MACLEAN Workshop
Machine Learning for Earth ObservationSeveral researchers from UMR TETIS are taking part in the organisation of the Workshop on MAChine LEArNing for Earth Observation (MACLEAN), to be held in Vilnius from 9 to 13 September. The vast amount of data currently being produced by modern Earth observation missions and surface measurements is raising new challenges for the scientific community in the fields of remote sensing and atmospheric modelling. Sensors are now offering (very) high spatial resolution images at revisit frequencies never before achieved, by providing different signals, for example multi-(hyper)spectral optical signals, radar data, LiDAR and digital surface models. On the other hand, atmospheric composition and processes are measured at the Earth's surface, using molecular-scale measurements with mass spectrometers, particle counters and more traditional meteorological instruments.
Modern machine learning techniques can be crucial for dealing with such heterogeneous, multi-scale and multimodal data. Among the methods receiving attention in this area are deep learning, domain adaptation, semi-supervised approach, time series analysis, active learning, explainable artificial intelligence, uncertainty quantification, and interactive model building and visualization. Although machine learning and
the development of ad hoc techniques are gaining in popularity, there is still a great need for interaction between experts in the field and researchers working on these innovative approaches.This workshop is intended as an international forum where researchers in the above-mentioned fields can meet to exchange ideas, debate and define short- and long-term research objectives around the exploitation and analysis of Earth observation and atmospheric data using machine learning techniques. The workshop aims to provide an overview of current research on machine learning for Earth observation data and other atmospheric measurements. On the other hand, the organisers hope to stimulate concrete discussions to pave the way for new machine learning frameworks specifically designed to handle the data concerned.
Cassio Fraga Dantas, Dino Ienco and Roberto Interdonato, all researchers at UMR TETIS, are actively involved in organising this international scientific event.
The workshop is being held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), which is taking place in Vilnius from 9 to 13 September 2024. The event is funded by the European Space Agency and the Association Française pour la Reconnaissance et l'Interprétation des Formes (AFRIF).
The workshop is being held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), which is taking place in Vilnius from 9 to 13 September 2024. The event is funded by the European Space Agency and the Association Française pour la Reconnaissance et l'Interprétation des Formes (AFRIF).
Photo credit: Space X
Photo credit: Vadim Lu
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