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Analyzing an InSAR short-term systematic phase bias with regards to soil moisture and landcover

Saporta, Paloma and Gomba, Giorgio and De Zan, Francesco (2021) Analyzing an InSAR short-term systematic phase bias with regards to soil moisture and landcover. European Geosciences Union (EGU) General Assembly, 2021-04-19 - 2021-04-30, online. doi: 10.5194/egusphere-egu21-3503.

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This work investigates a systematic phase bias affecting Synthetic Aperture Radar interferograms, in particular at short-term, causing biases in displacement velocity estimates that can reach several mm per year. The analysis relies on the processing of a stack of Single Look Complex SAR images; in our case, the stack consists in 184 Sentinel-1 images acquired regularly between 2014 and 2018 and covering the Eastern part of Sicily. A reference phase history is derived using the EMI method (Eigen-decomposition-based Maximum-likelihood estimator of Interferometric phase), which takes advantage of the full sample covariance matrix built out of all the SAR acquisitions at a given pixel. This phase history has been shown to be equivalent to a persistent scatterer’s phase history over our region of interest. We use it to calibrate the direct multilooked interferograms built out of consecutive acquisitions. The short-term phase bias signal thus obtained is analyzed in time and space, making use in addition of ASCAT soil moisture variations and landcover information from the CORINE dataset. We observe that for certain land classes, the high-frequency part of the signal is correlated with soil moisture variations in both dry and wet seasons. The low-pass trend exhibits strongly seasonal variations, with maxima of comparable value in spring (April-May) of each year. Areas with similar landcover types (forests, vegetated areas, agricultural areas) witness similar phase biases behavior, indicating a physical contribution associated with vegetation effects. By investigating the behavior of the bias, this study contributes towards a future mitigation of this phase error in deformation estimates, or the exploitation of the bias itself as a physically relevant signal.

Item URL in elib:https://elib.dlr.de/143011/
Document Type:Conference or Workshop Item (Poster)
Title:Analyzing an InSAR short-term systematic phase bias with regards to soil moisture and landcover
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Saporta, PalomaUNSPECIFIEDhttps://orcid.org/0009-0003-4084-630XUNSPECIFIED
Gomba, GiorgioUNSPECIFIEDhttps://orcid.org/0000-0003-0227-2096UNSPECIFIED
De Zan, FrancescoUNSPECIFIEDhttps://orcid.org/0000-0002-1643-2559UNSPECIFIED
Date:April 2021
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:SAR, SAR Interferometry, Phase estimation
Event Title:European Geosciences Union (EGU) General Assembly
Event Location:online
Event Type:international Conference
Event Dates:2021-04-19 - 2021-04-30
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - SAR methods
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Microwaves and Radar Institute > Radar Concepts
Deposited By: Saporta, Paloma
Deposited On:05 Jul 2021 10:56
Last Modified:29 Mar 2023 00:48

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