
In addition to the contributors, the following participants actively supported the dataset collection: Ilaria Enrica Senaldi, Emanuele Brunesi, Stefano Bracchi and Igor Lanese (EUCENTRE Foundation); Andrea Giorgi and Luca Stefanoli (ARPA Valle d'Aosta); Gianluca Negra (CIMA Foundation); Salvatore Arcuri (ARPA Calabria); Dario Bellingeri (ARPA Lombardia); Daniele Trippanera, Martina Forzese, Alessandro Fornaciai and Andrea Bevilacqua (INGV); Andrea Berton, Angelo Ballaera, Roberto De Franco and Grazia Caielli (CNR); Gabriele Scaduto (Università di Firenze).
Raw images dataset collected using multi-rotor UASs within the first assignment EXE 1 of the medium-scale technical civil protection exercise “EXE.Lomb.Est 2023”, carried out in October 2023 during Italian Civil Protection Week. The assignment is related to the post-event rapid mapping of a medium-size area for fast assessment. The technical group is a network of Italian Civil Protection Centre of Competence with internal UAS units.
Part of the dataset collection has been carried out under the financial support of the Italian Civil Protection (within the framework of the Executive Project 2022–2023 with the EUCENTRE Foundation) and of the Lombardy Region (within the convention 2022-2024 with the EUCENTRE Foundation: L.R. 27/2021- art. 8; L.R: 33/2015 e DGR 5935/2022).
Multi-rotor Unmanned Aerial System (UAS)
Multi-rotor Unmanned Aerial System (UAS)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
