165 citations as recorded by crossref.

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12. Mixed-Effects Height Prediction Model for Juniperus procera Trees from a Dry Afromontane Forest in Ethiopia M. Teshome et al. https://doi.org/10.3390/f15030443
13. Investigation of tropical coastal forest regeneration after farming and livestock grazing exclusion E. Ligate et al. https://doi.org/10.1007/s11676-018-0792-5
14. Biomass and carbon storage in an age-sequence of Acacia mangium plantation forests in Southeastern region, Vietnam C. Levan et al. https://doi.org/10.5424/fs/2020292-16685
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17. Retrieving Secondary Forest Aboveground Biomass from Polarimetric ALOS-2 PALSAR-2 Data in the Brazilian Amazon H. Cassol et al. https://doi.org/10.3390/rs11010059
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23. Equations for estimating above- and belowground biomass of Norway spruce, Scots pine, birch spp. and European aspen in Latvia J. Liepiņš et al. https://doi.org/10.1080/02827581.2017.1337923
24. Biomass estimation in mangrove forests: a comparison of allometric models incorporating species and structural information M. Rahman et al. https://doi.org/10.1088/1748-9326/ac31ee
25. Upscaling Forest Biomass from Field to Satellite Measurements: Sources of Errors and Ways to Reduce Them M. Réjou-Méchain et al. https://doi.org/10.1007/s10712-019-09532-0
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. https://doi.org/10.3390/f11020223
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. https://doi.org/10.1080/2150704X.2020.1862436
28. Vegetation structure drives taxonomic diversity and functional traits of birds in urban private native forest fragments L. Campos-Silva & A. Piratelli https://doi.org/10.1007/s11252-020-01045-8
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30. Validation and Error Minimization of Global Ecosystem Dynamics Investigation (GEDI) Relative Height Metrics in the Amazon A. East et al. https://doi.org/10.3390/rs16193550
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32. Estimation of coarse dead wood stocks in intact and degraded forests in the Brazilian Amazon using airborne lidar M. Scaranello et al. https://doi.org/10.5194/bg-16-3457-2019
33. Drones as a Tool for Monoculture Plantation Assessment in the Steepland Tropics E. Miller et al. https://doi.org/10.3390/f8050168
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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. https://doi.org/10.1016/j.jclepro.2024.143119
36. Tropical secondary forests regenerating after shifting cultivation in the Philippines uplands are important carbon sinks S. Mukul et al. https://doi.org/10.1038/srep22483
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38. Use of MODIS Sensor Images Combined with Reanalysis Products to Retrieve Net Radiation in Amazonia G. De Oliveira et al. https://doi.org/10.3390/s16070956
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43. Tree composition and carbon turnover dynamics across 22 years in a Costa Rican premontane moist forest fragment M. Cambronero et al. https://doi.org/10.5424/fs/2026351-21062
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48. Inferring Agronomical Insights for Wheat Canopy Using Image-Based Curve Fit K -Means Segmentation Algorithm and Statistical Analysis A. Gupta et al. https://doi.org/10.1155/2022/1875013
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50. 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. https://doi.org/10.1016/j.tfp.2024.100760
51. Seasonal Impacts on Individual Tree Detection and Height Extraction Using UAV-LiDAR: Preliminary Study of Planted Deciduous Stand W. Wu et al. https://doi.org/10.3390/f16091384
52. 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. https://doi.org/10.1016/j.foreco.2015.09.016
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55. Robust height–diameter allometries for 41 European tree species: stand characteristics and structure matter N. Savine et al. https://doi.org/10.1007/s10342-026-01925-2
56. Impacts of Degradation on Water, Energy, and Carbon Cycling of the Amazon Tropical Forests M. Longo et al. https://doi.org/10.1029/2020JG005677
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58. Approaches of Satellite Remote Sensing for the Assessment of Above-Ground Biomass across Tropical Forests: Pan-tropical to National Scales S. Abbas et al. https://doi.org/10.3390/rs12203351
59. Allometric biomass equations for 12 tree species in coniferous and broadleaved mixed forests, Northeastern China H. He et al. https://doi.org/10.1371/journal.pone.0186226
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62. Allometric Equations for Estimating Biomass and Carbon Stocks in the Temperate Forests of North-Western Mexico B. Vargas-Larreta et al. https://doi.org/10.3390/f8080269
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67. Height-Diameter Allometry for Tree Species in Tanzania Mainland W. Mugasha et al. https://doi.org/10.1155/2019/4832849
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69. 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 https://doi.org/10.1186/s40066-022-00395-0
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71. Allometric Equations for Predicting Culm Surface Area of Three Bamboo Species (Phyllostachys spp.) A. Inoue et al. https://doi.org/10.3390/f9060295
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73. Developing biomass estimation models for above-ground compartments in Eucalyptus dunnii and Corymbia citriodora plantations L. Garcia_Florez et al. https://doi.org/10.1016/j.biombioe.2019.105353
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76. Effects of body size and root to shoot ratio on foliar nutrient resorption efficiency in Amaranthus mangostanus H. Peng et al. https://doi.org/10.1002/ajb2.1246
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78. Advancing Carbon Stock Estimation and 3D Tree Modeling: Harnessing the Potential of Low-Cost Backpack LiDAR Technology W. Prasetyo et al. https://doi.org/10.1088/1755-1315/1406/1/012013
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