research
∙
06/19/2023
TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting
Wildfires are increasingly exacerbated as a result of climate change, ne...
share
research
∙
06/08/2023
Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean
We introduce Mesogeos, a large-scale multi-purpose dataset for wildfire ...
research
∙
11/01/2022
Deep Learning for Global Wildfire Forecasting
Climate change is expected to aggravate wildfire activity through the ex...
research
∙
04/20/2022
Hephaestus: A large scale multitask dataset towards InSAR understanding
Synthetic Aperture Radar (SAR) data and Interferometric SAR (InSAR) prod...
research
∙
04/02/2022
A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning
In this work we introduce Sen4AgriNet, a Sentinel-2 based time series mu...
research
∙
02/08/2022
Self-supervised Contrastive Learning for Volcanic Unrest Detection
Ground deformation measured from Interferometric Synthetic Aperture Rada...
research
∙
01/09/2022
Learning class prototypes from Synthetic InSAR with Vision Transformers
The detection of early signs of volcanic unrest preceding an eruption, i...
research
∙
11/18/2021
Efficient deep learning models for land cover image classification
The availability of the sheer volume of Copernicus Sentinel imagery has ...
research
∙
11/04/2021
