{"id":"https://openalex.org/W4407806811","doi":"https://doi.org/10.1109/tgrs.2025.3643985","title":"Daily Land Surface Temperature Reconstruction in Landsat Cross-Track Areas Using Deep Ensemble Learning With Uncertainty Quantification","display_name":"Daily Land Surface Temperature Reconstruction in Landsat Cross-Track Areas Using Deep Ensemble Learning With Uncertainty Quantification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407806811","doi":"https://doi.org/10.1109/tgrs.2025.3643985","pmid":"https://pubmed.ncbi.nlm.nih.gov/41496875"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3643985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3643985","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":"preprint","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2502.14433","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Shengjie Liu","orcid":"https://orcid.org/0000-0003-0253-7410"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shengjie Liu","raw_affiliation_strings":["Spatial Sciences Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0253-7410","affiliations":[{"raw_affiliation_string":"Spatial Sciences Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080526022","display_name":"Siqin Wang","orcid":"https://orcid.org/0000-0003-3601-7827"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siqin Wang","raw_affiliation_strings":["Spatial Sciences Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Spatial Sciences Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lu Zhang","orcid":"https://orcid.org/0000-0001-6829-703X"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lu Zhang","raw_affiliation_strings":["Department of Population and Public Health Sciences, Division of Biostatistics and Health Data Science, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":"https://orcid.org/0000-0001-6829-703X","affiliations":[{"raw_affiliation_string":"Department of Population and Public Health Sciences, Division of Biostatistics and Health Data Science, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":5.7329,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.95768667,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11333","display_name":"Climate change and permafrost","score":0.9940000176429749,"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":0.9940000176429749,"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"}},{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9894000291824341,"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"}},{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9848999977111816,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.6064656972885132},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5668778419494629},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5495221018791199},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4935342073440552},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48277583718299866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36028987169265747},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3440892994403839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.332112193107605},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2907228171825409}],"concepts":[{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.6064656972885132},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5668778419494629},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5495221018791199},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4935342073440552},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48277583718299866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36028987169265747},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3440892994403839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.332112193107605},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2907228171825409},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tgrs.2025.3643985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3643985","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"},{"id":"pmid:41496875","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41496875","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:2502.14433","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.14433","pdf_url":"https://arxiv.org/pdf/2502.14433","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pubmedcentral.nih.gov:12768511","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12768511/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Geosci Remote Sens","raw_type":"Text"},{"id":"doi:10.48550/arxiv.2502.14433","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2502.14433","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2502.14433","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.14433","pdf_url":"https://arxiv.org/pdf/2502.14433","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G156819270","display_name":null,"funder_award_id":"P30ES007048","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2789518417","https://openalex.org/W4213217485","https://openalex.org/W2566545183","https://openalex.org/W2499449816","https://openalex.org/W2059085722","https://openalex.org/W3124943098","https://openalex.org/W4308112567","https://openalex.org/W3162132941"],"abstract_inverted_index":{"Many":[0],"real-world":[1],"applications":[2,193],"rely":[3],"on":[4],"land":[5],"surface":[6],"temperature":[7,64],"(LST)":[8],"data":[9,34,50,91,239],"at":[10,35,233,243],"high":[11,31,234],"spatiotemporal":[12,235],"resolution.":[13,236],"In":[14],"complex":[15,74,218,230],"urban":[16,75,219],"areas,":[17,224],"LST":[18,72,121,150,158,176,195,213],"exhibits":[19],"significant":[20],"variations,":[21],"fluctuating":[22],"dramatically":[23],"within":[24,221],"and":[25,66,81,105,132,189,208,238],"across":[26],"city":[27],"blocks.":[28],"Landsat":[29,71,85,212,222],"provides":[30,205],"spatial":[32],"resolution":[33],"100":[36],"meters":[37],"but":[38],"is":[39],"limited":[40],"by":[41],"long":[42],"revisit":[43],"time,":[44],"with":[45],"cloud":[46],"cover":[47],"further":[48,89,154],"disrupting":[49],"collection.":[51],"Here,":[52],"we":[53,88],"propose":[54],"DELAG,":[55],"a":[56,206],"deep":[57],"ensemble":[58],"learning":[59],"method":[60,210],"that":[61,117,148],"integrates":[62],"annual":[63],"cycles":[65],"Gaussian":[67],"processes,":[68],"to":[69,93,140,159,171],"reconstruct":[70],"in":[73,122],"areas.":[76,114],"Leveraging":[77],"the":[78,123,156,184,191],"cross-track":[79,223],"characteristics":[80],"dual-satellite":[82],"operation":[83],"of":[84,194],"since":[86],"2021,":[87],"enhance":[90],"availability":[92],"4":[94],"scenes":[95],"every":[96],"16":[97],"days.":[98],"We":[99,153],"select":[100],"New":[101],"York":[102],"City,":[103],"London":[104],"Hong":[106],"Kong":[107],"from":[108,174],"three":[109,124],"different":[110],"continents":[111],"as":[112],"study":[113,203],"Experiments":[115],"show":[116],"DELAG":[118,144,188],"successfully":[119],"reconstructed":[120,157],"cities":[125],"under":[126],"clear-sky":[127,175],"(RMSE":[128,134,166,177],"=":[129,135,167,178],"0.73-0.96":[130],"K)":[131,137,169],"heavily-cloudy":[133],"0.84-1.62":[136],"situations,":[138],"superior":[139],"existing":[141],"methods.":[142],"Additionally,":[143],"can":[145],"quantify":[146],"uncertainty":[147],"enhances":[149],"reconstruction":[151,186,196],"reliability.":[152],"tested":[155],"estimate":[160],"near-surface":[161],"air":[162,200],"temperature,":[163],"achieving":[164],"results":[165,182],"1.48-2.11":[168],"comparable":[170],"those":[172],"derived":[173],"1.63-2.02":[179],"K).":[180],"The":[181],"demonstrate":[183],"successful":[185],"through":[187],"highlight":[190],"broader":[192],"for":[197,211,217],"estimating":[198],"accurate":[199],"temperature.":[201],"Our":[202],"thus":[204],"novel":[207],"practical":[209],"reconstruction,":[214],"particularly":[215],"suited":[216],"areas":[220],"taking":[225],"one":[226],"step":[227],"toward":[228],"addressing":[229],"climate":[231],"events":[232],"Code":[237],"will":[240],"be":[241],"available":[242],"skrisliu.com/delag.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-26T08:31:28.666265","created_date":"2025-02-22T00:00:00"}
