{"id":"https://openalex.org/W4366089057","doi":"https://doi.org/10.3390/rs15082116","title":"Reconstruction of Global Long-Term Gap-Free Daily Surface Soil Moisture from 2002 to 2020 Based on a Pixel-Wise Machine Learning Method","display_name":"Reconstruction of Global Long-Term Gap-Free Daily Surface Soil Moisture from 2002 to 2020 Based on a Pixel-Wise Machine Learning Method","publication_year":2023,"publication_date":"2023-04-17","ids":{"openalex":"https://openalex.org/W4366089057","doi":"https://doi.org/10.3390/rs15082116"},"language":"en","primary_location":{"id":"doi:10.3390/rs15082116","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15082116","pdf_url":"https://www.mdpi.com/2072-4292/15/8/2116/pdf?version=1681720577","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/2072-4292/15/8/2116/pdf?version=1681720577","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089990253","display_name":"Pei Mi","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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"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"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei Mi","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366","https://openalex.org/I4210166112"]},{"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/A5108924522","display_name":"Chaolei Zheng","orcid":"https://orcid.org/0000-0002-6085-8274"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chaolei Zheng","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405681","display_name":"Jia Li","orcid":"https://orcid.org/0000-0002-3108-8645"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Jia","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366","https://openalex.org/I4210166112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089379120","display_name":"Yu Bai","orcid":"https://orcid.org/0000-0002-6052-7766"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"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"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Bai","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108924522"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199","https://openalex.org/I4210166112"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.7221,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.6581162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"15","issue":"8","first_page":"2116","last_page":"2116"},"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":0.9988999962806702,"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":0.9943000078201294,"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/water-content","display_name":"Water content","score":0.7406961917877197},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6524367332458496},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6366037726402283},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.6024604439735413},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.5176272988319397},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5085281133651733},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4512150287628174},{"id":"https://openalex.org/keywords/moisture","display_name":"Moisture","score":0.43127843737602234},{"id":"https://openalex.org/keywords/hydrology","display_name":"Hydrology (agriculture)","score":0.3217161297798157},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2817661762237549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.23224401473999023},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22841069102287292},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14629283547401428},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14531219005584717},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09402015805244446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08092212677001953}],"concepts":[{"id":"https://openalex.org/C24939127","wikidata":"https://www.wikidata.org/wiki/Q373499","display_name":"Water content","level":2,"score":0.7406961917877197},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6524367332458496},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6366037726402283},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6024604439735413},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.5176272988319397},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5085281133651733},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4512150287628174},{"id":"https://openalex.org/C176864760","wikidata":"https://www.wikidata.org/wiki/Q217651","display_name":"Moisture","level":2,"score":0.43127843737602234},{"id":"https://openalex.org/C76886044","wikidata":"https://www.wikidata.org/wiki/Q2883300","display_name":"Hydrology (agriculture)","level":2,"score":0.3217161297798157},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2817661762237549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.23224401473999023},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22841069102287292},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14629283547401428},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14531219005584717},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09402015805244446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08092212677001953},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15082116","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15082116","pdf_url":"https://www.mdpi.com/2072-4292/15/8/2116/pdf?version=1681720577","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:2feff83d1c3147b8841e15ab3961d672","is_oa":true,"landing_page_url":"https://doaj.org/article/2feff83d1c3147b8841e15ab3961d672","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 8, p 2116 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/8/2116/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15082116","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 8; Pages: 2116","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15082116","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15082116","pdf_url":"https://www.mdpi.com/2072-4292/15/8/2116/pdf?version=1681720577","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":[],"awards":[{"id":"https://openalex.org/G6334101434","display_name":null,"funder_award_id":"42090014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8813571225","display_name":null,"funder_award_id":"42171039","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366089057.pdf","grobid_xml":"https://content.openalex.org/works/W4366089057.