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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
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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:20190930
DTEND;VALUE=DATE:20191002
DTSTAMP:20261017T033402
CREATED:20190718T124056Z
LAST-MODIFIED:20210416T130409Z
UID:7217-1569801600-1569974399@eo4society.esa.int
SUMMARY:IV ESA EARSEL CNR School: Remote Sensing for Forest Fires
DESCRIPTION:ESA\, CNR and EARSeL organised a course dedicated to exploiting data from active and passive Earth Observation sensors for applications related to forest fires\, and to discuss relevant research methods and technologies.\nThe course was held on the occasion of the workshop “12th EARSeL Forest Fires SIG Workshop” (3-5 October 2019\, Rome\, Italy). \nThe programme focused mainly on the use of optical and radar sensors for fire hazard estimation\, active fire mapping\, burned area mapping and fire emissions\, and included techniques such as Self Organized Maps and Machine Learning. The practicals used a variety of data (e.g. Sentinel-1\, Sentinel-2\, Sentinel-3\, Sentinel-5P) and software (e.g. SNAP\, EO Browser\, CCI Toolbox\, Jupyter Notebook)\, and utilised mainly virtual machines from the Copernicus Research and User Support (RUS). \nThe training addressed 24 users\, mostly early career researchers and university students from European countries. \nAccess here below the full programme and training materials (both theory and practicals). \n \n  \n  \n \n
URL:https://eo4society.esa.int/event/iv-esa-earsel-cnr-school-2019/
LOCATION:ESA-ESRIN\, Largo Galileo Galilei\, 1\, Frascati\, RM\, 00044\, Italy
CATEGORIES:Training/Education
ATTACH;FMTTYPE=image/jpeg:https://eo4society.esa.int/wp-content/uploads/2019/07/Forest_Fires.jpg
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