Estimation of Forest Aboveground Biomass Using Sentinel-1/2 Synergized with Extrapolated Parameters from LiDAR Data and Analysis of Its Ecological Driving Factors

Estimation of Forest Aboveground Biomass Using Sentinel-1/2 Synergized with Extrapolated Parameters from LiDAR Data and Analysis of Its Ecological Driving Factors

Accurate estimation of forest aboveground biomass (AGB) and understanding its ecological drivers are vital for carbon monitoring and sustainable forest management. However, AGB estimation using remote sensing is hindered by signal saturation in high-biomass areas and insufficient attention to ecolog...

Full description

Saved in:
Bibliographic Details
Main Authors: Xu Xu, Jingyu Yang, Shanze Qi, Yue Ma, Wei Liu, Luanxin Li, Xiaoqiang Lu, Yan Liu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Remote Sensing
Subjects:
forest AGB
spatial extrapolation
data synergy
forest ecological attributes
MGWR modeling
Online Access:https://www.mdpi.com/2072-4292/17/14/2358
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items