Category: Community event
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EO Workshop
Geoportti is organizing an Earth Observation workshop to bring the EO community together to: The event is free of charge. Time: 16.05.2022, 12.30-16.00 Location: hybrid – Viikki campus and online (Teams) Registration and more information: https://ssl.eventilla.com/event/zArJA
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Geoinformatics research days 2022
The Finnish University Network for Geoinformatics (Fiuginet) organizes the annual Geoinformatics Research Days on Monday, May 9th and Tuesday, May 10th on Kumpula campus, Helsinki. The event will be divided into seminar day on Monday, where the focus is on delivering high quality talks related to geoinformatics research and societal impact. On Tuesday, the focus…
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Save the date: Geoinformatics research days 9-10.5.2022
The Geoinformatics Research days will be arranged as a two-day hybrid conference on May 9-10, 2022. The physical part of the conference will be held in Helsinki. Book these days in your calendar. Further details will follow.
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Geoinformatics Research Days 4.-5.5.2021, online
The Finnish University Network for Geoinformatics (FIUGINET) organizes the annual Geoinformatics Research Days on May 4th and 5th 2021 as an online conference. The two-day event is divided into half-day afternoon meetings on Tuesday and Wednesday. This year the conference is dedicated to scientific oral presentations by invited researchers, on their topical research utilizing GIS…
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Symposium: CoastGIS 2020 – Sustainable Coastal Planning in a Changing World (17-19 September)
The CoastGIS 2020 Coastal GIS Symposium in Raseborg will be the 14th international exchange of knowledge, ideas and experience on how spatial data and information technologies aid marine and coastal zone managers and stakeholders in better understanding and managing coastal space and resources. The theme “Sustainable Coastal Planning in a Changing World” refers to the…
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Course: Practical machine learning for spatial data (30.3-1.4.2020, at CSC)
The course, organized by CSC, gives a practical introduction to machine learning for spatial data, both to shallow learning and deep learning models, especially convolutional neural networks (CNN). The course consists of lectures and hands-on exercises, on both local computers and on Puhti-AI supercomputer. For more info, see https://csc.fi/web/training/-/practical-machine-learning-for-spatial-da-1