{"id":"https://openalex.org/W2955846576","doi":"https://doi.org/10.3390/s19132987","title":"Deep Learning Convolutional Neural Network for the Retrieval of Land Surface Temperature from AMSR2 Data in China","display_name":"Deep Learning Convolutional Neural Network for the Retrieval of Land Surface Temperature from AMSR2 Data in China","publication_year":2019,"publication_date":"2019-07-06","ids":{"openalex":"https://openalex.org/W2955846576","doi":"https://doi.org/10.3390/s19132987","mag":"2955846576","pmid":"https://pubmed.ncbi.nlm.nih.gov/31284617"},"language":"en","primary_location":{"id":"doi:10.3390/s19132987","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19132987","pdf_url":"https://www.mdpi.com/1424-8220/19/13/2987/pdf?version=1562409466","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/19/13/2987/pdf?version=1562409466","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082802895","display_name":"Jiancan Tan","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancan Tan","raw_affiliation_strings":["Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"],"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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077058917","display_name":"Nusseiba NourEldeen","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nusseiba NourEldeen","raw_affiliation_strings":["Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"],"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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088157563","display_name":"Kebiao Mao","orcid":"https://orcid.org/0000-0002-1288-8428"},"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/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/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"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/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"]},{"id":"https://openalex.org/I52180223","display_name":"Hunan Agricultural University","ror":"https://ror.org/01dzed356","country_code":"CN","type":"education","lineage":["https://openalex.org/I52180223"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kebiao Mao","raw_affiliation_strings":["College of Resources &amp; Environment, Hunan Agricultural University, Changsha 410128, China","Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China","State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth Research, Chinese Academy of Science and Beijing Normal University, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"College of Resources &amp; Environment, Hunan Agricultural University, Changsha 410128, China","institution_ids":["https://openalex.org/I52180223"]},{"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":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth Research, Chinese Academy of Science and Beijing Normal University, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941","https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006636279","display_name":"Jiancheng Shi","orcid":"https://orcid.org/0000-0002-6163-2912"},"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/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"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"],"is_corresponding":false,"raw_author_name":"Jiancheng Shi","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth Research, Chinese Academy of Science and Beijing Normal University, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth Research, Chinese Academy of Science and Beijing Normal University, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941","https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058040417","display_name":"Zhao-Liang Li","orcid":"https://orcid.org/0000-0001-9369-8548"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoliang Li","raw_affiliation_strings":["Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"],"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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108047117","display_name":"Tongren Xu","orcid":"https://orcid.org/0000-0002-1744-8974"},"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/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"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"],"is_corresponding":false,"raw_author_name":"Tongren Xu","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth Research, Chinese Academy of Science and Beijing Normal University, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth Research, Chinese Academy of Science and Beijing Normal University, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941","https://openalex.org/I4210128053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041249333","display_name":"Zijin Yuan","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijin Yuan","raw_affiliation_strings":["Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"],"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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5088157563"],"corresponding_institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210108914","https://openalex.org/I4210128053","https://openalex.org/I4210138501","https://openalex.org/I4210166112","https://openalex.org/I52180223"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.8605,"has_fulltext":true,"cited_by_count":56,"citation_normalized_percentile":{"value":0.89598474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":"13","first_page":"2987","last_page":"2987"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9988999962806702,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9988999962806702,"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/T10766","display_name":"Urban Heat Island Mitigation","score":0.9972000122070312,"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":0.996999979019165,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7296691536903381},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7095717191696167},{"id":"https://openalex.org/keywords/brightness-temperature","display_name":"Brightness temperature","score":0.6513819098472595},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5674595832824707},{"id":"https://openalex.org/keywords/moderate-resolution-imaging-spectroradiometer","display_name":"Moderate-resolution imaging spectroradiometer","score":0.5459656715393066},{"id":"https://openalex.org/keywords/radiometer","display_name":"Radiometer","score":0.5004732608795166},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42552363872528076},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3900757431983948},{"id":"https://openalex.org/keywords/microwave","display_name":"Microwave","score":0.37175896763801575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25249022245407104},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1283722221851349},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1035396158695221},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06744199991226196}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7296691536903381},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7095717191696167},{"id":"https://openalex.org/C53802167","wikidata":"https://www.wikidata.org/wiki/Q4538627","display_name":"Brightness temperature","level":3,"score":0.6513819098472595},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5674595832824707},{"id":"https://openalex.org/C2777007095","wikidata":"https://www.wikidata.org/wiki/Q676840","display_name":"Moderate-resolution