{"id":"https://openalex.org/W4410340969","doi":"https://doi.org/10.1109/tgrs.2025.3569594","title":"CMDNet: A Cross-Modality Spatiotemporal Graph Network for Enhanced Air Pollution Prediction With High-Resolution Satellite Data","display_name":"CMDNet: A Cross-Modality Spatiotemporal Graph Network for Enhanced Air Pollution Prediction With High-Resolution Satellite Data","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410340969","doi":"https://doi.org/10.1109/tgrs.2025.3569594"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3569594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3569594","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/A5038735174","display_name":"Shun Wang","orcid":"https://orcid.org/0000-0003-0054-2523"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shun Wang","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, the Faculty of Information Technology, Beijing Artificial Intelligence Institute, Beijing University of Technology, Beijing, China","Beijing Artificial Intelligence Institute, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Information Science and Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, the Faculty of Information Technology, Beijing Artificial Intelligence Institute, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing Artificial Intelligence Institute, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Information Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070956153","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0001-6650-6790"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, the Faculty of Information Technology, Beijing Artificial Intelligence Institute, Beijing University of Technology, Beijing, China","Beijing Artificial Intelligence Institute, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Information Science and Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, the Faculty of Information Technology, Beijing Artificial Intelligence Institute, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing Artificial Intelligence Institute, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Information Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031270437","display_name":"Xuanqi Lin","orcid":"https://orcid.org/0009-0006-0401-2828"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanqi Lin","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, the Faculty of Information Technology, Beijing Artificial Intelligence Institute, Beijing University of Technology, Beijing, China","Beijing Artificial Intelligence Institute, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Information Science and Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, the Faculty of Information Technology, Beijing Artificial Intelligence Institute, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing Artificial Intelligence Institute, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Information Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027030083","display_name":"Xinglin Piao","orcid":"https://orcid.org/0000-0003-3774-5789"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinglin Piao","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, the Faculty of Information Technology, Beijing Artificial Intelligence Institute, Beijing University of Technology, Beijing, China","Beijing Artificial Intelligence Institute, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Information Science and Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, the Faculty of Information Technology, Beijing Artificial Intelligence Institute, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing Artificial Intelligence Institute, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Information Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027329007","display_name":"Yongli Hu","orcid":"https://orcid.org/0000-0003-0440-438X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongli Hu","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, the Faculty of Information Technology, Beijing Artificial Intelligence Institute, Beijing University of Technology, Beijing, China","Beijing Artificial Intelligence Institute, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Information Science and Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, the Faculty of Information Technology, Beijing Artificial Intelligence Institute, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing Artificial Intelligence Institute, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Information Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020527092","display_name":"Baocai Yin","orcid":"https://orcid.org/0000-0003-3121-1823"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baocai Yin","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, the Faculty of Information Technology, Beijing Artificial Intelligence Institute, Beijing University of Technology, Beijing, China","Beijing Artificial Intelligence Institute, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Information Science and Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, the Faculty of Information Technology, Beijing Artificial Intelligence Institute, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing Artificial Intelligence