{"id":"https://openalex.org/W4313827703","doi":"https://doi.org/10.3390/rs15020366","title":"Real-Time Forecast of SMAP L3 Soil Moisture Using Spatial\u2013Temporal Deep Learning Model with Data Integration","display_name":"Real-Time Forecast of SMAP L3 Soil Moisture Using Spatial\u2013Temporal Deep Learning Model with Data Integration","publication_year":2023,"publication_date":"2023-01-07","ids":{"openalex":"https://openalex.org/W4313827703","doi":"https://doi.org/10.3390/rs15020366"},"language":"en","primary_location":{"id":"doi:10.3390/rs15020366","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15020366","pdf_url":"https://www.mdpi.com/2072-4292/15/2/366/pdf?version=1673078550","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/2072-4292/15/2/366/pdf?version=1673078550","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100449346","display_name":"Ye Zhang","orcid":"https://orcid.org/0000-0003-0709-3767"},"institutions":[{"id":"https://openalex.org/I4210106122","display_name":"Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)","ror":"https://ror.org/00y7mag53","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210106122"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Zhang","raw_affiliation_strings":["Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou 510275, China"],"affiliations":[{"raw_affiliation_string":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou 510275, China","institution_ids":["https://openalex.org/I4210106122"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035884337","display_name":"Feini Huang","orcid":"https://orcid.org/0000-0002-3389-1562"},"institutions":[{"id":"https://openalex.org/I4210106122","display_name":"Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)","ror":"https://ror.org/00y7mag53","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210106122"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feini Huang","raw_affiliation_strings":["Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou 510275, China"],"affiliations":[{"raw_affiliation_string":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou 510275, China","institution_ids":["https://openalex.org/I4210106122"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386358","display_name":"Lu Li","orcid":"https://orcid.org/0000-0003-3638-618X"},"institutions":[{"id":"https://openalex.org/I4210106122","display_name":"Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)","ror":"https://ror.org/00y7mag53","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210106122"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Li","raw_affiliation_strings":["Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou 510275, China"],"affiliations":[{"raw_affiliation_string":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou 510275, China","institution_ids":["https://openalex.org/I4210106122"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112986798","display_name":"Qingliang Li","orcid":"https://orcid.org/0000-0002-6541-9916"},"institutions":[{"id":"https://openalex.org/I202028630","display_name":"Changchun Normal University","ror":"https://ror.org/00cbhey71","country_code":"CN","type":"education","lineage":["https://openalex.org/I202028630"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinglian Li","raw_affiliation_strings":["College of Computer Science and Technology, Changchun Normal University, Changchun 130032, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Changchun Normal University, Changchun 130032, China","institution_ids":["https://openalex.org/I202028630"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040228179","display_name":"Yongkun Zhang","orcid":"https://orcid.org/0000-0002-5819-494X"},"institutions":[{"id":"https://openalex.org/I4210106122","display_name":"Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)","ror":"https://ror.org/00y7mag53","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210106122"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongkun Zhang","raw_affiliation_strings":["Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou 510275, China"],"affiliations":[{"raw_affiliation_string":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou 510275, China","institution_ids":["https://openalex.org/I4210106122"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050326105","display_name":"Wei Shangguan","orcid":"https://orcid.org/0000-0001-7622-8210"},"institutions":[{"id":"https://openalex.org/I4210106122","display_name":"Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)","ror":"https://ror.org/00y7mag53","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210106122"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Shangguan","raw_affiliation_strings":["Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou 510275, China"],"affiliations":[{"raw_affiliation_string":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou 510275, China","institution_ids":["https://openalex.org/I4210106122"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5050326105"],"corresponding_institution_ids":["https://openalex.org/I4210106122"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.6132,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62133636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"15","issue":"2","first_page":"366","last_page":"366"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9979000091552734,"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/T10716","display_name":"Soil and Unsaturated Flow","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5927388668060303},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.586896538734436},{"id":"https://openalex.org/keywords/predictability","display_name":"Predictability","score":0.559805691242218},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4997081756591797},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.44121187925338745},{"id":"https://openalex.org/keywords/moisture","display_name":"Moisture","score":0.41915076971054077},{"id":"https://openalex.org/keywords/water-content","display_name":"Water content","score":0.41497549414634705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40071478486061096},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2929351329803467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20925340056419373},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1418769359588623},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12496566772460938},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1159297525882721}],"concepts":[{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5927388668060303},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.586896538734436},{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.559805691242218},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4997081756591797},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.44121187925338745},{"id":"https://openalex.org/C176864760","wikidata":"https://www.wikidata.org/wiki/Q217651","display_name":"Moisture","level":2,"score":0.41915076971054077},{"id":"https://openalex.org/C24939127","wikidata":"https://www.wikidata.org/wiki/Q373499","display_name":"Water