{"id":"https://openalex.org/W3204334872","doi":"https://doi.org/10.3390/rs13193885","title":"A Framework for Generating High Spatiotemporal Resolution Land Surface Temperature in Heterogeneous Areas","display_name":"A Framework for Generating High Spatiotemporal Resolution Land Surface Temperature in Heterogeneous Areas","publication_year":2021,"publication_date":"2021-09-28","ids":{"openalex":"https://openalex.org/W3204334872","doi":"https://doi.org/10.3390/rs13193885","mag":"3204334872"},"language":"en","primary_location":{"id":"doi:10.3390/rs13193885","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13193885","pdf_url":"https://www.mdpi.com/2072-4292/13/19/3885/pdf?version=1632974533","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/2072-4292/13/19/3885/pdf?version=1632974533","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026629570","display_name":"Xinming Zhu","orcid":"https://orcid.org/0000-0002-9256-5644"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinming Zhu","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China","Yanshan Earth Critical Zone and Surface Fluxes Research Station, University of Chinese Academy of Sciences, Beijing 101408, China"],"raw_orcid":"https://orcid.org/0000-0002-9256-5644","affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Yanshan Earth Critical Zone and Surface Fluxes Research Station, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083560587","display_name":"Xiaoning Song","orcid":"https://orcid.org/0000-0002-8867-9016"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoning Song","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China","Yanshan Earth Critical Zone and Surface Fluxes Research Station, University of Chinese Academy of Sciences, Beijing 101408, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Yanshan Earth Critical Zone and Surface Fluxes Research Station, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112149554","display_name":"Pei Leng","orcid":"https://orcid.org/0000-0002-9130-5437"},"institutions":[{"id":"https://openalex.org/I4210108914","display_name":"Institute of Agricultural Resources and Regional Planning","ror":"https://ror.org/01nrzdp21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108914","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210151987","display_name":"Ministry of Agriculture and Rural Affairs","ror":"https://ror.org/05ckt8b96","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei Leng","raw_affiliation_strings":["Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China","Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China","institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501"]},{"raw_affiliation_string":"Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs, Beijing 100081, China","institution_ids":["https://openalex.org/I4210151987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101657058","display_name":"Xiaotao Li","orcid":"https://orcid.org/0000-0002-6119-1344"},"institutions":[{"id":"https://openalex.org/I4210092032","display_name":"China Institute of Water Resources and Hydropower Research","ror":"https://ror.org/00m4czf33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092032"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotao Li","raw_affiliation_strings":["China Institute of Water Resources and Hydropower Research, Beijing 100038, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Institute of Water Resources and Hydropower Research, Beijing 100038, China","institution_ids":["https://openalex.org/I4210092032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022234965","display_name":"Liang Gao","orcid":"https://orcid.org/0000-0001-5524-2718"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Gao","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China","Yanshan Earth Critical Zone and Surface Fluxes Research Station, University of Chinese Academy of Sciences, Beijing 101408, China"],"raw_orcid":"https://orcid.org/0000-0001-5524-2718","affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Yanshan Earth Critical Zone and Surface Fluxes Research Station, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028821253","display_name":"Da Guo","orcid":"https://orcid.org/0000-0001-9564-2994"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da Guo","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China","Yanshan Earth Critical Zone and Surface Fluxes Research Station, University of Chinese Academy of Sciences, Beijing 101408, China"],"raw_orcid":"https://orcid.org/0000-0001-9564-2994","affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Yanshan Earth Critical Zone and Surface Fluxes Research Station, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052370068","display_name":"Shuohao Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuohao Cai","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China","Yanshan Earth Critical Zone and Surface Fluxes Research Station, University of Chinese