{"id":"https://openalex.org/W4366287759","doi":"https://doi.org/10.3390/rs15082126","title":"An Improved Multi-Source Data-Driven Landslide Prediction Method Based on Spatio-Temporal Knowledge Graph","display_name":"An Improved Multi-Source Data-Driven Landslide Prediction Method Based on Spatio-Temporal Knowledge Graph","publication_year":2023,"publication_date":"2023-04-17","ids":{"openalex":"https://openalex.org/W4366287759","doi":"https://doi.org/10.3390/rs15082126"},"language":"en","primary_location":{"id":"doi:10.3390/rs15082126","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15082126","pdf_url":"https://www.mdpi.com/2072-4292/15/8/2126/pdf?version=1681786952","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/2072-4292/15/8/2126/pdf?version=1681786952","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075057687","display_name":"Luanjie Chen","orcid":"https://orcid.org/0000-0001-9728-9602"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luanjie Chen","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100049, China","College of Resources and Environment (CRE), University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"College of Resources and Environment (CRE), University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062853294","display_name":"Xingtong Ge","orcid":"https://orcid.org/0000-0001-7603-2832"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingtong Ge","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100049, China","College of Resources and Environment (CRE), University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"College of Resources and Environment (CRE), University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101949286","display_name":"Lina Yang","orcid":"https://orcid.org/0000-0001-5272-050X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lina Yang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100049, China","College of Resources and Environment (CRE), University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"College of Resources and Environment (CRE), University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100637377","display_name":"Weichao Li","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weichao Li","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016136911","display_name":"Ling Peng","orcid":"https://orcid.org/0000-0002-6535-477X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Peng","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100049, China","College of Resources and Environment (CRE), University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"College of Resources and Environment (CRE), University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101949286"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199","https://openalex.org/I4210165038"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":11.7511,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.98333207,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"15","issue":"8","first_page":"2126","last_page":"2126"},"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9901000261306763,"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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.967199981212616,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/computer-science","display_name":"Computer science","score":0.8070366978645325},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7778347730636597},{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.5847309231758118},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.548586368560791},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5120342373847961},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.506618857383728},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5035364031791687},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.46368899941444397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4135437607765198},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.08372524380683899},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.0782727301120758}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8070366978645325},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7778347730636597},{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.5847309231758118},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.548586368560791},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5120342373847961},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.506618857383728},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5035364031791687},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.46368899941444397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4135437607765198},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.08372524380683899},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0782727301120758},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15082126","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15082126","pdf_url":"https://www.mdpi.com/2072-4292/15/8/2126/pdf?version=1681786952","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:cdb4eca9b81d442e81f66fc7951114e4","is_oa":true,"landing_page_url":"https://doaj.org/article/cdb4eca9b81d442e81f66fc7951114e4","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 15, Iss 8, p 2126 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/8/2126/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15082126","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 15; Issue 8; Pages: 2126","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15082126","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15082126","pdf_url":"https://www.mdpi.com/2072-4292/15/8/2126/pdf?version=1681786952","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":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4366287759.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1715730942","https://openalex.org/W1982623886","https://openalex.org/W1989750313","https://openalex.org/W2045181013","https://openalex.org/W2049684331","https://openalex.org/W2061940746","https://openalex.org/W2073018583","https://openalex.org/W2080512919","https://openalex.org/W2088252378","https://openalex.org/W2103540160","https://openalex.org/W2119988181","https://openalex.org/W2167423485","https://openalex.org/W2587950680","https://openalex.org/W2592340788","https://openalex.org/W2740924709","https://openalex.org/W2776890924","https://openalex.org/W2783350994","https://openalex.org/W2885399723","https://openalex.org/W2905650747","https://openalex.org/W2906593901","https://openalex.org/W2911964244","https://openalex.org/W2939592887","https://openalex.org/W2944159562","https://openalex.org/W2971060441","https://openalex.org/W2972535098","https://openalex.org/W2981581709","https://openalex.org/W3037121381","https://openalex.org/W3038206524","https://openalex.org/W3164656968","https://openalex.org/W3188524028","https://openalex.org/W3206337481","https://openalex.org/W4210851291","https://openalex.org/W4239510810","https://openalex.org/W4246695531","https://openalex.org/W4285167290","https://openalex.org/W4286434177","https://openalex.org/W4293228022","https://openalex.org/W4304890454","https://openalex.org/W4361199841","https://openalex.org/W6684806322"],"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":{"Landslides":[0],"pose":[1],"a":[2,59,88,98,108],"significant":[3],"threat":[4],"to":[5],"human":[6],"lives":[7],"and":[8,15,30,49,58,92,102,118,168],"property,":[9],"making":[10],"the":[11,22,44,66,126,133,136,179,193,213,223],"development":[12,214],"of":[13,25,46,70,135,195,215],"accurate":[14],"reliable":[16],"landslide":[17,36,83,217],"prediction":[18,37,61,72,84,121,197],"methods":[19,38],"essential.":[20],"With":[21],"rapid":[23],"advancement":[24],"multi-source":[26,54,81,114],"remote":[27,33,55,115],"sensing":[28,34,56,116],"techniques":[29],"machine":[31,93,103,139,157],"learning,":[32],"data-driven":[35,82,216],"have":[39],"attracted":[40],"increasing":[41],"attention.":[42],"However,":[43],"lack":[45],"an":[47,79,161,169],"effective":[48],"efficient":[50],"paradigm":[51],"for":[52,142],"organizing":[53],"data":[57,117,202,228],"unified":[60,120],"workflow":[62,190],"often":[63],"results":[64,151],"in":[65,145,163,171,183,204,221],"weak":[67],"generalization":[68],"ability":[69],"existing":[71],"models.":[73,95],"In":[74],"this":[75],"paper,":[76],"we":[77,106,186],"propose":[78],"improved":[80],"method":[85,155,208],"based":[86],"on":[87],"spatio-temporal":[89,99],"knowledge":[90,100],"graph":[91,101],"learning":[94,104,140,158],"By":[96],"combining":[97],"models,":[105],"establish":[107],"framework":[109],"that":[110,153,188],"can":[111,191],"effectively":[112],"organize":[113],"generate":[119],"workflows.":[122],"Our":[123],"approach":[124],"considers":[125],"environmental":[127],"similarity":[128],"between":[129],"different":[130],"areas,":[131],"enabling":[132],"selection":[134],"most":[137],"adaptive":[138],"model":[141],"predicting":[143],"landslides":[144],"areas":[146],"with":[147],"scarce":[148],"samples.":[149],"Experimental":[150],"show":[152],"our":[154,189],"outperforms":[156],"methods,":[159,219],"achieving":[160],"increase":[162],"F1":[164],"score":[165],"by":[166,174,177,200,226],"29%":[167],"improvement":[170],"processing":[172],"efficiency":[173],"93%.":[175],"Furthermore,":[176],"comparing":[178],"susceptibility":[180],"maps":[181],"generated":[182],"real":[184],"scenarios,":[185],"found":[187],"alleviate":[192],"problem":[194],"poor":[196],"performance":[198],"caused":[199],"limited":[201,227],"availability":[203],"county-level":[205],"predictions.":[206],"This":[207],"provides":[209],"new":[210],"insights":[211],"into":[212],"evaluation":[218],"particularly":[220],"addressing":[222],"challenges":[224],"posed":[225],"availability.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2023-04-20T00:00:00"}