163 citations as recorded by crossref.

1. Tree Biomass Equations from Terrestrial LiDAR: A Case Study in Guyana A. Lau et al.
2. Modeling and Mapping Agroforestry Aboveground Biomass in the Brazilian Amazon Using Airborne Lidar Data Q. Chen et al.
3. Integrating Airborne LiDAR and Terrestrial Laser Scanner forest parameters for accurate above-ground biomass/carbon estimation in Ayer Hitam tropical forest, Malaysia M. Bazezew et al.
4. The impact of land cover change on the carbon stock of moist afromontane forests in the Majang Forest Biosphere Reserve S. Tadese et al.
5. New tree height allometries derived from terrestrial laser scanning reveal substantial discrepancies with forest inventory methods in tropical rainforests L. Terryn et al.
6. Contributions of height allometry and within-species trait variation to uncertainty in estimates of tropical forest carbon stocks H. Carle et al.
7. Change Detection of Tree Biomass with Terrestrial Laser Scanning and Quantitative Structure Modelling S. Kaasalainen et al.
8. Carbon sinks and tropical forest biomass estimation: a review on role of remote sensing in aboveground-biomass modelling N. Mohd Zaki & Z. Abd Latif
9. Combining LiDAR and hyperspectral data for aboveground biomass modeling in the Brazilian Amazon using different regression algorithms C. Almeida et al.
10. Estimation of above-ground biomass using machine learning approaches with InSAR and LiDAR data in tropical peat swamp forest of Brunei Darussalam E. Zadbagher et al.
11. Biomass Equations and Carbon Stock Estimates for the Southeastern Brazilian Atlantic Forest T. Gaui et al.
12. Mixed-Effects Height Prediction Model for Juniperus procera Trees from a Dry Afromontane Forest in Ethiopia M. Teshome et al.
13. Investigation of tropical coastal forest regeneration after farming and livestock grazing exclusion E. Ligate et al.
14. Biomass and carbon storage in an age-sequence of Acacia mangium plantation forests in Southeastern region, Vietnam C. Levan et al.
15. Identification of key parameters controlling demographically structured vegetation dynamics in a land surface model: CLM4.5(FATES) E. Massoud et al.
16. Promoting sustainability education through hands-on approaches: a tree carbon sequestration exercise in a Singapore green space S. Ramchunder & A. Ziegler
17. Retrieving Secondary Forest Aboveground Biomass from Polarimetric ALOS-2 PALSAR-2 Data in the Brazilian Amazon H. Cassol et al.
18. Predictive Models of Primary Tropical Forest Structure from Geomorphometric Variables Based on SRTM in the Tapajós Region, Brazilian Amazon P. Bispo et al.
19. Estimating Tropical Forest Structure Using a Terrestrial Lidar M. Palace et al.
20. Biomass Calculations of Individual Trees Based on Unmanned Aerial Vehicle Multispectral Imagery and Laser Scanning Combined with Terrestrial Laser Scanning in Complex Stands X. Lian et al.
21. The tree height estimated by non-power models on volumetric models provides reliable predictions of wood volume: The Amazon species height modelling issue R. Nascimento et al.
22. Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences J. Eitel et al.
23. Equations for estimating above- and belowground biomass of Norway spruce, Scots pine, birch spp. and European aspen in Latvia J. Liepiņš et al.
24. Biomass estimation in mangrove forests: a comparison of allometric models incorporating species and structural information M. Rahman et al.
25. Upscaling Forest Biomass from Field to Satellite Measurements: Sources of Errors and Ways to Reduce Them M. Réjou-Méchain et al.
26. Comparing Individual Tree Height Information Derived from Field Surveys, LiDAR and UAV-DAP for High-Value Timber Species in Northern Japan K. Moe et al.
27. Factual approach for tropical forest parameters measurement and monitoring: future option with a focus on synergetic use of airborne and terrestrial LiDAR technologies M. Bazezew et al.
28. Vegetation structure drives taxonomic diversity and functional traits of birds in urban private native forest fragments L. Campos-Silva & A. Piratelli
29. Allometric equations to quantify aboveground biomass in mixed-species plantations with restoration purposes in the tropical Andes J. Giraldo-Salazar et al.
30. Validation and Error Minimization of Global Ecosystem Dynamics Investigation (GEDI) Relative Height Metrics in the Amazon A. East et al.
31. Greater stem growth, woody allocation, and aboveground biomass in Paleotropical forests than in Neotropical forests P. Taylor et al.
