{"id":"https://openalex.org/W3163894833","doi":"https://doi.org/10.1109/jstars.2021.3079196","title":"Landslide Detection Using Densely Connected Convolutional Networks and Environmental Conditions","display_name":"Landslide Detection Using Densely Connected Convolutional Networks and Environmental Conditions","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3163894833","doi":"https://doi.org/10.1109/jstars.2021.3079196","mag":"3163894833"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2021.3079196","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3079196","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09428612.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09428612.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009512302","display_name":"Haojie Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haojie Cai","raw_affiliation_strings":["Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063406632","display_name":"Tao Chen","orcid":"https://orcid.org/0000-0001-6965-1256"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Chen","raw_affiliation_strings":["Beijing Key Laboratory of Urban Spatial Information Engineering, Beijing, China","Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Urban Spatial Information Engineering, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063163226","display_name":"Ruiqing Niu","orcid":"https://orcid.org/0000-0002-0862-7890"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqing Niu","raw_affiliation_strings":["Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054292278","display_name":"Antonio Plaza","orcid":"https://orcid.org/0000-0002-9613-1659"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Plaza","raw_affiliation_strings":["Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, Escuela Polit\u00e9cnica, University of Extremadura, C\u00e1ceres, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, Escuela Polit\u00e9cnica, University of Extremadura, C\u00e1ceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009512302"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":25.3798,"has_fulltext":true,"cited_by_count":96,"citation_normalized_percentile":{"value":0.99632792,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"14","issue":null,"first_page":"5235","last_page":"5247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9878000020980835,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9646999835968018,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.8106720447540283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.624169111251831},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5538048148155212},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5024614334106445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45457786321640015},{"id":"https://openalex.org/keywords/cohens-kappa","display_name":"Cohen's kappa","score":0.43347132205963135},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.41602954268455505},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.333965927362442},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.30532318353652954},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21876487135887146},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.13578897714614868}],"concepts":[{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.8106720447540283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.624169111251831},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5538048148155212},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5024614334106445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45457786321640015},{"id":"https://openalex.org/C163864269","wikidata":"https://www.wikidata.org/wiki/Q1107106","display_name":"Cohen's kappa","level":2,"score":0.43347132205963135},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.41602954268455505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.333965927362442},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.30532318353652954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21876487135887146},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.13578897714614868},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2021.3079196","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3079196","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09428612.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:64bc35ec349c435c90906bf3748b496f","is_oa":true,"landing_page_url":"https://doaj.org/article/64bc35ec349c435c90906bf3748b496f","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 5235-5247 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2021.3079196","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3079196","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09428612.