94 citations as recorded by crossref.

1. Spatial and temporal dynamics of forest aboveground carbon stocks in response to climate and environmental changes L. Fu et al. 10.1007/s11368-014-1050-x
2. Object-Based Mapping of Aboveground Biomass in Tropical Forests Using LiDAR and Very-High-Spatial-Resolution Satellite Data Y. Hirata et al. 10.3390/rs10030438
3. Human and environmental controls over aboveground carbon storage in Madagascar G. Asner et al. 10.1186/1750-0680-7-2
4. Carbono almacenado en plantaciones forestales en el distrito de Mariano Dámaso Beraún, Huánuco - Perú J. Rengifo Trigozo et al. 10.54288/yotantsipanko.v1i2.6
5. Estimating the impacts of conservation on ecosystem services and poverty by integrating modeling and evaluation P. Ferraro et al. 10.1073/pnas.1406487112
6. Estimating above-ground biomass of tropical rainforest of different degradation levels in Northern Borneo using airborne LiDAR K. Ioki et al. 10.1016/j.foreco.2014.06.003
7. Environmental drivers of tree community turnover in western Amazonian forests C. Baldeck et al. 10.1111/ecog.01575
8. Above- and belowground carbon stocks are decoupled in secondary tropical forests and are positively related to forest age and soil nutrients respectively I. Jones et al. 10.1016/j.scitotenv.2019.133987
9. Successional shifts in tree demographic strategies in wet and dry Neotropical forests N. Rüger et al. 10.1111/geb.13669
10. Using LiDAR Data to Measure the 3D Green Biomass of Beijing Urban Forest in China C. He et al. 10.1371/journal.pone.0075920
11. Mapping tropical forest carbon: Calibrating plot estimates to a simple LiDAR metric G. Asner & J. Mascaro 10.1016/j.rse.2013.09.023
12. Lianas reduce carbon accumulation and storage in tropical forests G. van der Heijden et al. 10.1073/pnas.1504869112
13. Large-scale estimation of change in aboveground biomass in miombo woodlands using airborne laser scanning and national forest inventory data L. Ene et al. 10.1016/j.rse.2016.10.046
14. Assessing scale‐dependent effects on Forest biomass productivity based on machine learning J. He et al. 10.1002/ece3.9110
15. Tree Diversity, Structure and Functional Trait Identity Promote Stand Biomass Along Elevational Gradients in Subtropical Forests of Southern China A. Wu et al. 10.1029/2022JG006950
16. Comparison of Small- and Large-Footprint Lidar Characterization of Tropical Forest Aboveground Structure and Biomass: A Case Study From Central Gabon C. Silva et al. 10.1109/JSTARS.2018.2816962
17. Carbon stored in forest plantations in The Mariano Dámaso Beraún District, Huánuco – Perú J. Rengifo Trigozo et al. 10.54288/yotantsipanko.v1i1.6
18. Size‐related scaling of tree form and function in a mixed‐age forest K. Anderson‐Teixeira et al. 10.1111/1365-2435.12470
19. Landscape-Scale Controls on Aboveground Forest Carbon Stocks on the Osa Peninsula, Costa Rica P. Taylor et al. 10.1371/journal.pone.0126748
20. Understanding Measurement Reporting and Verification Systems for REDD+ as an Investment for Generating Carbon Benefits G. Di Lallo et al. 10.3390/f8080271
21. Aboveground Biomass Estimation Using Structure from Motion Approach with Aerial Photographs in a Seasonal Tropical Forest T. Ota et al. 10.3390/f6113882
22. Species identity influences secondary removal of seeds of Neotropical pioneer tree species S. Ruzi et al. 10.1007/s11258-017-0745-7
23. Variations in the biomass of Eucalyptus plantations at a regional scale in Southern China Q. Qiu et al. 10.1007/s11676-017-0534-0
24. Effects of abiotic and biotic factors on woody plant diversity across vertical strata in a temperate forest W. Zhang et al. 10.1007/s11258-023-01370-w
25. Tropical trees in a wind‐exposed island ecosystem: height‐diameter allometry and size at onset of maturity S. Thomas et al. 10.1111/1365-2745.12378
26. Spectral niche segregation and community organization in a tropical cricket assemblage A. Schmidt et al. 10.1093/beheco/ars187
27. Topographic distributions of emergent trees in tropical forests of the Osa Peninsula, Costa Rica C. Balzotti et al. 10.1111/ecog.02062
28. High-fidelity national carbon mapping for resource management and REDD+ G. Asner et al. 10.1186/1750-0680-8-7
29. Carnegie Airborne Observatory-2: Increasing science data dimensionality via high-fidelity multi-sensor fusion G. Asner et al. 10.1016/j.rse.2012.06.012
30. Stand age and soils as drivers of plant functional traits and aboveground biomass in secondary tropical dry forest J. Becknell & J. Powers 10.1139/cjfr-2013-0331
31. Ecosystem services research in Latin America: The state of the art P. Balvanera et al. 10.1016/j.ecoser.2012.09.006
