97 citations as recorded by crossref.

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29. 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
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33. Impact of climatic and topographic factors on distribution of sub-tropical and moist temperate forests in Pakistan N. Ahmad et al. 10.4000/geomorphologie.14564
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37. Application of allometric systems for compatible area-based LiDAR-assisted estimation in the Province of Nova Scotia T. Yang et al. 10.1139/cjfr-2021-0070
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40. Fusion of NASA Airborne Snow Observatory (ASO) Lidar Time Series over Mountain Forest Landscapes A. Ferraz et al. 10.3390/rs10020164
41. Automated method for measuring the extent of selective logging damage with airborne LiDAR data L. Melendy et al. 10.1016/j.isprsjprs.2018.02.022
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49. Challenges of Multi-Temporal and Multi-Sensor Forest Growth Analyses in a Highly Disturbed Boreal Mixedwood Forests P. Tompalski et al. 10.3390/rs11182102
50. Diagnosing pristine pine forest development through pansharpened-surface-reflectance Landsat image derived aboveground biomass productivity N. Doyog et al. 10.1016/j.foreco.2021.119011
51. Converting along-track photons into a point-region quadtree to assist with ICESat-2-based canopy cover and ground photon detection H. Xie et al. 10.1016/j.jag.2022.102872
52. Evaluating the performance of airborne and spaceborne lidar for mapping biomass in the United States' largest dry woodland ecosystem M. Campbell et al. 10.1016/j.rse.2024.114196
53. Airborne Lidar Estimation of Aboveground Forest Biomass in the Absence of Field Inventory A. Ferraz et al. 10.3390/rs8080653
54. Spatially-Explicit Testing of a General Aboveground Carbon Density Estimation Model in a Western Amazonian Forest Using Airborne LiDAR P. Molina et al. 10.3390/rs8010009
55. Selection of roosting habitat by male Myotis bats in a boreal forest F. Fabianek et al. 10.1139/cjz-2014-0294
56. A methodological framework to assess the carbon balance of tropical managed forests C. Piponiot et al. 10.1186/s13021-016-0056-7
57. Analysis of structure from motion and airborne laser scanning features for the evaluation of forest structure A. Rodríguez-Vivancos et al. 10.1007/s10342-022-01447-7
58. Detecting moose (Alces alces) browsing damage in young boreal forests from airborne laser scanning data M. Melin et al. 10.1139/cjfr-2015-0326
59. Spaceborne height models reveal above ground biomass changes in tropical landscapes M. Schlund et al. 10.1016/j.foreco.2021.119497
60. Carbon sinks and tropical forest biomass estimation: a review on role of remote sensing in aboveground-biomass modelling N. Mohd Zaki & Z. Abd Latif 10.1080/10106049.2016.1178814
61. 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
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63. Aboveground-Biomass Estimation of a Complex Tropical Forest in India Using Lidar C. Véga et al. 10.3390/rs70810607
64. Tropical-Forest Structure and Biomass Dynamics from TanDEM-X Radar Interferometry R. Treuhaft et al. 10.3390/f8080277
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67. Incorporating Canopy Cover for Airborne-Derived Assessments of Forest Biomass in the Tropical Forests of Cambodia M. Singh et al. 10.1371/journal.pone.0154307
68. Monitoring aboveground forest biomass dynamics over three decades using Landsat time-series and single-date inventory data T. Nguyen et al. 10.1016/j.jag.2019.101952
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70. High resolution biomass mapping in tropical forests with LiDAR-derived Digital Models: Poás Volcano National Park (Costa Rica) A. Fernández-Landa et al. 10.3832/ifor1744-009
71. Carbon storage potential in degraded forests of Kalimantan, Indonesia A. Ferraz et al. 10.1088/1748-9326/aad782
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74. Assessment of solar radiation reduction from urban forests on buildings along highway corridors in Sydney M. Wang et al. 10.1016/j.ufug.2016.01.003
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76. Modeling post-logging height growth of black spruce-dominated boreal forests by combining airborne LiDAR and time since harvest maps B. Bour et al. 10.1016/j.foreco.2021.119697
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83. Mapping tree aboveground biomass and carbon in Omo Forest Reserve Nigeria using Landsat 8 OLI data I. Chenge & J. Osho 10.2989/20702620.2018.1463150
84. 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
85. Impacts of Degradation on Water, Energy, and Carbon Cycling of the Amazon Tropical Forests M. Longo et al. 10.1029/2020JG005677
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87. Quantifying mangrove canopy regrowth and recovery after Hurricane Irma with large-scale repeat airborne lidar in the Florida Everglades L. Xiong et al. 10.1016/j.jag.2022.103031
88. A Novel Approach to 3-D Change Detection in Multitemporal LiDAR Data Acquired in Forest Areas D. Marinelli et al. 10.1109/TGRS.2018.2789660
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