{"id":"https://openalex.org/W4367183703","doi":"https://doi.org/10.3390/rs15092285","title":"Assessing the Accuracy and Consistency of Six Fine-Resolution Global Land Cover Products Using a Novel Stratified Random Sampling Validation Dataset","display_name":"Assessing the Accuracy and Consistency of Six Fine-Resolution Global Land Cover Products Using a Novel Stratified Random Sampling Validation Dataset","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4367183703","doi":"https://doi.org/10.3390/rs15092285"},"language":"en","primary_location":{"id":"doi:10.3390/rs15092285","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15092285","pdf_url":"https://www.mdpi.com/2072-4292/15/9/2285/pdf?version=1682578437","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/9/2285/pdf?version=1682578437","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068851110","display_name":"Tingting Zhao","orcid":"https://orcid.org/0009-0004-4051-6930"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Zhao","raw_affiliation_strings":["College of Geomatics, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China","International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China"],"affiliations":[{"raw_affiliation_string":"College of Geomatics, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China","institution_ids":["https://openalex.org/I110440473"]},{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320872","display_name":"Xiao Zhang","orcid":"https://orcid.org/0000-0002-3022-2830"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao Zhang","raw_affiliation_strings":["International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019584991","display_name":"Yuan Gao","orcid":"https://orcid.org/0000-0003-1089-9139"},"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/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":"Yuan Gao","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Faculty of Geographical Sciences, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Faculty of Geographical Sciences, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100927392","display_name":"Mi Jun","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"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":"Jun Mi","raw_affiliation_strings":["International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101478204","display_name":"Wendi Liu","orcid":"https://orcid.org/0000-0001-7294-4404"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"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":"Wendi Liu","raw_affiliation_strings":["International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065574010","display_name":"Jinqing Wang","orcid":"https://orcid.org/0000-0002-0768-6960"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"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":"Jinqing Wang","raw_affiliation_strings":["International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026908119","display_name":"Mihang Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"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":"Mihang Jiang","raw_affiliation_strings":["International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107865072","display_name":"Liangyun Liu","orcid":"https://orcid.org/0000-0002-7987-037X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"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":"Liangyun Liu","raw_affiliation_strings":["International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100320872"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210096250","https://openalex.org/I4210137199"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":7.4855,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.98111937,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"15","issue":"9","first_page":"2285","last_page":"2285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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":0.9994000196456909,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9932000041007996,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.8085010051727295},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6033609509468079},{"id":"https://openalex.org/keywords/stratified-sampling","display_name":"Stratified sampling","score":0.5932447910308838},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5508638620376587},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4431875944137573},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.4174897074699402},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39944693446159363},{"id":"https://openalex.org/keywords/physical-geography","display_name":"Physical geography","score":0.3829059898853302},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.32983386516571045},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30384212732315063},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.299744188785553},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22891095280647278},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1858953833580017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08321991562843323}],"concepts":[{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.8085010051727295},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6033609509468079},{"id":"https://openalex.org/C49898467","wikidata":"https://www.wikidata.org/wiki/Q1517706","display_name":"Stratified sampling","level":2,"score":0.5932447910308838},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5508638620376587},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4431875944137573},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.4174897074699402},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39944693446159363},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.3829059898853302},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.32983386516571045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30384212732315063},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.299744188785553},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22891095280647278},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1858953833580017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08321991562843323},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15092285","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15092285","pdf_url":"https://www.mdpi.com/2072-4292/15/9/2285/pdf?version=1682578437","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fdb3d5c57bf14647b4768c21b7bf25d5","is_oa":true,"landing_page_url":"https://doaj.org/article/fdb3d5c57bf14647b4768c21b7bf25d5","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 9, p 2285 