32. Estimation of coarse dead wood stocks in intact and degraded forests in the Brazilian Amazon using airborne lidar M. Scaranello et al.
33. Drones as a Tool for Monoculture Plantation Assessment in the Steepland Tropics E. Miller et al.
34. Trunk volume estimation of irregular shaped Populus euphratica riparian forest using TLS point cloud data and multivariate prediction models A. Yusup et al.
35. How far need to go from peak to neutrality? Perspective from energy consumption emission offset analysis in Beijing-Tianjin-Hebei Agglomeration W. Wu et al.
36. Tropical secondary forests regenerating after shifting cultivation in the Philippines uplands are important carbon sinks S. Mukul et al.
37. The relevance of using in situ carbon and nitrogen data and satellite images to assess aboveground carbon and nitrogen stocks for supporting national REDD + programmes in Africa A. Chabi et al.
38. Use of MODIS Sensor Images Combined with Reanalysis Products to Retrieve Net Radiation in Amazonia G. De Oliveira et al.
39. Exploring the Inclusion of Small Regenerating Trees to Improve Above-Ground Forest Biomass Estimation Using Geospatial Data A. Le et al.
40. Canopy Height Estimation Using Sentinel Series Images through Machine Learning Models in a Mangrove Forest S. Ghosh et al.
41. Model-Based Estimation of Amazonian Forests Recovery Time after Drought and Fire Events B. De Faria et al.
42. Estimating above-ground biomass of subtropical forest using airborne LiDAR in Hong Kong E. Chan et al.
43. Evaluation of error and efficiency on tree height measurement using Abney’s level, Rangefinder and Vertex IV S. Aryal et al.
44. Tropical tree size–frequency distributions from airborne lidar A. Ferraz et al.
45. Tree biomass in the Swiss landscape: nationwide modelling for improved accounting for forest and non-forest trees B. Price et al.
46. Rapid, High-Resolution Forest Structure and Terrain Mapping over Large Areas using Single Photon Lidar A. Swatantran et al.
47. Inferring Agronomical Insights for Wheat Canopy Using Image-Based Curve Fit K -Means Segmentation Algorithm and Statistical Analysis A. Gupta et al.
48. Height–diameter allometric models for commercial species in the south-western region of the Brazilian Amazon L. Ciarnoschi et al.
49. Forest canopy height mapping using ICESat-2 data to aid forest management in a Canadian Arctic community: A case study of Kluane First Nation, Yukon, Canada R. Sankar et al.
50. Seasonal Impacts on Individual Tree Detection and Height Extraction Using UAV-LiDAR: Preliminary Study of Planted Deciduous Stand W. Wu et al.
51. Review of allometric equations for major land covers in SE Asia: Uncertainty and implications for above- and below-ground carbon estimates J. Yuen et al.
52. Integrating climate, soil and stand structure into allometric models: An approach of site-effects on tree allometry in Atlantic Forest V. Cysneiros et al.
53. Estimating forest structure in a tropical forest using field measurements, a synthetic model and discrete return lidar data M. Palace et al.
54. Impacts of Degradation on Water, Energy, and Carbon Cycling of the Amazon Tropical Forests M. Longo et al.
55. Tree height in tropical forest as measured by different ground, proximal, and remote sensing instruments, and impacts on above ground biomass estimates G. Vaglio Laurin et al.
56. Approaches of Satellite Remote Sensing for the Assessment of Above-Ground Biomass across Tropical Forests: Pan-tropical to National Scales S. Abbas et al.
57. Allometric biomass equations for 12 tree species in coniferous and broadleaved mixed forests, Northeastern China H. He et al.
58. Plant chemistry associated dynamic modelling to enhance urban vegetation carbon sequestration potential via bioenergy harvesting K. Chan et al.
59. Extraction of tree heights in mountainous natural forests from UAV leaf-on stereoscopic imagery based on approximation of ground surfaces T. Yu et al.
60. Allometric Equations for Estimating Biomass and Carbon Stocks in the Temperate Forests of North-Western Mexico B. Vargas-Larreta et al.
61. Appraising the effects of tree height prediction uncertainty on large-scale estimates for mean wood volume per unit area for a subtropical population L. Oliveira et al.
62. El Niño drought increased canopy turnover in Amazon forests V. Leitold et al.
63. Patterns and controls on island‐wide aboveground biomass accumulation in second‐growth forests of Puerto Rico S. Martinuzzi et al.
