{"id":"https://openalex.org/W3207184378","doi":"https://doi.org/10.1109/igarss47720.2021.9555049","title":"Towards Improved Forecasting of Volcanic Hazards Using Machine Learning Applied to InSAR Data","display_name":"Towards Improved Forecasting of Volcanic Hazards Using Machine Learning Applied to InSAR Data","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207184378","doi":"https://doi.org/10.1109/igarss47720.2021.9555049","mag":"3207184378"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9555049","doi":"https://doi.org/10.1109/igarss47720.2021.9555049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9555049","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091769787","display_name":"Andrew J. Hooper","orcid":"https://orcid.org/0000-0003-4244-6652","observed_orcids":["https://orcid.org/0000-0003-4244-6652"]},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]},{"id":"https://openalex.org/I4210147017","display_name":"Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics","ror":"https://ror.org/047d2d387","country_code":"GB","type":"facility","lineage":["https://openalex.org/I124357947","https://openalex.org/I130828816","https://openalex.org/I139290333","https://openalex.org/I141816643","https://openalex.org/I146655781","https://openalex.org/I190082696","https://openalex.org/I241749","https://openalex.org/I36234482","https://openalex.org/I40120149","https://openalex.org/I4210087105","https://openalex.org/I4210147017","https://openalex.org/I45129253","https://openalex.org/I71052956","https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrew Hooper","raw_affiliation_strings":["COMET, School of Earth and Environment, University of Leeds,UK","COMET, School of Earth and Environment, University of Leeds, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"COMET, School of Earth and Environment, University of Leeds,UK","institution_ids":["https://openalex.org/I130828816","https://openalex.org/I4210147017"]},{"raw_affiliation_string":"COMET, School of Earth and Environment, University of Leeds, UK","institution_ids":["https://openalex.org/I130828816","https://openalex.org/I4210147017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058878982","display_name":"Matthew Gaddes","orcid":"https://orcid.org/0000-0003-4033-0568","observed_orcids":["https://orcid.org/0000-0003-4033-0568"]},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]},{"id":"https://openalex.org/I4210147017","display_name":"Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics","ror":"https://ror.org/047d2d387","country_code":"GB","type":"facility","lineage":["https://openalex.org/I124357947","https://openalex.org/I130828816","https://openalex.org/I139290333","https://openalex.org/I141816643","https://openalex.org/I146655781","https://openalex.org/I190082696","https://openalex.org/I241749","https://openalex.org/I36234482","https://openalex.org/I40120149","https://openalex.org/I4210087105","https://openalex.org/I4210147017","https://openalex.org/I45129253","https://openalex.org/I71052956","https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Matthew Gaddes","raw_affiliation_strings":["COMET, School of Earth and Environment, University of Leeds,UK","COMET, School of Earth and Environment, University of Leeds, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"COMET, School of Earth and Environment, University of Leeds,UK","institution_ids":["https://openalex.org/I130828816","https://openalex.org/I4210147017"]},{"raw_affiliation_string":"COMET, School of Earth and Environment, University of Leeds, UK","institution_ids":["https://openalex.org/I130828816","https://openalex.org/I4210147017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017695723","display_name":"Marco Bagnardi","orcid":"https://orcid.org/0000-0002-4315-0944","observed_orcids":["https://orcid.org/0000-0002-4315-0944"]},"institutions":[{"id":"https://openalex.org/I1306266525","display_name":"Goddard Space Flight Center","ror":"https://ror.org/0171mag52","country_code":"US","type":"facility","lineage":["https://openalex.org/I1306266525","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marco Bagnardi","raw_affiliation_strings":["Goddard Space Flight Center, NASA,Greenbelt,MD,USA","Goddard Space Flight Center, NASA, Greenbelt, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Goddard Space Flight Center, NASA,Greenbelt,MD,USA","institution_ids":["https://openalex.org/I1306266525"]},{"raw_affiliation_string":"Goddard Space Flight Center, NASA, Greenbelt, MD, USA","institution_ids":["https://openalex.org/I1306266525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019912703","display_name":"F. Albino","orcid":"https://orcid.org/0000-0001-9279-8125","observed_orcids":["https://orcid.org/0000-0001-9279-8125"]},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fabien Albino","raw_affiliation_strings":["COMET, University of Bristol,Bristol,UK","COMET, University of Bristol, Bristol, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"COMET, University of Bristol,Bristol,UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"COMET, University of Bristol, Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8809,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7069291,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"8484","last_page":"8486"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12424","display_name":"Earthquake Detection and Analysis","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/volcano-deformation","display_name":"volcano deformation","score":0.7329999804496765},{"id":"https://openalex.org/keywords/insar","display_name":"InSAR","score":0.8690000176429749},{"id":"https://openalex.org/keywords/sentinel-1","display_name":"Sentinel-1","score":0.8080000281333923},{"id":"https://openalex.org/keywords/volcanic-hazard-forecasting","display_name":"volcanic