Academy of Sciences, Beijing 101408, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Yanshan Earth Critical Zone and Surface Fluxes Research Station, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5083560587"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.0983,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.74199277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"13","issue":"19","first_page":"3885","last_page":"3885"},"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":0.9932000041007996,"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":0.9900000095367432,"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/downscaling","display_name":"Downscaling","score":0.8019133806228638},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6768973469734192},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6106985807418823},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6076242923736572},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5011196136474609},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4557466506958008},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4510185718536377},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.41574087738990784},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2917225956916809},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.22419974207878113},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.1636180579662323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1577264964580536},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14929744601249695},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1329379677772522},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13112378120422363}],"concepts":[{"id":"https://openalex.org/C41156917","wikidata":"https://www.wikidata.org/wiki/Q682831","display_name":"Downscaling","level":3,"score":0.8019133806228638},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6768973469734192},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6106985807418823},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6076242923736572},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5011196136474609},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4557466506958008},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4510185718536377},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.41574087738990784},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2917225956916809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.22419974207878113},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.1636180579662323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1577264964580536},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14929744601249695},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1329379677772522},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13112378120422363},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13193885","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13193885","pdf_url":"https://www.mdpi.com/2072-4292/13/19/3885/pdf?version=1632974533","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:9177aef7e1d54dd69953fb8fe1bd978e","is_oa":true,"landing_page_url":"https://doaj.org/article/9177aef7e1d54dd69953fb8fe1bd978e","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 13, Iss 19, p 3885 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/19/3885/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13193885","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 13; Issue 19; Pages: 3885","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13193885","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13193885","pdf_url":"https://www.mdpi.com/2072-4292/13/19/3885/pdf?version=1632974533","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":[{"display_name":"Life in Land","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G1150210856","display_name":null,"funder_award_id":"41871242","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1164292339","display_name":null,"funder_award_id":"42041005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6196642743","display_name":null,"funder_award_id":"2019QZKK0304","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332183","display_name":"U.S. Geological Survey","ror":"https://ror.org/035a68863"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3204334872.pdf","grobid_xml":"https://content.openalex.org/works/W3204334872.