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Separating the Influence of Vegetation Changes in Polarimetric Differential SAR Interferometry

Brancato, Virginia and Hajnsek, Irena (2018) Separating the Influence of Vegetation Changes in Polarimetric Differential SAR Interferometry. IEEE Transactions on Geoscience and Remote Sensing, 56 (12), pp. 6871-6883. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/TGRS.2018.2845368 ISSN 0196-2892

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Abstract

Soil moisture and wet biomass changes between two non-instantaneous SAR observations markedly affect the displacement estimates obtainable with Differential SAR Interferometry (DInSAR). The separation, the modelling of these influences besides their uncoupling from the displacement signal and atmospheric disturbances are still unsolved issues for several repeat-pass interferometric applications. This paper focuses on the separation of vegetation changes from the other phase contributions affecting repeat-pass measurements over vegetated areas. These phase terms mainly relate to changes in soil moisture, atmospheric delays, and surface deformation. The separation is achieved with a first-order scattering solution decomposing the observed HH and VV DInSAR phases in the sum of several phase terms. The latter mainly consider changes in soil surface scattering and in the two-way propagation through a vertically-oriented vegetation canopy. No assumption is made on the spatiotemporal evolution of the displacement and atmosphere. The overall approach is tested on an L-band airborne SAR dataset acquired over an agricultural area. Upon calibration, the model allows for estimating changes in wet biomass based on the non-zero HH-VV D In SAR phase difference observed over several bi refringent agricultural fields. The obtained biomass estimates provide then a correction for the effect of vegetation changes on the observed HH and VV D In SAR phases. Deprived of the vegetation contribution, the remainder phase terms can be more easily explored for further analyses, e.g. estimation of soil moisture changes and/or surface movements in vertically-oriented vegetated areas.

Item URL in elib:https://elib.dlr.de/124722/
Document Type:Article
Title:Separating the Influence of Vegetation Changes in Polarimetric Differential SAR Interferometry
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Brancato, VirginiaETH ZurichUNSPECIFIED
Hajnsek, IrenaUNSPECIFIEDUNSPECIFIED
Date:December 2018
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:56
DOI :10.1109/TGRS.2018.2845368
Page Range:pp. 6871-6883
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:0196-2892
Status:Published
Keywords:DInSAR, interferometry, polarimetry, electro- magnetic model, soil moisture, wet biomass, synthetic aperture radar.
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Sicherheitsrelevante Erdbeobachtung
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Radzuweit, Sibylle
Deposited On:17 Dec 2018 08:33
Last Modified:18 Dec 2018 13:48

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