{"id":"https://openalex.org/W4387653430","doi":"https://doi.org/10.3390/rs15204971","title":"Updated Global Navigation Satellite System Observations and Attention-Based Convolutional Neural Network\u2013Long Short-Term Memory Network Deep Learning Algorithms to Predict Landslide Spatiotemporal Displacement","display_name":"Updated Global Navigation Satellite System Observations and Attention-Based Convolutional Neural Network\u2013Long Short-Term Memory Network Deep Learning Algorithms to Predict Landslide Spatiotemporal Displacement","publication_year":2023,"publication_date":"2023-10-15","ids":{"openalex":"https://openalex.org/W4387653430","doi":"https://doi.org/10.3390/rs15204971"},"language":"en","primary_location":{"id":"doi:10.3390/rs15204971","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15204971","pdf_url":"https://www.mdpi.com/2072-4292/15/20/4971/pdf?version=1697357377","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/2072-4292/15/20/4971/pdf?version=1697357377","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101831937","display_name":"Beibei Yang","orcid":"https://orcid.org/0000-0002-6188-6963"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Beibei Yang","raw_affiliation_strings":["School of Civil Engineering, Yantai University, Yantai 264005, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Yantai University, Yantai 264005, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100663637","display_name":"Zizheng Guo","orcid":"https://orcid.org/0000-0002-9847-2596"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zizheng Guo","raw_affiliation_strings":["School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China"],"affiliations":[{"raw_affiliation_string":"School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049099959","display_name":"Luqi Wang","orcid":"https://orcid.org/0000-0001-5108-250X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luqi Wang","raw_affiliation_strings":["School of Civil Engineering, Chongqing University, Chongqing 400044, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Chongqing University, Chongqing 400044, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056741076","display_name":"Jun He","orcid":"https://orcid.org/0000-0003-4189-2474"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun He","raw_affiliation_strings":["School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China"],"affiliations":[{"raw_affiliation_string":"School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104183143","display_name":"Bingqi Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingqi Xia","raw_affiliation_strings":["School of Civil Engineering, Yantai University, Yantai 264005, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Yantai University, Yantai 264005, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093066453","display_name":"Sayedehtahereh Vakily","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sayedehtahereh Vakily","raw_affiliation_strings":["School of Civil, Environmental, and Land Management Engineering, Politecnico di Milano University, 20133 Milano, Italy"],"affiliations":[{"raw_affiliation_string":"School of Civil, Environmental, and Land Management Engineering, Politecnico di Milano University, 20133 Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100663637"],"corresponding_institution_ids":["https://openalex.org/I184843921"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":6.2952,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.95945334,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"15","issue":"20","first_page":"4971","last_page":"4971"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":1.0,"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":1.0,"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":0.9828000068664551,"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/T11046","display_name":"Geotechnical Engineering and Analysis","score":0.9587000012397766,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7403997182846069},{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.6903858184814453},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5876140594482422},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5283539891242981},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.4842109680175781},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47441667318344116},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4431179463863373},{"id":"https://openalex.org/keywords/gnss-applications","display_name":"GNSS applications","score":0.4377662241458893},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4345695674419403},{"id":"https://openalex.org/keywords/satellite-system","display_name":"Satellite