Improving the Potential of Coniferous Forest Aboveground Biomass Estimation by Integrating C- and L-Band SAR Data with Feature Selection and Non-Parametric Model

Improving the Potential of Coniferous Forest Aboveground Biomass Estimation by Integrating C- and L-Band SAR Data with Feature Selection and Non-Parametric Model

Forests play a significant role in terrestrial ecosystems by sequestering carbon, and forest biomass is a crucial indicator of carbon storage potential. However, the single-frequency SAR estimation of forest biomass often leads to saturation issues. This research aims to improve the potential for es...

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Bibliographic Details
Main Authors: Yifan Hu, Yonghui Nie, Zhihui Liu, Guoming Wu, Wenyi Fan
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
feature selection
non-parametric model
above-ground biomass estimation
scattering mechanism
GF-3
ALOS-2
Online Access:https://www.mdpi.com/2072-4292/15/17/4194

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