Four-Stage Inversion Algorithm for Forest Height Estimation Using Repeat Pass Polarimetric SAR Interferometry Data

Four-Stage Inversion Algorithm for Forest Height Estimation Using Repeat Pass Polarimetric SAR Interferometry Data

This paper proposes a new method for forest height estimation using single-baseline single frequency polarimetric synthetic aperture radar interferometry (PolInSAR) data. The new algorithm estimates the forest height based on the random volume over the ground with a volume temporal decorrelation (RV...

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Bibliographic Details
Main Authors: Tayebe Managhebi, Yasser Maghsoudi, Mohammad Javad Valadan Zoej
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Remote Sensing
Subjects:
four-stage algorithm
forest height
mean extinction coefficient
polarimetric synthetic aperture radar interferometry
RVoG+VTD model
temporal decorrelation
Online Access:http://www.mdpi.com/2072-4292/10/8/1174

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