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  5. A LiDAR survey of Stromboli volcano (Italy): Digital elevation model-based geomorphology and intensity analysis
 
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A LiDAR survey of Stromboli volcano (Italy): Digital elevation model-based geomorphology and intensity analysis

Author(s)
Fornaciai, A.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Pisa, Pisa, Italia  
Bisson, M.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Pisa, Pisa, Italia  
Mazzarini, F.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Pisa, Pisa, Italia  
Pareschi, M. T.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Pisa, Pisa, Italia  
Landi, P.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Pisa, Pisa, Italia  
Language
English
Obiettivo Specifico
1.10. TTC - Telerilevamento
3.5. Geologia e storia dei vulcani ed evoluzione dei magmi
3.6. Fisica del vulcanismo
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
International Journal of Remote Sensing  
Issue/vol(year)
12/31(2010)
Publisher
Taylor & Francis
Pages (printed)
3177-3194
Date Issued
April 2010
DOI
10.1080/01431160903154416
Last version
http://hdl.handle.net/2122/4497
URI
https://www.earth-prints.org/handle/2122/6610
Subjects
04. Solid Earth::04.08. Volcanology::04.08.05. Volcanic rocks  
04. Solid Earth::04.08. Volcanology::04.08.07. Instruments and techniques  
04. Solid Earth::04.08. Volcanology::04.08.08. Volcanic risk  
Subjects

Stromboli Volcano

LiDAR

Volcanic surfaces

Geologic mapping

Abstract
LiDAR (Light Detection and Ranging) is a novel and very useful active remote sensing system which can be used to directly identify geomorphological features as well as the properties of materials on the ground surface. In this work, LiDAR data were applied to the study of the Stromboli volcano in Italy. LiDAR data points, collected during a survey in October 2005, were used to generate a Digital Elevation Model (DEM) and a calibrated intensity map of the ground surface. The DEM, derived maps and topographic cross-sections were used to complete a geomorphological analysis of Stromboli, which led to the identification of four main geomorphological domains linked to major volcanic cycles. Moreover, we investigated and documented the potential of LiDAR intensity data for distinguishing and characterizing different volcanic products, such as fallout deposits, epiclastic sediments and lava flows.
Type
article
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IJRS_Fornaciai_etal_2010.pdf

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5.89 MB

Format

Adobe PDF

Checksum (MD5)

a60aeb96112724451c8873c3c80d5732

rome library|catania library|milano library|napoli library|pisa library|palermo library
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