{"id":"https://openalex.org/W2888916943","doi":"https://doi.org/10.3390/rs10091382","title":"\u201cRegression-then-Fusion\u201d or \u201cFusion-then-Regression\u201d? A Theoretical Analysis for Generating High Spatiotemporal Resolution Land Surface Temperatures","display_name":"\u201cRegression-then-Fusion\u201d or \u201cFusion-then-Regression\u201d? A Theoretical Analysis for Generating High Spatiotemporal Resolution Land Surface Temperatures","publication_year":2018,"publication_date":"2018-08-30","ids":{"openalex":"https://openalex.org/W2888916943","doi":"https://doi.org/10.3390/rs10091382","mag":"2888916943"},"language":"en","primary_location":{"id":"doi:10.3390/rs10091382","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10091382","pdf_url":"https://www.mdpi.com/2072-4292/10/9/1382/pdf?version=1535632695","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/2072-4292/10/9/1382/pdf?version=1535632695","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101426849","display_name":"Haiping Xia","orcid":"https://orcid.org/0009-0008-2396-1038"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiping Xia","raw_affiliation_strings":["State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100716311","display_name":"Yunhao Chen","orcid":"https://orcid.org/0000-0001-7926-7303"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunhao Chen","raw_affiliation_strings":["State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"raw_orcid":"https://orcid.org/0000-0001-7926-7303","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039380491","display_name":"Yutong Zhao","orcid":"https://orcid.org/0000-0001-6604-9315"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutong Zhao","raw_affiliation_strings":["State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081695336","display_name":"Zixuan Chen","orcid":"https://orcid.org/0009-0004-4534-455X"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixuan Chen","raw_affiliation_strings":["State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100716311"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.2921,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.77798642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"9","first_page":"1382","last_page":"1382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9998999834060669,"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/T10766","display_name":"Urban Heat Island Mitigation","score":0.9998999834060669,"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/T11333","display_name":"Climate change and permafrost","score":0.991100013256073,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9896000027656555,"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/fusion","display_name":"Fusion","score":0.646734356880188},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.6347498297691345},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.533798098564148},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5282033085823059},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5001256465911865},{"id":"https://openalex.org/keywords/vnir","display_name":"VNIR","score":0.48377177119255066},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4613499641418457},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4335654675960541},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4057299494743347},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3909394145011902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17845410108566284},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16754895448684692},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15594875812530518},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12612831592559814},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11786338686943054},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08473938703536987}],"concepts":[{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.646734356880188},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6347498297691345},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.533798098564148},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5282033085823059},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5001256465911865},{"id":"https://openalex.org/C5457282","wikidata":"https://www.wikidata.org/wiki/Q7907352","display_name":"VNIR","level":3,"score":0.48377177119255066},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4613499641418457},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4335654675960541},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4057299494743347},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3909394145011902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17845410108566284},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16754895448684692},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15594875812530518},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12612831592559814},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11786338686943054},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08473938703536987},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs10091382","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10091382","pdf_url":"https://www.mdpi.com/2072-4292/10/9/1382/pdf?version=1535632695","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:6f54658be7ac4872bd14ef6ca0bb27f6","is_oa":true,"landing_page_url":"https://doaj.org/article/6f54658be7ac4872bd14ef6ca0bb27f6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 