{"id":"https://openalex.org/W2994400255","doi":"https://doi.org/10.3390/rs11232881","title":"Next Generation Mapping: Combining Deep Learning, Cloud Computing, and Big Remote Sensing Data","display_name":"Next Generation Mapping: Combining Deep Learning, Cloud Computing, and Big Remote Sensing Data","publication_year":2019,"publication_date":"2019-12-03","ids":{"openalex":"https://openalex.org/W2994400255","doi":"https://doi.org/10.3390/rs11232881","mag":"2994400255"},"language":"en","primary_location":{"id":"doi:10.3390/rs11232881","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11232881","pdf_url":"https://www.mdpi.com/2072-4292/11/23/2881/pdf?version=1575447548","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/2072-4292/11/23/2881/pdf?version=1575447548","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022678523","display_name":"Leandro Parente","orcid":"https://orcid.org/0000-0003-1589-0467"},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Leandro Parente","raw_affiliation_strings":["Image Processing and GIS Laboratory (LAPIG), Federal University of Goi\u00e1s (UFG), Goi\u00e2nia-GO 74001-970, Brazil"],"affiliations":[{"raw_affiliation_string":"Image Processing and GIS Laboratory (LAPIG), Federal University of Goi\u00e1s (UFG), Goi\u00e2nia-GO 74001-970, Brazil","institution_ids":["https://openalex.org/I68106152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038602300","display_name":"Evandro Carrijo Taquary","orcid":null},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Evandro Taquary","raw_affiliation_strings":["Image Processing and GIS Laboratory (LAPIG), Federal University of Goi\u00e1s (UFG), Goi\u00e2nia-GO 74001-970, Brazil"],"affiliations":[{"raw_affiliation_string":"Image Processing and GIS Laboratory (LAPIG), Federal University of Goi\u00e1s (UFG), Goi\u00e2nia-GO 74001-970, Brazil","institution_ids":["https://openalex.org/I68106152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070973270","display_name":"Ana Paula Matos","orcid":"https://orcid.org/0000-0002-8000-3046"},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ana Silva","raw_affiliation_strings":["Image Processing and GIS Laboratory (LAPIG), Federal University of Goi\u00e1s (UFG), Goi\u00e2nia-GO 74001-970, Brazil"],"affiliations":[{"raw_affiliation_string":"Image Processing and GIS Laboratory (LAPIG), Federal University of Goi\u00e1s (UFG), Goi\u00e2nia-GO 74001-970, Brazil","institution_ids":["https://openalex.org/I68106152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002899122","display_name":"Carlos Souza","orcid":"https://orcid.org/0000-0002-0205-6134"},"institutions":[{"id":"https://openalex.org/I4210135491","display_name":"Imazon","ror":"https://ror.org/03z114n70","country_code":"BR","type":"nonprofit","lineage":["https://openalex.org/I4210135491"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carlos Souza","raw_affiliation_strings":["IMAZON \u2013 Amazon Institute of People and the Environment, Bel\u00e9m-PA 66055-200, Brazil"],"affiliations":[{"raw_affiliation_string":"IMAZON \u2013 Amazon Institute of People and the Environment, Bel\u00e9m-PA 66055-200, Brazil","institution_ids":["https://openalex.org/I4210135491"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071673783","display_name":"Laerte Guimar\u00e3es Ferreira","orcid":"https://orcid.org/0000-0002-0489-1141"},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Laerte Ferreira","raw_affiliation_strings":["Image Processing and GIS Laboratory (LAPIG), Federal University of Goi\u00e1s (UFG), Goi\u00e2nia-GO 74001-970, Brazil"],"affiliations":[{"raw_affiliation_string":"Image Processing and GIS Laboratory (LAPIG), Federal University of Goi\u00e1s (UFG), Goi\u00e2nia-GO 74001-970, Brazil","institution_ids":["https://openalex.org/I68106152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022678523"],"corresponding_institution_ids":["https://openalex.org/I68106152"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":6.412,"has_fulltext":true,"cited_by_count":72,"citation_normalized_percentile":{"value":0.96937247,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"11","issue":"23","first_page":"2881","last_page":"2881"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9937000274658203,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9937000274658203,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9916999936103821,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7087317705154419},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7000482082366943},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6604530215263367},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5332623720169067},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5197579264640808},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.501105546951294},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4884416162967682},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4739546775817871},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46653276681900024},{"id":"https://openalex.org/keywords/earth-observation","display_name":"Earth