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PRODID:-//eo science for society - ECPv5.0.2.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:eo science for society
X-ORIGINAL-URL:https://eo4society.esa.int
X-WR-CALDESC:Events for eo science for society
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TZID:Europe/Helsinki
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20190331T010000
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TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20191027T010000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20190620
DTEND;VALUE=DATE:20190625
DTSTAMP:20260409T214158
CREATED:20190416T064734Z
LAST-MODIFIED:20210316T152830Z
UID:6087-1560988800-1561420799@eo4society.esa.int
SUMMARY:Trans-Atlantic Training 2019 (TAT-7): Radar and Optical Remote Sensing in the Agricultural and Environmental Monitoring
DESCRIPTION:The purpose of the series of Trans-Atlantic Training (TAT) courses is to disseminate and discuss research methods and technologies from space. It is organised jointly by ESA\, NASA and the Charles University of Prague\, in close cooperation with the Regional Information Network for Southern\, Central and Eastern Europe (SCERIN). This training was the seventh in the series of TAT courses. \nThis edition was hosted by the University of Novi Sad\, Serbia\, from 20 to 24 June 2019. \nThe contents focused on Earth Observation from optical and radar sensors for environmental applications with emphasis on agriculture. \nIn the program were included technologies for big EO image analysis\, concepts for time series analysis for Land Use/Land Cover and the combination of social data with Remote Sensing data. The theoretical and practical sessions used data from ESA and NASA missions with a variety of software (e.g. SNAP\, Sentinel Hub\, QGIS/Orfeo Toolbox\, EO Compass\, Open Data Cube\, ArcGIS\, Google Earth Engine).The ESA sessions used Virtual Machines from ONDA DIAS. \nA total of 32 early-career scientists and university students joined this event\, mainly from the region of Central and Eastern Europe. \nThe complete course material and programme are accessible here below. \nThe larger datasets used for exercises are available in the TAT website. \n \n \n  \n  \nFeatured image : Novi Sad\, Serbia. Credit: Nick Savchenko \n
URL:https://eo4society.esa.int/event/2019-tat-7/
LOCATION:University of Novi Sad\, Trg Dositeja Obradovića 3\, Novi Sad\, 21000\, Serbia
CATEGORIES:Training/Education
ATTACH;FMTTYPE=image/jpeg:https://eo4society.esa.int/wp-content/uploads/2019/04/noviSad-e1555328749119.jpg
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