A new geographically weighted stacked regression method for forest aboveground carbon storage estimation: A case study of bamboo forest

A new geographically weighted stacked regression method for forest aboveground carbon storage estimation: A case study of bamboo forest

Forest aboveground carbon storage (AGC) is a key criterion reflects the carbon sequestration capacity, health and productivity of forest ecosystem. Bamboo forests are potential to sequester carbon thereby are significant in climate change investigations. Currently, monitoring forest AGC is an essent...

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Bibliographic Details
Main Authors: Jingyi Wang, Xuejian Li, Huaqiang Du, Guomo Zhou, Fangjie Mao, Mingshi Li, Enbin Liu, Weiliang Fan, Ning Han, Yanxin Xu, Zihao Huang
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Ecological Indicators
Subjects:
Carbon stock
Machine learning
Spatial model
Ensemble method
Remote sensing
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X25009872
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