64. Structural Dynamics of Tropical Moist Forest Gaps M. Hunter et al.
65. Height-Diameter Allometry for Tree Species in Tanzania Mainland W. Mugasha et al.
66. Tree height-diameter allometry and implications for biomass estimates in Northeastern Amazonian forests A. Baia et al.
67. Carbon storages and sequestration potentials in remnant forests of different patch sizes in northern Ethiopia: an implication for climate change mitigation M. Muluneh & B. Worku
68. To improve estimates of neotropical forest carbon stocks more direct measurements are needed: An example from the Southwestern Amazon A. Melo et al.
69. Allometric Equations for Predicting Culm Surface Area of Three Bamboo Species (Phyllostachys spp.) A. Inoue et al.
70. Aboveground biomass estimates of tropical mangrove forest using Sentinel-1 SAR coherence data - The superiority of deep learning over a semi-empirical model S. Ghosh & M. Behera
71. Developing biomass estimation models for above-ground compartments in Eucalyptus dunnii and Corymbia citriodora plantations L. Garcia_Florez et al.
72. Total tree, merchantable stem and branch volume models for miombo woodlands of Malawi D. Kachamba & T. Eid
73. SCE-BiLSTM: a hybrid deep learning model for regional forest biomass estimation with spatial-channel attention and extreme learning B. Jiang et al.
74. Effects of body size and root to shoot ratio on foliar nutrient resorption efficiency in Amaranthus mangostanus H. Peng et al.
75. Improving plot-level above ground biomass estimation in tropical Indian forests R. Fararoda et al.
76. Advancing Carbon Stock Estimation and 3D Tree Modeling: Harnessing the Potential of Low-Cost Backpack LiDAR Technology W. Prasetyo et al.
77. Analysing species site-specific tree growth, mortality and in-growth for miombo woodlands in Tanzania E. Njoghomi et al.
78. Allometric models and aboveground biomass stocks of a West African Sudan Savannah watershed in Benin A. Chabi et al.
79. Model performance of tree height-diameter relationships in the central Congo Basin E. Kearsley et al.
80. Upscaling Forest Canopy Height Estimation Using Waveform-Calibrated GEDI Spaceborne LiDAR and Sentinel-2 Data J. Wang et al.
81. Clasificación del uso de suelo y vegetación en áreas de pérdida de cobertura arbórea (2000–2016) en la cuenca del río Usumacinta C. Peralta-Carreta et al.
82. Ecuaciones de aditividad para la estimación de biomasa aérea de Pinus cembroides Zucc. J. Cuevas Cruz & M. Aquino Ramírez
83. Evaluating and modelling genus and species variation in height-to-diameter relationships for Tropical Hill Forests in Peninsular Malaysia T. Lam et al.
84. Comparison of lidar- and allometry-derived canopy height models in an eastern deciduous forest F. Sullivan et al.
85. Allometric models to estimate tree height in northern Amazonian ecotone forests R. BARBOSA et al.
86. Improving the forecasts of commercial timber volume in transition forest in the northern Brazilian Amazon R. de Lima et al.
87. lidR: An R package for analysis of Airborne Laser Scanning (ALS) data J. Roussel et al.
88. Carbon stocks and factors affecting their storage in dry Afromontane forests of Awi Zone, northwestern Ethiopia G. Gebeyehu et al.
89. The use of shadows in high spatial resolution, remotely sensed, imagery to estimate the height of individual Eucalyptus trees on undulating land N. Verma & D. Lamb
90. Estimating Aboveground Biomass in Tropical Forests: Field Methods and Error Analysis for the Calibration of Remote Sensing Observations F. Gonçalves et al.
91. Mapping and Characterizing Selected Canopy Tree Species at the Angkor World Heritage Site in Cambodia Using Aerial Data M. Singh et al.
92. Species-specific allometric models for estimation of the above-ground carbon stock in miombo woodlands of Copperbelt Province of Zambia K. Kapinga et al.
93. Allometric Models Based on Bayesian Frameworks Give Better Estimates of Aboveground Biomass in the Miombo Woodlands S. Kuyah et al.
94. Potential of mango (Mangifera indica L.) plantations in carbon detention and ecosystem services A. Trivedi et al.
95. 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.
96. Modelo local altura-diámetro para Metopium brownei (Jacq.) Urb. en Quintana Roo, México X. García-Cuevas et al.
97. Estimation of Airborne Lidar-Derived Tropical Forest Canopy Height Using Landsat Time Series in Cambodia T. Ota et al.
