Although the organisation of a conference takes a lot of time over the previous months, last minute changes do happen from time to time. Again, AGILE has proven to be resilient enough to adapt quickly to unexpected situations. In other words, a panel on cybercartography appeared out of the blue to replace a keynote speaker during the AGILE 2022 conference held in Vilnius (Lithuania). Marinos Kavouras, Sabine Timpf, and Mike Gould kindly accepted to be panellists and talked about cutting-edge technologies and challenges on the new wave of cybercartography from an academic and industrial perspective.

A couple of papers presented at AGILE 2022 conference were co-authored by GEOTEC members (marked in bold below). The first AGILE paper is a multi-author collaboration because it stems directly from the EO4GEO research project. Rob Lemmens presented the main outputs of the EO4GEO project, the GI/EO Body of Knowledge (BoK) and associated tools, and then focused on the AI cluster as part of the BoK.

Rob Lemmens, Florian Albrecht, Stefan Lang, Sven Casteleyn, Martyna Stelmaszczuk-Górska, Marc Olijslagers, Mariana Belgiu, Carlos Granell, Ellen-Wien Augustijn, Carsten Pathe, Eva-Maria Missoni-Steinbacher and Aida Monfort Muriach. Updating and using the EO4GEO Body of Knowledge for (AI) concept annotation, AGILE GIScience Ser., 3, 44, 2022.

The AGILE paper above is connected with another paper presented the week before at the ISPRS 2022 Congress, held in Nice (France), where Rob again presented in detail the process to integrate AI related concepts into the BoK.

Rob Lemmens, Stefan Lang, Florian Albrecht, Ellen-Wien Augustijn, Carlos Granell, Marc Olijslagers, Carsten Pathe, Clémence Dubois, Martyna Stelmaszczuk-Górska. Integrating concepts of artificial intelligence in the EO4GEO Body of Knowledge. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLIII-B4-2022, pp. 53–59, 2022.

The second AGILE paper was led by Ditsuhi as part of her PhD thesis on machine learning applied to air pollution. She presented the exploratory analysis and feature selection methods for improving the prediction of Nitrogen Dioxide in the city of Madrid.

Ditsuhi Iskandaryan, Silvana Di Sabatino, Francisco Ramos, and Sergio Trilles. Exploratory Analysis and Feature Selection for the Prediction of Nitrogen Dioxide, AGILE GIScience Ser., 3, 6, 2022.