{"id":"https://openalex.org/W4414955896","doi":"https://doi.org/10.1109/tgrs.2025.3619062","title":"LMHLD: A Large-Scale Multisource High-Resolution Landslide Dataset for Landslide Detection Based on Deep Learning","display_name":"LMHLD: A Large-Scale Multisource High-Resolution Landslide Dataset for Landslide Detection Based on Deep Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414955896","doi":"https://doi.org/10.1109/tgrs.2025.3619062"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3619062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3619062","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5075219294","display_name":"Guanting Liu","orcid":"https://orcid.org/0000-0003-2308-0085"},"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":"Guanting Liu","raw_affiliation_strings":["School of Feature Technology, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Feature Technology, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364886","display_name":"Yi Wang","orcid":"https://orcid.org/0000-0002-1347-7030"},"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":"Yi Wang","raw_affiliation_strings":["School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-1347-7030","affiliations":[{"raw_affiliation_string":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329994","display_name":"Xi Chen","orcid":"https://orcid.org/0000-0002-8609-5391"},"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":"Xi Chen","raw_affiliation_strings":["School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100529221","display_name":"Baoyu Du","orcid":"https://orcid.org/0000-0002-7210-0815"},"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":"Baoyu Du","raw_affiliation_strings":["School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038274762","display_name":"Penglei Li","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":false,"raw_author_name":"Penglei Li","raw_affiliation_strings":["School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077604527","display_name":"Guowu Yuan","orcid":"https://orcid.org/0000-0002-8449-6861"},"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":"Yuan Wu","raw_affiliation_strings":["School of Feature Technology, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Feature Technology, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003527491","display_name":"Zhice Fang","orcid":"https://orcid.org/0000-0003-4414-8712"},"institutions":[{"id":"https://openalex.org/I4210091706","display_name":"Henan Academy of Sciences","ror":"https://ror.org/00hy87220","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210091706"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhice Fang","raw_affiliation_strings":["Aerospace Information Research Institute, Henan Academy of Science, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Henan Academy of Science, Zhengzhou, China","institution_ids":["https://openalex.org/I4210091706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081486308","display_name":"Peifeng Ma","orcid":"https://orcid.org/0000-0002-1457-5388"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Peifeng Ma","raw_affiliation_strings":["Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong","Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-1457-5388","affiliations":[{"raw_affiliation_string":"Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30794768,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9991999864578247,"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":0.9991999864578247,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9496999979019165,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.9143999814987183},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.593500018119812},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46790000796318054},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.43220001459121704},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4092000126838684},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.38929998874664307}],"concepts":[{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.9143999814987183},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6140000224113464},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.593500018119812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.574400007724762},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46790000796318054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4323999881744385},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.43220001459121704},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4092000126838684},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.38929998874664307},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.37070000171661377},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3488999903202057},{"id":"https://openalex.org/C39410599","wikidata":"https://www.wikidata.org/wiki/Q3433179","display_name":"Natural hazard","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.32249999046325684},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.30309998989105225},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2849999964237213},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27140000462532043},{"id":"https://openalex.org/C166566181","wikidata":"https://www.wikidata.org/wiki/Q8065","display_name":"Natural