observation","score":0.4481012523174286},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4324607849121094},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4172981381416321},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.285530686378479},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07770395278930664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7087317705154419},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7000482082366943},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6604530215263367},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5332623720169067},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5197579264640808},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.501105546951294},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4884416162967682},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4739546775817871},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46653276681900024},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.4481012523174286},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4324607849121094},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4172981381416321},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.285530686378479},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07770395278930664},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs11232881","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11232881","pdf_url":"https://www.mdpi.com/2072-4292/11/23/2881/pdf?version=1575447548","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:mdpi.com:/2072-4292/11/23/2881/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11232881","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 23; Pages: 2881","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11232881","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11232881","pdf_url":"https://www.mdpi.com/2072-4292/11/23/2881/pdf?version=1575447548","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G1429890386","display_name":null,"funder_award_id":"(CNPq","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G3331681876","display_name":null,"funder_award_id":"CAPES","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G3598003677","display_name":null,"funder_award_id":"GBMF6898","funder_id":"https://openalex.org/F4320306202","funder_display_name":"Gordon and Betty Moore Foundation"},{"id":"https://openalex.org/G3601516360","display_name":null,"funder_award_id":"Brazil","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G3938906640","display_name":null,"funder_award_id":"(CAPES)","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G5079005330","display_name":null,"funder_award_id":"support","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G692611148","display_name":null,"funder_award_id":"Brazil","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"}],"funders":[{"id":"https://openalex.org/F4320306202","display_name":"Gordon and Betty Moore Foundation","ror":"https://ror.org/006wxqw41"},{"id":"https://openalex.org/F4320315140","display_name":"Nature Conservancy","ror":"https://ror.org/0563w1497"},{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2994400255.pdf","grobid_xml":"https://content.openalex.org/works/W2994400255.