TU Wien - Revision history

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Created page with "caption [Home] - [EODC] - [GeoVille] - [CIMA Foundation] - [DLR] - LIS..."

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[[GFMS | [Home]]] - [[EODC | [EODC]]] - [[GeoVille | [GeoVille]]] - [[CIMA Foundation | [CIMA Foundation]]] - [[DLR | [DLR]]] - [[LIST | [LIST]]]
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The '''Luxembourg Institute of Science and Technology (LIST)''' is a research and technology organization active in the fields of materials, environment and information technology, under the trusteeship of the country’s Ministry of Higher Education and Research. <br>
Its mission is contribute to Luxembourg’s reputation through a participation in several targeted research areas as well as to accelerate the country’s socio-economic development. '''LIST''' aligns its strategic priorities with the [https://gouvernement.lu/en.html Luxembourg government]'s strategy of economic diversification by enhancing the country’s competitiveness and its position as a global hub for excellence in research and innovation. <br>
It works across the entire innovation chain: fundamental and applied research, incubation, transfer of technologies. By transforming scientific knowledge into technologies, ''smart data'' and tools, '''LIST''' empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.

Together with [[DLR]] and [[LIST]], '''TU Wien''' is part of the core ''Expert Group'' that was set up by [https://ec.europa.eu/jrc JRC] to assess the feasibility of an automated, global, satellite-based flood monitoring product, in order to complement and enhance the capabilities of the [https://emergency.copernicus.eu/mapping/ems/risk-and-recovery-mapping-portfolio CEMS] for mapping and monitoring floods.

More info on [https://www.tuwien.at/ TU Wien] official website
[[File:dlr.jpg|left|100px|caption]] <br>

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[[GFMS | [Home]]] - [[EODC | [EODC]]] - [[GeoVille | [GeoVille]]] - [[CIMA Foundation | [CIMA Foundation]]] - [[DLR | [DLR]]] - [[LIST | [LIST]]]

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 The experts of '''TU Wien''' contribute to the consortium an in-depth knowledge of SAR data processing, building upon a long-standing experience with the European [https://earth.esa.int/eogateway/missions/envisat Envisat] and [https://sentinel.esa.int/web/sentinel/missions/sentinel-1 Sentinel-1] missions. <br>
-With its SAR team focusing on Level-1 data ingestion, processing, aggregation, and the retrieval of geophysical variables feeding into Level-2 products, a strong scientific and technical competence on Sentinel-1 IW and EW mode data has been gained. The pre-processing engine of the SAR Geophysical Retrieval Toolbox (SGRT) – which dates back to 2007 and has been constantly enhanced and adapted – features a near-real-time-capable (NRT) workflow especially tailored for Sentinel-1 input. It integrates the state-of-the-art geocoding and calibration functionalities of [https://step.esa.int/main/toolboxes/snap/ ESA’S SNAP Toolbox], as well as an in-house-developed border-noise-removal algorithm and several automated routines for quality-control, resampling and gridding. With the perspective of Big Data entering remote sensing, the spatiotemporal datacube for raster data based on the Equi7Grid was created in 2014 and is hosted now by [[EODC]], allowing a geometric accurate and efficient handling and storage of massive satellite data volumes. <br>
+With its SAR team focusing on Level-1 data ingestion, processing, aggregation, and the retrieval of geophysical variables feeding into Level-2 products, a strong scientific and technical competence on Sentinel-1 IW and EW mode data has been gained. The pre-processing engine of the SAR Geophysical Retrieval Toolbox (SGRT) – which dates back to 2007 and has been constantly enhanced and adapted – features a near-real-time-capable (NRT) workflow especially tailored for Sentinel-1 input. It integrates the state-of-the-art geocoding and calibration functionalities of [https://step.esa.int/main/toolboxes/snap/ ESA’S SNAP Toolbox], as well as an in-house-developed border-noise-removal algorithm and several automated routines for quality-control, resampling and gridding. With the perspective of Big Data entering remote sensing, the spatiotemporal datacube for raster data based on the [https://github.com/TUW-GEO/Equi7Grid/blob/master/equi7grid/copernicusgrid.py Equi7Grid] was created in 2014 and is hosted now by [[EODC]], allowing a geometric accurate and efficient handling and storage of massive satellite data volumes. <br>
 In addition to the two other thematic key variables soil moisture and vegetation, the mapping and monitoring of water bodies has been the central topic of several research and operation projects of TU Wien. Thanks to the possibility of directly accessing the Sentinel-1 datacube and analysing the full time series of SAR backscatter at pixel level, the delineation of permanent and seasonal water body extent can be achieved on a global scale. <br>

