A Novel Four-Stage Method for Vegetation Height Estimation with Repeat-Pass PolInSAR Data via Temporal Decorrelation Adaptive Estimation and Distance Transformation

A Novel Four-Stage Method for Vegetation Height Estimation with Repeat-Pass PolInSAR Data via Temporal Decorrelation Adaptive Estimation and Distance Transformation

Vegetation height estimation plays a pivotal role in forest mapping, which significantly promotes the study of environment and climate. This paper develops a general forest structure model for vegetation height estimation using polarimetric interferometric synthetic aperture radar (PolInSAR) data. I...

Full description

Bibliographic Details
Main Authors: Cheng Xing, Tao Zhang, Hongmiao Wang, Liang Zeng, Junjun Yin, Jian Yang
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
vegetation height
forest vertical structure
PolInSAR
RVoG+vtd model
four-stage algorithm
EM algorithm
Online Access:https://www.mdpi.com/2072-4292/13/2/213

Internet

https://www.mdpi.com/2072-4292/13/2/213

Similar Items