Big Geodata Talks

Topic
Become a high-skilled geospatial professional

Big Geodata Talks is a technical series of talks on big geodata technology, especially on available tools and platforms.

You can access presentation slides of the talks through our ITC Big Geodata Talks community page on Zenodo.

Recordings of the talks are available on our Youtube Channel.

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2024
Dec 2024
Time Series Machine Learning Predictions: Moving from modeling to production environment

Dr. Leandro Leal Parente shares lessons learned and the computational infrastructure implemented by OpenGeoHub within the context of Open-Earth-Monitor cyberinfrastructure (OEMC) and Global Pasture Watch projects for producing time-series spatial predictions.

Dec 2024
Nov 2024
Agro-informatics at Scale: Revolutionising Food and Agriculture through Data-Driven Insight

Karl Robert Mortero introduces FAO's Agri-Informatics platform, which provides a unified environment for accessing, managing, visualising and analysing diverse datasets to tackle critical global challenges like improving nutrition, agricultural productivity and sustainability, rural livelihoods, and global food security.

Nov 2024
May 2024
High-performance Spatial Data Management and Analysis with DuckDB

Max Gabrielsson introduces DuckDB and the DuckDB Spatial Extension, walk through some of the internals that make DuckDB special as well as some of the challenges and design decisions encountered when adapting it for geospatial processing. 

May 2024
Apr 2024
Unleash Your Data for HPC & AI with the WEKA Data Platform

The WEKA Data Platform (WEKA) is a high performance, software-defined, parallel file system that delivers unsurpassed performance density. This talk provides an introduction to WEKA, how the WEKA Data Platform works and how it's deployed in a production environment.

Apr 2024
Mar 2024
Smart neural network optimization

Running an AI model is an expensive operation. You have invested a lot of resources and time building your model. Now it turns out keeping the lights on might be even more costly. During this talk Steven van Blijderveen and Matthijs Plat from AIminify will talk about how to prune and optimize Convolutional Neural Networks, so that they become more cost and energy efficient.

Mar 2024
Feb 2024
Mission 10-X: a holistic, collaborative approach towards more energy-efficient computing

Energy efficient computing requires a holistic approach along the complete 'computing stack', from basic materials and device concepts to software and application-specific aspects and societal issues. In this talk Prof. Dr. Hans presents large scale, multidisciplinary consortia established for this purpose, such as Mission 10-x.

Feb 2024
2022
Oct 2022
EO4UA - Earth Observation for Ukraine

In this talk Dr. Jan Musial and Dr. Jędrzej S. Bojanowski present the current status of the EO4UA initiative, the unique products generated by the members and end-users, and what has been learnt so far about the environmental damages in Ukraine caused by the Russian invasion.

Oct 2022
2021
Nov 2021
Connecting to Big Earth Observation Cloud Backends in a Simple and Unified Way with openEO

In this talk Prof. Pebesma speaks about the OpenEO project, which provides an open application programming interface (API) that connects clients like R, Python and JavaScript to big Earth Observation cloud back-ends in a simple and unified way.

Nov 2021
Oct 2021
The Planetary Computer: Putting Global-Scale Geospatial Data to Work for Conservation and Sustainability

This talk by Dan Morris (Principal Scientist, Microsoft) highlighted features and capabilities of Microsoft's Planetary Computer and showcased selected applications.

Oct 2021
Jul 2021
Working Together with SURF for Earth Observation

In this presentation an overview of recent developments on SURF infrastructure and services available to researchers will be given, with a focus on Earth Observation (EO), and researcher needs and challenges will be discussed.

Jul 2021
Jun 2021
Capacity Building and Knowledge Sharing through NASA SERVIR's TensorFlow Working Group

This talk highlighted capacity-building efforts, collaboration opportunities, and NASA SERVIR's vision for applied Machine Learning service development.

Jun 2021