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Ten Years of Experience with Scientific TerraSAR-X Data Utilization

Roth, Achim and Marschalk, Ursula and Winkler, Karina and Schättler, Birgit and Huber, Martin and Georg, Isabel and Künzer, Claudia and Dech, Stefan (2019) Ten Years of Experience with Scientific TerraSAR-X Data Utilization. In: Ten Years of TerraSAR-X Scientific Results (ISBN = 978-3-03897-724-7) Multidisciplinary Digital Publishing Institute (MDPI). pp. 4-31. ISBN 978-3-03897-724-7 (Pbk); 978-3-03897-725-4 (PDF). ISSN 2072-4292

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Abstract

This paper presents the first comprehensive review on the scientific utilization of earth observation data provided by the German TerraSAR-X mission. It considers the different application fields and technical capabilities to identify the key applications and the preferred technical capabilities of this high-resolution SAR satellite system from a scientific point of view. The TerraSAR-X mission is conducted in a close cooperation with industry. Over the past decade, scientists have gained access to data through a proposal submission and evaluation process. For this review, we have considered 1636 data utilization proposals and analyzed 2850 publications. In general, TerraSAR-X data is used in a wide range of geoscientific research areas comprising anthroposphere, biosphere, cryosphere, geosphere, and hydrosphere. Methodological and technical research is a cross-cutting issue that supports all geoscientific fields. Most of the proposals address research questions concerning the geosphere, whereas the majority of the publications focused on research regarding “methods and techniques”. All geoscientific fields involve systematic observations for the establishment of time series in support of monitoring activities. High-resolution SAR data are mainly used for the determination and investigation of surface movements, where SAR interferometry in its different variants is the predominant technology. However, feature tracking techniques also benefit from the high spatial resolution. Researchers make use of polarimetric SAR capabilities, although they are not a key feature of the TerraSAR-X system. The StripMap mode with three meter spatial Resolution is the preferred SAR imaging mode, accounting for 60 percent of all scientific data acquisitions. The Spotlight modes with the highest spatial resolution of less than one meter are requested by only approximately 30 percent of the newly acquired TerraSAR-X data.

Item URL in elib:https://elib.dlr.de/133769/
Document Type:Contribution to a Collection
Additional Information:Reprinted from: Remote Sens. 2018, 10, 1170, doi:10.3390/rs10081170
Title:Ten Years of Experience with Scientific TerraSAR-X Data Utilization
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Roth, AchimAchim.Roth (at) dlr.deUNSPECIFIED
Marschalk, Ursulaursula.marschalk (at) dlr.deUNSPECIFIED
Winkler, Karinakarina.winkler (at) dlr.deUNSPECIFIED
Schättler, BirgitBirgit.Schaettler (at) dlr.dehttps://orcid.org/0000-0001-8629-6014
Huber, MartinMartin.Huber (at) dlr.dehttps://orcid.org/0000-0003-2665-2149
Georg, Isabelisabel.georg (at) dlr.deUNSPECIFIED
Künzer, ClaudiaClaudia.Kuenzer (at) dlr.deUNSPECIFIED
Dech, StefanStefan.Dech (at) dlr.deUNSPECIFIED
Date:April 2019
Journal or Publication Title:Ten Years of TerraSAR-X Scientific Results (ISBN = 978-3-03897-724-7)
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 4-31
Editors:
EditorsEmailEditor's ORCID iD
Eineder, MichaelDLR-IMFUNSPECIFIED
Roth, AchimDLR-DFDUNSPECIFIED
Moreira, AlbertoDLR-IHRUNSPECIFIED
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
ISBN:978-3-03897-724-7 (Pbk); 978-3-03897-725-4 (PDF)
Status:Published
Keywords:TerraSAR-X; synthetic aperture radar (SAR), radar mission; remote sensing
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 - TSX/TDS Payload ground segment
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Roth, Achim
Deposited On:22 Jan 2020 12:50
Last Modified:03 Feb 2020 09:15

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