{"id":"https://openalex.org/W2096168211","doi":"https://doi.org/10.1109/igarss.2004.1370765","title":"A practical algorithm to inverse land surface component temperatures from ATSR-2 and ASTER data","display_name":"A practical algorithm to inverse land surface component temperatures from ATSR-2 and ASTER data","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W2096168211","doi":"https://doi.org/10.1109/igarss.2004.1370765","mag":"2096168211"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2004.1370765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1370765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","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/A5107597668","display_name":"Guangjian Yan","orcid":"https://orcid.org/0000-0001-5030-748X"},"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"]},{"id":"https://openalex.org/I4210117728","display_name":"Center For Remote Sensing (United States)","ror":"https://ror.org/021wvg932","country_code":"US","type":"company","lineage":["https://openalex.org/I4210117728"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Guangjian Yan Yuli Shi","raw_affiliation_strings":["Res. Center for Remote Sensing & GIS, Beijing Normal Univ"],"affiliations":[{"raw_affiliation_string":"Res. Center for Remote Sensing & GIS, Beijing Normal Univ","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941","https://openalex.org/I4210117728"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5107597668"],"corresponding_institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210117728","https://openalex.org/I4210166112"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14719838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"2078","last_page":"2078b"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9975000023841858,"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":0.9975000023841858,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/inversion","display_name":"Inversion (geology)","score":0.7423698902130127},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6798005104064941},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6452165842056274},{"id":"https://openalex.org/keywords/advanced-spaceborne-thermal-emission-and-reflection-radiometer","display_name":"Advanced Spaceborne Thermal Emission and Reflection Radiometer","score":0.6122397184371948},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5437743067741394},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5091091990470886},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.5035945773124695},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.4935098886489868},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4488440752029419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36711007356643677},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.293083131313324},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24307402968406677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13887560367584229},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13065308332443237},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.07847711443901062},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06505116820335388}],"concepts":[{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.7423698902130127},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6798005104064941},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6452165842056274},{"id":"https://openalex.org/C13772937","wikidata":"https://www.wikidata.org/wiki/Q298019","display_name":"Advanced Spaceborne Thermal Emission and Reflection Radiometer","level":3,"score":0.6122397184371948},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5437743067741394},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5091091990470886},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.5035945773124695},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.4935098886489868},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4488440752029419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36711007356643677},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.293083131313324},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24307402968406677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13887560367584229},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13065308332443237},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.07847711443901062},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06505116820335388},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2004.1370765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1370765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2002042063","https://openalex.org/W2012645261","https://openalex.org/W2062131728","https://openalex.org/W2067095900","https://openalex.org/W2073201099","https://openalex.org/W2078222544","https://openalex.org/W2169278316"],"related_works":["https://openalex.org/W4385534147","https://openalex.org/W2044433859","https://openalex.org/W2323222480","https://openalex.org/W2330649502","https://openalex.org/W2397861925","https://openalex.org/W2168207577","https://openalex.org/W2026983840","https://openalex.org/W3092009021","https://openalex.org/W2331917905","https://openalex.org/W3155039083"],"abstract_inverted_index":{"In":[0],"this":[1,142],"study,":[2],"a":[3,58,72,93,134],"thermal":[4,61,67],"model-based":[5],"algorithm":[6,12,143],"has":[7],"been":[8],"developed.":[9],"This":[10],"linearized":[11],"can":[13,132,144],"invert":[14,145],"land":[15],"surface":[16],"component":[17,27],"temperatures":[18],"in":[19,28],"an":[20,29,44],"ATSR":[21,30,45,66],"pixel.":[22],"The":[23],"proportion":[24],"of":[25,43,50,79],"each":[26],"pixel":[31,46],"is":[32,47,81,100],"gotten":[33],"using":[34,71,83],"matched":[35],"ASTER":[36],"data.":[37],"Then,":[38],"assumed":[39],"that":[40,102],"the":[41,48,51,77,90,104,125],"radiation":[42,52],"sum":[49],"from":[53],"several":[54],"components,":[55],"we":[56],"get":[57,133],"simple":[59],"linear":[60],"model.":[62],"Atmospheric":[63],"effects":[64],"on":[65],"data":[68],"are":[69,110],"removed":[70],"split-window":[73],"algorithm.":[74],"Before":[75],"inversion,":[76],"sensitivity":[78],"parameters":[80,109,118],"analyzed":[82],"Uncertainty":[84],"and":[85,107,147],"Sensitivity":[86],"Matrix":[87],"(USM).":[88],"During":[89],"inversion":[91,128],"process,":[92],"Multi-stage":[94],"Sample-direction":[95],"Dependent":[96],"Target-decisions":[97],"(MSDT)":[98],"strategy":[99,131],"taken,":[101],"is,":[103],"most":[105],"sensitive":[106,117],"uncertain":[108],"inverted":[111],"first":[112],"by":[113],"fixing":[114],"some":[115],"less":[116],"at":[119],"their":[120],"prior":[121,140],"values.":[122],"Compared":[123],"with":[124],"general":[126],"direct":[127],"method,":[129],"MSDT":[130],"more":[135],"robust":[136],"result.":[137],"With":[138],"other":[139],"knowledge,":[141],"soil":[146],"vegetation":[148],"temperature.":[149]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
