January 27th, 2022 
Daniela Lopez de Luise Sincerely Yours – Convener ICTIS 2022
January 26th, 2022 Daniela Lopez de Luise IEEE Latin America Transactions
Special Issue on AI for Sustainability
We are at the cusp of two massive historic trends intimately intermingled. On the one hand, our technological revolutions have increased our standards of living quality, including a longer lifespan and larger wealth. On the other hand, we are amid sustainability threats, including climate change and loss of biodiversity. The way our generation responds to the latter challenge using our considerable accumulated level of understanding will have a significant impact in generations to come.
Artificial Intelligence (AI) for sustainability has emerged as a powerful tool with substantial groundbreaking advances. It has opened countless avenues to improve the understanding of the underlying problems while supporting effective sound solutions. However, to take full advantage of the available science and technology, we need to increase their visibility to stimulate its widespread adoption. AI refers to the development of machine capabilities such as learning, reasoning, knowledge representation, planning, perception, problem-solving, and pattern recognition. Due to the potential for broad impact of these capabilities, it is imperative to support sustainability efforts to extend their adoption and promote awareness about their potential. In particular, we call for participation through articles addressing issues along the following lines: a) Applications of AI tackling climate change, addressing biodiversity loss, and considering human vulnerability; b) research describing the construction, implementation, evaluation, and how-to-do capabilities supporting sustainability; and c) making sure AI leaves a small impact as possible on sustainability.
The purpose of this Special Issue is to provide a forum for the researchers and practitioners related to the rapidly developing field of AI for sustainability to share their novel and original research on the topic. Therefore, we encourage the submission of the practitioners’ latest unpublished work on AI for sustainability. Of our particular interest are the developments from research groups in Latin America and elsewhere. The areas of interest include both theory and applications of AI on the following topics (they are not limited to):
Call for papers: December 13, 2021
Submissions Deadline: March 21, 2022
Notification of Acceptance: May 23, 2022
Final Manuscript Due: July 4, 2022
Publication Date: September 2022
Submission
Authors must submit all original manuscripts electronically through the system at https://latamt.ieeer9.org.
Original submissions could be written in English, Portuguese or Spanish and must not be currently under consideration for publication in other Journals nor be part of Conference proceedings.
Authors accepted papers or conditionally accepted papers of this issue will be asked to share their code according to the area of the paper. Further information about codeshare options as well as guidelines and submission information can be found at
https://latamt.ieeer9.org/index.php/transactions/about/submissions
Guest Editors
Joaquín Salas,
IPN
México
Genevieve Patterson
Climate Change AI
USA
Flavio Vidal
Universidade de Brasília
Brazil
Guest Editorial Board
January 26th, 2022 Daniela Lopez de Luise |
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January 25th, 2022 Daniela Lopez de Luise AIMS AND SCOPE
Earth Observation (EO)/Remote Sensing is an ever-growing field of investigation where computer vision, machine learning, and signal/image processing meet. The general objective of the domain is to provide large-scale, homogeneous information about processes occurring at the surface of the Earth exploiting data collected by airborne and spaceborne sensors. Earth Observation covers a broad range of tasks, ranging from detection to registration, data mining, multi-sensor, multi-resolution, multi-temporal, and multi-modality fusion, and regression, to name just a few. It is motivated by numerous applications such as location-based services, online mapping services, large-scale surveillance, 3D urban modeling, navigation systems, natural hazard forecast and response, climate change monitoring, virtual habitat modeling, etc. The sheer amount of data calls for highly automated scene interpretation workflows.
Earth Observation and in particular the analysis of spaceborne data directly connects to 34 indicators out of 40 (29 targets and 11 goals) of the Sustainable Development Goals defined by the United Nations. The aim of EarthVision to advance the state of the art in machine learning-based analysis of remote sensing data is thus of high relevance. It also connects to other immediate societal challenges such as monitoring of forest fires and other natural hazards, urban growth, deforestation, and climate change.
This workshop, held for its sixth edition at the CVPR 2022, aims at fostering collaboration between the computer vision and EO communities to, on the one hand, boost automated interpretation of EO data, and, on the other hand, raise awareness inside the computer vision and machine learning communities for this highly challenging and quickly evolving field of research with an extensive impact on human society, economy, industry, and the environment.
Submissions are invited from all areas of computer vision and image analysis relevant for, or applied to, environmental remote sensing. Topics of interest include, but are not limited to:
– Super-resolution in the spectral and spatial domain
– Hyperspectral and multispectral image processing
– 3D reconstruction from aerial optical and LiDAR acquisitions
– Feature extraction and learning from spatio-temporal data
– Semantic classification of UAV / aerial and satellite images and videos
– Deep learning tailored for large-scale Earth observation
– Domain adaptation, concept drift, and the detection of out-of-distribution data
– Self-, weakly, and unsupervised approaches for learning with spatial data
– Human-in-the-loop and active learning
– Multi-resolution, multi-temporal, multi-sensor, multi-modal processing
– Fusion of machine learning and physical models
– Explainable and interpretable machine learning in Earth Observation applications
– Applications for climate change, sustainable development goals, and geoscience
– Public benchmark datasets: Training data standards, testing & evaluation metrics, as well as open-source research and development.
IMPORTANT DATES
Full paper submission: March 9, 2022
Notification of acceptance: April 1, 2022
Camera-ready paper: April 8, 2022
Workshop (full day): June 19, 2022
SUBMISSION GUIDELINES
A complete paper should be submitted using the EarthVision templates provided on the workshop website. The paper length must not exceed 8 pages (excluding references) and formatting follows CVPR 2022 instructions. All manuscripts will be subject to a double-blind review process, i.e. authors must not identify themselves on the submitted papers.
Papers are to be submitted using the dedicated submission platform on the Workshop website (https://www.grss-ieee.org/earthvision2022/submission.html). By submitting a manuscript, the authors guarantee that it has not been previously published or accepted for publication in a substantially similar form. CVPR rules regarding plagiarism, double submission, etc. apply.
WORKSHOP ORGANIZERS
– Ronny Hänsch, German Aerospace Center, Germany
– Devis Tuia, EPFL, Switzerland
– Jan Dirk Wegner, University of Zurich & ETH Zurich, Switzerland
– Bertrand Le Saux, ESA/ESRIN, Italy
– Naoto Yokoya, Uni. of Tokyo & RIKEN, Japan
– Nathan Jacobs, Uni. of Kentucky, USA
– Fabio Pacifici, Maxar, USA
– Mariko Burgin, NASA JPL, USA
– Loïc Landrieu, IGN, France
– Charlotte Pelletier, UBS Vannes, France
CHALLENGE
EarthVision 2022 will again feature interesting challenges addressing modern problems of Remote Sensing and Earth Observation. Stay tuned for details!
SPONSORING
The event is co-organized by the Image Analysis and Data Fusion Technical Committee of the IEEE-GRSS, and it is sponsored by SpaceNet.
January 25th, 2022 Daniela Lopez de Luise Special Sessions for the 2022 ICL-GNSS conference (Tampere, Finland on June 7-9) can be proposed by January 28, 2022 by email to iclgnss@tuni.fi. They will be added to the paper submission system once approved by the organizers.
To propose a Special Session, send the proposed session title/topic, organizer(s) name, affiliation and email, a short paragraph on the rationale of the session, and the names and email addresses of five proposed (PhD level) reviewers for the papers submitted to the session.
Special Session papers will undergo similar reviews as any other papers submitted to the conference.
Regards,
Jari Nurmi (TAU)
Elena Simona Lohan (TAU)
ICL-GNSS 2022 General Co-Chairs