system","score":0.431352823972702},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14102256298065186},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.13384202122688293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7403997182846069},{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.6903858184814453},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5876140594482422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5283539891242981},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.4842109680175781},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47441667318344116},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4431179463863373},{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.4377662241458893},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4345695674419403},{"id":"https://openalex.org/C2778027091","wikidata":"https://www.wikidata.org/wiki/Q25346003","display_name":"Satellite system","level":4,"score":0.431352823972702},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14102256298065186},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.13384202122688293},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs15204971","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15204971","pdf_url":"https://www.mdpi.com/2072-4292/15/20/4971/pdf?version=1697357377","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:14880160829c4c4c90218dee20b59135","is_oa":true,"landing_page_url":"https://doaj.org/article/14880160829c4c4c90218dee20b59135","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 20, p 4971 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs15204971","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15204971","pdf_url":"https://www.mdpi.com/2072-4292/15/20/4971/pdf?version=1697357377","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":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G1249035284","display_name":null,"funder_award_id":"42307248","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G1880386336","display_name":null,"funder_award_id":"China Scholarship Council (CSC)","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2300736770","display_name":null,"funder_award_id":"(CSC)","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G266193799","display_name":null,"funder_award_id":"D2022202005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G427313743","display_name":null,"funder_award_id":"D2022202005","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G4962756345","display_name":null,"funder_award_id":"ZR2021QD032","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5306782587","display_name":null,"funder_award_id":"202005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6543343072","display_name":null,"funder_award_id":"ZR2021QD032","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G6950394706","display_name":null,"funder_award_id":"42307248","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7307246317","display_name":null,"funder_award_id":"42307248","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G8472859545","display_name":null,"funder_award_id":"ZR2021QD032","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G8589651859","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G8961514824","display_name":null,"funder_award_id":"D2022202005","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387653430.pdf"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1534373011","https://openalex.org/W1565746575","https://openalex.org/W1982239205","https://openalex.org/W2019370496","https://openalex.org/W2064675550","https://openalex.org/W2074772891","https://openalex.org/W2122710056","https://openalex.org/W2137611024","https://openalex.org/W2191091808","https://openalex.org/W2293349767","https://openalex.org/W2754129725","https://openalex.org/W2769043789","https://openalex.org/W2787962265","https://openalex.org/W2884585870","https://openalex.org/W2898170120","https://openalex.org/W2898318094","https://openalex.org/W2900348361","https://openalex.org/W2910183581","https://openalex.org/W2950260163","https://openalex.org/W2950568498","https://openalex.org/W2954393874","https://openalex.org/W2962949934","https://openalex.org/W2969685114","https://openalex.org/W2972534151","https://openalex.org/W2982569617","https://openalex.org/W3013874315","https://openalex.org/W3021965769","https://openalex.org/W3028363395","https://openalex.org/W3036022063","https://openalex.org/W3044636903","https://openalex.org/W3082129780","https://openalex.org/W3112315548","https://openalex.org/W3129838958","https://openalex.org/W3186061382","https://openalex.org/W3198612789","https://openalex.org/W3210878344","https://openalex.org/W3212386989","https://openalex.org/W4210493428","https://openalex.org/W4211177084","https://openalex.org/W4213035291","https://openalex.org/W4245444932","https://openalex.org/W4250534264","https://openalex.org/W4283163653","https://openalex.org/W4283750094","https://openalex.org/W4284671606","https://openalex.org/W4286434225","https://openalex.org/W4294100819","https://openalex.org/W4306692357","https