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The predictability of near‐term forest biomass change in boreal North America.

• Authors : Burrell, Arden L.¹ (AUTHOR) ; Cooperdock, Sol² (AUTHOR); Potter, Stefano¹ (AUTHOR)

Subjects: *Forest biomass; *Taigas; *Forest surveysNorth America

• Source: Ecosphere. Jan2024, Vol. 15 Issue 1, p1-20. 20p.

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More Accurately Estimating Aboveground Biomass in Tropical Forests With Complex Forest Structures and Regions of High‐Aboveground Biomass.

• Authors : Su, Ying^1,2 (AUTHOR); Mura, Matteo³ (AUTHOR); Zheng, Xiaoman⁴ (AUTHOR)

Subjects: *Forest biomass; *Biomass; *Forest managementFujian Sheng (China)

• Source: Journal of Geophysical Research. Biogeosciences. Jun2024, Vol. 129 Issue 6, p1-19. 19p.

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Agricola

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Agricola

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Agricola

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New forest biomass carbon stock estimates in Northeast Asia based on multisource data.

• Authors : Luo, Weixue¹ (AUTHOR); Kim, Hyun Seok^2,3,4,5 (AUTHOR); Zhao, Xiuhai¹ (AUTHOR)

Subjects: *Forest biomass; *Forest monitoring; *Forest surveysKorea

• Source: Global Change Biology. Dec2020, Vol. 26 Issue 12, p7045-7066. 22p.

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Integrating spaceborne LiDAR and Sentinel-2 images to estimate forest aboveground biomass in Northern China.

• Authors : Jiang, Fugen^1,2,3 (AUTHOR); Deng, Muli^1,2,3 (AUTHOR); Tang, Jie^1,2,3 (AUTHOR)

Subjects: *Forest biomass; *Forest management; Optical radarChinaGoogle Inc.

• Source: Carbon Balance & Management. 9/1/2022, Vol. 17 Issue 1, p1-13. 13p.

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Combination of hyperspectral and LiDAR for aboveground biomass estimation using machine learning.

• Authors : Nik Effendi, Nik Ahmad Faris¹ (AUTHOR); Mohd Zaki, Nurul Ain^2,3 (AUTHOR) ; Abd Latif, Zulkiflee^3,4 (AUTHOR)

Subjects: *ARTIFICIAL neural networks; *STANDARD deviations; *FOREST management

• Source: Transactions in GIS. Jul2024, p1. 22p. 11 Illustrations.

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Agricola

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Combining Multisource Data and Machine Learning Approaches for Multiscale Estimation of Forest Biomass.

• Authors : Hong, Yifeng; Xu, Jiaming; Wu, Chunyan

Subjects: FOREST biomass; BIOMASS estimation; MACHINE learning

• Source: Forests (19994907); Nov2023, Vol. 14 Issue 11, p2248, 23p

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