{"id":"https://openalex.org/W4390873455","doi":"https://doi.org/10.1109/tgrs.2024.3354255","title":"RDNRnet: A Reconstruction Solution of NDVI Based on SAR and Optical Images by Residual-in-Residual Dense Blocks","display_name":"RDNRnet: A Reconstruction Solution of NDVI Based on SAR and Optical Images by Residual-in-Residual Dense Blocks","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390873455","doi":"https://doi.org/10.1109/tgrs.2024.3354255"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3354255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3354255","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/A5040798043","display_name":"Yifei Han","orcid":"https://orcid.org/0000-0002-8410-0660"},"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/I4210099135","display_name":"Wuhan Institute of Physics and Mathematics","ror":"https://ror.org/00zky9d41","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099135"]},{"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifei Han","raw_affiliation_strings":["Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8410-0660","affiliations":[{"raw_affiliation_string":"Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I4210099135","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104285863","display_name":"Jinliang Huang","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/I4210099135","display_name":"Wuhan Institute of Physics and Mathematics","ror":"https://ror.org/00zky9d41","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099135"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinliang Huang","raw_affiliation_strings":["Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I4210099135","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012444471","display_name":"Feng Ling","orcid":"https://orcid.org/0000-0002-0685-4897"},"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/I4210099135","display_name":"Wuhan Institute of Physics and Mathematics","ror":"https://ror.org/00zky9d41","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099135"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Ling","raw_affiliation_strings":["Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0685-4897","affiliations":[{"raw_affiliation_string":"Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I4210099135","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100664030","display_name":"Xinyi Gao","orcid":"https://orcid.org/0000-0001-8790-0658"},"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/I4210099135","display_name":"Wuhan Institute of Physics and Mathematics","ror":"https://ror.org/00zky9d41","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099135"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyi Gao","raw_affiliation_strings":["Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I4210099135","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100940156","display_name":"Wei Cai","orcid":"https://orcid.org/0000-0002-4748-620X"},"institutions":[{"id":"https://openalex.org/I4210141685","display_name":"Nanjing Surveying and Mapping Research Institute (China)","ror":"https://ror.org/042t78q04","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141685"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Cai","raw_affiliation_strings":["Hubei Association of Surveying and Mapping, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Association of Surveying and Mapping, Wuhan, China","institution_ids":["https://openalex.org/I4210141685"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012078602","display_name":"Hong Chi","orcid":"https://orcid.org/0000-0001-5049-4633"},"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/I4210099135","display_name":"Wuhan Institute of Physics and Mathematics","ror":"https://ror.org/00zky9d41","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099135"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"id":"https://openalex.org/I4391767971","display_name":"State Key Laboratory of Resources and Environmental Information System","ror":"https://ror.org/03w41by72","country_code":null,"type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793","https://openalex.org/I4391767971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Chi","raw_affiliation_strings":["Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","Institute of Geographic Sciences and Natural Resources Research, State Key Laboratory of Resources and Environmental Information System, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5049-4633","affiliations":[{"raw_affiliation_string":"Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I4210099135","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Geographic Sciences and Natural Resources Research, State Key Laboratory of Resources and Environmental Information System, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I19820366","https://openalex.org/I4391767971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5040798043"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099135","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":5.4644,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.94684065,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10644","display_name":"Cryospheric studies and