Search Results for author: Ioannis Papoutsis

Found 10 papers, 8 papers with code

FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2

1 code implementation6 Nov 2023 Maria Sdraka, Alkinoos Dimakos, Alexandros Malounis, Zisoula Ntasiou, Konstantinos Karantzalos, Dimitrios Michail, Ioannis Papoutsis

We use FLOGA to provide a thorough comparison of multiple Machine Learning and Deep Learning algorithms for the automatic extraction of burnt areas, approached as a change detection task.

Change Detection

TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting

1 code implementation19 Jun 2023 Ioannis Prapas, Nikolaos Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis

To achieve such accurate long-term forecasts at a global scale, it is crucial to employ models that account for the Earth system's inherent spatio-temporal interactions, such as memory effects and teleconnections.


Deep Learning for Global Wildfire Forecasting

no code implementations1 Nov 2022 Ioannis Prapas, Akanksha Ahuja, Spyros Kondylatos, Ilektra Karasante, Eleanna Panagiotou, Lazaro Alonso, Charalampos Davalas, Dimitrios Michail, Nuno Carvalhais, Ioannis Papoutsis

We train a deep learning model, which treats global wildfire forecasting as an image segmentation task and skillfully predicts the presence of burned areas 8, 16, 32 and 64 days ahead of time.

Image Segmentation Semantic Segmentation

Hephaestus: A large scale multitask dataset towards InSAR understanding

1 code implementation20 Apr 2022 Nikolaos Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Andreas Karavias, Panagiotis Elias, Isaak Parcharidis

Synthetic Aperture Radar (SAR) data and Interferometric SAR (InSAR) products in particular, are one of the largest sources of Earth Observation data.

Image Quality Assessment Semantic Segmentation

A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning

1 code implementation2 Apr 2022 Dimitrios Sykas, Maria Sdraka, Dimitrios Zografakis, Ioannis Papoutsis

In this work we introduce Sen4AgriNet, a Sentinel-2 based time series multi country benchmark dataset, tailored for agricultural monitoring applications with Machine and Deep Learning.

Crop Classification Semantic Segmentation +1

Self-supervised Contrastive Learning for Volcanic Unrest Detection

1 code implementation8 Feb 2022 Nikolaos Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Nantheera Anantrasirichai

Ground deformation measured from Interferometric Synthetic Aperture Radar (InSAR) data is considered a sign of volcanic unrest, statistically linked to a volcanic eruption.

Contrastive Learning

Benchmarking and scaling of deep learning models for land cover image classification

1 code implementation18 Nov 2021 Ioannis Papoutsis, Nikolaos-Ioannis Bountos, Angelos Zavras, Dimitrios Michail, Christos Tryfonopoulos

In this work, we use the BigEarthNet Sentinel-2 dataset to benchmark for the first time different state-of-the-art DL models for the multi-label, multi-class LULC image classification problem, contributing with an exhaustive zoo of 60 trained models.

 Ranked #1 on Multi-Label Image Classification on BigEarthNet (official split metric)

Benchmarking Classification +2

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