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X-WR-CALDESC:Events for OpenGeoHub Foundation: Connect | Create | Share | Repeat
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DTSTART:20210101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20220603T143000
DTEND;TZID=UTC:20220603T163000
DTSTAMP:20260421T184933
CREATED:20220525T135542Z
LAST-MODIFIED:20220525T135542Z
UID:152672-1654266600-1654273800@opengeohub.org
SUMMARY:Global Land Use and Land Cover Monitoring: Main Products and Major Perspectives
DESCRIPTION:About:\n\nAs the global population grows\, humankind continues to modify the land use and land cover (LULC) of the planet mainly motivated by the increasing demand for food and commodities production.  \nIn the last 50 years\, about 17% of land use on the Earth’s surface has changed\, an unprecedented conversion of natural landscapes modifying climate regimes\, reducing biodiversity and contributing to the overall global warming. This process has been under close monitoring for many decades through satellites orbiting the Earth (e.g. Landsat-8\, Sentinel-2\, PROBA-V)\, responsible for frequently delivering updated image data on a global scale. Thanks to the recent advances in Machine Learning\, high processing/cloud computing and remote sensing have allowed multiple research institutes to transform this large imagery archive into LULC mapping products\, contributing to a better understanding of the drivers behind land conversion and their impacts on the global environment. \nIn this discussion panel\, you will learn more about the main LULC products produced by the World Resource Institute\, the University of Maryland and Wageningen University\, including their methodology\, characteristics\, applicability\, limitations as well future perspectives. During the discussion\, the audience will have the opportunity to ask questions and make comments on specific topics. \nFollow the live stream with: \n\nMonitoring the pulse of the planet’s land and its nature-based carbon – Fred Stolle (World Resources Institute)\nGlobal land cover change and human impact on natural land – Matthew Hansen (University of Maryland)\nAdvancements in European efforts in global land cover mapping and map updating – Dainius Masiliunas and Nandika Tsenbazar (Wageningen University and Research)\n\nGeneral information:\n\nThis discussion forum is free-of-costs and can be followed in person or  via Teams’ streaming service;\nTo follow the live stream\, register on Eventbrite: https://www.eventbrite.com/e/global-land-use-and-land-cover-monitoring-main-productsmajor-perspectives-tickets-344785862797\nThe event is organized by the OpenGeoHub foundation in collaboration with Wageningen University;\nAfter the discussion panel\, we invite the participants to join the Happy Hour at the Spot bar (Orion building\, ground floor).
URL:https://opengeohub.org/event/global-land-use-and-land-cover-monitoring-main-products-and-major-perspectives/
LOCATION:Wageningen University Campus\, Droevendaalsesteeg 2\, Wageningen\, Netherlands
CATEGORIES:Science seminars
ATTACH;FMTTYPE=image/png:https://opengeohub.org/wp-content/uploads/2022/05/Global-Land-Use-and-Land-Cover-Monitoring_Twitter-2.png
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DTSTART;TZID=UTC:20220613T080000
DTEND;TZID=UTC:20220616T170000
DTSTAMP:20260421T184933
CREATED:20220408T142041Z
LAST-MODIFIED:20220408T142126Z
UID:152547-1655107200-1655398800@opengeohub.org
SUMMARY:OpenDataScience Europe Workshop 2022
DESCRIPTION:The workshop is part of the activities within the framework of Geo-harmonizer: EU-wide automated mapping system for harmonization of Open Data based on FOSS4G and Machine Learning. Geo-harmonizer is an European project\, financed by the European Commission through the European Health and Digital Executive Agency (HaDEA). \nConnecting Europe through Earth Observation and Open Data Missions \nThe workshop 2022 follows the main topics of the project: \n1. Dynamic mapping of land cover\, vegetation\, climate\, and environmental quality indices\,\n2. Spatiotemporal Machine Learning using Ensemble techniques\,\n3. Earth Data Cubes: spatiotemporal overlay\, modeling\, and visualization\,\n4. Geocomputing and geo-harmonization using Python\, R\, and Open Source GIS GDAL\, GRASS GIS\, QGIS\n5. Processing large raster datasets using High Performance and Distributed Computing\,\n6. Using geospatial harmonized European map products.\n7. Using AR/VR for geospatial data visualization \n  \nInfo\, registrations and abstract sumbission here.
URL:https://opengeohub.org/event/opendatascience-europe-workshop-2022/
LOCATION:Faculty of Civil Engineering\, Czech Technical University\, Thákurova 7\, Praha 6\,\, Prague\, Czech Republic
CATEGORIES:Conference,Science seminars
ATTACH;FMTTYPE=image/png:https://opengeohub.org/wp-content/uploads/2022/04/ODSE-Twitter.png
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BEGIN:VEVENT
DTSTART;TZID=UTC:20220620T080000
DTEND;TZID=UTC:20220622T190000
DTSTAMP:20260421T184933
CREATED:20220408T141014Z
LAST-MODIFIED:20220408T141014Z
UID:152543-1655712000-1655924400@opengeohub.org
SUMMARY:MOOD Summer School 2022
DESCRIPTION:To support the uptake of the Horizon-2020 MOOD project’s innovations\, WP6 led by OpenGeoHub will implement a dynamic knowledge transfer and capacity building addressing young researchers (Ph.D. candidates)\, professionals\, and technical staff through an exciting summer school on June 20th\, 21st\, and 22nd\, 2022 in Montpellier (France). Throughout a three-day full-immersion training\, expert lecturers will promote developed software and computing techniques\, tools\, and datasets. \nMore info & registrations here. \nType: hybrid
URL:https://opengeohub.org/event/mood-summer-school/
LOCATION:Agropolis Building\, 1000 Av. Agropolis\, Montpellier\, 34000\, France
CATEGORIES:Science seminars,Summer School
ATTACH;FMTTYPE=image/png:https://opengeohub.org/wp-content/uploads/2022/04/SUMMER-SCHOOL-2048x1152-1.png
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