{"id":"https://openalex.org/W4410100259","doi":"https://doi.org/10.1080/17538947.2025.2499199","title":"DBPFNet: a double branch parallel fusion neural network method for land subsidence susceptibility mapping with InSAR observation data","display_name":"DBPFNet: a double branch parallel fusion neural network method for land subsidence susceptibility mapping with InSAR observation data","publication_year":2025,"publication_date":"2025-05-04","ids":{"openalex":"https://openalex.org/W4410100259","doi":"https://doi.org/10.1080/17538947.2025.2499199"},"language":"en","primary_location":{"id":"doi:10.1080/17538947.2025.2499199","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2025.2499199","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/17538947.2025.2499199","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100726635","display_name":"Yi He","orcid":"https://orcid.org/0000-0001-7419-6964"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi He","raw_affiliation_strings":["Gansu Provincial Key Laboratory of Science and Technology in Surveying & Mapping","Lanzhou Jiaotong University","National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gansu Provincial Key Laboratory of Science and Technology in Surveying & Mapping","institution_ids":[]},{"raw_affiliation_string":"Lanzhou Jiaotong University","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031025250","display_name":"Binghai Gao","orcid":"https://orcid.org/0009-0004-6015-3890"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binghai Gao","raw_affiliation_strings":["Lanzhou Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou Jiaotong University","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079461812","display_name":"Haowen Yan","orcid":"https://orcid.org/0000-0002-2792-3425"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haowen Yan","raw_affiliation_strings":["Gansu Provincial Key Laboratory of Science and Technology in Surveying & Mapping","Lanzhou Jiaotong University","National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gansu Provincial Key Laboratory of Science and Technology in Surveying & Mapping","institution_ids":[]},{"raw_affiliation_string":"Lanzhou Jiaotong University","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358790","display_name":"Qing Zhang","orcid":"https://orcid.org/0000-0002-1160-2715"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Zhang","raw_affiliation_strings":["Lanzhou Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou Jiaotong University","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334324","display_name":"Lifeng Zhang","orcid":"https://orcid.org/0000-0001-6125-7502"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifeng Zhang","raw_affiliation_strings":["Lanzhou Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou Jiaotong University","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024796451","display_name":"Wende Li","orcid":"https://orcid.org/0000-0003-0097-7308"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wende Li","raw_affiliation_strings":["Gansu Provincial Key Laboratory of Science and Technology in Surveying & Mapping","Lanzhou Jiaotong University","National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gansu Provincial Key Laboratory of Science and Technology in Surveying & Mapping","institution_ids":[]},{"raw_affiliation_string":"Lanzhou Jiaotong University","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103907576","display_name":"Xu He","orcid":null},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu He","raw_affiliation_strings":["Lanzhou Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou Jiaotong University","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107808739","display_name":"Jiangang Lu","orcid":"https://orcid.org/0009-0000-7432-8365"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangang Lu","raw_affiliation_strings":["Lanzhou Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou Jiaotong University","institution_ids":["https://openalex.org/I3133134087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100726635"],"corresponding_institution_ids":["https://openalex.org/I3133134087"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":{"value":2390,"currency":"USD","value_usd":2390},"fwci":18.3172,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.98672238,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"18","issue":"1","first_page":null,"last_page":null},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.993399977684021,"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/T10644","display_name":"Cryospheric studies and observations","score":0.9771999716758728,"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/interferometric-synthetic-aperture-radar","display_name":"Interferometric synthetic aperture radar","score":0.7331644296646118},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5083908438682556},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4961265027523041},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4712256193161011},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.46988725662231445},{"id":"https://openalex.org/keywords/subsidence","display_name":"Subsidence","score":0.46514737606048584},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4626992344856262},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4430699348449707},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.44059547781944275},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4280937910079956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3914627432823181},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3336293697357178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28765445947647095},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.21902430057525635},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.1616194248199463}],"concepts":[{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.7331644296646118},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5083908438682556},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4961265027523041},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4712256193161011},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.46988725662231445},{"id":"https://openalex.org/C180851071","wikidata":"https://www.wikidata.org/wiki/Q849953","display_name":"Subsidence","level":3,"score":0.46514737606048584},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4626992344856262},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4430699348449707},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.44059547781944275},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4280937910079956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3914627432823181},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3336293697357178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28765445947647095},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.21902430057525635},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.1616194248199463},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"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:10.1080/17538947.2025.2499199","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2025.2499199","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0450f28edd554e9ca85e734e1adf9f5f","is_oa":true,"landing_page_url":"https://doaj.org/article/0450f28edd554e9ca85e734e1adf9f5f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Digital