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Modeling Temporal Decorrelation from Bistatic TanDEM-X Time-Series

Pulella, Andrea and Rizzoli, Paola and Sica, Francescopaolo and Bueso Bello, Jose Luis (2019) Modeling Temporal Decorrelation from Bistatic TanDEM-X Time-Series. ESA Living Planet Symposium, 2019-05-13 - 2019-05-17, Milan, Italy.

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Abstract

The interferometric coherence represents the normalized cross-correlation coefficient between the interferometric pair of acquired images and is the key-quantity for assessing the quality of the interferogram. Moreover, it is a valuable input for a variety of other scientific applications, such as land usage classification, biomass estimation or forest detection. TanDEM-X is currently the only spaceborne SAR system able to provide, every 11 days, high-quality single-pass interferograms, which are not affected by temporal decorrelation. The bistatic information is fundamental for properly separating all decorrelation contributions which depend on the system parameters (such as SNR, quantization, and ambiguities) and on the acquisition geometry (volume and baseline decorrelation). Furthermore, both temporal and volume decorrelation phenomena affect the coherence measurement in repeat-pass systems, such as Sentinel-1, and cannot be separated, since different combinations of the two can be ascribed to different scattering mechanisms. The aim of this work is to analyze TanDEM-X repeat-pass interferometric time-series, aimed at understanding and modeling the temporal decorrelation at X band for different land cover classes. By exploiting bistatic systems such as TanDEM-X, the combined use of single- and repeat-pass data, derived from the same multi-temporal stack, allows for the isolation of volume and temporal decorrelation contributions. In this sense, the information given by TanDEM-X is unique: for instance it could support the modeling of InSAR coherence temporal dynamic for other sensors as well, by considering the link between different bandwidths. This topic will be investigated by comparing the temporal evolution of the coherence in overlapping time-series acquired by TanDEM-X (X band) and Sentinel-1 (C band) over the same ground area. Finally, a proper modeling of temporal decorrelation can also help to improve the accuracy of the currently developed techniques based on the analysis of the repeat-pass coherence, in particular when applied to land cover classification purposes.

Item URL in elib:https://elib.dlr.de/127231/
Document Type:Conference or Workshop Item (Poster)
Title:Modeling Temporal Decorrelation from Bistatic TanDEM-X Time-Series
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Pulella, Andreaandrea.pulella (at) dlr.dehttps://orcid.org/0000-0001-6295-617X
Rizzoli, PaolaPaola.Rizzoli (at) dlr.dehttps://orcid.org/0000-0001-9118-2732
Sica, FrancescopaoloFrancescopaolo.Sica (at) dlr.dehttps://orcid.org/0000-0003-1593-1492
Bueso Bello, Jose LuisJose-Luis.Bueso-Bello (at) dlr.dehttps://orcid.org/0000-0003-3464-2186
Date:16 May 2019
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Accepted
Keywords:TanDEM-X Time-Series, Temporal Decorrelation, InSAR coherence
Event Title:ESA Living Planet Symposium
Event Location:Milan, Italy
Event Type:international Conference
Event Dates:2019-05-13 - 2019-05-17
Organizer:ESA
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 - SAR-Methodology
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Spaceborne SAR Systems
Deposited By: Pulella, Andrea
Deposited On:02 May 2019 17:07
Last Modified:31 Jul 2019 20:25

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