Diego Marcos is a tenure-track, junior professor at Inria Université Côte d'Azur in France, specializing in developing machine learning and computer vision methods to solve environmental and Earth observation problems. His research interests include creating more interpretable computer vision methods for species identification and building species distribution models using citizen science and Earth observation data. He holds a PhD from Wageningen University and an MSc in Computation Sciences and Engineering from EPFL in Switzerland.

Mail to: diego.marcos(at)inria.fr

Fabiana Di Ciaccio is an assistant professor (RTDa) at the Department of Civil and Environmental Engineering of the University of Florence and member of the Geomatics for Environment and Conservation of Cultural heritage (GECO) Laboratory. She holds a PhD from Parthenope University of Naples in in Environment, Resources and Sustainable Development. Her research interests include attitude estimation methods based on visual-inertial, Computer Vision and Deep Learning techniques, as well as cultural heritage preservation, climate change impact assessment, environmental monitoring, metrology, underwater photogrammetry and 3D reconstruction techniques. She worked as Guest Editor for MDPI Sensor journal and as special session chair for the 2022 International Workshop on Metrology for the Sea and for the 2023 CIPA Symposium.

Mail to: fabiana.diciaccio(at)unifi.it

Jan Boehm is Professor of Photogrammetry and 3D Imaging at University College London. He is the Head of the Geomatics Section at the Department for Civil, Environmental and Geomatic Engineering. Jan Boehm’s research focuses on 3D data acquisition and 3D data processing, including scene understanding. He has served as chair and co-chair on several working groups and conferences of the International Society of Photogrammetry and Remote Sensing (ISPRS) and the Open Geospatial Consortium (OGC).

Mail to: j.boehm(at)ucl.ac.uk

Jefersson A. dos Santos is an Assistant Professor (UK Lecturer) at the University of Sheffield. He is an Associate Editor for the IEEE Geoscience and Remote Sensing Letters and Co-Chair for the ISPRS Working Group for AI/ML for Geospatial Data. His research interests include remote sensing image processing, computer vision and machine learning. Jefersson founded the Laboratory of Pattern Recognition and Earth Observation (PATREO) at the Department of Computer Science, UFMG, Brazil.

Mail to: j.santos(at)sheffield.ac.uk

Keiller Nogueira is a lecturer in the Division of Computing Science and Mathematics at the University of Stirling, UK. He works at the intersection of machine/deep learning, computer vision, and remote sensing, with the aim of addressing key scientific questions in the computational, environmental, and geosciences fields for distinct problems, applications, and tasks. His research interests include image and pixel classification, urban-scene understanding, sustainable agriculture, explainable artificial intelligence, spatiotemporal phenological studies (and the impacts of climate change), and so on.

Mail to: keiller.nogueira(at)stir.ac.uk

Paolo Russo is an assistant professor (RTDa) at the Sapienza University of Rome. His researches focus on Deep Learning techniques applied to several Computer Vision tasks, such as realistic image generation, domain adaptation, and depth estimation. He is also interested in applying tailored Computer Vision techniques to other fields of research, such as robot orientation estimation, neoplasms classification, and anomaly detection on structures. He contributes as a Guest Editor for MDPI Sensors journal on the pose estimation and action recognition topic. Finally, he worked as a special session chair on the applications of deep learning and artificial intelligence techniques for environmental protection at the 2022 International Workshop on Metrology for the Sea.

Mail to: paolo.russo(at)uniroma1.it

Ribana Roscher is a Professor of Data Science for Crop Systems at the University of Bonn, Germany, and heads the same-titled group at the Institute of Bio- and Geosciences at Research Center Jülich, Germany. Her research focus is pattern recognition and machine learning specifically for applications in agricultural and environmental sciences. She currently chairs the IAPR Technical Committee 7 'Remote Sensing and Mapping' and the ISPRS Working Group 'Machine Learning for Geospatial Data'.

Mail to: ribana.roscher(at)uni-bonn.de

Dr. Ronny Hänsch received the Diploma in computer science and the Ph.D. degree from the TU Berlin, Berlin, Germany, in 2007 and 2014, respectively. He is a scientist at the Microwave and Radar Institute of the German Aerospace Center (DLR) where he leads the Machine Learning Team in the Signal Processing Group of the SAR Technology Department. He continues to lecture at the TU Berlin in the Computer Vision and Remote Sensing Group. His research interest is computer vision and machine learning with a focus on remote sensing (in particular SAR processing and analysis). He served as chair of the GRSS Image Analysis and Data Fusion (IADF) technical committee, serves as co-chair of the ISPRS working group on Image Orientation and Sensor Fusion, editor of the GRSS eNewsletter, associate editor of the Geoscience and Remote Sensing Letters and the ISPRS Journal of Photogrammetry and Remote Sensing, organizer of the CVPR Workshop EarthVision (2017-2023) and the IGARSS Tutorial on Machine Learning in Remote Sensing (2017-2023). He has extensive experience in organizing remote sensing community competitions, serves as the GRSS representative within SpaceNet and was the technical lead of the SpaceNet 8 Challenge.

Mail to: r.haensch(at)tu-berlin.de