10, Iss 9, p 1382 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/10/9/1382/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs10091382","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 10; Issue 9; Pages: 1382","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs10091382","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10091382","pdf_url":"https://www.mdpi.com/2072-4292/10/9/1382/pdf?version=1535632695","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2888916943.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1233292831","https://openalex.org/W1522046140","https://openalex.org/W1966928556","https://openalex.org/W1972129788","https://openalex.org/W1983154923","https://openalex.org/W1990330790","https://openalex.org/W1997058127","https://openalex.org/W1998349423","https://openalex.org/W2014630223","https://openalex.org/W2023306858","https://openalex.org/W2027554150","https://openalex.org/W2027756597","https://openalex.org/W2041570083","https://openalex.org/W2048006756","https://openalex.org/W2052530951","https://openalex.org/W2056811372","https://openalex.org/W2059696949","https://openalex.org/W2067542652","https://openalex.org/W2069281949","https://openalex.org/W2088603520","https://openalex.org/W2090976648","https://openalex.org/W2111496197","https://openalex.org/W2116327754","https://openalex.org/W2118741031","https://openalex.org/W2152254169","https://openalex.org/W2153763028","https://openalex.org/W2155553137","https://openalex.org/W2301692565","https://openalex.org/W2500249665","https://openalex.org/W2741291720","https://openalex.org/W2765110247","https://openalex.org/W2774322389","https://openalex.org/W2794423204","https://openalex.org/W2795018073","https://openalex.org/W2799507044","https://openalex.org/W2800637321","https://openalex.org/W4285719527","https://openalex.org/W4385158133","https://openalex.org/W6628200799","https://openalex.org/W6631230401","https://openalex.org/W6645913581","https://openalex.org/W6673577707","https://openalex.org/W7027885658"],"related_works":["https://openalex.org/W2025039112","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3214791684","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708"],"abstract_inverted_index":{"The":[0,37,117,182,207],"trade-off":[1],"between":[2],"spatial":[3,168],"and":[4,21,89,102,106,119,137,141,163,174,184,192,198,203,234],"temporal":[5,176],"resolutions":[6],"in":[7,130],"satellite":[8],"sensors":[9],"has":[10],"inspired":[11],"the":[12,25,45,54,62,65,99,108,128,131,135,149,171,179,211,216,219,223,231],"development":[13],"of":[14,56,64,160],"numerous":[15],"thermal":[16,142],"sharpening":[17],"methods.":[18],"Specifically,":[19],"regression":[20,38,88,172,220],"spatiotemporal":[22,46,78,95],"fusion":[23,47,90,180],"are":[24],"two":[26,73,84],"main":[27],"strategies":[28,85],"used":[29,110],"to":[30,75,92,111,153,158],"generate":[31,76,93],"high-resolution":[32],"land":[33],"surface":[34],"temperatures":[35],"(LSTs).":[36],"method":[39,48,173],"statically":[40],"downscales":[41],"coarse-resolution":[42],"LSTs,":[43,97],"whereas":[44],"can":[49],"dynamically":[50],"downscale":[51,148],"LSTs;":[52],"however,":[53],"resolution":[55,79,96,156],"downscaled":[57],"LSTs":[58],"is":[59,115],"limited":[60],"by":[61],"availability":[63],"fine-resolution":[66],"LSTs.":[67,80],"Few":[68],"studies":[69],"have":[70,121],"combined":[71],"these":[72],"methods":[74,91],"high":[77,94,167],"This":[81],"study":[82],"proposes":[83],"for":[86],"combining":[87],"namely,":[98],"\u201cregression-then-fusion\u201d":[100],"(R-F)":[101],"\u201cfusion-then-regression\u201d":[103],"(F-R)":[104],"methods,":[105],"discusses":[107],"criteria":[109],"determine":[112],"which":[113],"strategy":[114],"better.":[116],"R-F":[118,183,212],"F-R":[120,185,217],"several":[122],"advantages:":[123],"(1)":[124],"they":[125,147,165],"fully":[126],"exploit":[127],"information":[129],"available":[132],"data":[133],"on":[134],"visible":[136],"near":[138],"infrared":[139,143],"(VNIR)":[140],"(TIR)":[144],"bands;":[145],"(2)":[146],"LST":[150],"time":[151,225],"series":[152],"a":[154],"finer":[155],"corresponding":[157],"that":[159,210,229],"VNIR":[161],"data;":[162],"(3)":[164],"inherit":[166],"reconstructions":[169],"from":[170,178],"dynamic":[175],"reconveyance":[177],"method.":[181],"were":[186],"tested":[187],"with":[188],"different":[189],"start":[190,224],"times":[191,194],"target":[193,232],"using":[195],"Landsat":[196],"8":[197],"Advanced":[199],"Spaceborne":[200],"Thermal":[201],"Emission":[202],"Reflection":[204],"Radiometer":[205],"data.":[206],"results":[208],"showed":[209],"performed":[213],"better":[214],"than":[215,228],"when":[218],"error":[221],"at":[222,230],"was":[226],"smaller":[227],"time,":[233],"vice":[235],"versa.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
