Ioannis Prapas

ML Researcher, Earth Observation 🛰️ Wildfire Forecasting 🔥

[Ioannis Prapas @iprapas]

🔥Wildfire Danger Prediction and Understanding with Deep Learning
Deep Learning models to predict Wildfires and xAI to understand what they have learned.
📜Paper: https://t.co/jxMWEav7im accepted in @theAGU GRL
🧊Datacube: https://t.co/4FDmshHZH6
💻Code: https://t.co/xtezrxnSUM

[OrionLab @OrionLab_NOA]

🚨 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?👉 https://t.co/5sApzL4WgN

@ThinkingEarthEU @NikosGiannisB
#RemoteSensing #AI

[manteo.ai @ManteoAI]

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

[OrionLab @OrionLab_NOA]

🚀 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

[developmentseed @developmentseed]

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. https://t.co/Yj55dM8KU8

[Ioannis Prapas @iprapas]

@vitusbenson @EarthNetTeam @ClaireRobin01 @crequena2 @LazarusAlon @Zhihan_Gao @Reichstein_BGC @Ellis_Unit_Jena Great work, congratulations!

[Ioannis Kakogeorgiou @IoannisKakogeo1]

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: https://t.co/kuDJVi8aQt
- Code: https://t.co/qDOpW4mf92

[OrionLab @OrionLab_NOA]

@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 https://t.co/3XBktkMjbn #neurips

[ISP • Image and Signal Processing @isp_uv_es]

🌍 🚨📜🤖👨‍👩‍👧‍👧

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:

https://t.co/OrvHWanG45

Thread🔄

[IEEE Geoscience and Remote Sensing Society @IEEE_GRSS]

[2/2]
✍ Authors: Nikolaos Ioannis Bountos @NikosGiannisB, Ioannis Papoutsis @yannispapoutsis, Dimitrios Michail @TheDMichail and Nantheera Anantrasirichai
🔗DOI: https://t.co/vxgyig9ZIA

#earthobservation #remotesensing #ai #Volcanoeruption #volcano

[IEEE Geoscience and Remote Sensing Society @IEEE_GRSS]

[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

[OrionLab @OrionLab_NOA]

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 🇫🇷

[OrionLab @OrionLab_NOA]

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

https://t.co/6whDAYtYsw

[Ioannis Prapas @iprapas]

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: https://t.co/00doY1QAwJ

[Ioannis Prapas @iprapas]

🧵 (1/6)
🔥 "TeleViT: Teleconnection-driven Transformers for Subseasonal to Seasonal Wildfire Forecasting" to be presented at the ICCV 2023 AI+HADR workshop.
💻Code https://t.co/k6LWaPTxST
🌐Website https://t.co/7LlKb4q60O
📜Paper https://t.co/WET6m9Pffk

[DeepCube H2020 @DeepCube_H2020]

📢 Join DeepCube, @CALLISTO_H2020 and @EnvisionH2020 at the NASA International Space Apps Challenge in Thessaloniki!

https://t.co/VNRORuWpd1

DeepCube will participate in the #hackathon with a challenge on #wildfire danger forecasting 👩‍💻👨‍💻

More details coming soon!

[Ioannis Prapas @iprapas]

This is an output of the ESA-funded project SeasFire https://t.co/2B0n7jOccl. The project is implemented by @OrionLab_NOA , @harokopio_ and @MPI_BGC . #esa #philab @blesa_ux

[Ioannis Prapas @iprapas]

🧵 (1/6)
🔥 "TeleViT: Teleconnection-driven Transformers for Subseasonal to Seasonal Wildfire Forecasting" to be presented at the ICCV 2023 AI+HADR workshop.
💻Code https://t.co/k6LWaPTxST
🌐Website https://t.co/7LlKb4q60O
📜Paper https://t.co/WET6m9Pffk

[Ioannis Prapas @iprapas]

Great collaboration with @NikosGiannisB , @skondylatos, Dimitrios Michail, @isp_uv_es, @yannispapoutsis