://openalex.org/W4315490424","https://openalex.org/W4319458932","https://openalex.org/W4319594516","https://openalex.org/W4319985389","https://openalex.org/W4323351152","https://openalex.org/W4324030620","https://openalex.org/W4361215574","https://openalex.org/W4377088900","https://openalex.org/W4382809718","https://openalex.org/W4385606706","https://openalex.org/W4386416642","https://openalex.org/W6631190155","https://openalex.org/W6849151592"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2606296569","https://openalex.org/W2375040471","https://openalex.org/W2068158190","https://openalex.org/W2916802843","https://openalex.org/W2064660797","https://openalex.org/W2951211570"],"abstract_inverted_index":{"Landslide":[0],"displacement":[1,53,203,337],"prediction":[2,100,135,142],"has":[3],"garnered":[4],"significant":[5,238,352],"recognition":[6],"as":[7,25,186],"a":[8,50,103,133,140,173,187,208,261,343,351],"pivotal":[9],"component":[10],"in":[11,164,231,303],"realizing":[12],"successful":[13],"early":[14],"warnings":[15],"and":[16,78,108,117,139,175,214,285,296,335,350],"implementing":[17],"effective":[18],"control":[19],"measures.":[20],"This":[21,328],"task":[22],"remains":[23],"challenging":[24],"landslide":[26,51,163,177,256,348,356],"deformation":[27,332],"involves":[28],"not":[29],"only":[30],"temporal":[31,79,118,191],"dependency":[32],"within":[33,44,81,227,253],"time":[34],"series":[35],"data":[36,84],"but":[37,321],"also":[38],"spatial":[39,77,116,218],"dependence":[40],"across":[41,249,325],"various":[42],"regions":[43],"landslides.":[45],"The":[46,66,161,190,217,240,299],"present":[47],"study":[48],"proposes":[49],"spatiotemporal":[52,64,96,336],"forecasting":[54,154],"model":[55,101,136,143,243,301],"by":[56,172,272],"introducing":[57],"attention-based":[58,158,241],"deep":[59],"learning":[60],"algorithms":[61],"based":[62],"on":[63,93,196],"analysis.":[65],"Maximal":[67],"Information":[68],"Coefficient":[69],"(MIC)":[70],"approach":[71],"is":[72,184],"employed":[73],"to":[74,114,126,151,204,354],"quantify":[75],"the":[76,82,94,98,128,145,153,157,165,197,228,232,254],"correlations":[80],"daily":[83,202],"of":[85,156,200,211,234,265,269,347],"Global":[86],"Navigation":[87],"Satellite":[88],"System":[89],"(GNSS)":[90],"observations.":[91],"Based":[92],"quantitative":[95,331],"analysis,":[97],"proposed":[99,300],"combines":[102],"convolutional":[104],"neural":[105],"network":[106,113],"(CNN)":[107],"long":[109],"short-term":[110],"memory":[111],"(LSTM)":[112],"capture":[115],"dependencies":[119],"individually.":[120],"Spatial\u2013temporal":[121],"attention":[122,149],"mechanisms":[123],"are":[124],"implemented":[125],"optimize":[127],"model.":[129,160],"Additionally,":[130],"we":[131],"develop":[132],"single-point":[134],"using":[137,144],"LSTM":[138],"multiple-point":[141],"CNN-LSTM":[146,159,242],"without":[147],"an":[148,180,245],"mechanism":[150],"compare":[152],"capabilities":[155],"Outang":[162,255],"Three":[166],"Gorges":[167],"Reservoir":[168],"Area":[169],"(TGRA),":[170],"characterized":[171],"large":[174],"active":[176],"equipped":[178],"with":[179],"advanced":[181],"monitoring":[182,251,309],"system,":[183],"taken":[185],"studied":[188],"case.":[189],"MIC":[192,219],"results":[193,220],"shed":[194],"light":[195],"response":[198],"times":[199],"monitored":[201],"external":[205],"factors,":[206],"showing":[207],"lagging":[209],"duration":[210],"between":[212],"10":[213],"50":[215],"days.":[216],"indicate":[221],"mutual":[222],"influence":[223],"among":[224],"different":[225],"locations":[226],"landslide,":[229],"particularly":[230],"case":[233],"nearby":[235],"sites":[236],"experiencing":[237],"deformation.":[239],"demonstrates":[244],"impressive":[246],"predictive":[247],"performance":[248,316,324],"six":[250,308],"stations":[252,320],"area.":[257],"Notably,":[258],"it":[259],"achieves":[260],"remarkable":[262],"maximum":[263],"coefficient":[264],"determination":[266],"(R2)":[267],"value":[268],"0.9989,":[270],"accompanied":[271],"minimum":[273],"values":[274],"for":[275,342],"root":[276],"mean":[277,282,286],"squared":[278],"error":[279,283,289],"(RMSE),":[280],"absolute":[281,287],"(MAE),":[284],"percentage":[288],"(MAPE),":[290],"specifically,":[291],"1.18":[292],"mm,":[293,295],"0.99":[294],"0.33%,":[297],"respectively.":[298],"excels":[302],"predicting":[304],"displacements":[305],"at":[306,317],"all":[307,326],"points,":[310],"whereas":[311],"other":[312],"models":[313],"demonstrate":[314],"strong":[315],"specific":[318],"individual":[319],"lack":[322],"consistent":[323],"stations.":[327],"study,":[329],"involving":[330],"characteristics":[333],"analysis":[334],"prediction,":[338],"holds":[339],"promising":[340],"potential":[341],"more":[344],"profound":[345],"understanding":[346],"evolution":[349],"contribution":[353],"reducing":[355],"risk.":[357]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
