{"id":"https://openalex.org/W4410808457","doi":"https://doi.org/10.1109/lgrs.2025.3574498","title":"Landsat LST Product Gap Filling Using the Multiple Features Ensemble Learning Model Caused by the Missing Emissivity Dataset","display_name":"Landsat LST Product Gap Filling Using the Multiple Features Ensemble Learning Model Caused by the Missing Emissivity Dataset","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410808457","doi":"https://doi.org/10.1109/lgrs.2025.3574498"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2025.3574498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3574498","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5005155482","display_name":"Jian Hui","orcid":"https://orcid.org/0000-0002-7414-4053"},"institutions":[{"id":"https://openalex.org/I4210151178","display_name":"System Simulation (United Kingdom)","ror":"https://ror.org/04gf6zh40","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210151178"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jian Hui","raw_affiliation_strings":["National Key Laboratory of Complex Aviation System Simulation, Southwest China Institute of Electronic Technology, Chengdu, China","National Key Laboratory of Complex Aviation System Simulation and Southwest China Institute of Electronic Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-7414-4053","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Complex Aviation System Simulation, Southwest China Institute of Electronic Technology, Chengdu, China","institution_ids":["https://openalex.org/I4210151178"]},{"raw_affiliation_string":"National Key Laboratory of Complex Aviation System Simulation and Southwest China Institute of Electronic Technology, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chen Qing","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151178","display_name":"System Simulation (United Kingdom)","ror":"https://ror.org/04gf6zh40","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210151178"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chen Qing","raw_affiliation_strings":["National Key Laboratory of Complex Aviation System Simulation, Southwest China Institute of Electronic Technology, Chengdu, China","National Key Laboratory of Complex Aviation System Simulation and Southwest China Institute of Electronic Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Complex Aviation System Simulation, Southwest China Institute of Electronic Technology, Chengdu, China","institution_ids":["https://openalex.org/I4210151178"]},{"raw_affiliation_string":"National Key Laboratory of Complex Aviation System Simulation and Southwest China Institute of Electronic Technology, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037665763","display_name":"Ling Luo","orcid":"https://orcid.org/0000-0002-0766-1325"},"institutions":[{"id":"https://openalex.org/I4210151178","display_name":"System Simulation (United Kingdom)","ror":"https://ror.org/04gf6zh40","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210151178"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ling Luo","raw_affiliation_strings":["National Key Laboratory of Complex Aviation System Simulation, Southwest China Institute of Electronic Technology, Chengdu, China","National Key Laboratory of Complex Aviation System Simulation and Southwest China Institute of Electronic Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Complex Aviation System Simulation, Southwest China Institute of Electronic Technology, Chengdu, China","institution_ids":["https://openalex.org/I4210151178"]},{"raw_affiliation_string":"National Key Laboratory of Complex Aviation System Simulation and Southwest China Institute of Electronic Technology, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103975653","display_name":"Yanhong Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhong Duan","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100348115","display_name":"Xin Ye","orcid":"https://orcid.org/0000-0002-7715-3529"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Ye","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7715-3529","affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005155482"],"corresponding_institution_ids":["https://openalex.org/I4210151178"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15480886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11333","display_name":"Climate change and permafrost","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11333","display_name":"Climate change and permafrost","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/emissivity","display_name":"Emissivity","score":0.7581659555435181},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.49462029337882996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48475950956344604},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4732133746147156},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4614151418209076},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4594472646713257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37718909978866577},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24467730522155762},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16575920581817627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14696192741394043},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07186725735664368},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06585496664047241}],"concepts":[{"id":"https://openalex.org/C163651212","wikidata":"https://www.wikidata.org/wiki/Q899670","display_name":"Emissivity","level":2,"score":0.7581659555435181},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.49462029337882996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48475950956344604},