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The digital Earth Observation Librarian:a data mining approach for large satellite images archives

Big Earth Data 2020年第3期4卷 265-294页

作者： Mihai Datcu Alexandru-Cosmin Grivei Daniela Espinoza-Molina Corneliu Octavian Dumitru christoph reck Vlad Manilici Gottfried Schwarz German Aerospace Center Remote Sensing Technology InstituteWesslingGermany Research Center for Spatial Information University Politehnica of BucharestBucharestRomania German Remote Sensing Data Center German Aerospace CenterWesslingGermany

Throughout the years,various Earth Observation(EO)satellites have generated huge amounts of *** extraction of latent information in the data repositories is not a trivial *** methodologies and tools,being capable of handling the size,complexity and variety of data,are *** scientists require support for the data manipulation,labeling and information extraction *** paper presents our Earth Observation Image Librarian(EOLib),a modular software framework which offers innovative image data mining capabilities for TerraSAR-X and EO image data,in *** main goal of EOLib is to reduce the time needed to bring information to end-users from Payload Ground Segments(PGS).EOLib is composed of several modules which offer functionalities such as data ingestion,feature extraction from SAR(Synthetic Aperture Radar)data,meta-data extraction,semantic definition of the image content through machine learning and data mining methods,advanced querying of the image archives based on content,meta-data and semantic categories,as well as 3-D visualization of the processed *** is operated by DLR’s(German Aerospace Center’s)Multi-Mission Payload Ground Segment of its Remote Sensing Data Center at Oberpfaffenhofen,Germany.

关键词： Earth observation TerraSAR-X data mining system

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Insights into CODE-DE–Germany’s Copernicus data and exploitation platform

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Big Earth Data 2019年第4期3卷 338-361页

作者： Tobias Storch christoph reck Stefanie Holzwarth Bert Wiegers Nico Mandery Ulrich Raapea Christian Strobl Rouven Volkmann Martin Böttcher Andreas Hirner Johanna Senft Nicolae Plesia Thomas Kukuk Stephan Meissl Jens-Rainer Felske Thomas Heege Vanessa Keuck Michael Schmidt Helmut Staudenrausch Earth Observation Center(EOC) German Aerospace Center(DLR)WeßlingGermany T-Systems SfR GmbH BonnGermany Brockmann Consult GmbH GeesthachtGermany GAF AG MunichGermany EOX IT Services GmbH ViennaAustria Werum Software&Systems AG LüneburgGermany EOMAP GmbH&Co.KG SeefeldGermany Programme Strategy Space R&D German Aerospace Center(DLR)CologneGermany Space Administration German Aerospace Center(DLR)BonnGermany

This article presents and analyses the modular architecture and capabilities of CODE-DE(Copernicus Data and Exploitation Platform–Deutschland,***),the integrated German operational environment for accessing and processing Copernicus data and products,as well as the methodology to establish and operate the *** March 2017,CODE-DE has been online with access to Sentinel-1 and Sentinel-2 data,to Sentinel-3 data shortly after this time,and since March 2019 with access to Sentinel-5P *** products are available and accessed by 1,682 registered users as of March *** this period 654,895 products were downloaded and a global catalogue was continuously updated,featuring a data volume of 814 TByte based on a rolling archive concept supported by a reload mechanism from a long-term *** November 2017,the element for big data processing has been operational,where registered users can process and analyse data themselves specifically assisted by methods for value-added product *** 195,467 core and 696,406 memory hours,982,948 products of different applications were fully automatically generated in the cloud environment and made available as of March *** features include an improved visualization of available Sentinel-2 products,which are presented within the catalogue client at full 10 m resolution.

关键词： Big earth data big data processing online data access Sentinel Copernicus CODE-DE collaborative ground segment

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