PSI Point Cloud Reliability Prediction using Graph Neural Networks
DeepCube at ESA Living Planet Symposium 2022, 23-27 May in Bonn
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.
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✍ Authors: Nikolaos Ioannis Bountos @NikosGiannisB, Ioannis Papoutsis @yannispapoutsis, Dimitrios Michail @TheDMichail and Nantheera Anantrasirichai
🔗DOI: https://doi.org/10.1109/LGRS.2021.3104506
#earthobservation #remotesensing #ai #Volcanoeruption #volcano
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Learn how #SAR plays a crucial role in identifying #Fagradalsfjall volcanic unrest in #Iceland !
🆕 GRSS article of the week
📕Journal: #IEEE Geoscience and Remote Sensing Letters
📑Title: Self-Supervised Contrastive Learning for Volcanic Unrest Detection
📰 4th DeepCube Newsletter is out!
👉 https://deepcube-h2020.eu/wp-content/uploads/2023/10/DeepCube-newsletter-issue-4.pdf
Read about our project meeting in Geneva & participation in the ITU AI for Good Global Summit events, IGARSS 2023, NASA Space Apps Challenge in Thessaloniki and more!
Newsletters archive ⬇️
https://deepcube-h2020.eu/newsletters/
🔴Live from the #CEMS2023 Annual Conference on #DRRDay
@yannispapoutsis from the National Observatory of #Athens🇬🇷 discussed research on early warning and forecasting of wildfire danger🔥 and emphasised on the increasing role of #ArtificialIntelligence #AI
Ioannis Papoutsis at the @CopernicusEMS Annual Conference 2023 presenting our work on wildfire danger forecasting at different spatio-temporal scales 🔥
Live streaming ⬇️
https://webcast.ec.europa.eu/integrating-disaster-risk-data-in-policy-the-copernicus-emergency-management-service-annual-conference
BLOG
EarthNet 2023: Revolutionizing Vegetation Greenness Forecasting for Africa’s Ecosystems
EarthNet 2023: Revolutionizing Vegetation Greenness Forecasting for Africa's Ecosystems. By By Christian Requena-Mesa, Claire Robin, Vitus Benson, Lazaro Alonso, Nuno Carvalhais, Department Biogeochemical Integration, Max Planck Institute for Biogeochemistry.
The semantic data cube system Plato
The semantic data cube system Plato. By Anastasios Mantas, University of Athens.
Pluto: A global volcanic unrest early warning system
Pluto: A volcanic unrest early warning system bridging artificial intelligence and interferometry. By Nikolaos Ioannis Bountos, AI Researcher, Institute for Astronomy Astrophysics Space Applications & Remote Sensing, National Observatory of Athens
PSI Point Cloud Reliability Prediction using Graph Neural Networks: Optimizing the inference pipeline
PSI Point Cloud Reliability Prediction using Graph Neural Networks: Optimizing the inference pipeline. By Federico Ricciuti, Machine Learning Specialist, Tre Altamira.
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