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4732133746147156},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4614151418209076},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4594472646713257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37718909978866577},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24467730522155762},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16575920581817627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14696192741394043},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07186725735664368},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06585496664047241},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3574498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3574498","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2401621004","display_name":null,"funder_award_id":"BYESS2023441","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G377635202","display_name":null,"funder_award_id":"42471397","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":28,"referenced_works":["https://openalex.org/W1990590197","https://openalex.org/W2019754483","https://openalex.org/W2087776137","https://openalex.org/W2301692565","https://openalex.org/W2509430868","https://openalex.org/W2791437969","https://openalex.org/W2807424345","https://openalex.org/W2811382599","https://openalex.org/W2884268504","https://openalex.org/W2904391595","https://openalex.org/W2991457291","https://openalex.org/W3007684847","https://openalex.org/W3083973700","https://openalex.org/W3115112955","https://openalex.org/W3117274757","https://openalex.org/W3126846248","https://openalex.org/W3129839903","https://openalex.org/W3155993469","https://openalex.org/W4207051504","https://openalex.org/W4229449022","https://openalex.org/W4285209480","https://openalex.org/W4293243124","https://openalex.org/W4312203760","https://openalex.org/W4382135553","https://openalex.org/W4385209026","https://openalex.org/W4388726190","https://openalex.org/W4398151431","https://openalex.org/W6745609711"],"related_works":["https://openalex.org/W2068804904","https://openalex.org/W2080140811","https://openalex.org/W2899172485","https://openalex.org/W2326191128","https://openalex.org/W4237339516","https://openalex.org/W1996544059","https://openalex.org/W2294087764","https://openalex.org/W2039406532","https://openalex.org/W2391376341","https://openalex.org/W2972846275"],"abstract_inverted_index":{"Land":[0],"surface":[1,7,119],"temperature":[2],"(LST)":[3],"is":[4,65,80,127,157,180],"an":[5,50,258],"important":[6,51],"physical":[8],"parameter":[9],"that":[10,235],"has":[11,48],"received":[12],"wide":[13],"attention":[14],"in":[15,92,167,244],"many":[16],"fields,":[17],"and":[18,59,125,141,171,218,249,300],"thermal":[19,208,266],"infrared":[20,267],"(TIR)":[21],"remote":[22,39,279,312],"sensing":[23,40,280,313],"technology":[24],"can":[25,239,271,292],"efficiently":[26],"obtain":[27,188],"large-scale":[28],"LST":[29,34,38,85,146,165,178,192,205,246,260,270,278,298,301,308],"information":[30],"based":[31,194,309],"on":[32,72,195,310],"the":[33,73,84,93,109,131,139,144,149,160,164,172,176,184,189,196,200,204,207,212,215,219,231,236,241,245,274,289],"retrieval":[35,261],"algorithms.":[36],"Various":[37],"products":[41,179,281],"are":[42,226],"available,":[43],"among":[44],"which":[45,79,107],"Landsat":[46,145],"data":[47,52,91,314],"formed":[49,66],"accumulation":[53],"with":[54],"its":[55,304],"long":[56],"time":[57],"series":[58],"high":[60],"spatial":[61,173,253],"resolution.":[62],"Since":[63],"it":[64],"by":[67,283],"a":[68,101,251],"single-channel":[69],"algorithm":[70,202,262],"relying":[71],"ASTER":[74],"Global":[75],"Emissivity":[76],"Dataset":[77],"(GED),":[78],"not":[81],"spatially":[82],"seamless,":[83],"product":[86,147,166,193,247],"also":[87,294],"suffers":[88],"from":[89,264],"missing":[90,135,161],"corresponding":[94],"emissivity":[95,136],"aperture":[96],"region.":[97],"In":[98,287],"this":[99],"study,":[100],"multiple":[102],"feature":[103,116],"reconstruction":[104],"(MFR)":[105],"method,":[106],"establishes":[108],"regression":[110],"relationship":[111],"between":[112],"three":[113],"types":[114],"of":[115,143,163,175,214,222,230,257,276],"parameters,":[117],"namely,":[118],"elevation,":[120],"reflectance":[121],"spectral,":[122],"solar":[123],"radiation,":[124],"LST,":[126],"developed":[128],"to":[129,134,137,159,182,187,269,296,306],"fill":[130,240],"gaps":[132],"due":[133],"improve":[138],"quality":[140],"availability":[142],"using":[148,206],"LightGBM":[150],"ensemble":[151],"learning":[152],"algorithm.":[153],"The":[154,228,255],"proposed":[155],"method":[156,238,291],"applied":[158,295],"regions":[162],"two":[168],"study":[169,224],"areas,":[170],"distribution":[174],"existing":[177],"utilized":[181],"match":[183],"filling":[185],"results":[186,221,229],"corrected":[190],"gap-filling":[191,220],"preliminary":[197],"results.":[198],"Besides,":[199],"split-window":[201],"retrieves":[203],"radiance":[209],"observed":[210],"at":[211],"top":[213],"atmosphere":[216],"(TOA),":[217],"both":[223],"areas":[225],"cross-validated.":[227],"accuracy":[232],"validation":[233],"indicate":[234],"MFR":[237,290],"vacant":[242],"positions":[243],"well":[248],"maintain":[250],"smooth":[252],"distribution.":[254],"development":[256],"end-to-end":[259],"directly":[263,272],"TOA":[265],"observations":[268],"avoid":[273],"occurrence":[275],"incomplete":[277],"caused":[282],"insufficient":[284],"auxiliary":[285],"parameters.":[286],"addition,":[288],"be":[293],"under-cloud":[297],"estimation":[299],"downscaling":[302],"utilizing":[303],"ability":[305],"characterize":[307],"other":[311],"sources.":[315]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}