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1840202565","https://openalex.org/W1848721793","https://openalex.org/W1969801270","https://openalex.org/W1990330790","https://openalex.org/W1996043099","https://openalex.org/W1997058127","https://openalex.org/W1998079645","https://openalex.org/W1998349423","https://openalex.org/W2011195592","https://openalex.org/W2018112660","https://openalex.org/W2023306858","https://openalex.org/W2026337749","https://openalex.org/W2027756597","https://openalex.org/W2067542652","https://openalex.org/W2088603520","https://openalex.org/W2116327754","https://openalex.org/W2119358039","https://openalex.org/W2133665775","https://openalex.org/W2153763028","https://openalex.org/W2156049446","https://openalex.org/W2164450828","https://openalex.org/W2200350976","https://openalex.org/W2230162384","https://openalex.org/W2277069176","https://openalex.org/W2289805253","https://openalex.org/W2290137763","https://openalex.org/W2301692565","https://openalex.org/W2343523346","https://openalex.org/W2500249665","https://openalex.org/W2549340854","https://openalex.org/W2607336919","https://openalex.org/W2741291720","https://openalex.org/W2792837797","https://openalex.org/W2794423204","https://openalex.org/W2795714960","https://openalex.org/W2888916943","https://openalex.org/W2901491420","https://openalex.org/W2904391595","https://openalex.org/W2911964244","https://openalex.org/W2915231377","https://openalex.org/W2919424886","https://openalex.org/W2939196443","https://openalex.org/W3024727387","https://openalex.org/W3026092945","https://openalex.org/W3034933863","https://openalex.org/W3037707481","https://openalex.org/W3037726600","https://openalex.org/W3047924345","https://openalex.org/W3082500687","https://openalex.org/W3120425288","https://openalex.org/W3200825310","https://openalex.org/W6638894096","https://openalex.org/W6677925301","https://openalex.org/W6694986629","https://openalex.org/W6779974966","https://openalex.org/W6783116766"],"related_works":["https://openalex.org/W2394436593","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039","https://openalex.org/W2726747157","https://openalex.org/W2004817612","https://openalex.org/W2010131506","https://openalex.org/W2145797872"],"abstract_inverted_index":{"Land":[0],"surface":[1],"temperature":[2],"(LST)":[3],"is":[4,33],"a":[5,279,288],"crucial":[6],"biophysical":[7],"parameter":[8],"related":[9],"closely":[10],"to":[11,23,36,44,64,94,98,141,220,230],"the":[12,48,72,109,115,121,143,158,167,171,184,195,205,210,234,243,248,253],"land\u2013atmosphere":[13],"interface.":[14],"Satellite":[15],"thermal":[16],"infrared":[17],"measurement":[18],"provides":[19],"an":[20],"effective":[21],"method":[22],"derive":[24,99],"LST":[25,42,53,76,85,113,146,160,188,202,282],"on":[26],"regional":[27],"and":[28,55,78,84,120,135,153,176,180,209,223,269,287],"global":[29],"scales,":[30],"but":[31],"it":[32],"very":[34],"hard":[35],"acquire":[37],"simultaneously":[38],"high":[39,100,289],"spatiotemporal":[40,56,101,122,290],"resolution":[41,102,145,291],"due":[43],"its":[45],"limitation":[46],"in":[47,104,151,200,260,265],"sensor":[49],"design.":[50],"Recently,":[51],"many":[52],"downscaling":[54,116],"image":[57,82],"fusion":[58,123],"methods":[59,70],"have":[60],"been":[61],"widely":[62],"proposed":[63,196,249],"solve":[65],"this":[66,91,275],"problem.":[67],"However,":[68],"most":[69,254],"ignored":[71],"spatial":[73],"heterogeneity":[74],"of":[75,112,117,124,130,133,155,281],"distribution,":[77],"there":[79],"are":[80],"inconsistent":[81],"textures":[83],"values":[86],"over":[87,292],"heterogeneous":[88,105,262,293],"regions.":[89],"Thus,":[90],"study":[92],"aims":[93],"propose":[95],"one":[96],"framework":[97,197,251,276],"LSTs":[103,168],"areas":[106],"by":[107,170],"considering":[108],"optimal":[110],"selection":[111],"predictors,":[114],"MODIS":[118,134],"LST,":[119],"Landsat":[125,136,186],"8":[126,137,187],"LST.":[127],"A":[128],"total":[129],"eight":[131],"periods":[132],"data":[138],"were":[139,237],"used":[140],"predict":[142],"100-m":[144],"at":[147,161,190,257],"prediction":[148],"time":[149],"tp":[150,162],"Zhangye":[152],"Beijing":[154],"China.":[156],"Further,":[157],"predicted":[159,169],"was":[163,181],"quantitatively":[164],"contrasted":[165],"with":[166,183,284],"regression-then-fusion":[172],"strategy,":[173],"STARFM-based":[174],"fusion,":[175],"random":[177],"forest-based":[178],"regression,":[179],"validated":[182],"actual":[185],"product":[189],"tp.":[191],"Results":[192],"indicated":[193,247],"that":[194,274],"performed":[198],"better":[199],"characterizing":[201],"texture":[203],"than":[204,240],"referenced":[206],"three":[207],"methods,":[208],"root":[211],"mean":[212],"square":[213],"error":[214,245],"(RMSE)":[215],"varied":[216,226],"from":[217,227],"0.85":[218],"K":[219,229,259],"2.29":[221],"K,":[222,232],"relative":[224],"RMSE":[225],"0.18":[228],"0.69":[231],"where":[233],"correlation":[235],"coefficients":[236],"all":[238],"greater":[239],"0.84.":[241],"Furthermore,":[242],"distribution":[244],"analysis":[246],"new":[250],"generated":[252],"area":[255],"proportion":[256],"0~1":[258],"some":[261],"regions,":[263],"especially":[264],"artificial":[266],"impermeable":[267],"surfaces":[268],"bare":[270],"lands.":[271],"This":[272],"means":[273],"can":[277],"provide":[278],"set":[280],"dataset":[283],"reasonable":[285],"accuracy":[286],"areas.":[294]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2021-10-11T00:00:00"}