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/9/2285/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15092285","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":"Remote Sensing; Volume 15; Issue 9; Pages: 2285","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15092285","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15092285","pdf_url":"https://www.mdpi.com/2072-4292/15/9/2285/pdf?version=1682578437","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2434468141","display_name":null,"funder_award_id":"42201499","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3728277492","display_name":null,"funder_award_id":"41825002","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"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4367183703.pdf"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1973472905","https://openalex.org/W1980385468","https://openalex.org/W2001510610","https://openalex.org/W2006929658","https://openalex.org/W2011500029","https://openalex.org/W2012950829","https://openalex.org/W2026400855","https://openalex.org/W2035563469","https://openalex.org/W2043540570","https://openalex.org/W2051317870","https://openalex.org/W2056425951","https://openalex.org/W2058963764","https://openalex.org/W2068167377","https://openalex.org/W2076124820","https://openalex.org/W2111743232","https://openalex.org/W2118096631","https://openalex.org/W2126822288","https://openalex.org/W2135132094","https://openalex.org/W2159773298","https://openalex.org/W2166736950","https://openalex.org/W2168474783","https://openalex.org/W2176635760","https://openalex.org/W2297138406","https://openalex.org/W2584743460","https://openalex.org/W2596754347","https://openalex.org/W2625380067","https://openalex.org/W2769464645","https://openalex.org/W2802971269","https://openalex.org/W2885908041","https://openalex.org/W2897344053","https://openalex.org/W2901950222","https://openalex.org/W2913323966","https://openalex.org/W2920254659","https://openalex.org/W2953011380","https://openalex.org/W3002608077","https://openalex.org/W3023539965","https://openalex.org/W3035243566","https://openalex.org/W3090679658","https://openalex.org/W3093100963","https://openalex.org/W3094306770","https://openalex.org/W3094643344","https://openalex.org/W3118235193","https://openalex.org/W3145752794","https://openalex.org/W3194927568","https://openalex.org/W3207200417","https://openalex.org/W4214638169","https://openalex.org/W4220772366","https://openalex.org/W4220901066","https://openalex.org/W4281619551","https://openalex.org/W4292977286","https://openalex.org/W4312517337","https://openalex.org/W4316013374","https://openalex.org/W6697342970"],"related_works":["https://openalex.org/W2749040130","https://openalex.org/W2185247127","https://openalex.org/W2598926251","https://openalex.org/W2015243896","https://openalex.org/W2013746842","https://openalex.org/W2291617829","https://openalex.org/W3160714646","https://openalex.org/W3041854396","https://openalex.org/W804658097","https://openalex.org/W1987934828"],"abstract_inverted_index":{"Over":[0],"the":[1,6,12,99,114,122,138,147,171,180,202,208,238,245,257,261,275,297,303,336,341,349],"past":[2],"decades,":[3],"benefiting":[4],"from":[5,244],"development":[7],"of":[8,30,58,101,103,116,201,211,240,247,294,302,344],"computing":[9],"capacity":[10],"and":[11,17,48,106,128,160,167,193,213,232,250,273,289,306,313,316,348],"free":[13],"access":[14],"to":[15,357],"Landsat":[16],"Sentinel":[18],"imagery,":[19],"several":[20],"fine-resolution":[21,345],"global":[22,127,148,181],"land":[23,151,184],"cover":[24,152,185],"(GLC)":[25],"products":[26,120,204,216,243,264,278,310,360],"(with":[27],"a":[28,56,66,77,93],"resolution":[29],"10":[31,149,304],"m":[32,150,183,305,308],"or":[33,61,331],"30":[34,182,307],"m)":[35],"have":[36],"been":[37],"developed":[38,91,123],"(GlobeLand30,":[39],"FROM-GLC30,":[40],"GLC_FCS30,":[41],"FROM-GLC10,":[42],"European":[43],"Space":[44],"Agency":[45],"(ESA)":[46],"WorldCover":[47,136],"ESRI":[49,161,266],"Land":[50,162,267],"Cover).":[51],"However,":[52],"there":[53],"is":[54],"still":[55],"lack":[57],"consistency":[59,239,284],"analysis":[60],"comprehensive":[62],"accuracy":[63,115,141,174,200],"assessment":[64,350],"using":[65,92,121],"common":[67],"validation":[68,83,88],"dataset":[69,84,125,338],"for":[70,285,362],"these":[71,117,317],"GLC":[72,82,119,203,215,242,263,277,309,346,359],"products.":[73],"In":[74,292],"this":[75],"study,":[76],"novel":[78],"stratified":[79],"random":[80],"sampling":[81],"(SRS_Val)":[85],"containing":[86],"79,112":[87],"samples":[89,102],"was":[90,254],"visual":[94],"interpretation":[95],"method,":[96],"significantly":[97,206],"increasing":[98],"number":[100],"heterogeneous":[104,224,329],"regions":[105],"rare":[107],"land-cover":[108,333],"types.":[109,334],"Then,":[110],"we":[111,236],"quantitatively":[112],"assessed":[113],"six":[118,241,276],"SRS_Val":[124,337],"at":[126],"regional":[129],"scales.":[130],"The":[131,198],"results":[132,351],"reveal":[133],"that":[134,168,256,274],"ESA":[135],"achieved":[137],"highest":[139],"overall":[140,173],"(of":[142,175],"70.54%":[143],"\u00b1":[144,158,165,177,191,196],"9%)":[145,178,192],"among":[146,179],"products,":[153,347],"followed":[154,187],"by":[155,188],"FROM-GLC10":[156],"(68.95%":[157],"8%)":[159],"Cover":[163],"(58.90%":[164],"7%)":[166],"GLC_FCS30":[169],"had":[170,217],"best":[172],"72.55%":[176],"datasets,":[186],"GlobeLand30":[189],"(69.96%":[190],"FROM-GLC30":[194],"(66.30%":[195],"8%).":[197],"mapping":[199,219],"decreased":[205],"with":[207,223,354],"increased":[209],"heterogeneity":[210],"landscapes,":[212,225,330],"all":[214],"poor":[218],"accuracies":[220],"in":[221,230,282,323],"countries":[222,229],"such":[226],"as":[227],"some":[228],"Central":[231],"Southern":[233],"Africa.":[234],"Finally,":[235],"investigated":[237],"perspective":[246],"area":[248,258,283],"distributions":[249],"spatial":[251,295],"patterns.":[252],"It":[253],"found":[255],"consistencies":[259],"between":[260],"five":[262],"(except":[265],"Cover)":[268],"were":[269,311,320],"greater":[270],"than":[271],"85%":[272],"showed":[279],"large":[280],"discrepancies":[281],"grassland,":[286],"shrubland,":[287],"wetlands":[288],"bare":[290],"land.":[291],"terms":[293],"patterns,":[296],"totally":[298],"inconsistent":[299,318],"pixel":[300],"proportions":[301],"23.58%":[312],"14.12%,":[314],"respectively,":[315],"pixels":[319],"mainly":[321],"distributed":[322],"transition":[324],"zones,":[325],"complex":[326],"terrains":[327],"regions,":[328],"mixed":[332],"Therefore,":[335],"well":[339],"supports":[340],"quantitative":[342,355],"evaluation":[343],"provide":[352],"users":[353],"metrics":[356],"select":[358],"suitable":[361],"their":[363],"needs.":[364]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2023-04-28T00:00:00"}