Kartalla parempaa palvelua – osallistu kartoitustapahtumaan 9.12.2025!
Kartalla parempaa palvelua – osallistu kartoitustapahtumaan 9.12.2025! Read More »
Shaping together in Germany – Designing games in the Ruhr area
If you wish to explore the previous parts of this retrospective three-part blog series, you can find the Norway blog
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Shaping Together in Malta – Exploring sustainability in the small Mediterranean nation
If you wish to explore the first part of this retrospective three-part blog series, you can find the Norway blog
Shaping Together in Malta – Exploring sustainability in the small Mediterranean nation Read More »
Shaping Together in Norway – Learning about geosciences in sunny Tautra and Trondheim
Blog series and project introduction Join us for our retrospective three-part blog series as geography students Elmiina, Liisi, Ronja, and
Shaping Together in Norway – Learning about geosciences in sunny Tautra and Trondheim Read More »
DIDAIhub: Introduction to AI
Introduction to AI offers a comprehensive journey into the world of AI, starting from its foundational concepts to its practical
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DIDAIhub: Cloud Computing
This course aims to enhance participants’ competencies in understanding cloud computing fundamentals, navigating major cloud providers, cloud storage management, ensuring
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DIDAIhub: Ecosystem services
By the end of this mini MOOC, student will understand the concept, value, and social and environmental significance of ecosystem
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DIDAIhub: Sustainable development
The student is able to comprehend information about sustainable development and has the ability to apply the concepts of sustainable development for
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DIDAIhub: Basic research information of climate change
This Mini-MOOC is relevant information for communicating with local and regional planners of civil servants and the general public as well
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DIDAIhub: Getting started with QGIS
QGIS is one of the most used desktop software for geospatial data management, analysis and visualisation. This entity provides the
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DIDAIhub: Field data collection with QField
The objective of this course is to learn the key elements on research and data collection planning. You will be
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DIDAIhub: Collect Earth Online (CEO) tool and survey design – basic step
Implementing land cover/land use (LCLU) classification based on Earth observation data and ML/AI classifiers needs a substantial amount of LCLU
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DIDAIhub: Satellite image classification using ML in Google Earth Engine
This course introduces students to the Google Earth Engine (GEE) cloud computing platform, focusing on accessing and preprocessing Earth Observation
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DIDAIhub: Land cover/land use change detection with Google Earth Engine
The goal of this nugget is to introduce you to different methods and techniques for detecting and analysing LCLU changes
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DIDAIhub: Citizen Science Data Quality Assessment for Earth Observation
This module introduces students to citizen science data for Earth Observation, focusing on handling crowdsourced land cover and land use
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DIDAIhub: SAR image analysis in GEE
Learning outcomes include understanding SAR remote sensing technology and using Sentinel 1 SAR images for built-up area mapping.
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DIDAIhub: Processing large raster images in GDAL
This mini-MOOC provides an overview of different phases of the data analysis pipeline using Python and its data analysis ecosystem
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DIDAIhub: Geospatial data management in postgres/postgis databases
This mini-MOOC focuses on competencies in adding, organizing, querying, retrieving, and combining data, and assessing data consistency with the help
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UTU Master’s students visiting Sitowise
A group of master’s students and a few members of staff from the University of Turku Geography department paid a
UTU Master’s students visiting Sitowise Read More »
Webinar series 23.5.2024 – Geospatial Data Quality
Time: 23.5.2024 @9-10am (EEST) Topic: Geospatial Data Quality Meeting recording: Added soon!
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UDSM: Coming up with an umbrella challenge
The motivation behind the decision for the two umbrella challenges for two MCL campaigns conducted in 2022 and 2023 –
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SUA: Geospatial empowerment with MCL training
At Sokoine University of Agriculture (SUA), students prepared for the Multi-Competence Learning (MCL) Challenge with a week of intensive training
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