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  5. Data Fusion for Satellite-Derived Earth Surface: The 2021 Topographic Map of Etna Volcano
 
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Data Fusion for Satellite-Derived Earth Surface: The 2021 Topographic Map of Etna Volcano

Author(s)
Ganci, Gaetana  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Cappello, Annalisa  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Neri, Marco  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Language
English
Obiettivo Specifico
OSV4: Preparazione alle crisi vulcaniche
Status
Published
JCR Journal
JCR Journal
Journal
Remote Sensing  
Issue/vol(year)
/15 (2023)
ISSN
2072-4292
Publisher
MDPI
Pages (printed)
198
Date Issued
2023
DOI
10.3390/rs15010198
URI
https://www.earth-prints.org/handle/2122/16983
Abstract
We present a new automatic procedure for updating digital topographic data from multi-source satellite imagery, which consists in the production of Digital Surface Models (DSMs) from high resolution optical satellite images, followed by a context-aware fusion that exploits the complementary characteristics of the multi-source DSMs. The fused DSM minimizes blunders and artifacts due to occlusions (e.g., the presence of clouds, snow or ash plumes) in the source images, resulting in improved accuracy and quality versus those that are not merged. The procedure has been tested to produce the 2021 digital topography of Mt Etna, whose summit area is constantly changing and shows the new peak of 3347 m on the north rim of the South East Crater. We also employ the 2021 DSM to measure the volcanic deposits emplaced in the last five years, finding about 120 million cubic meters, with a yearly average volume of about 24 million cubic meters in agreement with the large eruptive rates registered at Mt Etna since the nineteen seventies. The flexibility and modularity of the presented procedure make it easily exportable to other environmental contexts, allowing for a fast and frequent reconstruction of topographic surfaces even in extreme environments.
Type
article
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Ganci_RS_2023_Fusion.pdf

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