Precursory Motion and Time-Of-Failure Prediction of the Achoma Landslide, Peru, From High Frequency PlanetScope Satellites

Descripción del Articulo

Landslide time-of-failure prediction is crucial in natural hazards, often requiring precise measurements from in situ instruments. This instrumentation is not always possible, and remote-sensing techniques have been questioned for detecting precursors and predicting landslides. Here, based on high f...

Descripción completa

Detalles Bibliográficos
Autores: Lacroix, Pascal, Huanca Cárdenas, Joseph, Albinez Baca, Luis Angel, Taipe Maquerhua, Edu Luis
Formato: artículo
Fecha de Publicación:2023
Institución:Instituto Geológico, Minero y Metalúrgico
Repositorio:INGEMMET-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ingemmet.gob.pe:20.500.12544/4821
Enlace del recurso:https://hdl.handle.net/20.500.12544/4821
https://doi.org/10.1029/2023GL105413
Nivel de acceso:acceso abierto
Materia:Movimientos en masa
Deslizamientos
Predicción
Peligros geológicos
Imágenes de satélite
http://purl.org/pe-repo/ocde/ford#1.05.01
http://purl.org/pe-repo/ocde/ford#1.05.04
http://purl.org/pe-repo/ocde/ford#1.05.06
id INGEMMET_9fbda93a4171f8af9ab0f7e8f6fe7ff7
oai_identifier_str oai:repositorio.ingemmet.gob.pe:20.500.12544/4821
network_acronym_str INGEMMET
network_name_str INGEMMET-Institucional
repository_id_str 2991
dc.title.es_PE.fl_str_mv Precursory Motion and Time-Of-Failure Prediction of the Achoma Landslide, Peru, From High Frequency PlanetScope Satellites
title Precursory Motion and Time-Of-Failure Prediction of the Achoma Landslide, Peru, From High Frequency PlanetScope Satellites
spellingShingle Precursory Motion and Time-Of-Failure Prediction of the Achoma Landslide, Peru, From High Frequency PlanetScope Satellites
Lacroix, Pascal
Movimientos en masa
Deslizamientos
Predicción
Peligros geológicos
Imágenes de satélite
http://purl.org/pe-repo/ocde/ford#1.05.01
http://purl.org/pe-repo/ocde/ford#1.05.04
http://purl.org/pe-repo/ocde/ford#1.05.06
title_short Precursory Motion and Time-Of-Failure Prediction of the Achoma Landslide, Peru, From High Frequency PlanetScope Satellites
title_full Precursory Motion and Time-Of-Failure Prediction of the Achoma Landslide, Peru, From High Frequency PlanetScope Satellites
title_fullStr Precursory Motion and Time-Of-Failure Prediction of the Achoma Landslide, Peru, From High Frequency PlanetScope Satellites
title_full_unstemmed Precursory Motion and Time-Of-Failure Prediction of the Achoma Landslide, Peru, From High Frequency PlanetScope Satellites
title_sort Precursory Motion and Time-Of-Failure Prediction of the Achoma Landslide, Peru, From High Frequency PlanetScope Satellites
author Lacroix, Pascal
author_facet Lacroix, Pascal
Huanca Cárdenas, Joseph
Albinez Baca, Luis Angel
Taipe Maquerhua, Edu Luis
author_role author
author2 Huanca Cárdenas, Joseph
Albinez Baca, Luis Angel
Taipe Maquerhua, Edu Luis
author2_role author
author
author
dc.contributor.author.fl_str_mv Lacroix, Pascal
Huanca Cárdenas, Joseph
Albinez Baca, Luis Angel
Taipe Maquerhua, Edu Luis
dc.subject.es_PE.fl_str_mv Movimientos en masa
Deslizamientos
Predicción
Peligros geológicos
Imágenes de satélite
topic Movimientos en masa
Deslizamientos
Predicción
Peligros geológicos
Imágenes de satélite
http://purl.org/pe-repo/ocde/ford#1.05.01
http://purl.org/pe-repo/ocde/ford#1.05.04
http://purl.org/pe-repo/ocde/ford#1.05.06
dc.subject.ocde.es_PE.fl_str_mv http://purl.org/pe-repo/ocde/ford#1.05.01
http://purl.org/pe-repo/ocde/ford#1.05.04
http://purl.org/pe-repo/ocde/ford#1.05.06