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W1510997936","https://openalex.org/W1578712794","https://openalex.org/W1901129140","https://openalex.org/W1901616594","https://openalex.org/W1965825034","https://openalex.org/W1980038761","https://openalex.org/W1981213426","https://openalex.org/W1987161776","https://openalex.org/W2001510610","https://openalex.org/W2003865280","https://openalex.org/W2011010318","https://openalex.org/W2017054776","https://openalex.org/W2024968541","https://openalex.org/W2029316659","https://openalex.org/W2045040977","https://openalex.org/W2064675550","https://openalex.org/W2073555669","https://openalex.org/W2077509829","https://openalex.org/W2092372132","https://openalex.org/W2095705004","https://openalex.org/W2134929199","https://openalex.org/W2199031689","https://openalex.org/W2243134569","https://openalex.org/W2261059368","https://openalex.org/W2274039986","https://openalex.org/W2401246392","https://openalex.org/W2514858538","https://openalex.org/W2521200999","https://openalex.org/W2560167313","https://openalex.org/W2560311620","https://openalex.org/W2587914027","https://openalex.org/W2592351922","https://openalex.org/W2598998899","https://openalex.org/W2651327912","https://openalex.org/W2658383164","https://openalex.org/W2725897987","https://openalex.org/W2757637497","https://openalex.org/W2759938573","https://openalex.org/W2764034829","https://openalex.org/W2782522152","https://openalex.org/W2793603191","https://openalex.org/W2797997284","https://openalex.org/W2900217217","https://openalex.org/W2900436152","https://openalex.org/W2903282641","https://openalex.org/W2911964244","https://openalex.org/W2915731581","https://openalex.org/W2919115771","https://openalex.org/W2921258572","https://openalex.org/W2921386860","https://openalex.org/W2922502341","https://openalex.org/W2940726923","https://openalex.org/W2946293204","https://openalex.org/W2947138161","https://openalex.org/W2953011380","https://openalex.org/W2954366849","https://openalex.org/W2955034228","https://openalex.org/W3125311201","https://openalex.org/W4293713156","https://openalex.org/W6674330103","https://openalex.org/W6690663885","https://openalex.org/W6713134421","https://openalex.org/W6739705278","https://openalex.org/W6757107679","https://openalex.org/W6762670612"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4394895745","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4244478748","https://openalex.org/W2910064364","https://openalex.org/W4200136508"],"abstract_inverted_index":{"The":[0,85,103],"rapid":[1],"growth":[2],"of":[3,12,38,51,61,147,162,193],"satellites":[4],"orbiting":[5],"the":[6,35,59,94,98,122,131,140,145,160,172],"planet":[7],"is":[8],"generating":[9],"massive":[10],"amounts":[11],"data":[13,195],"for":[14,109],"Earth":[15,100],"science":[16],"applications.":[17],"Concurrently,":[18],"state-of-the-art":[19],"deep-learning-based":[20],"algorithms":[21,88,150],"and":[22,71,112,119,125,128,159],"cloud":[23],"computing":[24],"infrastructure":[25],"have":[26],"become":[27],"available":[28],"with":[29],"a":[30,56,81,135,153,190],"great":[31],"potential":[32],"to":[33,77,183],"revolutionize":[34],"image":[36],"processing":[37],"satellite":[39,194],"remote":[40],"sensing.":[41],"Within":[42],"this":[43,45,178],"context,":[44],"study":[46,179],"evaluated,":[47],"based":[48],"on":[49,152],"thousands":[50],"PlanetScope":[52],"images":[53],"obtained":[54],"over":[55],"12-month":[57],"period,":[58],"performance":[60],"three":[62],"machine":[63],"learning":[64,87,142,149],"approaches":[65,76],"(random":[66],"forest,":[67],"long":[68],"short-term":[69],"memory-LSTM,":[70],"U-Net).":[72],"We":[73],"applied":[74],"these":[75,163],"mapped":[78],"pasturelands":[79],"in":[80,121,130,156,177],"Central":[82],"Brazil":[83],"region.":[84],"deep":[86,141,148],"were":[89],"implemented":[90],"using":[91,139],"TensorFlow,":[92],"while":[93],"random":[95,113],"forest":[96,114],"utilized":[97],"Google":[99],"Engine":[101],"platform.":[102],"accuracy":[104],"assessment":[105],"presented":[106],"F1":[107],"scores":[108],"U-Net,":[110],"LSTM,":[111],"of,":[115],"respectively,":[116],"96.94%,":[117],"98.83%,":[118],"95.53%":[120],"validation":[123],"data,":[124,133],"94.06%,":[126],"87.97%,":[127],"82.57%":[129],"test":[132],"indicating":[134],"better":[136],"classification":[137],"efficiency":[138],"approaches.":[143],"Although":[144],"use":[146],"depends":[151],"high":[154],"investment":[155],"calibration":[157],"samples":[158],"generalization":[161],"methods":[164],"requires":[165],"further":[166],"investigations,":[167],"our":[168],"results":[169],"suggest":[170],"that":[171,188],"neural":[173],"network":[174],"architectures":[175],"developed":[176],"can":[180],"be":[181],"used":[182],"map":[184],"large":[185],"geographic":[186],"regions":[187],"consider":[189],"wide":[191],"variety":[192],"(e.g.,":[196],"PlanetScope,":[197],"Sentinel-2,":[198],"Landsat-8).":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":5}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
