001029395 001__ 1029395 001029395 005__ 20250203133154.0 001029395 0247_ $$2doi$$a10.1109/MGRS.2023.3347770 001029395 0247_ $$2datacite_doi$$a10.34734/FZJ-2024-05103 001029395 0247_ $$2WOS$$aWOS:001181182100002 001029395 037__ $$aFZJ-2024-05103 001029395 082__ $$a550 001029395 1001_ $$0P:(DE-Juel1)171343$$aCavallaro, Gabriele$$b0 001029395 245__ $$aHigh Performance and Disruptive Computing in Remote Sensing: The Third Edition of the School Organized by the HDCRS Working Group of the GRSS Earth Science Informatics Technical Committee 001029395 260__ $$aNew York, NY$$bIEEE$$c2024 001029395 3367_ $$2DRIVER$$aarticle 001029395 3367_ $$2DataCite$$aOutput Types/Journal article 001029395 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1724055467_8808 001029395 3367_ $$2BibTeX$$aARTICLE 001029395 3367_ $$2ORCID$$aJOURNAL_ARTICLE 001029395 3367_ $$00$$2EndNote$$aJournal Article 001029395 520__ $$aFrom May 29 to June 1, 2023, the University of Iceland in Reykjavik hosted the third "High Performance and Disruptive Computing in Remote Sensing" school. Organized by the HDCRS Working Group of the GRSS Earth Science Informatics Technical Committee (ESI TC), the event aimed to educate attendees on the latest advancements in parallel and scalable computing algorithms and technologies as they pertain to remote sensing. The curriculum spanned four key topics and integrated theoretical knowledge with practical exercises. With over 100 global registrations, 30 individuals were chosen for the in-person event in Reykjavik, based on a rigorous selection process emphasizing diversity, experience, and skills. 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