{"id":"https://openalex.org/W4389206140","doi":"https://doi.org/10.3390/rs15235578","title":"Research on the Characteristic Spectral Band Determination for Water Quality Parameters Retrieval Based on Satellite Hyperspectral Data","display_name":"Research on the Characteristic Spectral Band Determination for Water Quality Parameters Retrieval Based on Satellite Hyperspectral Data","publication_year":2023,"publication_date":"2023-11-30","ids":{"openalex":"https://openalex.org/W4389206140","doi":"https://doi.org/10.3390/rs15235578"},"language":"en","primary_location":{"id":"doi:10.3390/rs15235578","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15235578","pdf_url":"https://www.mdpi.com/2072-4292/15/23/5578/pdf?version=1701395542","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/2072-4292/15/23/5578/pdf?version=1701395542","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101273551","display_name":"Xietian Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210120238","display_name":"PowerChina (China)","ror":"https://ror.org/01varr368","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120238"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xietian Xia","raw_affiliation_strings":["China Construction Power and Environment Engineering Co., Ltd., Nanjing 210012, China","Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China","State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China"],"affiliations":[{"raw_affiliation_string":"China Construction Power and Environment Engineering Co., Ltd., Nanjing 210012, China","institution_ids":["https://openalex.org/I4210120238"]},{"raw_affiliation_string":"Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047322900","display_name":"Hui L\u00fc","orcid":"https://orcid.org/0000-0003-1640-239X"},"institutions":[{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Lu","raw_affiliation_strings":["Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China","Tsinghua University (Department of Earth System Science)\u2014Xi\u2019an Institute of Surveying and Mapping Joint Research Center for Next-Generation Smart Mapping, Beijing 100084, China"],"affiliations":[{"raw_affiliation_string":"Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua University (Department of Earth System Science)\u2014Xi\u2019an Institute of Surveying and Mapping Joint Research Center for Next-Generation Smart Mapping, Beijing 100084, China","institution_ids":["https://openalex.org/I4210114963","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069575392","display_name":"Zenghui Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120238","display_name":"PowerChina (China)","ror":"https://ror.org/01varr368","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120238"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zenghui Xu","raw_affiliation_strings":["China Construction Power and Environment Engineering Co., Ltd., Nanjing 210012, China"],"affiliations":[{"raw_affiliation_string":"China Construction Power and Environment Engineering Co., Ltd., Nanjing 210012, China","institution_ids":["https://openalex.org/I4210120238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389927","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-4675-5367"},"institutions":[{"id":"https://openalex.org/I4210120238","display_name":"PowerChina (China)","ror":"https://ror.org/01varr368","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120238"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["China Construction Power and Environment Engineering Co., Ltd., Nanjing 210012, China"],"affiliations":[{"raw_affiliation_string":"China Construction Power and Environment Engineering Co., Ltd., Nanjing 210012, China","institution_ids":["https://openalex.org/I4210120238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087772443","display_name":"Yu\u2010Shi Tian","orcid":"https://orcid.org/0000-0002-8988-9453"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Tian","raw_affiliation_strings":["State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047322900"],"corresponding_institution_ids":["https://openalex.org/I4210114963","https://openalex.org/I99065089"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.7333,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.86776221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"15","issue":"23","first_page":"5578","last_page":"5578"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9922999739646912,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9922999739646912,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9685999751091003,"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/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9492999911308289,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing 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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9081487655639648},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6913890838623047},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.6429237127304077},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5892547965049744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5643653273582458},{"id":"https://openalex.org/keywords/water-quality","display_name":"Water quality","score":0.46718648076057434},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4604971408843994},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4446724057197571},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.43256402015686035},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4244895875453949},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4207439124584198},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3819640278816223},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3281628489494324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2542850375175476},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09094524383544922}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9081487655639648},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6913890838623047},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.6429237127304077},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5892547965049744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5643653273582458},{"id":"https://openalex.org/C2780797713","wikidata":"https://www.wikidata.org/wiki/Q625376","display_name":"Water