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IJGI Webinar | The Rise of Artificial Intelligence for Space Applications

24 Feb 2022, 13:30 (CET)

Artificial Intelligence, Space Applications, Geoinformation
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Welcome from the Chairs

2nd IJGI Webinar

The Rise of Artificial Intelligence for Space Applications

The webinar is structured as a panel where the chair, Prof. Dr. Maria A Brovelli, interviews researchers of the ESA Φ-lab about AI for Earth Observation (AI4EO), to discover with them the most innovative ideas and transformative technologies.

While today the new boost of AI4EO is mainly related to Computer Vision applied to high-resolution satellite imagery, there are many other areas for Earth Science, prediction and big data analytics that could benefit from AI. In particular, Deep Learning is pushing AI to new levels beyond human performance.

This panel will give an overview of the current successes and challenges of AI for Space Applications and present a few methodological use-cases which will lead to impactful Earth observation applications, from self-supervised learning to neuromorphic learning.

Date: 24 February 2022


Time: 1:30pm CET | 7:30am EST | 8:30pm CST Asia

Webinar ID: 826 0389 3399

Webinar Secretariat: ijgi.webinar@mdpi.com

Chair

Department of Civil and Environmental Engineering, Politecnico di Milano, Italy

DETAILS
Bio
Professor of GIS at the Politecnico di Milano (PoliMI), member of the School of Doctoral Studies in Data Science at “Roma La Sapienza” University. She was the Head of the Geomatics Laboratory of PoliMI (1997- 2011) and the Vice-Rector of PoliMI for the Como Campus (2011-2016). She is the chair of ISPRS WG IV/4 “Collaborative crowdsourced cloud mapping (C3M)”; former member of the ESA ACEO (Advisory Committee of Earth Observation); co-chair of the United Nations Open GIS Initiative, Chair of the UN-GGIM (Global Geospatial Information Management) Academic Network, mentor of the PoliMI Chapter of YouthMappers (PoliMappers). Moreover she is the Associate Editor of ISPRS International Journal of Geo-Information responsible for the area: Geospatial Artificial Intelligence.

Invited Speakers

ESA Φ-lab, ESRIN, Italy

DETAILS
Bio
He is heading the Φ-lab Explore Office at the European Space Agency in ESRIN (Frascati, Italy), aiming to connect people, ideas & digital technologies to help shape the future of Earth Observation. He spent 20+ years working in the field of environmental and ocean modelling, weather risk management and remote sensing. He has a degree in Mechanical Engineering and M.Sc from ULiège (Belgium), a Ph.D. in Oceanography from the Univ. of Louvain (Belgium), and a Management degree from the Univ. of Reading Business School (UK).

ESA Φ-lab, ESRIN, Italy,
ECMWF,
London School of Hygiene & Tropical Medicine (LSHTM), UK.

DETAILS
Bio
Dr Schneider is a Geospatial Data Scientist focused on developing AI4EO technologies for public health applications, leading projects in the fields of infectious diseases modelling and reconstruction of human exposure to environmental stressors (temperature and air pollution). She collaborates with world-leading universities, industrial partners, and NGOs to introduce the benefits of satellite technologies into public health, unlocking and ensuring the generation of global impact.

University of Sannio, Benevento,
ESA Φ-lab, ESRIN, Italy

DETAILS
Bio
Alessandro Sebastianelli graduated with laude in Electronic Engineering for Automation and Telecommunications at the University of Sannio in 2019. He is enrolled in the Ph.D. program with University of Sannio, co-advised by Prof. Silvia Ullo and Dr. Pierre-Philippe Mathieu, and his research topics mainly focus on Remote Sensing and Satellite data analysis, Artificial Intelligence techniques for Earth Observation with classical and quantum computing. He has co-authored several papers in reputed journals and conferences in the field of Remote Sensing. He has been a visiting researcher at -lab in European Space Research Institute (ESRIN) of the European Space Agency (ESA), in Frascati, and still collaborates with the -lab on topics related to deep learning applied to Earth Observation. He has won one of the three prizes for the GRS 29-Italy 2020 award as best master thesis in Geoscience and Remote Sensing. He has won an ESA OSIP proposal in August 2020 presented with his Ph.D. Supervisor, Prof. Silvia L. Ullo.