98. Modeling of tree height–diameter relationships in the Atlantic Forest: effect of forest type on tree allometry V. Cysneiros et al.
99. Performance of Laser-Based Electronic Devices for Structural Analysis of Amazonian Terra-Firme Forests I. Pereira et al.
100. Biomass models for three species with different growth forms and geographic distribution in the Brazilian Atlantic forest H. Uller et al.
101. Modeling Tree Characteristics of Individual Black Pine (Pinus nigra Arn.) Trees for Use in Remote Sensing-Based Inventory I. Balenović et al.
102. The value of local allometries from airborne laser scanning for tropical forest biomass estimates C. Huertas et al.
103. Pinus pinaster Diameter, Height, and Volume Estimation Using Mask-RCNN A. Malta et al.
104. Disturbance feedbacks on the height of woody vegetation in a savannah: a multi-plot assessment using an unmanned aerial vehicle (UAV) M. Mayr et al.
105. Modelos alométricos para estimar biomasa aérea en bosques secundarios montanos del noroccidente de Ecuador J. Ramírez López et al.
106. Measurement uncertainty in a national forest inventory: results from the northern region of the USA R. Yanai et al.
107. Examining effective use of data sources and modeling algorithms for improving biomass estimation in a moist tropical forest of the Brazilian Amazon Y. Feng et al.
108. About polygon area uncertainty in GIS and its implications on agro-forestry estimates S. De Petris et al.
109. The potential of citizen science data to complement satellite and airborne lidar tree height measurements: lessons from The GLOBE Program J. Enterkine et al.
110. Empowering indigenous wisdom: co-creating forest inventory through citizen science in Royal Belum State Park, Malaysia M. Fauzi et al.
111. Allometric equations for integrating remote sensing imagery into forest monitoring programmes T. Jucker et al.
112. Biophysical Characterization of Forests in Western Ghats of India by Integration of Space-Borne LiDAR and Multispectral Remote Sensing I. Indirabai et al.
113. Characterizing Measures of Aboveground Biomass Parameters of Irvingia gaboneensis (Bush Mango) and Rainforest in Isoko Region, Nigeria O. Eloho & N. Emmanuel
114. New Allometric Equations to Support Sustainable Plantation Management of Rosewood (Aniba rosaeodora Ducke) in the Central Amazon P. Krainovic et al.
115. Tree volume modeling for forest types in the Atlantic Forest: generic and specific models V. Cysneiros et al.
116. Above- and Belowground Biomass Models for Trees in the Miombo Woodlands of Malawi D. Kachamba et al.
117. Estimation of Aboveground Carbon Density of Forests Using Deep Learning and Multisource Remote Sensing F. Zhang et al.
118. Acacia mangium monocultures can catalyse the recovery of the tree community and aboveground carbon stock in the Philippines J. Vivian et al.
119. Uncertainty of remotely sensed aboveground biomass over an African tropical forest: Propagating errors from trees to plots to pixels Q. Chen et al.
120. Area-based vs tree-centric approaches to mapping forest carbon in Southeast Asian forests from airborne laser scanning data D. Coomes et al.
121. Allometric equations to estimate above-ground biomass of small-diameter mixed tree species in secondary tropical forests R. Puc-Kauil et al.
122. Can iPhone/iPad LiDAR data improve canopy height model derived from UAV? D. Umarhadi et al.
123. Effect of measurement errors on the estimation of tree biomass L. Qin et al.
124. Volumetric tree growth models for aboveground biomass estimation of Pinus kesiya and Toona ciliata in Northeast India N. Monsang et al.
125. Mixed-species allometric equations and estimation of aboveground biomass and carbon stocks in restoring degraded landscape in northern Ethiopia M. Mokria et al.
126. Invasive Prosopis associated with large, but idiosyncratic, ecosystem changes and loss of native biodiversity across India S. Majumdar et al.
127. Estimating biomass production and carbon sequestration of poplar-based agroforestry systems in India S. Chavan et al.
128. Assessment of Bias in Pan-Tropical Biomass Predictions A. Burt et al.
129. Assessing the Uncertainty of Tree Height and Aboveground Biomass From Terrestrial Laser Scanner and Hypsometer Using Airborne LiDAR Data in Tropical Rainforests S. Ojoatre et al.
130. Reducing overharvest risk in the Brazilian Amazon: mixed-effects volume ratio models based on post-harvest measurements R. Cardoso et al.
131. Aboveground tree additive biomass equations for two dominant deciduous tree species in Daxing’anling, northernmost China S. Meng et al.