imaging spectroradiometer","level":3,"score":0.5459656715393066},{"id":"https://openalex.org/C120189094","wikidata":"https://www.wikidata.org/wiki/Q850281","display_name":"Radiometer","level":2,"score":0.5004732608795166},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42552363872528076},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3900757431983948},{"id":"https://openalex.org/C44838205","wikidata":"https://www.wikidata.org/wiki/Q127995","display_name":"Microwave","level":2,"score":0.37175896763801575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25249022245407104},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1283722221851349},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1035396158695221},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06744199991226196},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s19132987","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19132987","pdf_url":"https://www.mdpi.com/1424-8220/19/13/2987/pdf?version=1562409466","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:31284617","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31284617","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:48d2131bbd6e4f97a38f3fa77420e65c","is_oa":true,"landing_page_url":"https://doaj.org/article/48d2131bbd6e4f97a38f3fa77420e65c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 19, Iss 13, p 2987 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/13/2987/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19132987","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":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6651167","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6651167","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s19132987","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19132987","pdf_url":"https://www.mdpi.com/1424-8220/19/13/2987/pdf?version=1562409466","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1061963440","display_name":null,"funder_award_id":"OFSLRSS201910","funder_id":"https://openalex.org/F4320326981","funder_display_name":"State Key Laboratory of Remote Sensing Science"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4489811625","display_name":null,"funder_award_id":"201910","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4747469262","display_name":null,"funder_award_id":"41571427","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5916667428","display_name":null,"funder_award_id":"2018YFC1506502","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5969331164","display_name":null,"funder_award_id":"No. 41571427","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326981","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2955846576.pdf","grobid_xml":"https://content.openalex.org/works/W2955846576.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1500410627","https://openalex.org/W1665214252","https://openalex.org/W1871385855","https://openalex.org/W1965692465","https://openalex.org/W1976652722","https://openalex.org/W1992071871","https://openalex.org/W1995167593","https://openalex.org/W2016044589","https://openalex.org/W2026337749","https://openalex.org/W2029316659","https://openalex.org/W2051893691","https://openalex.org/W2055660411","https://openalex.org/W2058529145","https://openalex.org/W2058602417","https://openalex.org/W2075573792","https://openalex.org/W2078669597","https://openalex.org/W2093623508","https://openalex.org/W2099754454","https://openalex.org/W2100401723","https://openalex.org/W2103541076","https://openalex.org/W2114235122","https://openalex.org/W2116310314","https://openalex.org/W2120340076","https://openalex.org/W2121649497","https://openalex.org/W2135310007","https://openalex.org/W2141286727","https://openalex.org/W2147800946","https://openalex.org/W2150341604","https://openalex.org/W2159200140","https://openalex.org/W2161381512","https://openalex.org/W2163605009","https://openalex.org/W2170107986","https://openalex.org/W2172174961","https://openalex.org/W2348665375","https://openalex.org/W2374459197","https://openalex.org/W2421824873","https://openalex.org/W2582059183","https://openalex.org/W2760752962","https://openalex.org/W2795714960","https://openalex.org/W2914145411","https://openalex.org/W2919115771","https://openalex.org/W4205947740","https://openalex.org/W6631190155","https://openalex.org/W6680138562","https://openalex.org/W6744961894","https://openalex.org/W6750146076","https://openalex.org/W6759275630","https://openalex.org/W6996460791"],"related_works":["https://openalex.org/W2113351631","https://openalex.org/W1971795288","https://openalex.org/W2109138921","https://openalex.org/W2140822038","https://openalex.org/W2005230581","https://openalex.org/W1978078116","https://openalex.org/W2145900922","https://openalex.org/W2128740889","https://openalex.org/W2501564938","https://openalex.org/W3165919912"],"abstract_inverted_index":{"A":[0,155],"convolutional":[1],"neural":[2],"network":[3],"(CNN)":[4],"algorithm":[5,194],"was":[6,73,148,195],"developed":[7],"to":[8,38,43,75,81,204],"retrieve":[9],"the":[10,30,40,44,83,100,125,145,158,187,190,198],"land":[11,153],"surface":[12,59,84],"temperature":[13,54,60],"(LST)":[14],"from":[15,165],"Advanced":[16],"Microwave":[17],"Scanning":[18],"Radiometer":[19],"2":[20],"(AMSR2)":[21],"data":[22,26,56,61,164],"in":[23,99,140,209],"China.":[24,210],"Reference":[25],"were":[27,62],"selected":[28],"using":[29],"Moderate":[31],"Resolution":[32],"Imaging":[33],"Spectroradiometer":[34],"(MODIS)":[35],"LST":[36,192,206],"product":[37],"overcome":[39],"problem":[41],"related":[42],"need":[45],"for":[46],"synchronous":[47],"ground":[48,162],"observation":[49],"data.":[50],"The":[51,86,138],"AMSR2":[52],"brightness":[53],"(TB)":[55],"and":[57,67,70,103,129,176,197],"MODIS":[58],"randomly":[63],"divided":[64],"into":[65],"training":[66],"test":[68],"datasets,":[69],"a":[71,135],"CNN":[72,105,146,191],"constructed":[74],"simulate":[76],"passive":[77],"microwave":[78],"radiation":[79],"transmission":[80],"invert":[82],"temperature.":[85],"twelve":[87],"V/H":[88],"channel":[89],"combinations":[90],"(7.3,":[91],"10.65,":[92],"18.7,":[93],"23.8,":[94],"36.5,":[95],"89":[96],"GHz)":[97],"resulted":[98],"most":[101],"stable":[102],"accurate":[104],"retrieval":[106,159,193,199],"model.":[107],"Vertical":[108],"polarizations":[109,131],"performed":[110,132],"better":[111,133],"than":[112,134],"horizontal":[113,130],"polarizations;":[114],"however,":[115],"because":[116],"CNNs":[117],"rely":[118],"heavily":[119],"on":[120],"large":[121,151],"amounts":[122],"of":[123,127,157,181,189],"data,":[124],"combination":[126],"vertical":[128],"single":[136],"polarization.":[137],"retrievals":[139],"different":[141],"regions":[142],"indicated":[143,185],"that":[144,186],"accuracy":[147,188],"highest":[149],"over":[150],"bare":[152],"areas.":[154],"comparison":[156],"results":[160,200],"with":[161],"measurement":[163],"meteorological":[166],"stations":[167],"yielded":[168],"R<sup>2</sup>":[169],"=":[170,173],"0.987,":[171],"RMSE":[172],"2.69":[174],"K,":[175,183],"an":[177],"average":[178],"relative":[179],"error":[180],"2.57":[182],"which":[184],"high":[196],"can":[201],"be":[202],"applied":[203],"long-term":[205],"sequence":[207],"analysis":[208]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
