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DTSTART;VALUE=DATE:20200708
DTEND;VALUE=DATE:20200711
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SUMMARY:agit2020
DESCRIPTION:  \nDie AGIT ist der jährliche Treffpunkt für Innovation\, Vernetzung und Weiterbildung in allen Bereichen der Geoinformation. Interdisziplinäre Diskussionen\, zukunftsweisende Ideen und eine einzigartig freundliche Atmosphäre begleiten und prägen den 3-tägigen Austausch von Wissenschaft und Forschung\, Wirtschaft und Anwendung. \nGeoinformatik ist als leistungsfähige Methodik auf Grundlage von georeferenzierten Technologien etabliert\, und heute aus unterschiedlichsten Anwendungsdomänen nicht mehr wegzudenken. Wie kam es zu dieser dynamischen Entwicklung hin zu einer Schlüsseldisziplin der Digitalisierung aller Lebens- und Wirtschaftsbereiche? Koordinaten dienen als Schlüssel zur Verknüpfung jeglicher ortsbezogener Daten und Informationen. Durch deren Integration mittels ‚spatial joins‘ entstehen neue Informationen\, zusätzliches Wissen steht als Entscheidungsgrundlage in Gesellschaft\, Wissenschaft und Wirtschaft bereit. \n 
URL:https://www.cophub-ac.eu/event/agit2020/
LOCATION:University of Salzburg (Natrual Sciences Faculty)\, Hellbrunner Str. 34\, Salzburg\, 5020\, Austria
CATEGORIES:Conference,Exposition
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20200707
DTEND;VALUE=DATE:20200711
DTSTAMP:20200127T152043Z
CREATED:20200127T152043Z
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SUMMARY:GI_Forum2020
DESCRIPTION:  \nGI_Forum provides a platform for dialogue among geospatial minds\, informing the GeoInformation Society\, contributing to a more just\, ethical and sustainable society. \nGeoInformatics is established today as effective methodology\, based on georeferenced technologies and has become the standard feature in many application domains. How did this dynamic development towards a key discipline of digitalization happen\, not only in the economic sector but in all spheres of our daily lives? \nCoordinates serve as key connection among all location-based data and information. Integration by means of ‘spatial joins’ results in new information\, thus\, providing additional knowledge as basis of decision-making processes for science\, economy and our entire society.
URL:https://www.cophub-ac.eu/event/gi_forum2020/
LOCATION:University of Salzburg (Natrual Sciences Faculty)\, Hellbrunner Str. 34\, Salzburg\, 5020\, Austria
CATEGORIES:Conference,Exposition
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DTSTART;VALUE=DATE:20200707
DTEND;VALUE=DATE:20200709
DTSTAMP:20200127T151026Z
CREATED:20200127T151026Z
LAST-MODIFIED:20200127T151026Z
UID:1481-1594080000-1594252799@www.cophub-ac.eu
SUMMARY:GEOBIA 2020
DESCRIPTION:  \nThis special GEOBIA track will be a 1.5 days conference within the multi-faceted GI_Week\, taking place from July 7 – 10\, 2020. As continuation of seven successful GEOBIA conferences since its launch in 2006\, this special event will return “home” – to the place where it all began. \nThe primary goal of Earth observation (EO) is to map\, analyse\, and monitor the status and dynamics of complex Earth system phenomena. Through the spatial lens and ‘imaging’ reality\, we shall obtain quantifiable indicators and other objective information for improved decision-making and status reporting. Within EO applications\, object-based image analysis (OBIA) has become a key methodological enabler to address spatial\, topological\, and hierarchical properties of image objects  with an underlying conceptual model close to the way how we perceive (and mentally organise) reality. \nRecent advances in big EO data management and analytics\, including data cube solutions\, massive data storage and access infrastructure\, has pushed for higher grounds in operational image processing and analysis-ready data; but often re-emphasizing per-pixel analysis. Machine learning\, in particular deep learning using CNNs\, can also employ scale and neighbourhood\, while the performance largely depends on quality and amount of samples.  Hybrid approaches may foster the combined use of knowledge-based and (physical) model-based approaches and machine learning. On finer levels of elementary image objects\, where sufficient high-quality samples are abundant\, ML-strategies may outperform the tedious process of explicit object descriptors and segmentation tuning; complementary\, when generating composite objects on higher organisational levels\, where samples are sparse and clear models and definitions exist\, a knowledge-based direct modelling of object properties and relationships may be more cost- and time-efficient. \nTopics include\, but are not limited\, to: \n\nSpatio-temporal concepts in image understanding\nMulti-scale image analysis\nObject-specific quality indicators\nHybrid approaches (combining machine learning and machine teaching)\nState of play of OBIA methods and tools in open source and commercial software environments\nBest practice OBIA in operational solutions (e.g. Copernicus info services\, SDG indicators\, etc.)\nBig EO data – back to pixels?
URL:https://www.cophub-ac.eu/event/geobia-2020/
LOCATION:University of Salzburg (Natrual Sciences Faculty)\, Hellbrunner Str. 34\, Salzburg\, 5020\, Austria
CATEGORIES:Conference,Exposition
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