| Vol-2766 urn:nbn:de:0074-2766-8 Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 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 2020
MAChine Learning for EArth ObservatioN Workshop 2020

### 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 2020)

### Virtual Conference, September 14-18, 2020.

Edited by

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

* CNRS, LETG-Rennes COSTEL UMR 6554 CNRS, Rennes, France
** IRSTEA, 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

Summary: There were 17 papers submitted for peer-review to this workshop. Out of these, 9 papers were accepted for this volume, 7 as regular papers and 2 as short papers.

### Session 1: Semi-Supervised and (Inter)active Learning

- Interactive Learning for Semantic Segmentation in Earth Observation
  Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux, Guy Le Besnerais
- Deep Active Learning in Remote Sensing for data efficient Change Detection
  Vit Ruzicka, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler
- On Auxiliary Losses for Semi-Supervised Semantic Segmentation
  Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sébastien Lefèvre

### Session 2: Physical event characterization

- Comparing Machine Learning Methods for Predicting Seismic P-wave Velocity on Global Scale
  Yousef Razeghi, Wilhelm Hasselbring, Christian Berndt, Ines Dumke
- Multi-modal deep learning models for ocean wind speed estimation
  Clémentin Boittiaux, Paul Nguyen Hong Duc, Nicolas Longépé, Sara Pensieri, Roberto Bozzano, Dorian Cazau
- Joint Learning for Cyclone Track Nowcasting
  Abhijit Mukherjee, Pabitra Mitra

### Session 3: Multi-spectral and Colorization

- Dual Color-Image Discriminators Adversarial Networks for Generating Artificial-SAR Colorized Images from SENTINEL-1 Images
  Youssef Mourchid, Marc Donias, Yannick Berthoumieu
- Tri-Band Assessment of Multi-Spectral Satellite Data for Flood Detection
  Pallavi Jain, Bianca Schoen-Phelan, Robert Ross
- Clustering Sargassum Mats from Earth Observation Data
  Estèle Glize, Marie-José Huguet, Gilles Tredan, Marc Lucas, Marion Sutton

2020-10-27: submitted by Roberto Interdonato, metadata incl. bibliographic data published under Creative Commons CC0
2020-12-09: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|