Rapid Mapping of Landslides Triggered by the Storm Alex, October 2020
dc.contributor.author
Prakash, Nikhil
dc.contributor.author
Manconi, Andrea
dc.date.accessioned
2022-02-25T08:19:03Z
dc.date.available
2021-10-18T11:31:33Z
dc.date.available
2021-10-19T11:34:09Z
dc.date.available
2022-02-25T08:19:03Z
dc.date.issued
2021
dc.identifier.isbn
978-1-6654-0369-6
en_US
dc.identifier.isbn
978-1-6654-0368-9
en_US
dc.identifier.isbn
978-1-6654-4762-1
en_US
dc.identifier.other
10.1109/igarss47720.2021.9553321
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/510399
dc.description.abstract
On 2nd and 3rd October 2020, Storm Alex hit northern Italy and southern France regions with 500 mm of rainfall in about 24 hours. This triggered devastating flash floods and landslides, causing severe damages and 15 fatalities. This study presents a landslide inventory map obtained by using a generalized deep-learning model, avoiding human interaction in the workflow by skipping the time-consuming training step. A total of 1,249 landslides have been mapped with this approach in minutes after a suitable post-event satellite image was available for processing. Our results show how deep-learning strategies applied to remote sensing data can help in the aftermath of catastrophic events for the rapid detection and mapping of landslide phenomena.
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.subject
Landslide
en_US
dc.subject
Rapid mapping
en_US
dc.subject
Convolutional neural network (CNN)
en_US
dc.subject
Deep-learning
en_US
dc.subject
Storm Alex
en_US
dc.title
Rapid Mapping of Landslides Triggered by the Storm Alex, October 2020
en_US
dc.type
Conference Paper
dc.date.published
2021-10-12
ethz.book.title
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
en_US
ethz.pages.start
1808
en_US
ethz.pages.end
1811
en_US
ethz.event
41st Annual International Geoscience and Remote Sensing Symposium (IGARSS 2021)
en_US
ethz.event.location
Online
en_US
ethz.event.date
July 11-16, 2021
en_US
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02330 - Dep. Erdwissenschaften / Dep. of Earth Sciences::02704 - Geologisches Institut / Geological Institute::03465 - Löw, Simon (emeritus) / Löw, Simon (emeritus)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02330 - Dep. Erdwissenschaften / Dep. of Earth Sciences::02704 - Geologisches Institut / Geological Institute::03465 - Löw, Simon (emeritus) / Löw, Simon (emeritus)
en_US
ethz.relation.isPartOf
handle/20.500.11850/526911
ethz.date.deposited
2021-10-18T11:31:39Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2021-10-19T11:34:19Z
ethz.rosetta.lastUpdated
2022-03-29T20:01:34Z
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true
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Conference Paper [34998]