{"id":"https://openalex.org/W4391341545","doi":"https://doi.org/10.1109/tgrs.2024.3360092","title":"Reconstruction of Historical SMAP Soil Moisture Dataset From 1979 to 2015 Using CCI Time-Series","display_name":"Reconstruction of Historical SMAP Soil Moisture Dataset From 1979 to 2015 Using CCI Time-Series","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391341545","doi":"https://doi.org/10.1109/tgrs.2024.3360092"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3360092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3360092","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076822296","display_name":"Haoxuan Yang","orcid":"https://orcid.org/0000-0001-7389-1447"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoxuan Yang","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7389-1447","affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005729523","display_name":"Qunming Wang","orcid":"https://orcid.org/0000-0002-5188-0939"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qunming Wang","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5188-0939","affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012945245","display_name":"Wei Zhao","orcid":"https://orcid.org/0000-0002-4839-6791"},"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/I4210124748","display_name":"Institute of Mountain Hazards and Environment","ror":"https://ror.org/02z0nsb22","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210124748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhao","raw_affiliation_strings":["Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-4839-6791","affiliations":[{"raw_affiliation_string":"Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210124748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000622487","display_name":"Peter M. Atkinson","orcid":"https://orcid.org/0000-0002-5489-6880"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]},{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peter M. Atkinson","raw_affiliation_strings":["Faculty of Science and Technology, Lancaster University, Lancaster, U.K","Department of Geography and Environment, University of Southampton, Southampton, U.K"],"raw_orcid":"https://orcid.org/0000-0002-5489-6880","affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, Lancaster University, Lancaster, U.K","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"Department of Geography and Environment, University of Southampton, Southampton, U.K","institution_ids":["https://openalex.org/I43439940"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.679,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59148703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"19"},"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/T10644","display_name":"Cryospheric studies and observations","score":0.9983999729156494,"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/T11234","display_name":"Precipitation Measurement and Analysis","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.5319362878799438},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4954944849014282},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.48891058564186096},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.44957128167152405},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4481111466884613},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.44614875316619873},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4251590669155121},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40872448682785034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27475541830062866},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25707364082336426},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1651012897491455},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16478613018989563},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1386915147304535}],"concepts":[{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.5319362878799438},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4954944849014282},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.48891058564186096},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.44957128167152405},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4481111466884613},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.44614875316619873},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4251590669155121},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40872448682785034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27475541830062866},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25707364082336426},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1651012897491455},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16478613018989563},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1386915147304535},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2024.3360092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3360092","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:eprints.lancs.ac.uk:224812","is_oa":false,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/224812/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1993716853","display_name":null,"funder_award_id":"42222108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8971197728","display_name":null,"funder_award_id":"42171345","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W1629378741","https://openalex.org/W1851700709","https://openalex.org/W1972736953","https://openalex.org/W1975543035","https://openalex.org/W2012968254","https://openalex.org/W2015294247","https://openalex.org/W2039348932","https://