Improving Aboveground Biomass Estimation in Lowland Tropical Forests across Aspect and Age Stratification: A Case Study in Xishuangbanna

Improving Aboveground Biomass Estimation in Lowland Tropical Forests across Aspect and Age Stratification: A Case Study in Xishuangbanna

Improving the precision of aboveground biomass (AGB) estimation in lowland tropical forests is crucial to enhancing our understanding of carbon dynamics and formulating climate change mitigation strategies. This study proposes an AGB estimation method for lowland tropical forests in Xishuangbanna, w...

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Bibliographic Details
Main Authors: Yong Wu, Guanglong Ou, Tengfei Lu, Tianbao Huang, Xiaoli Zhang, Zihao Liu, Zhibo Yu, Binbing Guo, Er Wang, Zihang Feng, Hongbin Luo, Chi Lu, Leiguang Wang, Weiheng Xu
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Remote Sensing
Subjects:
lowland tropical forest
aboveground biomass
Landsat 8 OLI
Sentinel 2A
stratification model
Online Access:https://www.mdpi.com/2072-4292/16/7/1276

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