New publication: Deep Learning methods for daily wildfire danger forecasting
DeepCube at ESA Φ-Week 2021: hybrid modeling and explainable AI at scale
New publication: Going self-supervised on InSAR data for volcanic unrest detection
New blog post: Data, the key to sustainable tourism
DeepCube Explainable AI pipelines for big Copernicus data
Welcome to DeepCube – a Horizon 2020 Space project that will unlock the potential of big Copernicus data with Artificial Intelligence and Semantic Web technologies, with the objective to address problems of high environmental and societal impact.
The GEO Health Community of Practice and #EO4Health initiative are organizing a Special Edition focused on AfriGEO🌍
http://geohealthcop.org/workshops/2022/3/29/telecon-afrigeo
Our partner @isp_uv_es of @UV_EG will present DeepCube Showcase "Climate-induced Human Displacement in Somalia" on April 5🗓️ Stay tuned!
On Wednesday 30 March from 12.15 to 16.00 CEST, the @EU_Commission is organising a public online event for the launch of the #DestinationEarth initiative.
@ECMWF, @eumetsat and @esa will be there!
Registration is open (and free 😆): https://digital-strategy.ec.europa.eu/en/events/save-date-destination-earth-launch-event
#DigitalEU
🗓️Coming soon! Public online event to launch #DestinationEarth - the ambitious initiative that inspired DeepCube🌍
Stay tuned for the agenda and registration details https://digital-strategy.ec.europa.eu/en/events/save-date-destination-earth-launch-event
Save the date 📢
On Wednesday 30 March, join an online event to launch the Destination Earth initiative https://digital-strategy.ec.europa.eu/en/events/save-date-destination-earth-launch-event
BLOG
A computer vision journey on volcanic unrest detection
Predicting natural disasters from space. By Nikolaos Ioannis Bountos, AI Researcher, Institute for Astronomy Astrophysics Space Applications & Remote Sensing, National Observatory of Athens
The value of social media data in AI and climate change research
In DeepCube, publicly available social media data will be used to enhance the intensive Deep Learning (DL) models, which typically use only EO data. By Eleni Kamateri, Ioannis Tsampoulatidis, Stefanos Vrochidis, INFALIA & Aristeidis Bozas, Stelios Andreadis, Ilias Gialampoukidis, CERTH
Data, the key to sustainable tourism
At Murmuration, we see DeepCube as a first seed to plant a technological strategy based on Artificial Intelligence and the big Earth Observation data that will eventually germinate a new tourism industry based on the concept of sustainability. By Fabien Castel, Cathy Sahuc and Alejandro Diaz, Murmuration.
DeepCube and the grand scheme of things
DeepCube as a showcase of the Digital Twin Earth potential. By Ioannis Papoutsis, DeepCube Coordinator - Associate Researcher, Institute for Astronomy Astrophysics Space Applications & Remote Sensing, National Observatory of Athens.