Institute, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Information Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5038735174"],"corresponding_institution_ids":["https://openalex.org/I37796252","https://openalex.org/I4210100255"],"apc_list":null,"apc_paid":null,"fwci":3.2029,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.91013985,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9926999807357788,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/satellite","display_name":"Satellite","score":0.6265466809272766},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6228395700454712},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5279577970504761},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.504731297492981},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4635182321071625},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.44047608971595764},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4349900186061859},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.42721980810165405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29524558782577515},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13786232471466064}],"concepts":[{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6265466809272766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6228395700454712},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5279577970504761},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.504731297492981},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4635182321071625},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.44047608971595764},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4349900186061859},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42721980810165405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29524558782577515},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13786232471466064},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3569594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3569594","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/G262158538","display_name":null,"funder_award_id":"4222021","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G6077705658","display_name":null,"funder_award_id":"2021ZD0111902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6212863906","display_name":null,"funder_award_id":"U21B2038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7500108037","display_name":null,"funder_award_id":"62472014","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"},{"id":"https://openalex.org/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2010742511","https://openalex.org/W2041471468","https://openalex.org/W2079794514","https://openalex.org/W2569143395","https://openalex.org/W2806915207","https://openalex.org/W2809035759","https://openalex.org/W2899742462","https://openalex.org/W2901504064","https://openalex.org/W2914487400","https://openalex.org/W2951123913","https://openalex.org/W2965341826","https://openalex.org/W2995533259","https://openalex.org/W2996847713","https://openalex.org/W3007845852","https://openalex.org/W3010758682","https://openalex.org/W3013537470","https://openalex.org/W3096846826","https://openalex.org/W3098448153","https://openalex.org/W3117573952","https://openalex.org/W3124650867","https://openalex.org/W3137682683","https://openalex.org/W3165533197","https://openalex.org/W3187695192","https://openalex.org/W3188891218","https://openalex.org/W3197700565","https://openalex.org/W3199514852","https://openalex.org/W3210946507","https://openalex.org/W4211232841","https://openalex.org/W4220709484","https://openalex.org/W4285164624","https://openalex.org/W4312298880","https://openalex.org/W4313201289","https://openalex.org/W4318066364","https://openalex.org/W4367595602","https://openalex.org/W4372211675","https://openalex.org/W4377079876","https://openalex.org/W4382318973","https://openalex.org/W4384303899","https://openalex.org/W4385555796","https://openalex.org/W4386034829","https://openalex.org/W4386830771","https://openalex.org/W4386918733","https://openalex.org/W4388936714","https://openalex.org/W4392877658","https://openalex.org/W4400909833"],"related_works":["https://openalex.org/W2385859805","https://openalex.org/W2530972254","https://openalex.org/W2374013449","https://openalex.org/W73545470","https://openalex.org/W2364381299","https://openalex.org/W2374430585","https://openalex.org/W3144423903","https://openalex.org/W2377397762","https://openalex.org/W2793967660","https://openalex.org/W2383151488"],"abstract_inverted_index":{"Predicting":[0],"air":[1,53,105,141,172,187],"pollution":[2,54,106,142,173,188],"plays":[3],"a":[4,96,113,121,146],"vital":[5],"role":[6],"in":[7,70,140,175],"urban":[8],"management":[9],"and":[10,20,38,49,120,207],"public":[11],"health":[12],"by":[13,86,144],"providing":[14,210],"early":[15],"warnings":[16],"on":[17,36,179],"PM2.5,":[18],"SO2,":[19],"NO2":[21],"concentrations,":[22],"helping":[23],"to":[24,43,170],"mitigate":[25],"the":[26,45,79,137,167],"adverse":[27],"effects":[28],"of":[29,52,58,81,198],"these":[30,72],"pollutants.":[31],"Traditional":[32],"prediction":[33,189,213],"methods,":[34,61],"relying":[35],"physical":[37],"statistical":[39],"models,":[40,194],"often":[41],"struggle":[42],"capture":[44],"complex":[46],"spatio-temporal":[47,115],"dependencies":[48,139],"dynamic":[50,114,125,130,147,154],"characteristics":[51],"data.":[55,89],"The":[56,108,129,150],"application":[57],"deep":[59],"learning":[60],"especially":[62],"graph":[63,116,132,148],"neural":[64,117,133],"networks":[65],"(GNNs),":[66],"has":[67],"shown":[68],"promise":[69],"addressing":[71],"limitations.":[73],"However,":[74],"existing":[75,192],"GNN-based":[76],"methods":[77],"ignore":[78],"integration":[80],"rich":[82],"semantic":[83,159],"information":[84,160],"provided":[85],"high-resolution":[87,162],"satellite":[88,163],"To":[90],"address":[91],"this":[92],"problem,":[93],"we":[94],"propose":[95],"Cross-Modality":[97],"Dynamic":[98],"Spatio-Temporal":[99],"Graph":[100],"Neural":[101],"Network":[102],"(CMDNet)":[103],"for":[104],"prediction.":[107],"model":[109],"comprises":[110],"two":[111],"branches:":[112],"network":[118,127,134,156],"branch":[119,135,157],"remote":[122,151],"sensing":[123,152],"image":[124,153],"encoding":[126,155],"branch.":[128],"spatiotemporal":[131,138],"captures":[136],"data":[143],"constructing":[145],"structure.":[149],"extracts":[158],"from":[161],"data,":[164],"which":[165],"improves":[166],"model\u2019s":[168],"power":[169],"perceive":[171],"conditions":[174],"different":[176],"regions.":[177],"Experiments":[178],"real-world":[180],"datasets":[181],"demonstrate":[182],"that":[183],"CMDNet":[184],"achieves":[185],"better":[186],"results":[190],"than":[191],"SOTA":[193],"with":[195],"maximum":[196],"improvements":[197],"2.4%":[199],"(MAE),":[200],"1.8%":[201],"(RMSE),":[202],"1.3%":[203],"(CSI),":[204],"1.6%":[205],"(FAR),":[206],"1.4%":[208],"(POD),":[209],"more":[211],"accurate":[212],"results.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}