quality","level":2,"score":0.46718648076057434},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4604971408843994},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4446724057197571},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.43256402015686035},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4244895875453949},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4207439124584198},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3819640278816223},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3281628489494324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2542850375175476},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09094524383544922},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs15235578","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15235578","pdf_url":"https://www.mdpi.com/2072-4292/15/23/5578/pdf?version=1701395542","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:fd6f57346e794451a7920f1932f88f80","is_oa":true,"landing_page_url":"https://doaj.org/article/fd6f57346e794451a7920f1932f88f80","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 23, p 5578 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs15235578","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15235578","pdf_url":"https://www.mdpi.com/2072-4292/15/23/5578/pdf?version=1701395542","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":"Clean water and sanitation","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/6"}],"awards":[{"id":"https://openalex.org/G5417657831","display_name":null,"funder_award_id":"2022M723","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6786260816","display_name":null,"funder_award_id":"SMK202205","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7325710158","display_name":null,"funder_award_id":"2022M723535","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320321940","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08"},{"id":"https://openalex.org/F4320327002","display_name":"State Key Laboratory of Urban Water Resource and Environment","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389206140.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W339356786","https://openalex.org/W615671193","https://openalex.org/W1972212763","https://openalex.org/W1982965630","https://openalex.org/W1993178254","https://openalex.org/W1998860970","https://openalex.org/W1999676742","https://openalex.org/W2027975676","https://openalex.org/W2057320569","https://openalex.org/W2065141629","https://openalex.org/W2076392573","https://openalex.org/W2085965017","https://openalex.org/W2129932080","https://openalex.org/W2131713496","https://openalex.org/W2137178462","https://openalex.org/W2141193993","https://openalex.org/W2152021051","https://openalex.org/W2168956990","https://openalex.org/W2191483095","https://openalex.org/W2513884524","https://openalex.org/W2619461124","https://openalex.org/W2783167381","https://openalex.org/W2901013208","https://openalex.org/W2943838109","https://openalex.org/W2985753927","https://openalex.org/W3004942926","https://openalex.org/W3111153305","https://openalex.org/W3111428295","https://openalex.org/W3178092465","https://openalex.org/W3206290166","https://openalex.org/W3213652305","https://openalex.org/W4200566407","https://openalex.org/W4206736393","https://openalex.org/W4281975170","https://openalex.org/W4292553595","https://openalex.org/W4303980539","https://openalex.org/W4309581918","https://openalex.org/W4311545703","https://openalex.org/W4362660542","https://openalex.org/W4367669260","https://openalex.org/W4395104057","https://openalex.org/W6798133375"],"related_works":["https://openalex.org/W2018850895","https://openalex.org/W2758145160","https://openalex.org/W4205174160","https://openalex.org/W1978077614","https://openalex.org/W2889956472","https://openalex.org/W2799746630","https://openalex.org/W2040117879","https://openalex.org/W1982418987","https://openalex.org/W2540644541","https://openalex.org/W2020749638"],"abstract_inverted_index":{"Hyperspectral":[0],"remote":[1,317],"sensing":[2,318],"technology":[3],"has":[4,211],"been":[5],"widely":[6],"used":[7,123],"in":[8,103],"water":[9,21,56,95,139,165,241,313],"quality":[10,22,57,96,140,166,242,314],"monitoring.":[11],"However,":[12],"while":[13],"it":[14,24],"provides":[15,287],"more":[16,222],"detailed":[17],"spectral":[18,53,112,136,183,238,300],"information":[19,100],"for":[20,101,124,161,201,235,290,305],"monitoring,":[23],"also":[25],"gives":[26],"rise":[27],"to":[28,49,65,73],"issues":[29],"such":[30],"as":[31,197],"data":[32,35,67,71,87,93,295],"redundancy,":[33],"complex":[34],"processing,":[36],"and":[37,72,94,110,122,154,175,218,251,269,282,310],"low":[38],"spatial":[39],"resolution.":[40],"In":[41],"this":[42],"study,":[43],"a":[44,320],"novel":[45],"approach":[46,133],"was":[47,168],"proposed":[48,143],"determine":[50],"the":[51,75,86,108,115,125,131,146,149,158,171,192,202,204,208,215,226,236,254,257,302,311],"characteristic":[52,135,237,299],"band":[54,184,188,219,223,233],"of":[55,69,79,90,114,127,134,138,151,163,181,240,256,293,298,307],"parameters":[58,141,167],"based":[59,97,144],"on":[60,98,145],"satellite":[61,91],"hyperspectral":[62,70,92,128,294],"data,":[63],"aiming":[64],"improve":[66],"utilization":[68,292],"achieve":[74],"same":[76],"precision":[77],"monitoring":[78,315],"multispectral":[80,117,308,321],"data.":[81,106,129],"This":[82,285],"paper":[83,286],"first":[84],"introduces":[85],"matching":[88],"method":[89,174,180,210],"space\u2013time":[99],"guidance":[102,289],"collecting":[104],"research":[105],"Secondly,":[107],"customizable":[109],"fixed":[111],"bands":[113,137,153,239,263],"existing":[116],"camera":[118],"products":[119],"were":[120],"studied":[121],"preprocessing":[126],"Then,":[130],"determination":[132,194,297],"is":[142,230],"correlation":[147],"between":[148,170],"reflectance":[150],"different":[152,182,187],"regression":[155],"modeling.":[156],"Next,":[157],"model":[159,227,260],"performance":[160],"retrieval":[162],"various":[164],"compared":[169],"typical":[172],"empirical":[173,216],"artificial":[176],"neural":[177],"network":[178],"(ANN)":[179],"sets":[185],"with":[186,261],"numbers.":[189],"Finally,":[190],"taking":[191],"adjusted":[193],"coefficient":[195],"R2\u00af":[196,255],"an":[198,231],"evaluation":[199],"index":[200,246],"models,":[203],"results":[205],"show":[206],"that":[207],"ANN":[209,259],"obvious":[212],"advantages":[213],"over":[214],"method,":[217],"set":[220],"providing":[221],"options":[224],"improves":[225],"performance.":[228],"There":[229],"optimal":[232,258],"number":[234],"parameters.":[243],"For":[244],"permanganate":[245],"(CODMn),":[247],"dissolved":[248],"oxygen":[249],"(DO),":[250],"conductivity":[252],"(EC),":[253],"three":[262],"can":[264],"reach":[265],"about":[266],"0.68,":[267],"0.43,":[268],"0.49,":[270],"respectively,":[271],"whose":[272],"mean":[273],"absolute":[274],"percentage":[275],"error":[276],"(MAPE)":[277],"values":[278],"are":[279],"14.02%,":[280],"16.26%,":[281],"17.52%,":[283],"respectively.":[284],"technical":[288],"efficient":[291],"by":[296],"bands,":[301],"theoretical":[303],"basis":[304],"customization":[306],"cameras,":[309],"subsequent":[312],"through":[316],"using":[319],"drone.":[322]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}