{"id":"https://openalex.org/W2129080587","doi":"https://doi.org/10.1109/jstars.2010.2070871","title":"Maximum Nighttime Urban Heat Island (UHI) Intensity Simulation by Integrating Remotely Sensed Data and Meteorological Observations","display_name":"Maximum Nighttime Urban Heat Island (UHI) Intensity Simulation by Integrating Remotely Sensed Data and Meteorological Observations","publication_year":2010,"publication_date":"2010-09-22","ids":{"openalex":"https://openalex.org/W2129080587","doi":"https://doi.org/10.1109/jstars.2010.2070871","mag":"2129080587"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2010.2070871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2010.2070871","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5076740062","display_name":"Ji Zhou","orcid":"https://orcid.org/0000-0001-9926-7693"},"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":"Ji Zhou","raw_affiliation_strings":["Institute of Geo-Spatial Information Science and Technology, University of Electronic Science and Technology, Beijing, China","State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geo-Spatial Information Science and Technology, University of Electronic Science and Technology, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, Beijing, 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":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunhao Chen","raw_affiliation_strings":["Institute of Geo-Spatial Information Science and Technology, University of Electronic Science and Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geo-Spatial Information Science and Technology, University of Electronic Science and Technology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006022882","display_name":"Jinfei Wang","orcid":"https://orcid.org/0000-0002-8404-0530"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinfei Wang","raw_affiliation_strings":["Institute of Geo-Spatial Information Science and Technology, University of Electronic Science and Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geo-Spatial Information Science and Technology, University of Electronic Science and Technology, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001957429","display_name":"Wenfeng Zhan","orcid":"https://orcid.org/0000-0001-7487-821X"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]},{"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":["CA","CN"],"is_corresponding":false,"raw_author_name":"Wenfeng Zhan","raw_affiliation_strings":["Department of Geography, University of Western Ontario, London, ONT, Canada","State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Western Ontario, London, ONT, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":2.0653,"has_fulltext":false,"cited_by_count":117,"citation_normalized_percentile":{"value":0.86952361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"4","issue":"1","first_page":"138","last_page":"146"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9937999844551086,"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/T10692","display_name":"Urban Green Space and Health","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/environmental-science","display_name":"Environmental science","score":0.7779014706611633},{"id":"https://openalex.org/keywords/urban-heat-island","display_name":"Urban heat island","score":0.7403412461280823},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.6600005626678467},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.5812956690788269},{"id":"https://openalex.org/keywords/albedo","display_name":"Albedo (alchemy)","score":0.5246456265449524},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5217652916908264},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.49597248435020447},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4913717806339264},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.4508492648601532},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.42298150062561035},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.3989816904067993},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.36447641253471375},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.19058480858802795},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.1387169361114502},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12159675359725952},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1002381443977356},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08122143149375916}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.7779014706611633},{"id":"https://openalex.org/C54005896","wikidata":"https://www.wikidata.org/wiki/Q215712","display_name":"Urban heat island","level":2,"score":0.7403412461280823},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.6600005626678467},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.5812956690788269},{"id":"https://openalex.org/C195886398","wikidata":"https://www.wikidata.org/wiki/Q2110050","display_name":"Albedo (alchemy)","level":3,"score":0.5246456265449524},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5217652916908264},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.49597248435020447},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4913717806339264},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.4508492648601532},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.42298150062561035},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.3989816904067993},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36447641253471375},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.19058480858802795},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1387169361114502},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12159675359725952},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1002381443977356},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08122143149375916},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C554144382","wikidata":"https://www.wikidata.org/wiki/Q213156","display_name":"Performance art","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2010.2070871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2010.2070871","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1880696298","https://openalex.org/W1964357740","https://openalex.org/W1966352528","https://openalex.org/W1971429875","https://openalex.org/W1984811700","https://openalex.org/W1993665610","https://openalex.org/W1998422116","https://openalex.org/W2000551488","https://openalex.org/W2012811501","https://openalex.org/W2016279306","https://openalex.org/W2019985735","https://openalex.org/W2029660080","https://openalex.org/W2036670520","https://openalex.org/W2036864356","https://openalex.org/W2038125488","https://openalex.org/W2046547379","https://openalex.org/W2052256290","https://openalex.org/W2082291024","https://openalex.org/W2088358501","https://openalex.org/W2090976648","https://openalex.org/W2109943925","https://openalex.org/W2111947425","https://openalex.org/W2119821739","https://openalex.org/W2130615363","https://openalex.org/W2133990480","https://openalex.org/W2143761504","https://openalex.org/W2153763028","https://openalex.org/W2156909104","https://openalex.org/W2161241309","https://openalex.org/W2171125286","https://openalex.org/W2271269369","https://openalex.org/W2390536250","https://openalex.org/W3024718344","https://openalex.org/W4239510810","https://openalex.org/W6998477672"],"related_works":["https://openalex.org/W3207046288","https://openalex.org/W3023446922","https://openalex.org/W4324030030","https://openalex.org/W4385533602","https://openalex.org/W3189212133","https://openalex.org/W4382239404","https://openalex.org/W2526455285","https://openalex.org/W2374100333","https://openalex.org/W3216119834","https://openalex.org/W4288766327"],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"of":[2,49,58,68,87,147],"the":[3,19,30,47,53,56,64,69,77,103,114,117,120,145,148,153,162,166,171,182,185,207,213,222,231,237,245],"urban":[4],"heat":[5],"island":[6],"(UHI)":[7],"effect":[8,234],"has":[9],"been":[10],"conducted":[11],"largely":[12],"through":[13],"simple":[14],"correlation":[15],"and":[16,23,37,42,66,91,139,170,187,194,196,204,239],"regression":[17,108,150,164,169],"between":[18,184],"UHI's":[20],"spatial":[21],"variations":[22],"surface":[24,31,97,126,232,246],"characteristics.":[25,247],"Few":[26],"studies":[27],"have":[28],"examined":[29],"UHI":[32,81,233],"from":[33,116],"a":[34,95],"temporal":[35],"perspective":[36],"related":[38],"it":[39],"with":[40,175,192],"climatic":[41,238],"meteorological":[43,92,240],"factors.":[44],"By":[45],"selecting":[46],"city":[48],"Beijing,":[50],"China,":[51],"as":[52],"study":[54],"area,":[55],"purpose":[57],"this":[59],"research":[60],"was":[61,99,155],"to":[62,75,101,112,158,244],"evaluate":[63],"applicability":[65],"feasibility":[67],"support":[70],"vector":[71],"machine":[72],"(SVM)":[73],"technique":[74],"model":[76,98],"daily":[78],"maximum":[79],"nighttime":[80],"intensity":[82],"(MNUHII)":[83],"based":[84],"on":[85,230],"integration":[86],"MODIS":[88],"land":[89],"products":[90],"observations.":[93],"First,":[94],"Gaussian":[96],"used":[100],"calculate":[102],"city's":[104],"MNUHIIs.":[105],"Then,":[106],"SVM":[107,149,163],"models":[109],"were":[110,197,206],"developed":[111],"predict":[113],"MNUHII":[115,154,186],"following":[118],"variables:":[119],"normalized":[121],"difference":[122],"vegetation":[123],"index":[124],"(NDVI),":[125],"albedo,":[127],"atmospheric":[128],"aerosol":[129],"optical":[130],"depth":[131],"(AOD),":[132],"relative":[133],"humidity":[134],"(RH),":[135],"sunshine":[136],"hour":[137],"(SH),":[138],"precipitation":[140,218],"(PREP).":[141],"Results":[142],"demonstrate":[143],"that":[144,181,211,227],"accuracy":[146],"in":[151,160,242],"predicting":[152],"around":[156],"0.8\u00b0C":[157],"1.3\u00b0C;":[159],"addition,":[161,216],"outperformed":[165],"multiple":[167],"linear":[168],"artificial":[172],"neural":[173],"network":[174],"backpropagation.":[176],"A":[177],"scenario":[178],"analysis":[179],"indicates":[180],"relationships":[183],"its":[188],"influencing":[189],"factors":[190,210],"varied":[191],"time":[193],"season":[195],"impacted":[198],"by":[199],"previous":[200,217],"precipitation.":[201],"The":[202,224],"RH":[203],"AOD":[205],"most":[208],"important":[209],"influenced":[212],"MNUHII.":[214,223],"In":[215],"could":[219],"significantly":[220],"mitigate":[221],"results":[225],"suggest":[226],"future":[228],"investigations":[229],"should":[235],"consider":[236],"conditions":[241],"addition":[243]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
