Vol-3343
urn:nbn:de:0074-3343-0

Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

MACLEAN 2022
MAChine Learning for EArth ObservatioN 2022

Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop
co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2022)

Grenoble, France, September 18-22, 2022.

Edited by

Thomas Corpetti *
Dino Ienco
Roberto Interdonato *
Minh-Tan Pham
Sébastien Lefèvre *

* CNRS, LETG-Rennes COSTEL UMR 6554 CNRS, Rennes, France
** INRAE, UMR Tetis, Montpellier, France
*** CIRAD, UMR Tetis, Montpellier, France
**** Univ. Bretagne-Sud, UMR 6074, IRISA, Vannes, France
***** Univ. Bretagne-Sud, UMR 6074, IRISA, Vannes, France

Table of Contents

Preface
Summary: There were 10 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume, 5 as regular papers and 1 as short paper.

Session 1

Statistics-Free Interpolation of Ocean Observations with Deep Spatio-Temporal Prior (short paper)
Arthur Filoche, Theo Archambault, Anastase Charantonis, Dominique Béréziat
Multimodal Approach to Early Detection of Harmful Algal Blooms
Onatkut Dagtekin, Nina Dethlefs
Graph Attention Transformer for Unsupervised Multivariate Time Series Anomaly Detection
Tzu-Hsuan Hsu, Yu-Chee Tseng, Jen-Jee Chen

Session 2

Vision Transformers for Burned Area Delineation
Daniele Rege Cambrin, Luca Colomba, Paolo Garza
AI for Air Quality: Leveraging Data Fusion for Deep Downscaling of Atmospheric Pollutants
Giannis Ashiotis, Evgenios Tsigkanos, Theodoros Christoudias, Mihalis A. Nicolaou
DeepSolar Tracker: Towards Unsupervised Assessment with Open-Source Data of the Accuracy of Deep Learning-Based Distributed PV Mapping
Gabriel Kasmi, Dubus Laurent, Yves-Marie Saint-Drenan, Philippe Blanc

2023-01-26: submitted by Roberto Interdonato, metadata incl. bibliographic data published under Creative Commons CC0
2023-02-15: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|