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UID:pretalx-foss4g-2022-SJENBF@talks.staging.osgeo.org
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DESCRIPTION:The continuously increasing amount of long-term and of historic
  data in EO facilities in the form of online datasets and archives makes i
 t necessary to address technologies for the longterm management of these d
 ata sets\, including their consolidation\, preservation\, and continuation
  across multiple missions. The management of long EO data time series of c
 ontinuing or historic missions\, with more than 20 years of data available
  already today\, requires technical solutions and technologies which diffe
 r considerably from the ones exploited by existing systems. \n\nThe ESA pr
 oject LOOSE (Technologies for the Management of LOng EO Data Time Series) 
 enables investigating\, testing and implementing new technologies to suppo
 rt long time series processing. \n\nFor specific tasks (such as ingestion\
 , discovery\, access\, processing\, analysis of EO data) a multitude of co
 mpletely different mature open source components is usually available. LOO
 SE aims at combining functionally similar solutions from different heritag
 es into one comprehensive framework. LOOSE even supports parallelism in a 
 way that multiple solutions for the identical task are available and the a
 pplication developer is invited to chose between these different component
 s during implementation (e. g. "GeoServer" versus "EOXServer"). \n\nIn add
 ition\, LOOSE partners extended well-known existing components with new ca
 pabilities (=interfaces) to support efficient ingestion\, discovery\, expl
 oitation optimized access\, processing and optimized analysis of EO data t
 imeseries. For example\, GeoServer was extended with the capability to han
 dle STAC metadata. \n\nOverall outcome of the project is a "blueprint arch
 itecture concept" which focuses on the interfaces between components and t
 akes innovative concepts such as Bulk data retrieval from dedicated archiv
 es\, OGC's Data Analysis Processing API and Data Cubes offering Discrete G
 lobal Grid Systems into consideration (see enclosed viewgraph).\n\nThe LOO
 SE system architecture is inspired by the EO Exploitation Platform Common 
 Architecture (EOEPCA) and focuses on the technological evolution of select
 ed services that enable the end-to-end workflow from retrieving long-term 
 archived EO products to the extraction of high-level information based on 
 processed value-added datasets. Architecture and interoperability are eval
 uated within LOOSE by using different implementations of these services (e
 .g. EOxServer and GeoServer) and deploying the whole system on two differe
 nt infrastructures (DLR/LRZ and Mundi/OTC). The complete LOOSE infrastruct
 ure is built on Kubernetes and is therefore well transferrable between dif
 ferent cloud providers.\n\nThe validity of the LOOSE blueprint architectur
 e is demonstrated in three different real-world application pilots.\nThese
  applications are covering totally different thematic areas: \n- Agricultu
 ral monitoring (based on Sentinel-1 and -2 data)\, \n- monitoring urbaniza
 tion globally (also based on Sentinel-1 and -2) and \n- supporting fishery
  in the Black Sea (multi sensor approach\, including in situ-data).\n\nLOO
 SE partners are DLR (Oberpfaffenhofen)\, EOX (Vienna)\, Terrasigna (Buchar
 est) and Mundialis (Bonn).
DTSTAMP:20260403T193011Z
LOCATION:General online
SUMMARY:LOOSE: Combining loosely coupled components into coherent architect
 ure - Vasile Crăciunescu\, Julian Meyer-Arnek
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/SJENBF/
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