Estimating forest aboveground carbon sink based on landsat time series and its response to climate change

Estimating forest aboveground carbon sink based on landsat time series and its response to climate change

Abstract Accurately estimating forest carbon sink and exploring their climate-driven mechanisms are critical to achieving carbon neutrality and sustainable development. Fewer studies have used machine learning-based dynamic models to estimate forest carbon sink. The climate-driven mechanisms in Shan...

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Bibliographic Details
Main Authors: Kun Yang, Kai Luo, Jialong Zhang, Bo Qiu, Feiping Wang, Qinglin Xiao, Jun Cao, Yunrun He, Jian Yang
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Forest aboveground carbon sink
Time series
Dynamic modeling
Genetic algorithm
Climate change
Online Access:https://doi.org/10.1038/s41598-024-84258-7
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https://doi.org/10.1038/s41598-024-84258-7

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