hazard forecasting","score":0.7590000033378601},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"independent component analysis","score":0.8849999904632568}],"concepts":[{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.7135228514671326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6880592107772827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6503397226333618},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6330388188362122},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.592266857624054},{"id":"https://openalex.org/C120806208","wikidata":"https://www.wikidata.org/wiki/Q8072","display_name":"Volcano","level":2,"score":0.5842153429985046},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5052424073219299},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.49971556663513184},{"id":"https://openalex.org/C84983702","wikidata":"https://www.wikidata.org/wiki/Q2361456","display_name":"Subaerial","level":2,"score":0.48934048414230347},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4846380352973938},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.47800934314727783},{"id":"https://openalex.org/C136428324","wikidata":"https://www.wikidata.org/wiki/Q838414","display_name":"Deformation monitoring","level":3,"score":0.43345749378204346},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4331301152706146},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4024501442909241},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3911442756652832},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.3073953688144684},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14445993304252625},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9555049","doi":"https://doi.org/10.1109/igarss47720.2021.9555049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9555049","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46149998903274536,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W183625566","https://openalex.org/W1683511521","https://openalex.org/W1686810756","https://openalex.org/W2898734944","https://openalex.org/W2903382683","https://openalex.org/W2973129592","https://openalex.org/W3162742366","https://openalex.org/W4399786293","https://openalex.org/W6637359451","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W1504460587","https://openalex.org/W3206958763","https://openalex.org/W2159160885","https://openalex.org/W2099318526","https://openalex.org/W2354641586","https://openalex.org/W2276467122","https://openalex.org/W1991045795","https://openalex.org/W2369041528","https://openalex.org/W2366502821","https://openalex.org/W2034946657"],"abstract_inverted_index":{"There":[0],"are":[1,15,79],"~":[2],"1400":[3],"subaerial":[4],"volcanoes":[5],"with":[6,35,126,190,205],"the":[7,21,28,67,74,139,150,173,191,220,243,257,262,266],"potential":[8,29],"to":[9,30,48,84,94,122,163,169,197,214],"erupt,":[10],"but":[11,77],"less":[12],"than":[13],"10%":[14],"instrumentally":[16],"monitored.":[17],"Routine":[18],"acquisition":[19],"by":[20,60],"European":[22],"Sentinel-1":[23,61],"radar":[24,51],"mission":[25],"now":[26],"offers":[27],"monitor":[31],"most":[32],"of":[33,66,82,97,119,141,193,199,222,235,241,247,256,268,272],"them":[34],"at":[36],"least":[37],"two":[38],"acquisitions":[39],"every":[40],"twelve":[41],"days.":[42],"We":[43,87,114,133,158,179,227,259],"have":[44,88,159,180],"developed":[45,90,182],"a":[46,55,63,117,187,206,232,269],"system":[47],"routinely":[49],"apply":[50],"interferometry":[52],"(InSAR)":[53],"whenever":[54],"new":[56,99,136,156],"image":[57],"is":[58,203,212,251],"acquired":[59],"over":[62],"volcano.":[64],"Displacement":[65],"ground":[68],"between":[69],"images":[70],"shows":[71],"up":[72],"in":[73,104,138,147,176,224],"resulting":[75],"interferograms,":[76],"there":[78],"too":[80],"many":[81],"these":[83],"inspect":[85],"individually.":[86],"therefore":[89],"an":[91,183],"automated":[92],"approach":[93,162,196],"identify":[95,123],"signs":[96],"both":[98,215,242],"deformation":[100,108,128,217],"patterns":[101],"and":[102,129,144,153,218,245,250],"changes":[103,146],"rate":[105,148],"for":[106,253],"existing":[107],"patterns,":[109],"using":[110,186],"independent":[111],"component":[112],"analysis.":[113],"first":[115,170],"use":[116],"set":[118],"training":[120,255],"interfero-grams":[121],"components":[124],"associated":[125],"background":[127,151],"common":[130],"atmospheric":[131,174],"patterns.":[132],"then":[134,260],"analyse":[135],"interferograms":[137],"context":[140],"those":[142],"components,":[143],"flag":[145],"above":[149],"variation,":[152],"significant":[154],"unexplained":[155],"signals.":[157],"found":[160],"this":[161,195,229],"be":[164],"successful":[165],"even":[166],"without":[167],"having":[168],"explicitly":[171],"estimate":[172],"signal":[175],"individual":[177],"interferograms.":[178,226],"also":[181],"alternative":[184],"algorithm":[185],"deep-learning":[188],"approach,":[189],"aim":[192],"extending":[194],"forecasting":[198],"volcanic":[200],"activity.":[201],"This":[202],"implemented":[204],"\u201cdouble-headed\u201d":[207],"convolutional":[208],"neural":[209],"network,":[210],"which":[211,238],"able":[213],"locate":[216],"classify":[219],"type":[221,244],"deformation,":[223,249],"single":[225],"achieve":[228],"through":[230,265],"creating":[231],"large":[233],"dataset":[234],"synthetic":[236],"interfero-grams,":[237],"features":[239],"labels":[240],"location":[246],"any":[248],"used":[252],"initial":[254],"network.":[258],"fine-tune":[261],"network's":[263],"performance":[264],"inclusion":[267],"smaller":[270],"amount":[271],"real":[273],"data.":[274]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2025-10-10T00:00:00"}