32. Impact of data model and point density on aboveground forest biomass estimation from airborne LiDAR M. Garcia et al. 10.1186/s13021-017-0073-1
33. Hydrological Networks and Associated Topographic Variation as Templates for the Spatial Organization of Tropical Forest Vegetation M. Detto et al. 10.1371/journal.pone.0076296
34. Field-independent carbon mapping and quantification in forest plantation through remote sensing S. Francini et al. 10.1080/22797254.2024.2334717
35. Soils and topography control natural disturbance rates and thereby forest structure in a lowland tropical landscape K. Cushman et al. 10.1111/ele.13978
36. Mapping selective logging impacts in Borneo with GPS and airborne lidar P. Ellis et al. 10.1016/j.foreco.2016.01.020
37. Quantifying Dynamics in Tropical Peat Swamp Forest Biomass with Multi-Temporal LiDAR Datasets S. Englhart et al. 10.3390/rs5052368
38. Patterns in a species‐rich tropical understory plant community J. Denslow et al. 10.1111/btp.12704
39. Topographic Variation in Aboveground Biomass in a Subtropical Evergreen Broad-Leaved Forest in China D. Lin et al. 10.1371/journal.pone.0048244
40. Spatial variability in tropical forest leaf area density from multireturn lidar and modeling M. Detto et al. 10.1002/2014JG002774
41. A question of scale: modeling biomass, gain and mortality distributions of a tropical forest N. Knapp et al. 10.5194/bg-19-4929-2022
42. Scale-dependence of aboveground carbon accumulation in secondary forests of Panama: A test of the intermediate peak hypothesis J. Mascaro et al. 10.1016/j.foreco.2012.03.032
43. Regional-Scale Drivers of Forest Structure and Function in Northwestern Amazonia M. Higgins et al. 10.1371/journal.pone.0119887
44. Spatial genetic structure in four understory Psychotria species (Rubiaceae) and implications for tropical forest diversity T. Theim et al. 10.3732/ajb.1300460
45. Aboveground Biomass Changes in Tropical Montane Forest of Northern Borneo Estimated Using Spaceborne and Airborne Digital Elevation Data H. Loh et al. 10.3390/rs12223677
46. Effects of lightning on trees: A predictive model based on in situ electrical resistivity E. Gora et al. 10.1002/ece3.3347
47. Model-Assisted Estimation of Tropical Forest Biomass Change: A Comparison of Approaches N. Knapp et al. 10.3390/rs10050731
48. Effects of topography, soil type and forest age on the frequency and size distribution of canopy gap disturbances in a tropical forest E. Lobo & J. Dalling 10.5194/bg-10-6769-2013
49. Disentangling the factors that contribute to variation in forest biomass increments in the mid-subtropical forests of China Y. Ren et al. 10.1007/s11676-016-0237-y
50. Reducing Uncertainty in Mapping of Mangrove Aboveground Biomass Using Airborne Discrete Return Lidar Data F. Rocha de Souza Pereira et al. 10.3390/rs10040637
51. Carbon Content of Tree Tissues: A Synthesis S. Thomas & A. Martin 10.3390/f3020332
52. Lianas and soil nutrients predict fine‐scale distribution of above‐ground biomass in a tropical moist forest A. Ledo et al. 10.1111/1365-2745.12635
53. Airborne LiDAR derived canopy height model reveals a significant difference in radiata pine (Pinus radiata D. Don) heights based on slope and aspect of sites H. Saremi et al. 10.1007/s00468-014-0985-2
54. Detecting tropical forest biomass dynamics from repeated airborne lidar measurements V. Meyer et al. 10.5194/bg-10-5421-2013
55. Seeing the forest beyond the trees S. Saatchi et al. 10.1111/geb.12256
56. Organismic Remote Sensing for Tropical Forest Ecology and Conservation1,2 G. Asner 10.3417/2012016
57. Evaluating uncertainty in mapping forest carbon with airborne LiDAR J. Mascaro et al. 10.1016/j.rse.2011.07.019
58. Spatial scale and sampling resolution affect measures of gap disturbance in a lowland tropical forest: implications for understanding forest regeneration and carbon storage E. Lobo & J. Dalling 10.1098/rspb.2013.3218
59. Integrating lidar with Landsat data for subalpine temperate forest aboveground carbon estimation J. Du et al. 10.1080/01431161.2015.1101651
60. Estimating aboveground carbon density across forest landscapes of Hawaii: Combining FIA plot-derived estimates and airborne LiDAR R. Hughes et al. 10.1016/j.foreco.2018.04.053
61. UAV LiDAR for below-canopy forest surveys R. Chisholm et al. 10.1139/juvs-2013-0017
62. Estimating aboveground carbon using airborne LiDAR in Cambodian tropical seasonal forests for REDD+ implementation T. Ota et al. 10.1007/s10310-015-0504-3
63. A new approach to derive productivity of tropical forests using radar remote sensing measurements H. Henniger et al. 10.1098/rsos.231186
64. Modeling Aboveground Biomass in Dense Tropical Submontane Rainforest Using Airborne Laser Scanner Data E. Hansen et al. 10.3390/rs70100788