132. Costs and precisions of alternative plot configurations for estimating above-ground tree biomass in tropical forests E. Tomppo et al.
133. Allometric biomass equations for young trees of four broadleaved species in Albania E. Istrefi et al.
134. Unmanned aerial vehicle based measurement of urban forests E. Isibue & T. Pingel
135. Brazil’s forest restoration, biomass and carbon stocks: A critical review of the knowledge gaps F. Gardon et al.
136. Traditional agroforestry systems in Timor-Leste can store large amounts of carbon in both soil and biomass C. Piponiot et al.
137. Comparison of Canopy Volume Measurements of Scattered Eucalypt Farm Trees Derived from High Spatial Resolution Imagery and LiDAR N. Verma et al.
138. A Comparison of Mangrove Canopy Height Using Multiple Independent Measurements from Land, Air, and Space D. Lagomasino et al.
139. Integrating Remote Sensing Techniques and Allometric Models for Sustainable Carbon Sequestration Estimation in Prosopis cineraria-Druce Trees K. Al-Jabri et al.
140. How many trees are necessary to fit an accurate volume model for the Amazon forest? A site-dependent analysis F. Leão et al.
141. Urban tree damage estimation using airborne laser scanner data and geographic information systems: An example from 2007 Oklahoma ice storm M. Rahman & T. Rashed
142. Quaternion-Based Texture Analysis of Multiband Satellite Images: Application to the Estimation of Aboveground Biomass in the East Region of Cameroon C. Djiongo Kenfack et al.
143. Taller trees, denser stands and greater biomass in semi-deciduous than in evergreen lowland central African forests A. Fayolle et al.
144. Re‐evaluation of individual diameter : height allometric models to improve biomass estimation of tropical trees A. Ledo et al.
145. Modelling aboveground biomass of a multistage managed forest through synergistic use of Landsat-OLI, ALOS-2 L-band SAR and GEDI metrics H. Padalia et al.
146. Predicting biomass of hyperdiverse and structurally complex central Amazonian forests – a virtual approach using extensive field data D. Magnabosco Marra et al.
147. LIDAR-based estimation of bole biomass for precision management of an Amazonian forest: Comparisons of ground-based and remotely sensed estimates E. Figueiredo et al.
148. Tree Climbing Techniques and Volume Equations for Eschweilera (Matá-Matá), a Hyperdominant Genus in the Amazon Forest B. Gimenez et al.
149. Modeling Whole-Plant Carbon Stock in Olea europaea L. Plantations Using Logarithmic Nonlinear Seemingly Unrelated Regression Y. He et al.
150. Tree dieback affects climate change mitigation potential of a dry afromontane forest in northern Ethiopia M. Mokria et al.
151. Small Sample Sizes Yield Biased Allometric Equations in Temperate Forests L. Duncanson et al.
152. Improved tree height estimation of secondary forests in the Brazilian Amazon H. CASSOL et al.
153. An accuracy analysis of mangrove tree height mensuration using forestry techniques, hypsometers and UAVs I. Saliu et al.
154. New 3D measurements of large redwood trees for biomass and structure M. Disney et al.
155. Effect of tree demography and flexible root water uptake for modeling the carbon and water cycles of Amazonia E. Joetzjer et al.
156. Aboveground biomass estimation using multi-sensor data synergy and machine learning algorithms in a dense tropical forest S. Ghosh & M. Behera
157. Patterns and drivers of the above- and below-ground carbon stock in Afromontane forest of southern Ethiopia: implications for climate change mitigation S. Ahmed & D. Lemessa
158. Full and effective participation of indigenous peoples in forest monitoring for reducing emissions from deforestation and forest degradation (REDD+): trial in Panama's Darién J. Mateo‐Vega et al.
159. Harmonizing multi-temporal airborne laser scanning point clouds to derive periodic annual height increments in temperate mixedwood forests J. Riofrío et al.
160. A critical review of forest biomass estimation models, common mistakes and corrective measures G. Sileshi
161. The Potential Impact of Vertical Sampling Uncertainty on ICESat-2/ATLAS Terrain and Canopy Height Retrievals for Multiple Ecosystems A. Neuenschwander & L. Magruder
162. Canopy Height Mapping for Plantations in Nigeria Using GEDI, Landsat, and Sentinel-2 A. Tsao et al.
163. Understanding the Greenhouse Gas Impact of Deforestation Fires in Indonesia and Brazil in 2019 and 2020 A. Datta & R. Krishnamoorti