{"id":"https://openalex.org/W4391450237","doi":"https://doi.org/10.3390/rs16030566","title":"Seismic Landslide Susceptibility Assessment Using Newmark Displacement Based on a Dual-Channel Convolutional Neural Network","display_name":"Seismic Landslide Susceptibility Assessment Using Newmark Displacement Based on a Dual-Channel Convolutional Neural Network","publication_year":2024,"publication_date":"2024-02-01","ids":{"openalex":"https://openalex.org/W4391450237","doi":"https://doi.org/10.3390/rs16030566"},"language":"en","primary_location":{"id":"doi:10.3390/rs16030566","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16030566","pdf_url":"https://www.mdpi.com/2072-4292/16/3/566/pdf?version=1706787664","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/3/566/pdf?version=1706787664","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100773031","display_name":"Yan Li","orcid":"https://orcid.org/0000-0001-9909-1675"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["School of Information Engineering, China University of Geosciences Beijing, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, China University of Geosciences Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025493288","display_name":"Dongping Ming","orcid":"https://orcid.org/0000-0002-3422-7399"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongping Ming","raw_affiliation_strings":["Frontiers Science Center for Deep-Time Digital Earth, China University of Geosciences Beijing, Beijing 100083, China","Key Laboratory of Intraplate Volcanoes and Earthquakes, China University of Geosciences Beijing, Ministry of Education, Beijing 100083, China","School of Information Engineering, China University of Geosciences Beijing, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"Frontiers Science Center for Deep-Time Digital Earth, China University of Geosciences Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I3125743391"]},{"raw_affiliation_string":"Key Laboratory of Intraplate Volcanoes and Earthquakes, China University of Geosciences Beijing, Ministry of Education, Beijing 100083, China","institution_ids":["https://openalex.org/I3125743391"]},{"raw_affiliation_string":"School of Information Engineering, China University of Geosciences Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425194","display_name":"Liang Zhang","orcid":"https://orcid.org/0000-0002-2836-1356"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhang","raw_affiliation_strings":["School of Information Engineering, China University of Geosciences Beijing, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, China University of Geosciences Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072948664","display_name":"Yunyun Niu","orcid":"https://orcid.org/0000-0002-3405-3317"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunyun Niu","raw_affiliation_strings":["School of Information Engineering, China University of Geosciences Beijing, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, China University of Geosciences Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100760184","display_name":"Yangyang Chen","orcid":"https://orcid.org/0000-0001-9349-4246"},"institutions":[{"id":"https://openalex.org/I2799486974","display_name":"China Geological Survey","ror":"https://ror.org/04wtq2305","country_code":"CN","type":"other","lineage":["https://openalex.org/I2799486974"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyang Chen","raw_affiliation_strings":["China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China","institution_ids":["https://openalex.org/I2799486974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5025493288"],"corresponding_institution_ids":["https://openalex.org/I3125743391"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":9.6118,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.97613302,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"16","issue":"3","first_page":"566","last_page":"566"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9998999834060669,"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":0.9998999834060669,"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/T11046","display_name":"Geotechnical Engineering and Analysis","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T12729","display_name":"Tree Root and Stability Studies","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5976470708847046},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.534395158290863},{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.5247200727462769},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4826693832874298},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.47729527950286865},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.3257739543914795},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.30431556701660156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.27817752957344055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18774589896202087}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5976470708847046},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.534395158290863},{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.5247200727462769},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4826693832874298},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.47729527950286865},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.3257739543914795},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.30431556701660156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.27817752957344055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18774589896202087},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16030566","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16030566","pdf_url":"https://www.mdpi.com/2072-4292/16/3/566/pdf?version=1706787664","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e59b27e90d734b92984948517361e110","is_oa":true,"landing_page_url":"https://doaj.org/article/e59b27e90d734b92984948517361e110","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 