{"id":"https://openalex.org/W2964571302","doi":"https://doi.org/10.3390/rs11151815","title":"Super-Resolution Land Cover Mapping Based on the Convolutional Neural Network","display_name":"Super-Resolution Land Cover Mapping Based on the Convolutional Neural Network","publication_year":2019,"publication_date":"2019-08-02","ids":{"openalex":"https://openalex.org/W2964571302","doi":"https://doi.org/10.3390/rs11151815","mag":"2964571302"},"language":"en","primary_location":{"id":"doi:10.3390/rs11151815","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11151815","pdf_url":"https://www.mdpi.com/2072-4292/11/15/1815/pdf?version=1565179566","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/2072-4292/11/15/1815/pdf?version=1565179566","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059961515","display_name":"Yuanxin Jia","orcid":"https://orcid.org/0000-0003-2721-7456"},"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/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"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":"Yuanxin Jia","raw_affiliation_strings":["State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":"https://orcid.org/0000-0003-2721-7456","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yong Ge","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/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Ge","raw_affiliation_strings":["State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051301839","display_name":"Yuehong Chen","orcid":"https://orcid.org/0000-0001-9764-9911"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuehong Chen","raw_affiliation_strings":["School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068855486","display_name":"Sanping Li","orcid":"https://orcid.org/0000-0001-6355-9133"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sanping Li","raw_affiliation_strings":["DELLEMC CTO TRIGr, Beijing 100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DELLEMC CTO TRIGr, Beijing 100084, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011620756","display_name":"G.B.M. Heuvelink","orcid":"https://orcid.org/0000-0003-0959-9358"},"institutions":[{"id":"https://openalex.org/I913481162","display_name":"Wageningen University & Research","ror":"https://ror.org/04qw24q55","country_code":"NL","type":"education","lineage":["https://openalex.org/I913481162"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Gerard B.M. Heuvelink","raw_affiliation_strings":["Soil Geography and Landscape Group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soil Geography and Landscape Group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands","institution_ids":["https://openalex.org/I913481162"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012444471","display_name":"Feng Ling","orcid":"https://orcid.org/0000-0002-0685-4897"},"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/I4210105990","display_name":"Institute of Geodesy and Geophysics","ror":"https://ror.org/01gkn6j11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Ling","raw_affiliation_strings":["Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China"],"raw_orcid":"https://orcid.org/0000-0002-0685-4897","affiliations":[{"raw_affiliation_string":"Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China","institution_ids":["https://openalex.org/I4210105990","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793","https://openalex.org/I4210165038"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":5.6172,"has_fulltext":true,"cited_by_count":51,"citation_normalized_percentile":{"value":0.96215909,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"11","issue":"15","first_page":"1815","last_page":"1815"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.998199999332428,"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/T13890","display_name":"Remote Sensing and Land Use","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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9957000017166138,"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/land-cover","display_name":"Land cover","score":0.6620509028434753},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5551173090934753},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5549288988113403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5320858359336853},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.46142131090164185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3181321322917938},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18319284915924072},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.16015979647636414}],"concepts":[{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6620509028434753},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5551173090934753},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5549288988113403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5320858359336853},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.46142131090164185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3181321322917938},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18319284915924072},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.16015979647636414},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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":4,"locations":[{"id":"doi:10.3390/rs11151815","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11151815","pdf_url":"https://www.mdpi.com/2072-4292/11/15/1815/pdf?version=1565179566","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:472547c721934e41abc58ddd5c8d4d8f","is_oa":true,"landing_page_url":"https://doaj.org/article/472547c721934e41abc58ddd5c8d4d8f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 11, Iss 15, p 1815 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/15/1815/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11151815","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 