Pinned Tweet
🔥Wildfire Danger Prediction and Understanding with Deep Learning
Deep Learning models to predict Wildfires and xAI to understand what they have learned.
📜Paper: doi.org/10.1029/2022GL099368 accepted in @theAGU GRL
🧊Datacube: zenodo.org/record/6475592
💻Code: github.com/Orion-AI-Lab/wild…
Ioannis Prapas retweeted
🚨 Live at #LPS25 in Room 0.11/0.12!
NTUA & TUM in action, leading a tutorial on Foundation Models (FM) for EO — practical AI for land cover mapping, object detection & more 🌍🛰️
Interested in FM?👉 thinking-earth.eu/foundation…
@ThinkingEarthEU @NikosGiannisB
#RemoteSensing #AI
Ioannis Prapas retweeted
Deep search and satellite data is an interesting mix 🔥🛰️
The demo shows the AI Reporter doing deep investigation into the Palisades fire early in 2025.
In ~2 minutes you get a concise report, based on deep search and satellite data.
#geoAI #AI4EO #PalisadesFire #AgenticAI
Ioannis Prapas retweeted
🚀 IGARSS kicks off this Sunday, and our lab will be there with an amazing tutorial! 🧠💻
Join @yannispapoutsis, @iprapas, @skondylatos, @NikosGiannisB, and Maria for a deep dive into AI and natural hazards.
Info below⬇️
#IGARSS2024 #AI #Wildfires #Floods #DataCubes
Ioannis Prapas retweeted
Join the Scaling Science workshop at #IGARSS2024 to master scaling geospatial data & scientific research w/ open-source tools! Ideal for scientists, researchers, & practitioners looking to leverage cloud computing, machine learning, & big data analytics. 2024.ieeeigarss.org/tie_even…
𝙎𝙘𝙖𝙡𝙞𝙣𝙜 𝙎𝙘𝙞𝙚𝙣𝙘𝙚: 𝘼 𝙜𝙪𝙞𝙙𝙚 𝙤𝙣 𝙨𝙘𝙞𝙚𝙣𝙘𝙚 𝙖𝙥𝙥𝙡𝙞𝙚𝙙 𝙞𝙣 𝙞𝙣𝙙𝙪𝙨𝙩𝙧𝙮
Empower your research w/ open, scalable practices. Embrace transparency & collaboration to drive greater impact. 🧵
ds.io/scaling-science
@IEEE_GRSS
#OpenScience
1/6
Ioannis Prapas retweeted
Excited to share that SPOT is accepted to #CVPR2024.
SPOT advances unsupervised object-centric learning with attention-based self-training & patch-order permutation, achieving state-of-the-art results.
- Paper: arxiv.org/abs/2312.00648
- Code: github.com/gkakogeorgiou/spo…
Ioannis Prapas retweeted
Replying to @skondylatos
@skondylatos is in New Orleans @neuripsconf, presenting the Mesogeos dataset, a large-scale dataset for wildfire modeling in the Mediterranean. Don't miss his oral presentation at 15.30 local time #neurips orion-ai-lab.github.io/publi… #neurips
Ioannis Prapas retweeted
🌍 🚨📜🤖👨👩👧👧
Machine learning helps us unravelling the climate interactions between socioeconomic context and natural hazards on human population displacement
We study The Displacement Puzzle with #AI!
Read it @NatureComms:
nature.com/articles/s41467-0…
Thread🔄
Ioannis Prapas retweeted
[2/2]
✍ Authors: Nikolaos Ioannis Bountos @NikosGiannisB, Ioannis Papoutsis @yannispapoutsis, Dimitrios Michail @TheDMichail and Nantheera Anantrasirichai
🔗DOI: doi.org/10.1109/LGRS.2021.31…
#earthobservation #remotesensing #ai #Volcanoeruption #volcano
Ioannis Prapas retweeted
[1/2]
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
Ioannis Prapas retweeted
TeleViT "Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting" won the Best Paper Award 🏆 at the Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop of @ICCVConference
#ICCV2023 🇫🇷
Ioannis Prapas retweeted
Orion Lab's @iprapas at @ICCVConference in Paris 🇫🇷
🗓️Spotlight Talk today at 15:45 CET + Poster Session
👉 TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting #ICCV2023
hadr.ai/iccv23/iccv-schedule…
Presenting tomorrow 3/10 at 15:45 TeleViT in AI+HADR #ICCV2023 @ICCVConference Paris. Join us also for the poster session right after.
Full schedule: hadr.ai/iccv23/iccv-schedule…
Presenting tomorrow 3/10 at 15:45 TeleViT in AI+HADR #ICCV2023 @ICCVConference Paris. Join us also for the poster session right after.
Full schedule: hadr.ai/iccv23/iccv-schedule…
🧵 (1/6)
🔥 "TeleViT: Teleconnection-driven Transformers for Subseasonal to Seasonal Wildfire Forecasting" to be presented at the ICCV 2023 AI+HADR workshop.
💻Code github.com/Orion-AI-Lab/tele…
🌐Website orion-ai-lab.github.io/telev…
📜Paper arxiv.org/abs/2306.10940
Ioannis Prapas retweeted
📢 Join DeepCube, @CALLISTO_H2020 and @EnvisionH2020 at the NASA International Space Apps Challenge in Thessaloniki!
spaceappschallenge.org/
DeepCube will participate in the #hackathon with a challenge on #wildfire danger forecasting 👩💻👨💻
More details coming soon!
Replying to @CALLISTO_H2020
@CALLISTO_H2020 along with @EnvisionH2020 and @DeepCube_H2020 , is organizing a #hackathon during the @NASA Space Apps Challenge on October 6th at @okthess 🤯
Wait no more and register now 👉tinyurl.com/mrh3u6yv
#NASA #EU #CALLISTO #ENVISION #DeepCube #registration
🧵 (1/6)
🔥 "TeleViT: Teleconnection-driven Transformers for Subseasonal to Seasonal Wildfire Forecasting" to be presented at the ICCV 2023 AI+HADR workshop.
💻Code github.com/Orion-AI-Lab/tele…
🌐Website orion-ai-lab.github.io/telev…
📜Paper arxiv.org/abs/2306.10940
Great collaboration with @NikosGiannisB , @skondylatos, Dimitrios Michail, @isp_uv_es, @yannispapoutsis
This is an output of the ESA-funded project SeasFire github.com/seasfire. The project is implemented by @OrionLab_NOA , @harokopio_ and @MPI_BGC . #esa #philab @blesa_ux






