65. Tree aboveground biomass and species richness of the mature tropical forests of Darien, Panama, and their role in global climate change mitigation and biodiversity conservation J. Mateo‐Vega et al. 10.1111/csp2.42
66. High-resolution mapping of forest carbon stocks in the Colombian Amazon G. Asner et al. 10.5194/bg-9-2683-2012
67. Predicting carbon benefits from climate-smart agriculture: High-resolution carbon mapping and uncertainty assessment in El Salvador S. Kearney et al. 10.1016/j.jenvman.2017.07.039
68. Linking lidar and forest modeling to assess biomass estimation across scales and disturbance states N. Knapp et al. 10.1016/j.rse.2017.11.018
69. 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
70. Mapping Above-Ground Carbon Stocks at the Landscape Scale to Support a Carbon Compensation Mechanism: The Chocó Andino Case Study F. Cuesta et al. 10.3390/f14091903
71. Modelling above-ground carbon dynamics using multi-temporal airborne lidar: insights from a Mediterranean woodland W. Simonson et al. 10.5194/bg-13-961-2016
72. Leaf traits and canopy structure together explain canopy functional diversity: an airborne remote sensing approach A. Kamoske et al. 10.1002/eap.2230
73. A Tale of Two “Forests”: Random Forest Machine Learning Aids Tropical Forest Carbon Mapping J. Mascaro et al. 10.1371/journal.pone.0085993
74. Integrating high resolution drone imagery and forest inventory to distinguish canopy and understory trees and quantify their contributions to forest structure and dynamics R. Araujo et al. 10.1371/journal.pone.0243079
75. Increasing the Accuracy of Mapping Urban Forest Carbon Density by Combining Spatial Modeling and Spectral Unmixing Analysis H. Sun et al. 10.3390/rs71115114
76. Microtopographic Variation in Biomass and Diversity of Living and Dead Wood in a Forest in Dongling Mountains, China F. Ma et al. 10.3390/f14102111
77. Tropical montane forests are a larger than expected global carbon store D. Spracklen & R. Righelato 10.5194/bg-11-2741-2014
78. Modeling the topographic influence on aboveground biomass using a coupled model of hillslope hydrology and ecosystem dynamics Y. Fang et al. 10.5194/gmd-15-7879-2022
79. Bird Occupancy of a Neotropical Forest Fragment Is Mostly Stable over 17 Years but Influenced by Forest Age M. Campos-Cerqueira et al. 10.3390/d13020050
80. Spatial variation in community structure of a subtropical evergreen broad-leaved forest: Implications for sampling design D. Lin et al. 10.1007/s11434-012-5586-0
81. Estimation of Above Ground Biomass in a Tropical Mountain Forest in Southern Ecuador Using Airborne LiDAR Data V. González-Jaramillo et al. 10.3390/rs10050660
82. A universal airborne LiDAR approach for tropical forest carbon mapping G. Asner et al. 10.1007/s00442-011-2165-z
83. Adult mortality in a low‐density tree population using high‐resolution remote sensing J. Kellner & S. Hubbell 10.1002/ecy.1847
84. Estimation of Aboveground Biomass Using Manual Stereo Viewing of Digital Aerial Photographs in Tropical Seasonal Forest K. Shimizu et al. 10.3390/land3041270
85. Dry season soil water potential maps of a 50 hectare tropical forest plot on Barro Colorado Island, Panama S. Kupers et al. 10.1038/s41597-019-0072-z
86. Measuring tree height: a quantitative comparison of two common field methods in a moist tropical forest M. Larjavaara et al. 10.1111/2041-210X.12071
87. Do lianas shape ant communities in an early successional tropical forest? B. Adams et al. 10.1111/btp.12709
88. Using repeated small-footprint LiDAR acquisitions to infer spatial and temporal variations of a high-biomass Neotropical forest M. Réjou-Méchain et al. 10.1016/j.rse.2015.08.001
89. Linking imaging spectroscopy and LiDAR with floristic composition and forest structure in Panama M. Higgins et al. 10.1016/j.rse.2013.09.032
90. Estimating carbon stock in secondary forests: Decisions and uncertainties associated with allometric biomass models M. van Breugel et al. 10.1016/j.foreco.2011.07.018
91. Crown allometries are less responsive than stem allometry to tree size and habitat variations in an Indian monsoon forest C. Antin et al. 10.1007/s00468-013-0896-7
92. Resource‐based habitat associations in a neotropical liana community J. Dalling et al. 10.1111/j.1365-2745.2012.01989.x
93. Above ground biomass estimation in an African tropical forest with lidar and hyperspectral data G. Vaglio Laurin et al. 10.1016/j.isprsjprs.2014.01.001
94. Movement patterns of three arboreal primates in a Neotropical moist forest explained by LiDAR-estimated canopy structure K. McLean et al. 10.1007/s10980-016-0367-9