<b>Artificial Intelligence for Forest Carbon Accounting: A Scoping Review of Engineering Methodologies, Digital Twins, and Deployment Gaps</b>

NIAID Data Ecosystem2026-05-10 收录

数据链接：

https://figshare.com/articles/dataset/_b_Artificial_Intelligence-Driven_Forest_Carbon_Integrity_Systems_A_Scoping_Review_of_Methods_Risks_and_European_Policy_Implications_b_/31791502 数据链接链接失效反馈

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资源简介：

In this scoping review (200 primary sources, 2015–2024), the intersection of AI-driven forest carbon systems is mapped across six thematic pillars, focusing on European frameworks.

创建时间：

2026-03-17

<b>Artificial Intelligence for Forest Carbon Accounting: A Scoping Review of Engineering Methodologies, Digital Twins, and Deployment Gaps</b>

资源简介：

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