11; Issue 15; Pages: 1815","raw_type":"Text"},{"id":"pmh:wur:oai:library.wur.nl:wurpubs/553014","is_oa":true,"landing_page_url":"https://research.wur.nl/en/publications/super-resolution-land-cover-mapping-based-on-the-convolutional-ne","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, 11(15)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3390/rs11151815","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11151815","pdf_url":"https://www.mdpi.com/2072-4292/11/15/1815/pdf?version=1565179566","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":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1963012803","display_name":null,"funder_award_id":"41531174","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5711551231","display_name":null,"funder_award_id":"41531179","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G828660308","display_name":null,"funder_award_id":"41725006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G835973773","display_name":null,"funder_award_id":"41531179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964571302.pdf","grobid_xml":"https://content.openalex.org/works/W2964571302.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W25391182","https://openalex.org/W1530196959","https://openalex.org/W1558351676","https://openalex.org/W1885185971","https://openalex.org/W1967831808","https://openalex.org/W1968243884","https://openalex.org/W1979149796","https://openalex.org/W1987779238","https://openalex.org/W1990368143","https://openalex.org/W2004815533","https://openalex.org/W2006929658","https://openalex.org/W2014739240","https://openalex.org/W2021605197","https://openalex.org/W2026461463","https://openalex.org/W2026999441","https://openalex.org/W2030440020","https://openalex.org/W2032021591","https://openalex.org/W2034104507","https://openalex.org/W2044352996","https://openalex.org/W2053596378","https://openalex.org/W2059976262","https://openalex.org/W2073626642","https://openalex.org/W2077756867","https://openalex.org/W2082302033","https://openalex.org/W2096919863","https://openalex.org/W2114038859","https://openalex.org/W2132240691","https://openalex.org/W2143105490","https://openalex.org/W2151747974","https://openalex.org/W2248723555","https://openalex.org/W2267317359","https://openalex.org/W2286929393","https://openalex.org/W2291068538","https://openalex.org/W2293936284","https://openalex.org/W2329900769","https://openalex.org/W2334867485","https://openalex.org/W2342474866","https://openalex.org/W2344641522","https://openalex.org/W2345205704","https://openalex.org/W2469277230","https://openalex.org/W2494341560","https://openalex.org/W2615806692","https://openalex.org/W2793461576","https://openalex.org/W2794252992","https://openalex.org/W2794276902","https://openalex.org/W2794385218","https://openalex.org/W2795024892","https://openalex.org/W2801097289","https://openalex.org/W2890443177","https://openalex.org/W2902746003","https://openalex.org/W2920767319","https://openalex.org/W2924260171","https://openalex.org/W2930359273","https://openalex.org/W2949351478","https://openalex.org/W2950079913","https://openalex.org/W2950385124","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963684088","https://openalex.org/W2963706010","https://openalex.org/W2963995737","https://openalex.org/W3105127913","https://openalex.org/W6633345542","https://openalex.org/W6647681815","https://openalex.org/W6654196349"],"related_works":["https://openalex.org/W4232403550","https://openalex.org/W623607250","https://openalex.org/W4245429118","https://openalex.org/W4205110281","https://openalex.org/W4212927854","https://openalex.org/W4211151614","https://openalex.org/W4244798043","https://openalex.org/W4361866086","https://openalex.org/W4251969024","https://openalex.org/W1537861260"],"abstract_inverted_index":{"Super-resolution":[0],"mapping":[1],"(SRM)":[2],"is":[3,90,98],"used":[4,27,99],"to":[5,28,43,58,68,100,120,143],"obtain":[6],"fine-scale":[7,30,111],"land":[8,31,112],"cover":[9,32,113],"maps":[10],"from":[11],"coarse":[12,106],"remote":[13,107],"sensing":[14,108],"images.":[15],"Spatial":[16],"attraction,":[17],"geostatistics,":[18],"and":[19,54,92,110,165],"using":[20],"prior":[21],"geographic":[22,52,171],"information":[23],"are":[24],"conventional":[25],"approaches":[26],"derive":[29],"maps.":[33,114],"As":[34],"the":[35,48,84,102,122,125,132,136,154,167],"convolutional":[36],"neural":[37],"network":[38],"(CNN)":[39],"has":[40],"been":[41],"shown":[42],"be":[44,64],"effective":[45],"in":[46],"capturing":[47],"spatial":[49],"characteristics":[50],"of":[51,71,124,135,148,169],"objects":[53],"extrapolating":[55],"calibrated":[56],"methods":[57],"other":[59],"study":[60],"areas,":[61],"it":[62],"may":[63],"a":[65,78],"useful":[66],"approach":[67],"overcome":[69],"limitations":[70],"current":[72],"SRM":[73,80,87,138,151,156],"methods.":[74,152],"In":[75],"this":[76],"paper,":[77],"new":[79],"method":[81,140,158],"based":[82],"on":[83],"CNN":[85,88,97,139,157],"(":[86],")":[89],"proposed":[91,126,137,155],"tested.":[93],"Specifically,":[94],"an":[95],"encoder-decoder":[96],"model":[101],"nonlinear":[103],"relationship":[104],"between":[105],"images":[109],"Two":[115],"real-image":[116],"experiments":[117],"were":[118],"conducted":[119],"analyze":[121],"effectiveness":[123],"method.":[127],"The":[128],"results":[129],"demonstrate":[130],"that":[131,147],"overall":[133],"accuracy":[134],"was":[141,159],"3%":[142],"5%":[144],"higher":[145],"than":[146],"two":[149],"existing":[150],"Moreover,":[153],"validated":[160],"by":[161],"visualizing":[162],"output":[163],"features":[164],"analyzing":[166],"performance":[168],"different":[170],"objects.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":9}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}