{"id":"https://openalex.org/W2901037032","doi":"https://doi.org/10.1109/igarss.2018.8518467","title":"High Resolution Albedo Estimation with Chinese GF-1 WFV Data","display_name":"High Resolution Albedo Estimation with Chinese GF-1 WFV Data","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901037032","doi":"https://doi.org/10.1109/igarss.2018.8518467","mag":"2901037032"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8518467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518467","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":"conference-paper","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/A5052377332","display_name":"Hongmin Zhou","orcid":"https://orcid.org/0000-0001-7384-6152"},"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":"Hongmin Zhou","raw_affiliation_strings":["The State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210128053","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102228932","display_name":"Ni Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I2800970254","display_name":"State Intellectual Property Office","ror":"https://ror.org/00zrjgm10","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800970254"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ni Hu","raw_affiliation_strings":["Patent examinaton cooperation center of sipo, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Patent examinaton cooperation center of sipo, Beijing, China","institution_ids":["https://openalex.org/I2800970254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040062050","display_name":"Tao He","orcid":"https://orcid.org/0000-0003-2079-7988"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao He","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054276054","display_name":"Shunlin Liang","orcid":"https://orcid.org/0000-0003-2708-9183"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shunlin Liang","raw_affiliation_strings":["Department of Geographical Sciences, University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geographical Sciences, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035656977","display_name":"Jindi Wang","orcid":"https://orcid.org/0000-0003-4962-4888"},"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":"Jindi Wang","raw_affiliation_strings":["The State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210128053","https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"3426","last_page":"3429"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9977999925613403,"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":0.9977999925613403,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9976000189781189,"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"}},{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9955999851226807,"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/albedo","display_name":"Albedo (alchemy)","score":0.8502086400985718},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.547103762626648},{"id":"https://openalex.org/keywords/energy-balance","display_name":"Energy balance","score":0.5457474589347839},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5387168526649475},{"id":"https://openalex.org/keywords/sky","display_name":"Sky","score":0.49372968077659607},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4566045105457306},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.45217329263687134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39395320415496826},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2653144598007202},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1443382203578949},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1332654058933258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13152259588241577}],"concepts":[{"id":"https://openalex.org/C195886398","wikidata":"https://www.wikidata.org/wiki/Q2110050","display_name":"Albedo (alchemy)","level":3,"score":0.8502086400985718},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.547103762626648},{"id":"https://openalex.org/C2777423268","wikidata":"https://www.wikidata.org/wiki/Q3663116","display_name":"Energy balance","level":2,"score":0.5457474589347839},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5387168526649475},{"id":"https://openalex.org/C73329638","wikidata":"https://www.wikidata.org/wiki/Q527","display_name":"Sky","level":2,"score":0.49372968077659607},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4566045105457306},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.45217329263687134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39395320415496826},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2653144598007202},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1443382203578949},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1332654058933258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13152259588241577},{"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/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"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/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.2018.8518467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518467","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":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1550235540","https://openalex.org/W1565508406","https://openalex.org/W1991529507","https://openalex.org/W2064746095","https://openalex.org/W2135843276","https://openalex.org/W2154908941","https://openalex.org/W2765367363","https://openalex.org/W2801598938","https://openalex.org/W6751213366"],"related_works":["https://openalex.org/W2528420922","https://openalex.org/W2245358137","https://openalex.org/W3010033880","https://openalex.org/W2041652656","https://openalex.org/W2587830478","https://openalex.org/W2554059268","https://openalex.org/W2919291704","https://openalex.org/W4286825833","https://openalex.org/W2328468600","https://openalex.org/W2369577330"],"abstract_inverted_index":{"Land":[0],"surface":[1,11],"albedo":[2,106],"(LSA)":[3],"is":[4,33,73,95],"an":[5],"important":[6],"parameter":[7],"charactering":[8],"the":[9,24,37,49,70,76,97],"land":[10],"energy":[12],"balance.":[13],"The":[14],"prevailing":[15],"LSA":[16,52,90],"products":[17],"have":[18],"supplied":[19],"a":[20,59,92],"well":[21],"understanding":[22],"of":[23,78,80,84,99],"global":[25],"weather":[26],"change":[27,39],"but":[28],"for":[29,101],"regional":[30],"use,":[31],"it":[32],"difficult":[34],"to":[35],"capture":[36],"patch-size":[38],"induced":[40],"by":[41],"human":[42],"activities.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47],"estimate":[48],"high":[50,74,93],"resolution":[51],"from":[53],"GF-1":[54],"WFV":[55],"data":[56],"based":[57],"on":[58],"direct":[60],"estimation":[61,71],"algorithm.":[62],"Results":[63],"compared":[64,87],"with":[65,75,88],"field":[66],"observation":[67],"indicate":[68],"that":[69],"accuracy":[72],"coefficient":[77],"determination":[79,100],"0.705":[81],"and":[82,103,109],"Bias":[83],"0.008.":[85],"When":[86],"Landsat":[89],"data,":[91],"consistency":[94],"performed,":[96],"coefficients":[98],"black":[102],"white":[104],"sky":[105],"are":[107],"0.943":[108],"0.941":[110],"respectively.":[111]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}