{"id":"https://openalex.org/W4387803843","doi":"https://doi.org/10.1109/igarss52108.2023.10283036","title":"Precipitation-Triggered Landslide Prediction in Nepal Using Machine Learning and Deep Learning","display_name":"Precipitation-Triggered Landslide Prediction in Nepal Using Machine Learning and Deep Learning","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387803843","doi":"https://doi.org/10.1109/igarss52108.2023.10283036"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10283036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10283036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","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/A5059184621","display_name":"Kelsey Doerksen","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Kelsey Doerksen","raw_affiliation_strings":["University of Oxford,Department of Computer Science","Department of Computer Science, University of Oxford"],"affiliations":[{"raw_affiliation_string":"University of Oxford,Department of Computer Science","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Department of Computer Science, University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029186201","display_name":"Yarin Gal","orcid":"https://orcid.org/0000-0002-2733-2078"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yarin Gal","raw_affiliation_strings":["University of Oxford,Department of Computer Science","Department of Computer Science, University of Oxford"],"affiliations":[{"raw_affiliation_string":"University of Oxford,Department of Computer Science","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Department of Computer Science, University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029587041","display_name":"Freddie Kalaitzis","orcid":"https://orcid.org/0000-0002-1471-646X"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Freddie Kalaitzis","raw_affiliation_strings":["University of Oxford,Department of Computer Science","Department of Computer Science, University of Oxford"],"affiliations":[{"raw_affiliation_string":"University of Oxford,Department of Computer Science","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Department of Computer Science, University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002521229","display_name":"Cristian Rossi","orcid":"https://orcid.org/0000-0002-3277-2182"},"institutions":[{"id":"https://openalex.org/I4210086921","display_name":"Satellite Applications Catapult (United Kingdom)","ror":"https://ror.org/004vbe783","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210086921"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Cristian Rossi","raw_affiliation_strings":["Satellite Applications Catapult"],"affiliations":[{"raw_affiliation_string":"Satellite Applications Catapult","institution_ids":["https://openalex.org/I4210086921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027626372","display_name":"David Petit","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Petit","raw_affiliation_strings":["Deimos Space"],"affiliations":[{"raw_affiliation_string":"Deimos Space","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100610993","display_name":"Sihan Li","orcid":"https://orcid.org/0000-0002-2479-8665"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sihan Li","raw_affiliation_strings":["University of Sheffield,Department of Geography","Department of Geography, University of Sheffield"],"affiliations":[{"raw_affiliation_string":"University of Sheffield,Department of Geography","institution_ids":["https://openalex.org/I91136226"]},{"raw_affiliation_string":"Department of Geography, University of Sheffield","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016152802","display_name":"Simon Dadson","orcid":"https://orcid.org/0000-0002-6144-4639"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon Dadson","raw_affiliation_strings":["University of Oxford School of Geography and the Environment"],"affiliations":[{"raw_affiliation_string":"University of Oxford School of Geography and the Environment","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5059184621"],"corresponding_institution_ids":["https://openalex.org/I40120149"],"apc_list":null,"apc_paid":null,"fwci":2.5535,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90610648,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4962","last_page":"4965"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":1.0,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10644","display_name":"Cryospheric studies and observations","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/landslide","display_name":"Landslide","score":0.9555788040161133},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.6380055546760559},{"id":"https://openalex.org/keywords/natural-disaster","display_name":"Natural