openalex.org/W2055976274","https://openalex.org/W2063422594","https://openalex.org/W2089220864","https://openalex.org/W2093259895","https://openalex.org/W2100401723","https://openalex.org/W2101293653","https://openalex.org/W2108990991","https://openalex.org/W2112084935","https://openalex.org/W2121687501","https://openalex.org/W2122324724","https://openalex.org/W2132549823","https://openalex.org/W2138763184","https://openalex.org/W2147241431","https://openalex.org/W2148691574","https://openalex.org/W2166609657","https://openalex.org/W2167487311","https://openalex.org/W2181234700","https://openalex.org/W2286406264","https://openalex.org/W2399809112","https://openalex.org/W2485420366","https://openalex.org/W2551535721","https://openalex.org/W2582059183","https://openalex.org/W2587629887","https://openalex.org/W2599868771","https://openalex.org/W2615057855","https://openalex.org/W2669629933","https://openalex.org/W2737609272","https://openalex.org/W2759163218","https://openalex.org/W2762180336","https://openalex.org/W2765753848","https://openalex.org/W2766008586","https://openalex.org/W2766249043","https://openalex.org/W2777740315","https://openalex.org/W2811382599","https://openalex.org/W2884635098","https://openalex.org/W2895804671","https://openalex.org/W2898962279","https://openalex.org/W2911563861","https://openalex.org/W2911964244","https://openalex.org/W2916889011","https://openalex.org/W2955045786","https://openalex.org/W2955900671","https://openalex.org/W2966281486","https://openalex.org/W2975030211","https://openalex.org/W2980038187","https://openalex.org/W3007404812","https://openalex.org/W3008520508","https://openalex.org/W3011780324","https://openalex.org/W3027237079","https://openalex.org/W3035750522","https://openalex.org/W3036708439","https://openalex.org/W3046821382","https://openalex.org/W3100974552","https://openalex.org/W3101323963","https://openalex.org/W3110313520","https://openalex.org/W3116621825","https://openalex.org/W3118643743","https://openalex.org/W3121378357","https://openalex.org/W3135330503","https://openalex.org/W3140243987","https://openalex.org/W3143487173","https://openalex.org/W3162400147","https://openalex.org/W3164894235","https://openalex.org/W3167331815","https://openalex.org/W3179439916","https://openalex.org/W4223965084","https://openalex.org/W4283830964","https://openalex.org/W4287731781","https://openalex.org/W4322754200","https://openalex.org/W4324146702","https://openalex.org/W4328095769","https://openalex.org/W4353087535","https://openalex.org/W4365801679","https://openalex.org/W4367321684"],"related_works":["https://openalex.org/W4399671601","https://openalex.org/W1992962589","https://openalex.org/W3032871857","https://openalex.org/W1743191351","https://openalex.org/W3104633800","https://openalex.org/W3023567978","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Soil":[0,55],"moisture":[1],"(SM)":[2],"plays":[3],"a":[4,84,220,251],"significant":[5],"role":[6],"in":[7,18,62,69,74,111,121,250],"many":[8],"natural":[9],"and":[10,73,144,147,159,188,239,247],"anthropogenic":[11],"systems.":[12],"Thus,":[13,212],"accurate":[14,200],"assessment":[15],"of":[16,22,78,242,253],"changes":[17,110],"SM":[19,45,103,114,139,186],"globally":[20],"is":[21,179,198,234],"great":[23,243],"value,":[24],"including":[25],"long-term":[26],"historical":[27,195,225],"assessment.":[28],"The":[29,154,228],"European":[30],"Space":[31],"Agency":[32],"established":[33],"the":[34,51,54,76,93,100,108,112,122,127,133,137,151,160,172,175,182,189,194,202,213,224],"Climate":[35],"Change":[36],"Initiative":[37],"(CCI)":[38],"program":[39],"to":[40,50,91,119,149,181,218],"produce":[41],"long":[42,230],"time-series":[43,231],"surface":[44],"datasets":[46],"starting":[47],"from":[48,136],"1978":[49],"present.":[52],"However,":[53],"Moisture":[56],"Active":[57],"Passive":[58],"(SMAP)":[59],"mission,":[60],"launched":[61],"2015,":[63],"has":[64],"shown":[65,217],"more":[66,199],"satisfactory":[67],"performance":[68],"both":[70],"spatial":[71],"accuracy":[72],"capturing":[75],"pattern":[77],"temporal":[79,109,134],"changes.":[80],"In":[81],"this":[82],"paper,":[83],"random":[85],"forest":[86],"(RF)":[87],"model":[88,129],"was":[89,130,216],"proposed":[90],"extend":[92],"SMAP":[94,113,162,191],"dataset":[95,115,178,197,215,233],"historically":[96],"(named":[97],"Hist_SMAP),":[98],"using":[99,132],"corresponding":[101],"CCI":[102,124,138,173,226],"time-series.":[104],"We":[105],"assumed":[106],"that":[107],"are":[116],"similar":[117],"generally":[118],"those":[120],"available":[123,155],"dataset.":[125,153,211,227],"Accordingly,":[126],"RF":[128],"constructed":[131],"(extracted":[135],"data),":[140],"coupled":[141],"with":[142,171,236],"terrain":[143],"location":[145],"characteristics,":[146],"migrated":[148],"predict":[150],"Hist_SMAP":[152,177,196,214,232],"<italic":[156,183],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[157,184],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">in-situ</i>":[158,185],"real":[161,190],"data":[163,187],"were":[164],"used":[165,204],"as":[166],"references":[167],"for":[168,223,245],"validation.":[169],"Compared":[170],"dataset,":[174],"predicted":[176],"closer":[180],"data.":[192],"Moreover,":[193],"than":[201],"widely":[203],"Global":[205],"Land":[206],"Evaporation":[207],"Amsterdam":[208],"Model":[209],"(GLEAM)":[210],"be":[219,241],"reliable":[221],"substitute":[222],"new":[229],"provided":[235],"free":[237],"access":[238],"will":[240],"value":[244],"research":[246],"practical":[248],"application":[249],"range":[252],"fields.":[254]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
