Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/16174
Authors: Civico, Riccardo* 
Ricci, Tullio* 
Scarlato, Piergiorgio* 
Taddeucci, Jacopo* 
Andronico, Daniele* 
Del Bello, Elisabetta* 
D'Auria, Luca* 
Hernandez, Pedro* 
Perez, Nemesio M.* 
Title: High-resolution Digital Surface Model of the 2021 eruption deposit of Cumbre Vieja volcano, La Palma, Spain
Journal: Scientific Data 
Series/Report no.: / 9 (2022)
Publisher: Nature PG
Issue Date: 28-Jul-2022
DOI: 10.1038/s41597-022-01551-8
Abstract: Identifying accurate topographic variations associated with volcanic eruptions plays a key role in obtaining information on eruptive parameters, volcano structure, input data for volcano processes modelling, and civil protection and recovery actions. The 2021 eruption of Cumbre Vieja volcano is the largest eruptive event in the recorded history for La Palma Island. Over the course of almost 3 months, the volcano produced profound morphological changes in the landscape affecting both the natural and the anthropic environment over an area of tens of km2. We present the results of a UAS (Unoccupied Aircraft System) survey consisting of >12,000 photographs coupled with Structure-from-Motion photogrammetry that allowed us to produce a very-high-resolution (0.2 m/pixel) Digital Surface Model (DSM). We characterised the surface topography of the newly formed volcanic landforms and produced an elevation difference map by differencing our survey and a pre-event surface, identifying morphological changes in detail. The present DSM, the first one with such a high resolution to our knowledge, represents a relevant contribution to both the scientific community and the local authorities.
Appears in Collections:Article published / in press

Files in This Item:
File Description SizeFormat
Civico_et_al_SD_2022_CumbreVieja.pdfOpen Access Published Paper2.32 MBAdobe PDFView/Open
Show full item record

Page view(s)

359
checked on Apr 24, 2024

Download(s)

26
checked on Apr 24, 2024

Google ScholarTM

Check

Altmetric