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 Owing to an intense collaboration with the IT-departments of [[EODC]] and '''TU Wien''', the remote sensing research group is experienced in handling large earth observation data volumes and developing software packages for automatic processing.
-RELATED EXPERTISE
+===Related expertise===
-The experts of TU Wien contribute to the consortium an in-depth knowledge of SAR data processing, building upon a long-standing experience with the European Envisat and Sentinel-1 missions. With its SAR team focusing on Level-1 data ingestion, processing, aggregation, and the retrieval of geophysical variables feeding into Level-2 products, a strong scientific and technical competence on Sentinel-1 IW and EW mode data has been gained. The pre-processing engine of the SAR Geophysical Retrieval Toolbox (SGRT) – which dates back to 2007 and has been constantly enhanced and adapted – features a near-real-time-capable (NRT) workflow especially tailored for Sentinel-1 input. It integrates the state-of-the-art geocoding and calibration functionalities of ESA’S SNAP Toolbox, as well as an in-house-developed border-noise-removal algorithm and several automated routines for quality-control, resampling and gridding. With the perspective of Big Data entering remote sensing, the spatiotemporal datacube for raster data based on the Equi7Grid was created in 2014 and is hosted now by EODC, allowing a geometric accurate and efficient handling and storage of massive satellite data volumes.
+The experts of '''TU Wien''' contribute to the consortium an in-depth knowledge of SAR data processing, building upon a long-standing experience with the European [https://earth.esa.int/eogateway/missions/envisat Envisat] and [https://sentinel.esa.int/web/sentinel/missions/sentinel-1 Sentinel-1] missions. <br>
 More info on [https://www.tuwien.at/ TU Wien] official website

