations for biomass and carbon pool estimation in short rotation Pinus radiata stands of the Western Cape, South Africa L. Pienaar et al. 10.1007/s10342-024-01730-9
26. Toward a general tropical forest biomass prediction model from very high resolution optical satellite images P. Ploton et al. 10.1016/j.rse.2017.08.001
27. Leveraging plant hydraulics to yield predictive and dynamic plant leaf allocation in vegetation models with climate change A. Trugman et al. 10.1111/gcb.14814
28. Equivalencia entre modelos alométricos y alometría pantropical flexible F. Paz-Pellat & A. Velázquez-Rodríguez 10.21829/myb.2021.2742444
29. Complementary allometric model of understory tree biomass in the semi-deciduous rainforest of Cameroon A. Ntonmen et al. 10.1590/0102-33062020abb0475
30. Accurate Estimation of Commercial Volume in Tropical Forests R. de Lima et al. 10.1093/forsci/fxaa032
31. Pantropical variability in tree crown allometry G. Loubota Panzou et al. 10.1111/geb.13231
32. Heterogeneity and assessment uncertainties in forest characteristics and biomass carbon stocks: Important considerations for climate mitigation policies E. Mattsson et al. 10.1016/j.landusepol.2016.08.026
33. A regional allometry for the Congo basin forests based on the largest ever destructive sampling A. Fayolle et al. 10.1016/j.foreco.2018.07.030
34. Tree allometric equations for estimation of above, below and total biomass in a tropical moist forest: Case study with application to remote sensing A. Djomo & C. Chimi 10.1016/j.foreco.2017.02.022
35. Performance of Laser-Based Electronic Devices for Structural Analysis of Amazonian Terra-Firme Forests I. Pereira et al. 10.3390/rs11050510
36. Allometric equations for aboveground biomass estimation of Diospyros abyssinica (Hiern) F. White tree species D. Daba & T. Soromessa 10.1080/20964129.2019.1591169
37. Tree Biomass Equations from Terrestrial LiDAR: A Case Study in Guyana A. Lau et al. 10.3390/f10060527
38. Tropical tree allometry and crown allocation, and their relationship with species traits in central Africa G. Mankou et al. 10.1016/j.foreco.2021.119262
39. Alometría generalizada para la estimación de la biomasa aérea total de plantas leñosas: marco teórico general y aplicaciones F. Paz Pellat et al. 10.21829/myb.2021.2742442
40. Laser scanning reveals potential underestimation of biomass carbon in temperate forest K. Calders et al. 10.1002/2688-8319.12197
41. Upscaling Forest Biomass from Field to Satellite Measurements: Sources of Errors and Ways to Reduce Them M. Réjou-Méchain et al. 10.1007/s10712-019-09532-0
42. Filling the “vertical gap” between canopy tree species and understory shrub species: biomass allometric equations for subcanopy tree species X. Sun et al. 10.1007/s11676-022-01568-0
43. Forest aboveground biomass mapping and estimation across multiple spatial scales using model-based inference Q. Chen et al. 10.1016/j.rse.2016.07.023
44. Inner bark as a crucial tissue for non‐structural carbohydrate storage across three tropical woody plant communities J. Rosell et al. 10.1111/pce.13903
45. Tropical tree height and crown allometries for the Barro Colorado Nature Monument, Panama: a comparison of alternative hierarchical models incorporating interspecific variation in relation to life history traits I. Martínez Cano et al. 10.5194/bg-16-847-2019
46. Developing allometric models to predict the individual aboveground biomass of shrubs worldwide G. Conti et al. 10.1111/geb.12907
47. Optimizing aboveground carbon mapping in Afrotemperate forests to fulfil IPCC carbon reporting standards J. Fisher 10.1016/j.foreco.2023.121583
48. The accuracy of species-specific allometric equations for estimating aboveground biomass in tropical moist montane forests: case study of Albizia grandibracteata and Trichilia dregeana D. Daba & T. Soromessa 10.1186/s13021-019-0134-8
49. Allometric equations to estimate aboveground biomass of Dalbergia cearensis species in the Brazilian seasonally dry tropical forest F. Nogueira et al. 10.1016/j.foreco.2021.118920
50. 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
51. Using volume-weighted average wood specific gravity of trees reduces bias in aboveground biomass predictions from forest volume data L. Sagang et al. 10.1016/j.foreco.2018.04.054
52. Biomass Estimation Models for Six Shrub Species in Hunshandake Sandy Land in Inner Mongolia, Northern China X. Yao et al. 10.3390/f12020167
53. Estimación alométrica de biomasa arbórea mediante un enfoque generalizado a nivel de especie y multiespecie F. Paz Pellat et al. 10.21829/myb.2021.2742434
54. Allometric Models for Predicting Aboveground Biomass of Trees in the Dry Afromontane Forests of Northern Ethiopia B. Tetemke et al. 10.3390/f10121114
55. Tree allometry and stand structure in dryland forests relics of northern Côte d’Ivoire N. Gueulou et al. 10.1016/j.tfp.2023.100478
56. Improving plot-level above ground biomass estimation in tropical Indian forests R. Fararoda et al. 10.1016/j.ecoinf.2024.102621
57. New insights into large tropical tree mass and structure from direct harvest and terrestrial lidar A. Burt et al. 10.1098/rsos.201458
58. Information fusion approach for biomass estimation in a plateau mountainous forest using a synergistic system comprising UAS-based digital camera and LiDAR R. Huang et al. 10.1016/j.compag.2022.107420
59. Pan‐tropical prediction of forest structure from the largest trees J. Bastin et al. 10.1111/geb.12803
60. Taller trees, denser stands and greater biomass in semi-deciduous than in evergreen lowland central African forests A. Fayolle et al. 10.1016/j.foreco.2016.04.033
61. Lidar detection of individual tree size in tropical forests A. Ferraz et al. 10.1016/j.rse.2016.05.028
62. Estimation of above‐ground biomass of large tropical trees with terrestrial LiDAR J. Gonzalez de Tanago et al. 10.1111/2041-210X.12904
63. Does biomass growth increase in the largest trees? Flaws, fallacies and alternative analyses D. Sheil et al. 10.1111/1365-2435.12775