disaster","level":2,"score":0.26570001244544983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3619062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3619062","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7663523707","display_name":null,"funder_award_id":"U21A2013","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1987097445","https://openalex.org/W2021866405","https://openalex.org/W2058082754","https://openalex.org/W2061940746","https://openalex.org/W2084714794","https://openalex.org/W2134702142","https://openalex.org/W2134955829","https://openalex.org/W2147555471","https://openalex.org/W2395611524","https://openalex.org/W2560647685","https://openalex.org/W2574174109","https://openalex.org/W2588237346","https://openalex.org/W2604528050","https://openalex.org/W2787091153","https://openalex.org/W2884436604","https://openalex.org/W2903119292","https://openalex.org/W2903546516","https://openalex.org/W2907750714","https://openalex.org/W2946622133","https://openalex.org/W2953129827","https://openalex.org/W3003882269","https://openalex.org/W3014641072","https://openalex.org/W3015788359","https://openalex.org/W3033110441","https://openalex.org/W3036476585","https://openalex.org/W3047392236","https://openalex.org/W3081064176","https://openalex.org/W3081930112","https://openalex.org/W3127751679","https://openalex.org/W3129499542","https://openalex.org/W3159400131","https://openalex.org/W3166945484","https://openalex.org/W4200108305","https://openalex.org/W4205925639","https://openalex.org/W4213060692","https://openalex.org/W4226051717","https://openalex.org/W4245289321","https://openalex.org/W4281707042","https://openalex.org/W4281925866","https://openalex.org/W4285013815","https://openalex.org/W4309338076","https://openalex.org/W4313493371","https://openalex.org/W4318681845","https://openalex.org/W4320730649","https://openalex.org/W4322753249","https://openalex.org/W4378385830","https://openalex.org/W4380767811","https://openalex.org/W4384296880","https://openalex.org/W4385365176","https://openalex.org/W4390086901","https://openalex.org/W4390266095","https://openalex.org/W4390499842","https://openalex.org/W4392607662","https://openalex.org/W4400489042","https://openalex.org/W4403098130","https://openalex.org/W4403742557","https://openalex.org/W4408408180"],"related_works":[],"abstract_inverted_index":{"Landslides":[0],"are":[1,41],"among":[2],"the":[3,54,68,101,150,161,181,200,228],"most":[4],"common":[5],"natural":[6],"disasters":[7],"globally,":[8],"posing":[9],"significant":[10],"threats":[11],"to":[12,25,183],"human":[13],"society.":[14],"In":[15],"recent":[16],"years,":[17],"deep":[18],"learning":[19],"(DL)":[20],"has":[21,180],"been":[22],"widely":[23],"applied":[24],"rapid":[26],"landslide":[27,35,39,60,115,189,205,214],"detection":[28,40],"tasks.":[29],"However,":[30],"large-scale,":[31],"multi-area,":[32],"and":[33,59,111,163,207,216,223],"multi-sensor":[34],"datasets":[36,47],"for":[37,137,188,196,213],"DL":[38,71,166,197,203],"still":[42],"relatively":[43],"scarce.":[44],"Most":[45],"existing":[46],"adopt":[48],"a":[49,79,124,144,185,193,210],"fixed":[50],"patch":[51,135],"size,":[52],"overlooking":[53],"variations":[55],"in":[56,62,174,204],"spatial":[57],"resolution":[58],"scale":[61],"remote":[63,88],"sensing":[64,89],"images,":[65],"thereby":[66,159],"limiting":[67],"performance":[69],"of":[70,108,153,165,202],"models.":[72],"To":[73],"address":[74],"these":[75],"limitations,":[76],"we":[77,122,142,172],"construct":[78],"Large-scale":[80],"Multi-source":[81],"High-resolution":[82],"Landslide":[83],"Dataset":[84],"(LMHLD).":[85],"LMHLD":[86,103,179,191,219],"collects":[87],"images":[90],"from":[91],"five":[92],"different":[93,138],"satellite":[94],"sensors,":[95],"covering":[96],"seven":[97],"study":[98,139],"areas":[99],"around":[100],"world.":[102],"comprises":[104],"25,365":[105],"image":[106],"patches":[107],"varying":[109],"sizes":[110,136],"includes":[112],"32,296":[113],"annotated":[114],"instances":[116],"across":[117],"diverse":[118],"geographical":[119],"environments.":[120],"Additionally,":[121],"propose":[123],"Semi-Adaptive":[125],"Patch":[126],"Size":[127],"Selection":[128],"method":[129],"(SAPSS),":[130],"which":[131,148],"adaptively":[132],"selects":[133],"optimal":[134],"areas.":[140],"Furthermore,":[141],"design":[143],"training":[145],"module,":[146],"LMHLDpart,":[147],"enables":[149],"seamless":[151],"integration":[152],"multiple":[154],"heterogeneous":[155],"sub-datasets":[156],"within":[157],"LMHLD,":[158],"enhancing":[160],"flexibility":[162],"robustness":[164],"models":[167],"trained":[168],"on":[169],"LMHLD.":[170],"Finally,":[171],"demonstrated":[173],"four":[175],"evaluation":[176],"experiments":[177],"that":[178],"potential":[182],"become":[184],"benchmark":[186],"dataset":[187],"detection.":[190],"provides":[192],"strong":[194],"foundation":[195],"models,":[198],"accelerates":[199],"development":[201],"detection,":[206],"serves":[208],"as":[209],"valuable":[211],"resource":[212],"prevention":[215],"mitigation":[217],"efforts.":[218],"is":[220],"open":[221],"access":[222],"can":[224],"be":[225],"accessed":[226],"through":[227],"link:":[229],"https://doi.org/10.5281/zenodo.11424987.":[230]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}