description Landslide time-of-failure prediction is crucial in natural hazards, often requiring precise measurements from in situ instruments. This instrumentation is not always possible, and remote-sensing techniques have been questioned for detecting precursors and predicting landslides. Here, based on high frequency acquisitions of the PlanetScope satellite constellation, we study the kinematics of a large landslide located in Peru that failed in June 2020. We show that the landslide underwent a progressive acceleration in the 3 months before its failure, reaching at most 8 m of total displacement. The high frequency of satellite revisit allows us to apply the popular Fukuzono method for landslide time-of-failure prediction, with sufficient confidence for faster moving areas of the landslide. These results open new opportunities for landslide precursors detection from space, but also show the probable seldom applicability of the optical satellites for landslide time-of-failure prediction.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-10-19T20:51:17Z
dc.date.available.none.fl_str_mv 2023-10-19T20:51:17Z
dc.date.issued.fl_str_mv 2023-09
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
dc.type.version.es_PE.fl_str_mv info:eu-repo/semantics/draft
format article
status_str draft
dc.identifier.citation.es_PE.fl_str_mv Lacroix, P., Huanca, J., Albinez, L., & Taipe, E. (2023). Precursory Motion and Time‐Of‐Failure Prediction of the Achoma Landslide, Peru, From High Frequency PlanetScope Satellites. Geophysical Research Letters, 50(19), e2023GL105413. https://doi.org/10.1029/2023GL105413
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12544/4821
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1029/2023GL105413
dc.identifier.journal.es_PE.fl_str_mv Geophysical Research Letters
dc.identifier.bibliographicCitation.es_PE.fl_str_mv Geophysical Research Letters, vol. 50, número 19, art. e2023GL105413, setiembre 2023
identifier_str_mv Lacroix, P., Huanca, J., Albinez, L., & Taipe, E. (2023). Precursory Motion and Time‐Of‐Failure Prediction of the Achoma Landslide, Peru, From High Frequency PlanetScope Satellites. Geophysical Research Letters, 50(19), e2023GL105413. https://doi.org/10.1029/2023GL105413
Geophysical Research Letters
Geophysical Research Letters, vol. 50, número 19, art. e2023GL105413, setiembre 2023
url https://hdl.handle.net/20.500.12544/4821
https://doi.org/10.1029/2023GL105413
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.ispartof.es_PE.fl_str_mv urn:issn:0094-8276
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.es_PE.fl_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
dc.format.es_PE.fl_str_mv application/pdf
dc.coverage.spatial.es_PE.fl_str_mv Achoma
Caylloma
Arequipa
Perú
dc.publisher.es_PE.fl_str_mv Wiley-Blackwell
American Geophysical Union
dc.publisher.country.es_PE.fl_str_mv US
dc.source.es_PE.fl_str_mv Repositorio Institucional INGEMMET
Instituto Geológico, Minero y Metalúrgico – INGEMMET
dc.source.none.fl_str_mv reponame:INGEMMET-Institucional
instname:Instituto Geológico, Minero y Metalúrgico
instacron:INGEMMET
instname_str Instituto Geológico, Minero y Metalúrgico
instacron_str INGEMMET
institution INGEMMET
reponame_str INGEMMET-Institucional
collection INGEMMET-Institucional
bitstream.url.fl_str_mv https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/4821/1/Lacroix-Precursory_motion...Achoma_landslide_Peru.pdf
https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/4821/2/license.txt
https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/4821/3/Lacroix-Precursory_motion...Achoma_landslide_Peru.pdf.txt
https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/4821/4/Lacroix-Precursory_motion...Achoma_landslide_Peru.pdf.jpg
bitstream.checksum.fl_str_mv 4af45d3c08b46bdcc790b8764a9a0f5d
ecccc10c448afdeacc04912e07a3ed65
e4f5ee1ea94f636612a3e1726a21a931
1940f046250e0ed029ccf3658b58e5d5
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Institucional INGEMMET
repository.mail.fl_str_mv repositorio@ingemmet.gob.pe
_version_ 1815350284679905280
