Improved Model-Based Forest Height Inversion Using Airborne L-Band Repeat-Pass Dual-Baseline Pol-InSAR Data

This paper proposes an improved model-based forest height inversion method for airborne L-band dual-baseline repeat-pass polarimetric synthetic aperture radar interferometry (PolInSAR) collections. A two-layer physical model with various volumetric scattering attenuation and dynamic motion propertie...

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Main Authors: Qi Zhang, Scott Hensley, Ruiheng Zhang, Chang Liu, Linlin Ge
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/20/5234
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author Qi Zhang
Scott Hensley
Ruiheng Zhang
Chang Liu
Linlin Ge
author_facet Qi Zhang
Scott Hensley
Ruiheng Zhang
Chang Liu
Linlin Ge
author_sort Qi Zhang
collection DOAJ
description This paper proposes an improved model-based forest height inversion method for airborne L-band dual-baseline repeat-pass polarimetric synthetic aperture radar interferometry (PolInSAR) collections. A two-layer physical model with various volumetric scattering attenuation and dynamic motion properties is first designed based on the traditional Random Motion over Ground (RMoG) model. Related PolInSAR coherence functions with both volumetric and temporal decorrelations incorporated are derived, where the impacts of homogenous and heterogeneous attenuation and dynamic motion properties on the performance of forest height inversion were investigated by the Linear Volume Attenuation (LVA), Quadratic Volume Attenuation (QVA), Linear Volume Motion (LVM), and Quadratic Volume Motion (QVM) depictions in the volume layer. Dual-baseline PolInSAR data were acquired to increase the degree of freedom (DOF) of the coherence observations and thereby provide extra constraints on the forest parameters to address the underdetermined problem. The experiments were carried out on a boreal forest in Canada and a tropical one in Gabon, where physical models with LVA + QVM (RMSE: 3.56 m) and QVA + LVM (RMSE: 6.83 m) exhibited better performances on the forest height inversion over the boreal and tropical forest sites, respectively. To leverage the advantages of LVA, QVA, LVM, and QVM, a pixel-wise optimization strategy was used to obtain the best forest height inversion performance for the range of attenuation and motion profiles considered. This pixel-wise optimization surpasses the best-performing single model and achieves forest height inversion results with an RMSE of 3.21 m in the boreal forest site and an RMSE of 6.48 m in the tropical forest site.
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spelling doaj.art-ef46a832f1244850930dda622cf06bca2023-11-24T02:21:47ZengMDPI AGRemote Sensing2072-42922022-10-011420523410.3390/rs14205234Improved Model-Based Forest Height Inversion Using Airborne L-Band Repeat-Pass Dual-Baseline Pol-InSAR DataQi Zhang0Scott Hensley1Ruiheng Zhang2Chang Liu3Linlin Ge4School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, ChinaJet Propulsion Laboratory (JPL), California Institute of Technology, Pasadena, CA 91109, USASchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Civil and Environmental Engineering, University of New South Wales, Sydney 2052, AustraliaSchool of Civil and Environmental Engineering, University of New South Wales, Sydney 2052, AustraliaThis paper proposes an improved model-based forest height inversion method for airborne L-band dual-baseline repeat-pass polarimetric synthetic aperture radar interferometry (PolInSAR) collections. A two-layer physical model with various volumetric scattering attenuation and dynamic motion properties is first designed based on the traditional Random Motion over Ground (RMoG) model. Related PolInSAR coherence functions with both volumetric and temporal decorrelations incorporated are derived, where the impacts of homogenous and heterogeneous attenuation and dynamic motion properties on the performance of forest height inversion were investigated by the Linear Volume Attenuation (LVA), Quadratic Volume Attenuation (QVA), Linear Volume Motion (LVM), and Quadratic Volume Motion (QVM) depictions in the volume layer. Dual-baseline PolInSAR data were acquired to increase the degree of freedom (DOF) of the coherence observations and thereby provide extra constraints on the forest parameters to address the underdetermined problem. The experiments were carried out on a boreal forest in Canada and a tropical one in Gabon, where physical models with LVA + QVM (RMSE: 3.56 m) and QVA + LVM (RMSE: 6.83 m) exhibited better performances on the forest height inversion over the boreal and tropical forest sites, respectively. To leverage the advantages of LVA, QVA, LVM, and QVM, a pixel-wise optimization strategy was used to obtain the best forest height inversion performance for the range of attenuation and motion profiles considered. This pixel-wise optimization surpasses the best-performing single model and achieves forest height inversion results with an RMSE of 3.21 m in the boreal forest site and an RMSE of 6.48 m in the tropical forest site.https://www.mdpi.com/2072-4292/14/20/5234L-banddual-baselinePol-InSARforest heightattenuationrandom motion
spellingShingle Qi Zhang
Scott Hensley
Ruiheng Zhang
Chang Liu
Linlin Ge
Improved Model-Based Forest Height Inversion Using Airborne L-Band Repeat-Pass Dual-Baseline Pol-InSAR Data
Remote Sensing
L-band
dual-baseline
Pol-InSAR
forest height
attenuation
random motion
title Improved Model-Based Forest Height Inversion Using Airborne L-Band Repeat-Pass Dual-Baseline Pol-InSAR Data
title_full Improved Model-Based Forest Height Inversion Using Airborne L-Band Repeat-Pass Dual-Baseline Pol-InSAR Data
title_fullStr Improved Model-Based Forest Height Inversion Using Airborne L-Band Repeat-Pass Dual-Baseline Pol-InSAR Data
title_full_unstemmed Improved Model-Based Forest Height Inversion Using Airborne L-Band Repeat-Pass Dual-Baseline Pol-InSAR Data
title_short Improved Model-Based Forest Height Inversion Using Airborne L-Band Repeat-Pass Dual-Baseline Pol-InSAR Data
title_sort improved model based forest height inversion using airborne l band repeat pass dual baseline pol insar data
topic L-band
dual-baseline
Pol-InSAR
forest height
attenuation
random motion
url https://www.mdpi.com/2072-4292/14/20/5234
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AT ruihengzhang improvedmodelbasedforestheightinversionusingairbornelbandrepeatpassdualbaselinepolinsardata
AT changliu improvedmodelbasedforestheightinversionusingairbornelbandrepeatpassdualbaselinepolinsardata
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