Data Flow and Workflow Organization—The Data Management for the TerraSAR-X Payload Ground Segment

Wolfmüller, Meinhard; Dietrich, Daniele; Sireteanu, E.; Kiemle, Stephan; Mikusch, Eberhard; Böttcher, M.

doi:10.1109/tgrs.2008.2003074

Cited by 23 publications

(13 citation statements)

References 3 publications

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“…This approach guarantees the availability of processing resources for NRT processing at any time. All processing control functions are implemented within the Processing System Management (PSM), part of the Data Information Management System (DIMS) (Wolfmüller et al, 2008). DIMS is a work flow management system which contains also the order interface needed for order submission, and production control for processing request generation.…”

Section: Environmentmentioning

confidence: 99%

Near Real Time Applications for Maritime Situational Awareness

Schwarz

Krause

Berg

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Applications to derive maritime value added products like oil spill and ship detection based on remote sensing SAR image data are being developed and integrated at the Ground Station Neustrelitz, part of the German Remote Sensing Data Center. Products of meteo-marine parameters like wind and wave will complement the product portfolio. Research and development aim at the implementation of highly automated services for operational use. SAR images are being used because of the possibility to provide maritime products with high spatial resolution over wide swaths and under all weather conditions. In combination with other information like Automatic Identification System (AIS) data fusion products are available to support the Maritime Situational Awareness.

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Section: Environmentmentioning

confidence: 99%

Near Real Time Applications for Maritime Situational Awareness

Schwarz

Krause

Berg

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…the so-called payload data is an important activity of the ground segments of satellite missions. Figure 1(a) gives a high-level view of some of the basic data processing and user services available at EO data centers today, e.g., at the German Remote Sensing Data Center (DFD) of TELEIOS partner DLR through its Data Information and Management System (DIMS) [8].…”

Section: Basic Concepts Of the Teleios Earth Observatorymentioning

confidence: 99%

“…For example, in the TerraSAR-X archive managed by DFD, long term archiving is done using a hierarchy of storage systems (including a robotic tape library) which offers batch to near-line access, while product metadata are available on-line by utilizing a relational DBMS and an object-based query language [8].…”

Section: Basic Concepts Of the Teleios Earth Observatorymentioning

confidence: 99%

Building Virtual Earth Observatories Using Ontologies and Linked Geospatial Data

Koubarakis

Karpathiotakis

Kyzirakos

et al. 2012

Web Reasoning and Rule Systems

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“…The state-of-the-art of operational systems for EO data access (in particular for images) allows queries by geographical location, time of acquisition, or type of sensor [1]. Nevertheless, this information is often less relevant than the content of a scene (e.g., specific scattering properties, structures, and objects).…”

Section: Introductionmentioning

confidence: 99%

Very-High-Resolution SAR Images and Linked Open Data Analytics Based on Ontologies

Espinoza-Molina

Nikolaou

Dumitru

et al. 2015

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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In this paper, we deal with the integration of multiple sources of information such as Earth observation (EO) synthetic aperture radar (SAR) images and their metadata, semantic descriptors of the image content, as well as other publicly available geospatial data sources expressed as linked open data for posing complex queries in order to support geospatial data analytics. Our approach lays the foundations for the development of richer tools and applications that focus on EO image analytics using ontologies and linked open data. We introduce a system architecture where a common satellite image product is transformed from its initial format into to actionable intelligence information, which includes image descriptors, metadata, image tiles, and semantic labels resulting in an EO-data model. We also create a SAR image ontology based on our EO-data model and a two-level taxonomy classification scheme of the image content. We demonstrate our approach by linking high-resolution TerraSAR-X images with information from CORINE Land Cover (CLC), Urban Atlas (UA), GeoNames, and OpenStreetMap (OSM), which are represented in the standard triple model of the resource description frameworks (RDFs).

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Data Flow and Workflow Organization—The Data Management for the TerraSAR-X Payload Ground Segment

Cited by 23 publications

References 3 publications

Near Real Time Applications for Maritime Situational Awareness

Near Real Time Applications for Maritime Situational Awareness

Building Virtual Earth Observatories Using Ontologies and Linked Geospatial Data

Very-High-Resolution SAR Images and Linked Open Data Analytics Based on Ontologies

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