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 Ξ¦-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.
Our OrionLab researcher @iprapas has been selected to contribute to the prestigious @FDL_AI. For the past 3 weeks, Ioannis has been collaborating with brilliant other scientists on self-supervised learning on SAR data for change detection! Looking forward to the outcomes!
2Countdown to the 4th DeepCube Plenary Meeting which will take place in sunny Athens, Greece! π¬π·
π 6-7 July 2022
A little preview for our partners π
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Enjoy your Sunday with this beautiful view of the Aegean Sea captured by #Copernicus #Sentinel3 πͺπΊπ°οΈ yesterday 25 June
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DeepCube at @CVPR 2022 EarthVision workshop π€©
"Hephaestus: A large scale multitask dataset towards InSAR understanding", Nikolaos I Bountos; Ioannis Papoutsis; Dimitrios Michail; Andreas Karavias; Panagiotis Elias; Isaak Parcharidis
https://openaccess.thecvf.com/content/CVPR2022W/EarthVision/papers/Bountos_Hephaestus_A_Large_Scale_Multitask_Dataset_Towards_InSAR_Understanding_CVPRW_2022_paper.pdf
BLOG
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
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.