{"id":"https://openalex.org/W7104000988","doi":"https://doi.org/10.1109/tgrs.2025.3629378","title":"Multiscale Integration of Spatially Dense InSAR Data and Temporally Intensive GNSS Data Enhances Landslide Displacement Prediction","display_name":"Multiscale Integration of Spatially Dense InSAR Data and Temporally Intensive GNSS Data Enhances Landslide Displacement Prediction","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7104000988","doi":"https://doi.org/10.1109/tgrs.2025.3629378"},"language":null,"primary_location":{"id":"doi:10.1109/tgrs.2025.3629378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3629378","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":null,"display_name":"Qianru Ding","orcid":"https://orcid.org/0009-0009-3369-5551"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210094336","display_name":"Hubei Water Resources Research Institute","ror":"https://ror.org/007amws38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianru Ding","raw_affiliation_strings":["State Key Laboratory of Water Resources Engineering and Management and the Institute of Water Engineering Sciences, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0009-3369-5551","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Water Resources Engineering and Management and the Institute of Water Engineering Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210094336","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gang Ma","orcid":"https://orcid.org/0000-0002-1865-5721"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210094336","display_name":"Hubei Water Resources Research Institute","ror":"https://ror.org/007amws38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Ma","raw_affiliation_strings":["State Key Laboratory of Water Resources Engineering and Management and the Institute of Water Engineering Sciences, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-1865-5721","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Water Resources Engineering and Management and the Institute of Water Engineering Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210094336","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chengqian Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210094336","display_name":"Hubei Water Resources Research Institute","ror":"https://ror.org/007amws38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengqian Guo","raw_affiliation_strings":["State Key Laboratory of Water Resources Engineering and Management and the Institute of Water Engineering Sciences, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Water Resources Engineering and Management and the Institute of Water Engineering Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210094336","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hua Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Chen","raw_affiliation_strings":["School of Geodesy and Geomatics, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geodesy and Geomatics, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fudong Chi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fudong Chi","raw_affiliation_strings":["Technology Research and Development Center, Huaneng Lancang River Hydropower Inc., Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technology Research and Development Center, Huaneng Lancang River Hydropower Inc., Kunming, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210094336","display_name":"Hubei Water Resources Research Institute","ror":"https://ror.org/007amws38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["State Key Laboratory of Water Resources Engineering and Management and the Institute of Water Engineering Sciences, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Water Resources Engineering and Management and the Institute of Water Engineering Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210094336","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiaolin Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210094336","display_name":"Hubei Water Resources Research Institute","ror":"https://ror.org/007amws38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Chang","raw_affiliation_strings":["State Key Laboratory of Water Resources Engineering and Management and the Institute of Water Engineering Sciences, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Water Resources Engineering and Management and the Institute of Water Engineering Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210094336","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5235,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88523283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.6902999877929688,"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":0.6902999877929688,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.26269999146461487,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.007300000172108412,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gnss-applications","display_name":"GNSS applications","score":0.828000009059906},{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.7103999853134155},{"id":"https://openalex.org/keywords/interferometric-synthetic-aperture-radar","display_name":"Interferometric synthetic aperture radar","score":0.7093999981880188},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.5013999938964844},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.39320001006126404},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.3853999972343445},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.36910000443458557}],"concepts":[{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.828000009059906},{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.7103999853134155},{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.7093999981880188},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5453000068664551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.534600019454956},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.5013999938964844},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.47029998898506165},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39559999108314514},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.39320001006126404},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3853999972343445},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.37130001187324524},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.36910000443458557},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3578000068