{"id":"https://openalex.org/W2901824417","doi":"https://doi.org/10.1109/igarss.2018.8518900","title":"Estimation of Land Surface Temperature from Chinese Gaofen-5 Satellite Data","display_name":"Estimation of Land Surface Temperature from Chinese Gaofen-5 Satellite Data","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901824417","doi":"https://doi.org/10.1109/igarss.2018.8518900","mag":"2901824417"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8518900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5088342796","display_name":"Bo\u2010Hui Tang","orcid":"https://orcid.org/0000-0002-1918-5346"},"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":"Bo-Hui Tang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058040417","display_name":"Zhao-Liang Li","orcid":"https://orcid.org/0000-0001-9369-8548"},"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":"Zhao-Liang Li","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088342796"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.1304,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50969034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"34","issue":null,"first_page":"2559","last_page":"2562"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":1.0,"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":1.0,"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":0.988099992275238,"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":0.9847999811172485,"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/modtran","display_name":"MODTRAN","score":0.825345516204834},{"id":"https://openalex.org/keywords/emissivity","display_name":"Emissivity","score":0.7861708998680115},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5912377238273621},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.557527482509613},{"id":"https://openalex.org/keywords/radiative-transfer","display_name":"Radiative transfer","score":0.4470844864845276},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43259772658348083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3874155282974243},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3509833812713623},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3394169807434082},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32702362537384033},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.26500654220581055},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18490877747535706},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.16684818267822266},{"id":"https://openalex.org/keywords/astronomy","display_name":"Astronomy","score":0.08945116400718689}],"concepts":[{"id":"https://openalex.org/C2776445388","wikidata":"https://www.wikidata.org/wiki/Q6716998","display_name":"MODTRAN","level":3,"score":0.825345516204834},{"id":"https://openalex.org/C163651212","wikidata":"https://www.wikidata.org/wiki/Q899670","display_name":"Emissivity","level":2,"score":0.7861708998680115},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5912377238273621},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.557527482509613},{"id":"https://openalex.org/C74902906","wikidata":"https://www.wikidata.org/wiki/Q1190858","display_name":"Radiative transfer","level":2,"score":0.4470844864845276},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43259772658348083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3874155282974243},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3509833812713623},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3394169807434082},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32702362537384033},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.26500654220581055},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18490877747535706},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.16684818267822266},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.08945116400718689}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8518900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1255213401","https://openalex.org/W2011195592","https://openalex.org/W2026337749","https://openalex.org/W2051798177","https://openalex.org/W2102003728","https://openalex.org/W2169278316","https://openalex.org/W2169447826","https://openalex.org/W2170797800","https://openalex.org/W6628281313"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2046112629","https://openalex.org/W244962899","https://openalex.org/W4236704567","https://openalex.org/W2032084098","https://openalex.org/W2967512866","https://openalex.org/W1977433239","https://openalex.org/W2378883512","https://openalex.org/W2136751031","https://openalex.org/W2016341506"],"abstract_inverted_index":{"This":[0],"work":[1],"addressed":[2],"the":[3,29,79,87,113,137,151,160],"estimation":[4],"of":[5,28,56,89,115,176],"Land":[6,152],"Surface":[7,153],"Temperature":[8],"(LST)":[9],"from":[10,39],"Chinese":[11],"Gaofen-5":[12],"(GF-5)":[13],"satellite":[14],"Thermal":[15],"Infrared":[16],"(TIR)":[17],"data,":[18],"using":[19,34,136],"a":[20,35,53],"Generalized":[21],"Split-Window":[22],"(GSW)":[23],"algorithm.":[24],"The":[25,61,82],"numerical":[26],"values":[27],"GSW":[30,138],"coefficients":[31],"were":[32,71],"obtained":[33],"statistical":[36],"regression":[37],"method":[38],"synthetic":[40],"data":[41],"simulated":[42],"with":[43,112,140,193],"an":[44],"accurate":[45],"atmospheric":[46,57,66,168],"radiative":[47],"transfer":[48],"model":[49],"MODTRAN":[50],"5":[51],"over":[52],"wide":[54],"range":[55],"and":[58,65,101,124,166,181],"surface":[59],"conditions.":[60],"LST,":[62],"mean":[63],"emissivity,":[64],"Water":[67],"Vapor":[68],"Content":[69],"(WVC)":[70],"divided":[72],"into":[73],"several":[74],"tractable":[75],"sub-ranges":[76],"to":[77,190],"improve":[78],"fitting":[80],"accuracy.":[81],"experimental":[83],"results":[84],"showed":[85],"that":[86,150],"combination":[88,114,175],"two":[90,116,171],"adjacent":[91,117,173],"channels":[92,118,174],"CH":[93,102,125,177,182],"<sub":[94,103,126,178,183],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[95,104,127,179,184],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">8.20</sub>":[96],"(centered":[97,106,120,129],"at":[98,107,121,130],"8.20":[99],"\u03bcm)":[100,109,123,132],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">8.63</sub>":[105,180],"8.63":[108],"was":[110],"comparable":[111],"CHlO.SO":[119],"10.80":[122],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">11.95</sub>":[128,185],"11.92":[131],"for":[133,159],"estimating":[134],"LST":[135,192],"algorithm,":[139],"Root":[141],"Mean":[142],"Square":[143],"Errors":[144],"(RMSEs)":[145],"below":[146],"0.8":[147],"K,":[148],"provided":[149],"Emissivities":[154],"(LSEs)":[155],"are":[156],"known.":[157],"Particularly,":[158],"high":[161],"emissivity":[162],"surfaces":[163],"under":[164],"wet":[165],"hot":[167],"conditions":[169],",":[170],"not":[172],"could":[186],"also":[187],"be":[188],"used":[189],"estimate":[191],"RMSEs":[194],"within":[195],"0.5":[196],"K.":[197]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
