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Distributed scatterer interferometry tailored to the analysis of big InSAR data

Ansari, Homa and De Zan, Francesco and Bamler, Richard (2018) Distributed scatterer interferometry tailored to the analysis of big InSAR data. EUSAR 2018, 2018-06-04 - 2018-06-07, Aachen, Deutschland.

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Wide-swath satellite missions with short revisit times, such as Sentinel-1 and NISAR, provide an unprecedented wealth of interferometric time series and open new opportunities for systematic monitoring of the Earth surface. The process-ing of the emerging Big Data with the state-of-the-art InSAR time series analysis techniques is, however, computa-tionally challenging. A new demand has emerged for the analysis of the fast growing data volumes specifically for systematic near real-time (NRT) monitoring of the Earth surface. We have addressed this demand by the proposal of two efficient alternative estimators for NRT processing of the emerging Big Data in [1, 2]. In this contribution, a hybrid approach based on the proposed estimators is introduced and applied in efficient wide area processing of two-year archive of Sentinel-1 data over eastern part of the Trans-Mexican Volcanic Belt.

Item URL in elib:https://elib.dlr.de/116283/
Document Type:Conference or Workshop Item (Speech)
Title:Distributed scatterer interferometry tailored to the analysis of big InSAR data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Ansari, HomaUNSPECIFIEDhttps://orcid.org/0000-0002-4549-2497UNSPECIFIED
Date:June 2018
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-5
Keywords:Big Data, Differential InSAR, Time Series, Estimation Efficiency
Event Title:EUSAR 2018
Event Location:Aachen, Deutschland
Event Type:international Conference
Event Start Date:4 June 2018
Event End Date:7 June 2018
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 - Vorhaben Tandem-L Vorstudien (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Remote Sensing Technology Institute > Leitungsbereich MF
Deposited By: Ansari, Homa
Deposited On:05 Dec 2017 11:30
Last Modified:24 Apr 2024 20:20

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