165 citations as recorded by crossref.

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42. Combining Sentinel-2 and diverse environmental data largely improved aboveground biomass estimation in China’s boreal forests P. Liu et al. 10.1038/s41598-024-78615-9
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53. The overlooked contribution of trees outside forests to tree cover and woody biomass across Europe S. Liu et al. 10.1126/sciadv.adh4097
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56. Changes in land use and management led to a decline in Eastern Europe’s terrestrial carbon sink K. Winkler et al. 10.1038/s43247-023-00893-4
57. Temporal Changes in Mediterranean Pine Forest Biomass Using Synergy Models of ALOS PALSAR-Sentinel 1-Landsat 8 Sensors E. Velasco Pereira et al. 10.3390/rs15133430
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61. A Multi-Scale Forest Above-Ground Biomass Mapping Approach: Employing a Step-by-Step Spatial Downscaling Method with Bias-Corrected Ensemble Machine Learning J. Liu & Y. Zhang 10.3390/rs16071228
62. Role of space station instruments for improving tropical carbon flux estimates using atmospheric data P. Palmer et al. 10.1038/s41526-022-00231-6
63. Comparison of Multiple Machine Learning Models for Estimating the Forest Growing Stock in Large-Scale Forests Using Multi-Source Data H. Huang et al. 10.3390/f13091471
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65. Near Real-Time Change Detection System Using Sentinel-2 and Machine Learning: A Test for Mexican and Colombian Forests A. Pacheco-Pascagaza et al. 10.3390/rs14030707
66. Low-Cost Non-Contact Forest Inventory: A Case Study of Kieni Forest in Kenya C. Kiplimo et al. 10.3390/challe15010016
67. Mobile phone adoption, deforestation, and agricultural land use in Uganda S. Jung & M. Rogers 10.1016/j.worlddev.2024.106618
68. Quantitative Analysis of Factors Influencing Damage to Old-Growth Hemiboreal Stands as a Result of a Catastrophic Windthrow, Based on Remote Sensing and Merged Data N. Ivanova et al. 10.1134/S1067413624602008
69. Ecosystem heterogeneity is key to limiting the increasing climate-driven risks to European forests G. Forzieri et al. 10.1016/j.oneear.2024.10.005
70. GriddingMachine, a database and software for Earth system modeling at global and regional scales Y. Wang et al. 10.1038/s41597-022-01346-x
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74. Wall-to-Wall Mapping of Forest Biomass and Wood Volume Increment in Italy F. Giannetti et al. 10.3390/f13121989
75. Reconstructing Long‐Term Forest Age of China by Combining Forest Inventories, Satellite‐Based Forest Age and Forest Cover Data Sets J. Xia et al. 10.1029/2023JG007492
76. The largest European forest carbon stocks are in the Dinaric Alps old-growth forests: comparison of direct measurements and standardised approaches A. Bono et al. 10.1186/s13021-024-00262-4
77. Forest Aboveground Biomass Estimation and Inventory: Evaluating Remote Sensing-Based Approaches M. Khan et al. 10.3390/f15061055
78. The Relationships between Biomass and Soil Respiration across Different Forest Management Practices C. Hu et al. 10.3390/f15040712
79. A new approach for spatializing the Canadian National Forest Inventory (SCANFI) using Landsat dense time series L. Guindon et al. 10.1139/cjfr-2023-0118
80. Does Decentralized and Voluntary Commitment Reduce Deforestation? The Effects of Programa Municípios Verdes M. Moz-Christofoletti et al. 10.1007/s10640-022-00659-0
81. Design and performance of the Climate Change Initiative Biomass global retrieval algorithm M. Santoro et al. 10.1016/j.srs.2024.100169
82. Modelling forest biomass dynamics in relation to climate change in Romania using complex data and machine learning algorithms R. Prăvălie et al. 10.1007/s00477-022-02359-z
83. A data-driven estimate of litterfall and forest carbon turnover and the drivers of their inter-annual variabilities in forest ecosystems across China X. Zhao et al. 10.1016/j.scitotenv.2022.153341
84. Past decade above-ground biomass change comparisons from four multi-temporal global maps A. Araza et al. 10.1016/j.jag.2023.103274
85. Edge Effects in Amazon Forests: Integrating Remote Sensing and Modelling to Assess Changes in Biomass and Productivity L. Bauer et al. 10.3390/rs16030501
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88. Use of GEDI Signal and Environmental Parameters to Improve Canopy Height Estimation over Tropical Forest Ecosystems in Mayotte Island K. Lahssini et al. 10.1080/07038992.2024.2351004
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91. Lessons learned in developing reference data sets with the contribution of citizens: the Geo-Wiki experience L. See et al. 10.1088/1748-9326/ac6ad7
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