664551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3571000099182129},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.33480000495910645},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3319000005722046},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32280001044273376},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3140999972820282},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2867000102996826},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2653000056743622}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3629378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3629378","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/G2280328148","display_name":null,"funder_award_id":"U2340232","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3651539323","display_name":null,"funder_award_id":"U23B20149","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4083214248","display_name":null,"funder_award_id":"52579134","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5766125870","display_name":null,"funder_award_id":"52322907","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6044721401","display_name":null,"funder_award_id":"52179141","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8465652019","display_name":null,"funder_award_id":"HNKJ23-H24","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G849249513","display_name":null,"funder_award_id":"HNKJ23-H1","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W585358051","https://openalex.org/W1904560478","https://openalex.org/W1930420631","https://openalex.org/W1955475984","https://openalex.org/W1974049233","https://openalex.org/W1977412936","https://openalex.org/W1991359975","https://openalex.org/W2025494752","https://openalex.org/W2036289459","https://openalex.org/W2047029664","https://openalex.org/W2064675550","https://openalex.org/W2082827703","https://openalex.org/W2152657318","https://openalex.org/W2165700458","https://openalex.org/W2416270265","https://openalex.org/W2582562066","https://openalex.org/W2587566521","https://openalex.org/W2766314745","https://openalex.org/W2887342164","https://openalex.org/W2901504064","https://openalex.org/W2910183581","https://openalex.org/W2911302579","https://openalex.org/W2965341826","https://openalex.org/W2972854536","https://openalex.org/W2994094541","https://openalex.org/W3034681945","https://openalex.org/W3109074851","https://openalex.org/W3159928446","https://openalex.org/W3160904278","https://openalex.org/W3214205642","https://openalex.org/W4210779195","https://openalex.org/W4213035291","https://openalex.org/W4213192855","https://openalex.org/W4224260004","https://openalex.org/W4281692595","https://openalex.org/W4282916026","https://openalex.org/W4283163653","https://openalex.org/W4284671606","https://openalex.org/W4285260294","https://openalex.org/W4285736036","https://openalex.org/W4308547940","https://openalex.org/W4310790298","https://openalex.org/W4313532623","https://openalex.org/W4316037202","https://openalex.org/W4320186831","https://openalex.org/W4321350787","https://openalex.org/W4327980498","https://openalex.org/W4360827674","https://openalex.org/W4366981465","https://openalex.org/W4382809718","https://openalex.org/W4389233632","https://openalex.org/W4390086901","https://openalex.org/W4391918666","https://openalex.org/W4392347524","https://openalex.org/W4394013503","https://openalex.org/W4394580317","https://openalex.org/W4396611931","https://openalex.org/W4397296301","https://openalex.org/W4399391968","https://openalex.org/W4400580621","https://openalex.org/W4402978709","https://openalex.org/W4403447290","https://openalex.org/W4403675484","https://openalex.org/W4404421999","https://openalex.org/W4410359271"],"related_works":[],"abstract_inverted_index":{"Landslides":[0],"pose":[1],"significant":[2],"threats":[3],"to":[4,12,38,83,97,139],"human":[5],"life,":[6],"property,":[7],"and":[8,16,24,46,64,77,100,129,157,166,204,217],"critical":[9],"infrastructure.":[10],"Due":[11],"complex":[13],"landslide":[14,27,40,66,142,211,221],"dynamics":[15],"the":[17,57,85,89,135,149,153,158,173,187,202],"lack":[18],"of":[19,56,124,155,160,172,206],"high-quality":[20],"monitoring":[21,48,184,197,208],"data,":[22,185],"timely":[23],"accurately":[25,167],"predicting":[26],"displacement":[28,41,143,169,212],"remains":[29,191],"challenging.":[30],"This":[31],"study":[32],"proposes":[33],"a":[34,79,119,215],"deep":[35,120],"learning":[36,121],"model":[37,122,151,178,190],"predict":[39],"by":[42,103],"integrating":[43],"multi-scale":[44,90],"InSAR":[45,50,101],"GNSS":[47,60,75,99],"data.":[49],"technique":[51,61],"provides":[52],"high-density":[53],"surface":[54],"measurements":[55],"landslide,":[58],"while":[59,186],"captures":[62],"high-precision":[63],"real-time":[65],"dynamics.":[67],"We":[68],"first":[69],"extract":[70],"temporal":[71],"features":[72,106],"from":[73],"high-frequency":[74],"data":[76,102,209],"build":[78],"heterogeneous":[80],"spatial":[81],"network":[82],"represent":[84],"topological":[86,116,177],"relationship":[87],"between":[88],"datasets.":[91],"Two":[92],"alternative":[93],"strategies":[94],"are":[95],"developed":[96],"fuse":[98],"updating":[104],"node":[105],"(attribute":[107],"augmented":[108,189],"model)":[109],"or":[110,195],"reshaping":[111],"graph":[112,125,176],"edge":[113],"relationships":[114],"(graph":[115],"model).":[117],"Then,":[118],"composed":[123],"convolutional":[126],"networks":[127],"(GCNs)":[128],"gated":[130],"recurrent":[131],"units":[132],"(GRUs)":[133],"leverages":[134],"integrated":[136],"global":[137],"information":[138],"deliver":[140],"high\u2011precision":[141],"prediction.":[144],"Experimental":[145],"results":[146],"show":[147],"that":[148],"proposed":[150],"achieves":[152],"MAE":[154],"0.014":[156],"MAPE":[159],"7.8":[161],"%,":[162],"outperforming":[163],"single\u2011source":[164],"models":[165],"simulating":[168],"fluctuation":[170],"signals":[171],"landslide.":[174],"The":[175],"excels":[179],"with":[180],"stable,":[181],"strongly":[182],"correlated":[183],"attribute":[188],"robust":[192,216],"under":[193],"weaker":[194],"fluctuating":[196],"correlations.":[198],"These":[199],"findings":[200],"underscore":[201],"necessity":[203],"feasibility":[205],"multi-source":[207],"in":[210],"prediction,":[213],"providing":[214],"scalable":[218],"framework":[219],"for":[220],"disaster":[222],"prevention.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-15T23:13:30.683059","created_date":"2025-11-06T00:00:00"}