spelling Lacroix, PascalHuanca Cárdenas, JosephAlbinez Baca, Luis AngelTaipe Maquerhua, Edu LuisAchomaCayllomaArequipaPerú2023-10-19T20:51:17Z2023-10-19T20:51:17Z2023-09Lacroix, P., Huanca, J., Albinez, L., & Taipe, E. (2023). Precursory Motion and Time‐Of‐Failure Prediction of the Achoma Landslide, Peru, From High Frequency PlanetScope Satellites. Geophysical Research Letters, 50(19), e2023GL105413. https://doi.org/10.1029/2023GL105413https://hdl.handle.net/20.500.12544/4821https://doi.org/10.1029/2023GL105413Geophysical Research LettersGeophysical Research Letters, vol. 50, número 19, art. e2023GL105413, setiembre 2023Landslide time-of-failure prediction is crucial in natural hazards, often requiring precise measurements from in situ instruments. This instrumentation is not always possible, and remote-sensing techniques have been questioned for detecting precursors and predicting landslides. Here, based on high frequency acquisitions of the PlanetScope satellite constellation, we study the kinematics of a large landslide located in Peru that failed in June 2020. We show that the landslide underwent a progressive acceleration in the 3 months before its failure, reaching at most 8 m of total displacement. The high frequency of satellite revisit allows us to apply the popular Fukuzono method for landslide time-of-failure prediction, with sufficient confidence for faster moving areas of the landslide. These results open new opportunities for landslide precursors detection from space, but also show the probable seldom applicability of the optical satellites for landslide time-of-failure prediction.Peer reviewedapplication/pdfengWiley-BlackwellAmerican Geophysical UnionUSurn:issn:0094-8276info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/Repositorio Institucional INGEMMETInstituto Geológico, Minero y Metalúrgico – INGEMMETreponame:INGEMMET-Institucionalinstname:Instituto Geológico, Minero y Metalúrgicoinstacron:INGEMMETMovimientos en masaDeslizamientosPredicciónPeligros geológicosImágenes de satélitehttp://purl.org/pe-repo/ocde/ford#1.05.01http://purl.org/pe-repo/ocde/ford#1.05.04http://purl.org/pe-repo/ocde/ford#1.05.06Precursory Motion and Time-Of-Failure Prediction of the Achoma Landslide, Peru, From High Frequency PlanetScope Satellitesinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/draftORIGINALLacroix-Precursory_motion...Achoma_landslide_Peru.pdfLacroix-Precursory_motion...Achoma_landslide_Peru.pdfArtículo científicoapplication/pdf1111357https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/4821/1/Lacroix-Precursory_motion...Achoma_landslide_Peru.pdf4af45d3c08b46bdcc790b8764a9a0f5dMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81567https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/4821/2/license.txtecccc10c448afdeacc04912e07a3ed65MD52TEXTLacroix-Precursory_motion...Achoma_landslide_Peru.pdf.txtLacroix-Precursory_motion...Achoma_landslide_Peru.pdf.txtExtracted texttext/plain55128https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/4821/3/Lacroix-Precursory_motion...Achoma_landslide_Peru.pdf.txte4f5ee1ea94f636612a3e1726a21a931MD53THUMBNAILLacroix-Precursory_motion...Achoma_landslide_Peru.pdf.jpgLacroix-Precursory_motion...Achoma_landslide_Peru.pdf.jpgGenerated Thumbnailimage/jpeg29579https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/4821/4/Lacroix-Precursory_motion...Achoma_landslide_Peru.pdf.jpg1940f046250e0ed029ccf3658b58e5d5MD5420.500.12544/4821oai:repositorio.ingemmet.gob.pe:20.500.12544/48212023-10-19 16:17:47.725Repositorio Institucional INGEMMETrepositorio@ingemmet.gob.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
score 13.959421
Precursory Motion and Time-Of-Failure Prediction of the Achoma Landslide, Peru, From High Frequency PlanetScope Satellites
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).

Ejemplares Similares