ESA Φ-lab, ESRIN,
Agenzia Spaziale Italiana, Italy

DETAILS
Bio
Federico Serva holds a MSc in Physics from the University of Rome Tor Vergata and a PhD in Environmental Sciences at the University of Naples Parthenope. Since his PhD he has been working with climate model and EO data for model evaluation and process studies. He has been a postdoc at the Italian National Research Council, collaborating in Copernicus Climate Change Service activities. He is a joint postdoc with the Italian Space Agency to work on the retrieval of parameters from hyperspectral imaging and for studying extreme events using different data sources.

ESA Φ-lab, ESRIN, Italy

DETAILS
Bio
Gabriele Meoni received his master’s degree in electrical engineering in 2016, and his Ph.D. in 2020 in information engineering from the University of Pisa, Pisa PI, Italy. During his PhD, he participated in the European Space Agency (ESA) REXUS project as the responsible for electronics in the U-PHOS team and was a visiting researcher in the European Space Research and Technology Centre. Through these experiences, he has developed expertise in digital and embedded systems design, digital signal processing and artificial intelligence. Since September 2020, he has been a researcher at the European Space Agency, from 09/2020 to 08/2021 with the Advanced Concepts Team, and currently with Φ-lab. His research interests include edge computing, artificial intelligence, neuromorphic computing, and cognitive computing in space.

ESA Φ-lab, ESRIN, Italy

DETAILS
Bio
ESA Research Fellow at ESRIN Φ-lab, Andrzej Kucik received M.A. (Hons) degree in Mathematics from the University of Aberdeen in 2013, Ph.D. in Mathematics from the University of Leeds in 2017, and M.Phil. in Computer Science from the University of Manchester in 2020. Before joining Φ-lab, he was working as a research scientist at mindtrace.ai, a Manchester-based neuromorphic AI company. Currently, his research revolves around adapting the neuromorphic computing paradigm to Earth observation problems, as well as applying deep learning methods to cryosphere data.

ESA Φ-lab, ESRIN, Italy

DETAILS
Bio
Bertrand Le Saux (Ms. Eng. 1999, MSc. 1999 INP Grenoble, PhD 2003 Univ. Versailles / Inria, Dr. Habil. 2019 Univ. Paris-Saclay) is a scientist with the European Space Agency ESRIN/Φ-lab, in Frascati (IT). He is working on data-driven techniques for visual understanding, with a background in machine learning and computer vision. He's interested in tackling practical problems that arise in Earth observation, to bring solutions to current environmental and societal challenges. He has been a researcher at CNR/ISTI Pisa (IT), Univ. of Bern (CH), ENS Cachan (FR) and ONERA (FR). He was co-chair [2015-2017] and chair [2017-2019] for the IEEE GRSS technical committee on image analysis and data fusion (IADF TC). He is currently an associate editor of the Geoscience and Remote Sensing Letters. He is also a co-organiser of the CVPR / EarthVision workshop series.

Webinar Content

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Program

Speaker/Presentation

Time in CET

Introduction

Prof. Dr. Maria A Brovelli

1:30-1:35pm

Panel Discussion

Dr. Pierre-Philippe Mathieu, Dr. Rochelle Schneider, Mr. Alessandro Sebastianelli, Dr. Federico Serva, Dr. Gabriele Meoni, Dr. Andrzej Kucik, and Dr. Bertrand Le Saux

1:35-2:35pm

Q&A Session from the audience

2:35-2:55pm

Closing of Webinar

Prof. Dr. Maria A Brovelli

2:55-3:00pm

Relevant SI

Artificial Intelligence for Multisource Geospatial Information
Guest Editors: Dr. Gloria Bordogna & Dr. Cristiano Fugazza
Deadline for manuscript submissions: closed (31 January 2022)

Upscaling AI Solutions for Large Scale Mapping Applications
Guest Editors: Prof. Dr. Fabio Remondino, Prof. Dr. Joep Crompvoets & Prof. Dr. Norbert Haala
Deadline for manuscript submissions: 30 June 2022

Sponsors and Partners

Organizers

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