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W851665561","https://openalex.org/W1610720486","https://openalex.org/W1651208609","https://openalex.org/W1785232415","https://openalex.org/W1859700818","https://openalex.org/W1927150020","https://openalex.org/W1965229099","https://openalex.org/W1977473269","https://openalex.org/W1981146655","https://openalex.org/W1981883248","https://openalex.org/W1992547064","https://openalex.org/W1998115018","https://openalex.org/W2005309753","https://openalex.org/W2008254587","https://openalex.org/W2013049148","https://openalex.org/W2024231687","https://openalex.org/W2035617489","https://openalex.org/W2044735186","https://openalex.org/W2052483370","https://openalex.org/W2055056592","https://openalex.org/W2056928154","https://openalex.org/W2068371905","https://openalex.org/W2069276699","https://openalex.org/W2069414124","https://openalex.org/W2076196252","https://openalex.org/W2076669576","https://openalex.org/W2078665001","https://openalex.org/W2092532914","https://openalex.org/W2100401723","https://openalex.org/W2103746463","https://openalex.org/W2104428999","https://openalex.org/W2107049451","https://openalex.org/W2108319416","https://openalex.org/W2110307296","https://openalex.org/W2113963659","https://openalex.org/W2132424470","https://openalex.org/W2145862305","https://openalex.org/W2147241431","https://openalex.org/W2148096042","https://openalex.org/W2168359209","https://openalex.org/W2168533339","https://openalex.org/W2225231926","https://openalex.org/W2301692565","https://openalex.org/W2334679336","https://openalex.org/W2399809112","https://openalex.org/W2546874879","https://openalex.org/W2551535721","https://openalex.org/W2569552450","https://openalex.org/W2582059183","https://openalex.org/W2607327501","https://openalex.org/W2615057855","https://openalex.org/W2737609272","https://openalex.org/W2765923343","https://openalex.org/W2766249043","https://openalex.org/W2777003700","https://openalex.org/W2799744012","https://openalex.org/W2901773987","https://openalex.org/W2904570773","https://openalex.org/W2967660021","https://openalex.org/W2971461196","https://openalex.org/W2972518642","https://openalex.org/W2973162236","https://openalex.org/W2991575106","https://openalex.org/W2998387036","https://openalex.org/W3007645801","https://openalex.org/W3025949386","https://openalex.org/W3093683427","https://openalex.org/W3143487173","https://openalex.org/W3164894235","https://openalex.org/W3172369849","https://openalex.org/W3186511153","https://openalex.org/W3208677343","https://openalex.org/W4220814255","https://openalex.org/W4308920313","https://openalex.org/W4324344305","https://openalex.org/W6623482973","https://openalex.org/W6636390633","https://openalex.org/W6892196140"],"related_works":["https://openalex.org/W2108512031","https://openalex.org/W2063755384","https://openalex.org/W2048409327","https://openalex.org/W2153306223","https://openalex.org/W2997015357","https://openalex.org/W2390117385","https://openalex.org/W2123825282","https://openalex.org/W1977273908","https://openalex.org/W2079990215","https://openalex.org/W2897030841"],"abstract_inverted_index":{"Global,":[0],"long-term,":[1],"gap-free,":[2],"high":[3,285],"quality":[4],"soil":[5,19,48,71,94,111,134,218,229,273,312],"moisture":[6,20,49,72,95,112,135,219,230,274,313],"products":[7,21],"are":[8],"extremely":[9],"important":[10],"for":[11,303],"hydrological":[12,317],"monitoring":[13],"and":[14,37,44,53,96,162,180,190,202,205,209,241,248,265,287,319,322],"climate":[15],"change":[16],"research.":[17],"However,":[18,291],"produced":[22],"from":[23,137,234],"satellite":[24,35],"observations":[25,226],"have":[26],"data":[27,50,119],"gaps":[28,120],"due":[29],"to":[30,65,107,139],"the":[31,42,76,89,97,108,153,159,166,169,173,182,193,215,235,242,249,270,277,280,293,307],"limited":[32],"capabilities":[33],"of":[34,47,118,121,147,168,214,227,256,279,295,309],"orbit/swath":[36],"retrieval":[38],"algorithms,":[39],"which":[40,114],"limit":[41],"regional":[43],"global":[45,68,130,310],"applications":[46,305],"in":[51,224,254,306],"hydrology":[52],"agriculture":[54],"studies.":[55],"To":[56],"solve":[57],"this":[58,163],"problem,":[59],"we":[60],"proposed":[61],"a":[62,67,83,116,126],"gap-filling":[63,103],"method":[64,104,171],"reconstruct":[66],"gap-free":[69,132],"surface":[70,93,99,110,133,217,228,272,311,316],"product":[73],"by":[74],"applying":[75],"machine":[77],"learning":[78],"(Random":[79],"Forest)":[80],"algorithm":[81],"on":[82,125],"pixel-by-pixel":[84],"basis,":[85],"taking":[86],"into":[87],"account":[88],"nonlinear":[90],"relationship":[91],"between":[92,178,188,200,207],"related":[98],"environmental":[100],"variables.":[101],"The":[102,144,212],"was":[105,141,221],"applied":[106],"NN-SM":[109,281],"product,":[113,282],"has":[115],"fraction":[117],"around":[122],"50%":[123],"globally":[124],"multi-year":[127],"average.":[128],"A":[129],"daily":[131],"dataset":[136,220,275],"2002":[138],"2020":[140],"then":[142],"generated.":[143],"reconstructed":[145,216,271],"values":[146,155],"several":[148],"sub-regions":[149],"after":[150],"manually":[151],"eliminating":[152],"original":[154,160],"were":[156],"cross-verified":[157],"with":[158,172,292],"data,":[161],"clearly":[164],"demonstrated":[165],"reliability":[167],"reconstruction":[170],"correlation":[174],"coefficient":[175],"(R)":[176],"ranging":[177],"0.770":[179],"0.918,":[181],"Root":[183,195],"Mean":[184,196],"Square":[185,197],"Error":[186,198],"(RMSE)":[187],"0.057":[189],"0.082":[191],"m3/m3,":[192,204],"unbiased":[194],"(ubRMSE)":[199],"0.053":[201],"0.081":[203],"Bias":[206,266],"\u22120.012":[208],"0.008":[210],"m3/m3.":[211],"accuracy":[213,253,286],"evaluated":[222],"using":[223],"situ":[225],"at":[231],"12":[232],"sites":[233],"International":[236],"Soil":[237],"Moisture":[238],"Network":[239],"(ISMN)":[240],"Long-Term":[243],"Agroecosystem":[244],"Research":[245],"(LTAR)":[246],"network,":[247],"results":[250],"showed":[251],"good":[252,288],"terms":[255],"R":[257],"(0.610),":[258],"RMSE":[259],"(0.067":[260],"m3/m3),":[261],"ubRMSE":[262],"(0.045":[263],"m3/m3)":[264],"(0.031":[267],"m3/m3).":[268],"Overall,":[269],"retained":[276],"characteristics":[278],"such":[283],"as":[284],"spatiotemporal":[289,297],"pattern.":[290],"advantage":[294],"continuous":[296],"coverage,":[298],"it":[299],"is":[300],"more":[301],"suitable":[302],"further":[304],"analysis":[308],"trends,":[314],"land":[315],"processes,":[318],"land-atmosphere":[320],"energy":[321],"water":[323],"exchanges,":[324],"etc.":[325]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2023-04-19T00:00:00"}
