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

Saporta, Paloma und Gomba, Giorgio und 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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Kurzfassung

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.

elib-URL des Eintrags:https://elib.dlr.de/143011/
Dokumentart:Konferenzbeitrag (Poster)
Titel:Analyzing an InSAR short-term systematic phase bias with regards to soil moisture and landcover
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Saporta, PalomaPaloma.Saporta (at) dlr.dehttps://orcid.org/0009-0003-4084-630XNICHT SPEZIFIZIERT
Gomba, GiorgioGiorgio.Gomba (at) dlr.dehttps://orcid.org/0000-0003-0227-2096NICHT SPEZIFIZIERT
De Zan, Francescofrancesco.dezan (at) dlr.dehttps://orcid.org/0000-0002-1643-2559NICHT SPEZIFIZIERT
Datum:April 2021
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
DOI:10.5194/egusphere-egu21-3503
Status:veröffentlicht
Stichwörter:SAR, SAR Interferometry, Phase estimation
Veranstaltungstitel:European Geosciences Union (EGU) General Assembly
Veranstaltungsort:online
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:19 April 2021
Veranstaltungsende:30 April 2021
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - SAR-Methoden
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Methodik der Fernerkundung > SAR-Signalverarbeitung
Institut für Hochfrequenztechnik und Radarsysteme > Radarkonzepte
Hinterlegt von: Saporta, Paloma
Hinterlegt am:05 Jul 2021 10:56
Letzte Änderung:24 Apr 2024 20:42

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