disaster","score":0.6200230121612549},{"id":"https://openalex.org/keywords/preparedness","display_name":"Preparedness","score":0.5837392210960388},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5506651997566223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5235609412193298},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47633177042007446},{"id":"https://openalex.org/keywords/monsoon","display_name":"Monsoon","score":0.4731784164905548},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4526798129081726},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43547478318214417},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3748503625392914},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36794936656951904},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.31405550241470337},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2646101117134094},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.24386096000671387},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.21585074067115784}],"concepts":[{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.9555788040161133},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.6380055546760559},{"id":"https://openalex.org/C166566181","wikidata":"https://www.wikidata.org/wiki/Q8065","display_name":"Natural disaster","level":2,"score":0.6200230121612549},{"id":"https://openalex.org/C2777042776","wikidata":"https://www.wikidata.org/wiki/Q4583103","display_name":"Preparedness","level":2,"score":0.5837392210960388},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5506651997566223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5235609412193298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47633177042007446},{"id":"https://openalex.org/C136996986","wikidata":"https://www.wikidata.org/wiki/Q42967","display_name":"Monsoon","level":2,"score":0.4731784164905548},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4526798129081726},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43547478318214417},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3748503625392914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36794936656951904},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.31405550241470337},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2646101117134094},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.24386096000671387},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.21585074067115784},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss52108.2023.10283036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10283036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:ora.ox.ac.uk:uuid:4fe9db02-cad1-44f5-9d1a-9765147db56d","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symplectic Elements","raw_type":"http://purl.org/coar/resource_type/c_5794"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.7799999713897705,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2335591927","https://openalex.org/W2989839147","https://openalex.org/W3035144744","https://openalex.org/W3080729140","https://openalex.org/W4213060692","https://openalex.org/W4221122321","https://openalex.org/W4283163653"],"related_works":["https://openalex.org/W2389676928","https://openalex.org/W3169474304","https://openalex.org/W2369104181","https://openalex.org/W3201652628","https://openalex.org/W4212972401","https://openalex.org/W2389287188","https://openalex.org/W3081499580","https://openalex.org/W2615020820","https://openalex.org/W3106883776","https://openalex.org/W3036854282"],"abstract_inverted_index":{"Landslides":[0],"can":[1,22],"be":[2],"deadly":[3],"natural":[4],"disaster":[5,66],"events,":[6,40],"particularly":[7],"in":[8,65,97,132],"Nepal,":[9],"where":[10],"large":[11],"earthquakes":[12],"along":[13],"the":[14,30,45,53,73,95],"India-Asian":[15],"collision":[16],"zone":[17],"and":[18,41,50,60,79,102,110,124,137],"intense":[19],"Monsoon":[20],"rainfall":[21],"trigger":[23],"widespread":[24],"landslides.":[25],"The":[26],"complex":[27],"nature":[28],"of":[29,44,75,129],"landslide":[31,130],"causal":[32],"chain":[33],"makes":[34],"it":[35],"difficult":[36],"to":[37,71,91],"predict":[38,92],"these":[39],"existing":[42],"derivations":[43],"link":[46],"between":[47],"precipitation":[48,108],"thresholds":[49],"landslides":[51,93],"oversimplify":[52],"relationship,":[54],"do":[55],"not":[56],"provide":[57,116],"predictive":[58,127],"abilities,":[59],"therefore":[61],"limit":[62],"their":[63],"usefulness":[64],"preparedness.":[67],"This":[68],"paper":[69],"proposes":[70],"utilize":[72],"power":[74],"Machine":[76],"Learning":[77,81],"(ML)":[78],"Deep":[80],"(DL)":[82],"Artificial":[83],"Intelligence":[84],"(AI)":[85],"techniques":[86],"with":[87],"open-source,":[88],"space-based":[89],"data,":[90],"at":[94,99],"District-level":[96],"Nepal":[98,133],"7-,":[100],"10-,":[101],"14-day":[103],"temporal":[104],"resolutions,":[105],"using":[106,134],"calibrated":[107],"estimates":[109],"geomorphic":[111],"data":[112],"as":[113],"input.":[114],"Results":[115],"both":[117],"scientific":[118],"insight":[119],"via":[120],"feature":[121],"importance":[122],"analysis,":[123],"a":[125],"strong":[126],"capability":[128],"prediction":[131],"Random":[135],"Forest":[136],"U-Net":[138],"models.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}