content","level":2,"score":0.41497549414634705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40071478486061096},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2929351329803467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20925340056419373},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1418769359588623},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12496566772460938},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1159297525882721},{"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/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical 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/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15020366","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15020366","pdf_url":"https://www.mdpi.com/2072-4292/15/2/366/pdf?version=1673078550","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:bf5a2f3fa71840a9aeb2f91999a7e170","is_oa":true,"landing_page_url":"https://doaj.org/article/bf5a2f3fa71840a9aeb2f91999a7e170","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 2, p 366 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/2/366/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15020366","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 2; Pages: 366","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15020366","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15020366","pdf_url":"https://www.mdpi.com/2072-4292/15/2/366/pdf?version=1673078550","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":0.6800000071525574,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"}],"awards":[{"id":"https://openalex.org/G1186178737","display_name":null,"funder_award_id":"41975122","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3515523672","display_name":null,"funder_award_id":"2021B0301030007","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G3665811546","display_name":null,"funder_award_id":"42088101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4052839421","display_name":null,"funder_award_id":"42105144","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5398410952","display_name":null,"funder_award_id":"42205149","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6452230447","display_name":null,"funder_award_id":"4227515","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8452570760","display_name":null,"funder_award_id":"U1811464","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"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4313827703.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1538131130","https://openalex.org/W1786856418","https://openalex.org/W2028979033","https://openalex.org/W2064675550","https://openalex.org/W2077252525","https://openalex.org/W2110485445","https://openalex.org/W2127559745","https://openalex.org/W2138763184","https://openalex.org/W2292351269","https://openalex.org/W2338693065","https://openalex.org/W2528132721","https://openalex.org/W2582059183","https://openalex.org/W2585981438","https://openalex.org/W2738911869","https://openalex.org/W2762180336","https://openalex.org/W2896500956","https://openalex.org/W2898962279","https://openalex.org/W2910661958","https://openalex.org/W2914512071","https://openalex.org/W2941010500","https://openalex.org/W2955388488","https://openalex.org/W2966100894","https://openalex.org/W2970750072","https://openalex.org/W3000283034","https://openalex.org/W3119225168","https://openalex.org/W3125807057","https://openalex.org/W3184991396","https://openalex.org/W3200873058","https://openalex.org/W4200053762","https://openalex.org/W4200149104","https://openalex.org/W4200513151","https://openalex.org/W4206952005","https://openalex.org/W4220824535","https://openalex.org/W4224057408","https://openalex.org/W4288758399","https://openalex.org/W6801225449","https://openalex.org/W6807321712"],"related_works":["https://openalex.org/W2726467123","https://openalex.org/W2064726690","https://openalex.org/W4252678288","https://openalex.org/W4254065731","https://openalex.org/W1607297154","https://openalex.org/W4210820789","https://openalex.org/W2913177154","https://openalex.org/W4237782192","https://openalex.org/W4235131201","https://openalex.org/W4232793539"],"abstract_inverted_index":{"Soil":[0,19],"moisture":[1],"(SM)":[2],"has":[3,25,36,132,154],"significant":[4],"impacts":[5],"on":[6,65,176],"the":[7,18,66,77,87,100,103,110,136,156,164],"Earth\u2019s":[8],"energy":[9],"and":[10,51,79,95,109,143,151,161],"water":[11],"cycle":[12],"system.":[13],"Remote":[14],"sensing,":[15],"such":[16,197],"as":[17,198],"Moisture":[20],"Active":[21],"Passive":[22],"(SMAP)":[23],"mission,":[24],"delivered":[26],"valuable":[27],"estimations":[28],"of":[29,55,89,138,163,172],"global":[30],"surface":[31],"soil":[32],"moisture.":[33],"However,":[34],"it":[35],"a":[37,59],"2~3":[38],"days":[39],"revisit":[40],"time":[41],"leading":[42],"to":[43,75,167],"gaps":[44,201],"between":[45],"SMAP":[46],"areas.":[47],"To":[48],"achieve":[49],"accurate":[50,183],"comprehensive":[52],"real-time":[53],"forecast":[54,185],"SM,":[56],"we":[57],"propose":[58],"spatial\u2013temporal":[60,139,184],"deep":[61,140],"learning":[62,141],"model":[63,142,157],"based":[64],"Convolutional":[67],"Gated":[68],"Recursive":[69],"Units":[70],"with":[71,105,114,149,188],"Data":[72,115,144],"Integration":[73,116,145],"(DI_ConvGRU)":[74],"capture":[76],"spatial":[78],"temporal":[80],"variation":[81],"in":[82,93,159,202],"SM":[83,91,173,177,187],"simultaneously":[84],"by":[85],"modeling":[86],"influence":[88],"adjacent":[90],"values":[92],"space":[94],"time.":[96],"Experiments":[97],"show":[98],"that":[99],"DI_ConvGRU":[101,153,180],"outperforms":[102],"ConvGRU":[104],"Linear":[106],"Interpolation":[107],"(interp_ConvGRU)":[108],"Long":[111],"Short-Term":[112],"Memory":[113],"(DI_LSTM).":[117],"The":[118,170],"best":[119],"performance":[120,158],"(Bias":[121],"=":[122,126,130],"0.0132":[123],"m3/m3,":[124,128],"ubRMSE":[125],"0.022":[127],"R":[129],"0.977)":[131],"been":[133],"achieved":[134],"through":[135],"use":[137],"term.":[146],"In":[147],"comparison":[148],"interp_ConvGRU":[150],"DI_LSTM,":[152],"improved":[155],"74.88%":[160],"68.99%":[162],"regions":[165],"according":[166],"RMSE,":[168],"respectively.":[169],"predictability":[171],"depends":[174],"highly":[175],"memory":[178],"characteristics.":[179],"can":[181],"provide":[182],"for":[186,195],"missing":[189],"data,":[190],"making":[191],"them":[192],"potentially":[193],"useful":[194],"applications":[196],"filling":[199],"observational":[200],"satellite":[203],"data.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2023-01-09T00:00:00"}