← Older revision		Revision as of 15:36, 19 April 2021
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	[[GFMS \| [Home]]] - [[EODC \| [EODC]]] - [[GeoVille \| [GeoVille]]] - [[CIMA Foundation \| [CIMA Foundation]]] - [[DLR \| [DLR]]] - [[LIST \| [LIST]]]		[[GFMS \| [Home]]] - [[EODC \| [EODC]]] - [[GeoVille \| [GeoVille]]] - [[CIMA Foundation \| [CIMA Foundation]]] - [[DLR \| [DLR]]] - [[LIST \| [LIST]]]
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		+	The Technische Universität Wien ('''TU Wien''') was founded in 1815 as ''k. k. polytechnisches Institut'', making it the first University of Technology in today’s German speaking area. <br>
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		+	TU Wien’s microwave remote sensing (MRS) research group, which contributes to this consortium, is part of the Department for Geodesy and Geoinformation (GEO). The department conducts research and teaching in observing, modelling, and communicating geoscientific states and processes, and has a staff of about 100. The MRS focuses on the physical modelling of radar backscatter and the retrieval of soil moisture, water bodies, vegetation, and other geophysical variables from scatterometer and Synthetic Aperture Radar (SAR) data. <br>
		+	Their scientific work has paved the ground for several operational soil moisture data services for [https://www.eumetsat.int/ascat ASCAT] and [https://sentinel.esa.int/web/sentinel/missions/sentinel-1 Sentinel-1] in cooperation with national (e.g. [https://www.zamg.ac.at/ ZAMG], [[EODC]]) and international (e.g. [https://www.eumetsat.int/ EUMETSAT], [https://ecmwf.int ECMWF]) partners. These data services have been developed and operated within the framework of EUMETSAT’s Satellite Application Facility in Support to Operational Hydrology and Water Management ([http://hsaf.meteoam.it/ HSAF]), the Copernicus Global Land and Climate Change Services ([https://land.copernicus.eu/global/index.html CGLS] and [https://cds.climate.copernicus.eu/about-c3s C3S]), and the [https://climate.esa.int/ ESA Climate Change Initiative] (CCI). <br>
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		+	In addition to the scientific output in numerous peer-reviewed research articles and conference contributions, most scientific algorithms and satellite data management software developed by the MRS team for scatterometer and SAR data analysis are implemented in various Python libraries, several of which are available as open source on https://github.com/TUW-GEO. The software libraries for ASCAT and Sentinel-1 are designed to allow global and operational processing, and have been deployed on desktop computers, operational systems, cloud platforms and high performance computing environments. The MRS group has led and participated in international research projects funded by [http://www.esa.int/ ESA] and the [https://ec.europa.eu/ European Commission].
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		+	'''TU Wien''' has been one of the initiators and co-founders of the [[EODC]]. In addition to being able to use [[EODC]]’s Petabyte-scale storage with its stored Sentinel EO data (Sentinel-1: Globally all available GRD data; Sentinel-2: Globally all available L1C data), its cloud platform, and '''TU Wien'''’s supercomputing facilities (Vienna Scientific Cluster), the '''TU Wien''' MRS group has powerful in-house processing capabilities: they operate an 800 TB Fileserver with a 1 PB robotic tape library, 12 top end working stations, several terminal servers, approximately 80 workstations and a back-up server. The internal network is based upon a Windows Active Directory Domain. <br>
		+	Owing to an intense collaboration with the IT-departments of [[EODC]] and '''TU Wien''', the remote sensing research group is experienced in handling large earth observation data volumes and developing software packages for automatic processing.
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		+	RELATED EXPERTISE
		+	The experts of TU Wien contribute to the consortium an in-depth knowledge of SAR data processing, building upon a long-standing experience with the European Envisat and Sentinel-1 missions. With its SAR team focusing on Level-1 data ingestion, processing, aggregation, and the retrieval of geophysical variables feeding into Level-2 products, a strong scientific and technical competence on Sentinel-1 IW and EW mode data has been gained. The pre-processing engine of the SAR Geophysical Retrieval Toolbox (SGRT) – which dates back to 2007 and has been constantly enhanced and adapted – features a near-real-time-capable (NRT) workflow especially tailored for Sentinel-1 input. It integrates the state-of-the-art geocoding and calibration functionalities of ESA’S SNAP Toolbox, as well as an in-house-developed border-noise-removal algorithm and several automated routines for quality-control, resampling and gridding. With the perspective of Big Data entering remote sensing, the spatiotemporal datacube for raster data based on the Equi7Grid was created in 2014 and is hosted now by EODC, allowing a geometric accurate and efficient handling and storage of massive satellite data volumes.
		+	In addition to the two other thematic key variables soil moisture and vegetation, the mapping and monitoring of water bodies has been the central topic of several research and operation projects of TU Wien. Thanks to the possibility of directly accessing the Sentinel-1 datacube and analysing the full time series of SAR backscatter at pixel level, the delineation of permanent and seasonal water body extent can be achieved on a global scale. Most recent research has been conducted on the analysis of temporal and spatial signatures of water bodies to estimate flood frequencies and to detect flood events.
		+	RELATED EXPERIENCE
		+	The microwave remote sensing (MRS) research group of TU Wien has been part of several operational and thematic-related projects:
		+	• Copernicus Global Land Service (GIO-GL, C-GLOPS1, C-GLOPS2; 2013-ongoing): NRT provision of a portfolio of bio-geophysical products on the status and evolution of land surface at global scale, using the most
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