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3479671419","display_name":null,"funder_award_id":"62071439","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6195110959","display_name":null,"funder_award_id":"61871259","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G806913823","display_name":null,"funder_award_id":"61601418","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3163894833.pdf","grobid_xml":"https://content.openalex.org/works/W3163894833.grobid-xml"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W310439352","https://openalex.org/W639708223","https://openalex.org/W1026270304","https://openalex.org/W1235521117","https://openalex.org/W1665214252","https://openalex.org/W1932847118","https://openalex.org/W1970331803","https://openalex.org/W1983769347","https://openalex.org/W2012118327","https://openalex.org/W2017145427","https://openalex.org/W2028124403","https://openalex.org/W2028370714","https://openalex.org/W2034727283","https://openalex.org/W2043346691","https://openalex.org/W2044907109","https://openalex.org/W2058082754","https://openalex.org/W2063987149","https://openalex.org/W2071583081","https://openalex.org/W2077292227","https://openalex.org/W2078169166","https://openalex.org/W2083477678","https://openalex.org/W2105897869","https://openalex.org/W2115820600","https://openalex.org/W2116604985","https://openalex.org/W2122447387","https://openalex.org/W2149975284","https://openalex.org/W2167735388","https://openalex.org/W2168894214","https://openalex.org/W2194775991","https://openalex.org/W2203757945","https://openalex.org/W2251287417","https://openalex.org/W2304932561","https://openalex.org/W2414813772","https://openalex.org/W2472692635","https://openalex.org/W2511730936","https://openalex.org/W2527347850","https://openalex.org/W2538244214","https://openalex.org/W2549306400","https://openalex.org/W2578894852","https://openalex.org/W2604887866","https://openalex.org/W2611655888","https://openalex.org/W2613718673","https://openalex.org/W2621337712","https://openalex.org/W2739312572","https://openalex.org/W2753093605","https://openalex.org/W2765739551","https://openalex.org/W2789027062","https://openalex.org/W2809758875","https://openalex.org/W2810807595","https://openalex.org/W2909302730","https://openalex.org/W2912361013","https://openalex.org/W2915483120","https://openalex.org/W2919115771","https://openalex.org/W2947982909","https://openalex.org/W2950621961","https://openalex.org/W2960671912","https://openalex.org/W2963446712","https://openalex.org/W2963606038","https://openalex.org/W2967019526","https://openalex.org/W2989839147","https://openalex.org/W3001525167","https://openalex.org/W3008537971","https://openalex.org/W3056808037","https://openalex.org/W3081064176","https://openalex.org/W3089708040","https://openalex.org/W3091852895","https://openalex.org/W3111915298","https://openalex.org/W3120574494","https://openalex.org/W4285719527","https://openalex.org/W6626481562","https://openalex.org/W6637242042","https://openalex.org/W6684665197","https://openalex.org/W6738773544","https://openalex.org/W6741599537"],"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/W2950100253"],"abstract_inverted_index":{"A":[0],"complete":[1],"and":[2,11,25,41,71,122,138,143,152,161,172,178,187],"accurate":[3],"landslide":[4,9,29,58,82,86,112,199],"map":[5,114],"is":[6],"necessary":[7],"for":[8],"susceptibility":[10],"risk":[12],"assessment.":[13],"Currently,":[14],"deep":[15],"learning":[16,154],"faces":[17],"the":[18,34,47,62,81,92,101,104,111,117,126,129,134,158,166,176,182],"dilemma":[19],"of":[20,36,103,110,119,128,185],"insufficient":[21],"application,":[22],"scarce":[23],"samples,":[24],"poor":[26],"efficiency":[27],"in":[28,91,97,196],"recognition.":[30],"This":[31],"article":[32],"utilizes":[33],"advantages":[35],"dense":[37],"convolutional":[38],"networks":[39,151],"(DenseNets)":[40],"their":[42],"modified":[43],"technique":[44],"to":[45,99],"solve":[46],"three":[48,93],"proposed":[49,191],"problems.":[50],"For":[51],"this":[52],"purpose,":[53],"we":[54],"created":[55],"a":[56],"new":[57],"sample":[59],"library.":[60],"On":[61],"original":[63],"remote":[64],"sensing":[65],"image,":[66,136],"12":[67],"geological,":[68],"topographic,":[69],"hydrological":[70],"land":[72],"cover":[73],"factors":[74,121],"that":[75,116],"can":[76,124],"directly":[77],"or":[78],"indirectly":[79],"reflect":[80],"are":[83],"superimposed.":[84],"Then,":[85],"detection":[87,113,130],"was":[88],"carried":[89],"out":[90],"Gorges":[94],"reservoir":[95],"area":[96,198],"China":[98],"test":[100],"performance":[102],"improved":[105],"method.":[106],"The":[107,190],"quantitative":[108],"evaluation":[109],"shows":[115],"combination":[118],"environmental":[120],"DenseNet":[123,156],"improve":[125],"accuracy":[127],"model.":[131],"Compared":[132,146],"with":[133,147],"optical":[135],"kappa":[137,160,177],"F1":[139,162,179],"increased":[140],"by":[141],"9.7%":[142],"9.1%":[144],"respectively.":[145,189],"other":[148],"traditional":[149],"neural":[150],"machine":[153],"algorithms,":[155],"has":[157,193],"highest":[159,183],"values.":[163],"Based":[164],"on":[165],"base":[167],"Densenet,":[168],"through":[169],"data":[170],"augmentation":[171],"fine-tuning":[173],"optimization":[174],"technology,":[175],"values":[180,184],"reach":[181],"0.9474":[186],"0.9505,":[188],"method":[192],"promising":[194],"applicability":[195],"large":[197],"identification":[200],"scenarios.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":6}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}