Earth, Vol 18, Iss 1 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/17538947.2025.2499199","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2025.2499199","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G5179948538","display_name":null,"funder_award_id":"23JRRA881","funder_id":"https://openalex.org/F4320325927","funder_display_name":"Science and Technology Department of Gansu Province"},{"id":"https://openalex.org/G7708828613","display_name":null,"funder_award_id":"42201459","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G911632576","display_name":null,"funder_award_id":"2025RCXM012","funder_id":"https://openalex.org/F4320325927","funder_display_name":"Science and Technology Department of Gansu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325927","display_name":"Science and Technology Department of Gansu Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1254374974","https://openalex.org/W1968114652","https://openalex.org/W1978678445","https://openalex.org/W2025494752","https://openalex.org/W2064675550","https://openalex.org/W2097762029","https://openalex.org/W2112796928","https://openalex.org/W2152657318","https://openalex.org/W2158698691","https://openalex.org/W2341489499","https://openalex.org/W2519715104","https://openalex.org/W2566586514","https://openalex.org/W2589398271","https://openalex.org/W2784722532","https://openalex.org/W2888380393","https://openalex.org/W2892746236","https://openalex.org/W2934304630","https://openalex.org/W2946260711","https://openalex.org/W2964189737","https://openalex.org/W2964393055","https://openalex.org/W2972688355","https://openalex.org/W3011400958","https://openalex.org/W3023777614","https://openalex.org/W3024478886","https://openalex.org/W3025439369","https://openalex.org/W3162187165","https://openalex.org/W3165860514","https://openalex.org/W3180748560","https://openalex.org/W3196798967","https://openalex.org/W4210370436","https://openalex.org/W4211011291","https://openalex.org/W4226236267","https://openalex.org/W4280499369","https://openalex.org/W4281490181","https://openalex.org/W4282963401","https://openalex.org/W4283398863","https://openalex.org/W4289236186","https://openalex.org/W4289521607","https://openalex.org/W4313408177","https://openalex.org/W4313452650","https://openalex.org/W4316511189","https://openalex.org/W4318482952","https://openalex.org/W4319080423","https://openalex.org/W4323313177","https://openalex.org/W4366528395","https://openalex.org/W4376873489","https://openalex.org/W4379511989","https://openalex.org/W4382134398","https://openalex.org/W4382358252","https://openalex.org/W4382999147","https://openalex.org/W4384205884","https://openalex.org/W4386214162","https://openalex.org/W4387616537","https://openalex.org/W4387623833","https://openalex.org/W4389836317","https://openalex.org/W4389862008","https://openalex.org/W4391992354","https://openalex.org/W4392947426","https://openalex.org/W4396954545","https://openalex.org/W4399976316","https://openalex.org/W4401247244"],"related_works":["https://openalex.org/W2127359929","https://openalex.org/W3202939839","https://openalex.org/W2113346282","https://openalex.org/W2132659060","https://openalex.org/W2374921833","https://openalex.org/W2130313420","https://openalex.org/W2031992971","https://openalex.org/W2367032543","https://openalex.org/W2365547495","https://openalex.org/W4294237504"],"abstract_inverted_index":{"Current":[0],"machine":[1],"learning":[2],"methods":[3],"for":[4,91],"land":[5,17,78,172],"subsidence":[6,18,79,173],"susceptibility":[7,157],"mapping":[8],"(LSSM)":[9],"predominantly":[10,160],"focus":[11],"on":[12],"the":[13,23,29,74,129,135,163,175],"spatial":[14,62,102,117],"features":[15,63,120],"of":[16,31,148,166],"conditioning":[19],"factors":[20,170],"(LSCFs),":[21],"overlooking":[22],"sequence":[24,60,114,119],"relationships":[25],"that":[26,134],"merger":[27],"after":[28],"superposition":[30],"these":[32],"factors.":[33],"This":[34],"often":[35],"leads":[36],"to":[37,64,99,111,127],"unreliable":[38],"LSSM":[39,66,153],"results.":[40],"To":[41],"address":[42],"this":[43,45],"limitation,":[44],"paper":[46],"proposes":[47],"a":[48],"novel":[49],"double-branch":[50],"parallel":[51],"fusion":[52],"neural":[53,94],"network,":[54],"termed":[55],"DBPFNet,":[56],"which":[57],"integrates":[58],"multi-factor":[59,101,113],"and":[61,86,118,143,184],"improve":[65],"accuracy.":[67],"The":[68,116,155],"Beijing":[69,167],"Plain":[70],"is":[71,97,109],"selected":[72],"as":[73,83],"study":[75,176],"area.":[76],"InSAR-derived":[77],"data":[80],"are":[81,89,121,159],"used":[82,110],"positive":[84],"samples,":[85],"12":[87],"LSCFs":[88],"chosen":[90],"analysis.":[92],"Convolutional":[93],"network":[95],"(CNN)":[96],"employed":[98],"learn":[100,112],"features,":[103],"while":[104],"long":[105],"short-term":[106],"memory":[107],"(LSTM)":[108],"features.":[115],"fuzed":[122],"by":[123],"two":[124],"full":[125],"connections":[126],"generate":[128],"LSSM.":[130],"Experimental":[131],"results":[132],"demonstrate":[133],"proposed":[136],"DBPFNet":[137],"model":[138],"significantly":[139],"outperforms":[140],"CNN,":[141],"LSTM":[142],"transformer":[144],"models":[145],"in":[146,162,174],"terms":[147],"performance,":[149],"yielding":[150],"highly":[151],"accurate":[152],"result.":[154],"high":[156],"areas":[158],"located":[161],"central":[164],"region":[165],"Plain.":[168],"Key":[169],"influencing":[171],"area":[177],"include":[178],"groundwater,":[179],"altitude,":[180],"build":[181],"density,":[182],"precipitation":[183],"river":[185],"density.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