3, p 566 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16030566","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16030566","pdf_url":"https://www.mdpi.com/2072-4292/16/3/566/pdf?version=1706787664","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391450237.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1964194978","https://openalex.org/W2007347132","https://openalex.org/W2021851084","https://openalex.org/W2031950708","https://openalex.org/W2041454289","https://openalex.org/W2057039778","https://openalex.org/W2166095666","https://openalex.org/W2239859944","https://openalex.org/W2299165651","https://openalex.org/W2589052052","https://openalex.org/W2797541404","https://openalex.org/W2946897158","https://openalex.org/W2969198272","https://openalex.org/W2969352830","https://openalex.org/W2999729702","https://openalex.org/W3014235965","https://openalex.org/W3018999748","https://openalex.org/W3033772434","https://openalex.org/W3044360060","https://openalex.org/W3048285196","https://openalex.org/W3127903661","https://openalex.org/W3140178999","https://openalex.org/W3143009190","https://openalex.org/W3154456184","https://openalex.org/W3194762287","https://openalex.org/W3212936243","https://openalex.org/W4206643270","https://openalex.org/W4211069037","https://openalex.org/W4221069208","https://openalex.org/W4224280152","https://openalex.org/W4226490104","https://openalex.org/W4286632247","https://openalex.org/W4293729909","https://openalex.org/W4313652524","https://openalex.org/W4318817650","https://openalex.org/W4324066804","https://openalex.org/W4365149389","https://openalex.org/W4380789074","https://openalex.org/W4385840460","https://openalex.org/W4386475964","https://openalex.org/W6684047206","https://openalex.org/W6842649349"],"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/W70668483","https://openalex.org/W2885606342","https://openalex.org/W3106883776","https://openalex.org/W2388969307"],"abstract_inverted_index":{"Landslide":[0],"susceptibility":[1,210,237,253],"assessment":[2],"(LSA)":[3],"is":[4,17,28,52,59],"an":[5],"essential":[6],"tool":[7],"for":[8,19,259],"landslide":[9,76,89,131,209,224],"hazard":[10],"warning.":[11],"The":[12,105,165,212,226,241],"selection":[13],"of":[14,38,71,207,219,228,262],"earthquake-related":[15,32,100,114],"factors":[16,115],"pivotal":[18],"seismic":[20,39,128,263],"LSA.":[21],"In":[22],"this":[23],"study,":[24],"Newmark":[25],"displacement":[26],"(Dn)":[27],"employed":[29],"as":[30,117],"the":[31,42,55,69,134,137,149,151,163,172,175,188,205,208,222,232],"factor,":[33],"providing":[34,255],"a":[35,45,216,250,256],"detailed":[36],"representation":[37],"characteristics.":[40],"On":[41],"algorithmic":[43],"side,":[44],"dual-channel":[46],"convolutional":[47],"neural":[48],"network":[49],"(CNN)":[50],"model":[51],"built,":[53],"and":[54,99,122,142,156,180,193,235],"last":[56],"classification":[57],"layer":[58],"replaced":[60],"with":[61,221],"two":[62],"machine":[63],"learning":[64],"(ML)":[65],"models":[66],"to":[67,75,148,162,186,199],"facilitate":[68],"extraction":[70],"deeper":[72],"features":[73],"related":[74],"development.":[77,132],"This":[78],"research":[79],"focuses":[80],"on":[81,130],"Beichuan":[82],"County":[83],"in":[84,126,231],"Sichuan":[85],"Province,":[86],"China.":[87],"Fifteen":[88],"predisposing":[90],"factors,":[91],"including":[92],"hydrological,":[93],"geomorphic,":[94],"geological,":[95],"vegetation":[96],"cover,":[97],"anthropogenic,":[98],"features,":[101],"were":[102],"extensively":[103],"collected.":[104],"results":[106],"demonstrate":[107],"some":[108],"specific":[109],"issues.":[110],"Dn":[111],"outperforms":[112,168],"conventional":[113],"such":[116],"peak":[118],"ground":[119],"acceleration":[120],"(PGA)":[121],"Arias":[123],"intensity":[124],"(Ia)":[125],"capturing":[127],"influence":[129],"Under":[133,171],"same":[135,173],"conditions,":[136,174],"OA":[138,152,176,189],"improved":[139,144,153,158,166,177,182,190,195],"by":[140,145,154,159,178,183,191,196],"5.55%":[141],"AUC":[143,157,181,194],"0.055":[146],"compared":[147,161,185,198],"PGA;":[150],"3.2%":[155],"0.0327":[160],"Ia.":[164],"CNN":[167],"ML":[169],"models.":[170],"4.69%":[179],"0.0467":[184],"RF;":[187],"4.47%":[192],"0.0447":[197],"SVM.":[200],"Additionally,":[201],"historical":[202,223,229],"landslides":[203,230],"validate":[204],"reasonableness":[206],"maps.":[211],"proposed":[213],"method":[214,242],"exhibits":[215],"high":[217,234,236],"rate":[218],"overlap":[220],"inventory.":[225],"proportion":[227],"very":[233],"zones":[238],"exceeds":[239],"87%.":[240],"not":[243],"only":[244],"enhances":[245],"accuracy":[246],"but":[247],"also":[248],"produces":[249],"more":[251],"fine-grained":[252],"map,":[254],"reliable":[257],"basis":[258],"early":[260],"warning":[261],"landslides.":[264]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}