observations","score":0.9923999905586243,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.8232634663581848},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.728598952293396},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6821030378341675},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5993516445159912},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.591032087802887},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5806757807731628},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.44987761974334717},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4349030554294586},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4146993160247803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3993510603904724},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3742614686489105},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14089736342430115},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.1106419563293457},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.07653030753135681}],"concepts":[{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.8232634663581848},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.728598952293396},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6821030378341675},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5993516445159912},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.591032087802887},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5806757807731628},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.44987761974334717},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4349030554294586},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4146993160247803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3993510603904724},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3742614686489105},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14089736342430115},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.1106419563293457},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.07653030753135681},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3354255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3354255","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G4606173981","display_name":null,"funder_award_id":"U22A20567","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/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W14024944","https://openalex.org/W278157659","https://openalex.org/W1489722801","https://openalex.org/W1983125199","https://openalex.org/W2047884674","https://openalex.org/W2069276699","https://openalex.org/W2079299474","https://openalex.org/W2097117768","https://openalex.org/W2102887902","https://openalex.org/W2133160989","https://openalex.org/W2134086511","https://openalex.org/W2170787371","https://openalex.org/W2570150535","https://openalex.org/W2772365113","https://openalex.org/W2778936354","https://openalex.org/W2888529949","https://openalex.org/W2891158090","https://openalex.org/W2914237936","https://openalex.org/W2965029620","https://openalex.org/W2977189914","https://openalex.org/W2977333479","https://openalex.org/W2980091708","https://openalex.org/W2997860833","https://openalex.org/W2999000103","https://openalex.org/W3000672846","https://openalex.org/W3038579873","https://openalex.org/W3089444959","https://openalex.org/W3126693333","https://openalex.org/W3127794790","https://openalex.org/W3130643928","https://openalex.org/W3145072606","https://openalex.org/W3150041750","https://openalex.org/W3154335459","https://openalex.org/W3157762795","https://openalex.org/W3158751426","https://openalex.org/W3175044012","https://openalex.org/W3180432165","https://openalex.org/W3187443852","https://openalex.org/W3190879272","https://openalex.org/W3194713077","https://openalex.org/W3197005668","https://openalex.org/W3207280532","https://openalex.org/W4200208778","https://openalex.org/W4200217129","https://openalex.org/W4205535786","https://openalex.org/W4210542845","https://openalex.org/W4211018321","https://openalex.org/W4282016880","https://openalex.org/W4283271954","https://openalex.org/W4292787315","https://openalex.org/W4293660924","https://openalex.org/W4296569602","https://openalex.org/W4312828552","https://openalex.org/W6638444622","https://openalex.org/W6729983426","https://openalex.org/W6766029800"],"related_works":["https://openalex.org/W3207046288","https://openalex.org/W3023446922","https://openalex.org/W4324030030","https://openalex.org/W1980260791","https://openalex.org/W2021379394","https://openalex.org/W2008518276","https://openalex.org/W2152662390","https://openalex.org/W2615806692","https://openalex.org/W2080965330","https://openalex.org/W2547534968"],"abstract_inverted_index":{"The":[0,183],"reconstruction":[1,231],"of":[2,33,110,133,173,194],"the":[3,20,31,57,89,97,101,131,146,163,170,174,178,188],"Normalized":[4],"Difference":[5],"Vegetation":[6],"Index":[7],"(NDVI)":[8],"is":[9],"a":[10,81,108,115,192],"crucial":[11,180],"prerequisite":[12],"for":[13,185],"numerous":[14],"spatiotemporal":[15],"continuous":[16],"studies.":[17],"To":[18],"address":[19],"limitations":[21],"posed":[22],"by":[23,70,205],"satellite":[24],"temporal":[25],"resolution":[26,136],"and":[27,38,49,66,74,113,137,155,169,215,246],"challenging":[28],"atmospheric":[29],"conditions,":[30],"combination":[32],"Synthetic":[34],"Aperture":[35],"Radar":[36],"(SAR)":[37],"optical":[39],"images":[40],"from":[41],"diverse":[42],"sources":[43],"has":[44],"proven":[45],"to":[46,61,84,243],"be":[47],"effective":[48],"widely":[50],"employed.":[51],"In":[52],"this":[53],"study,":[54],"we":[55,106],"employ":[56],"Spatial-Temporal":[58],"Savitzky-Golay":[59],"algorithm":[60],"rectify":[62],"MODIS":[63,134],"NDVI":[64,93,123,151,230],"maps":[65],"eliminate":[67],"interruptions":[68],"caused":[69],"noise.":[71],"Random":[72],"Forest":[73],"Gradient":[75],"Boosting":[76],"Decision":[77],"Trees":[78],"serve":[79],"as":[80],"dual":[82],"filter":[83],"select":[85],"SAR":[86,141,166,181],"indices":[87,99],"with":[88,191,220],"highest":[90,189],"impact":[91],"on":[92],"reconstruction,":[94],"ensuring":[95],"that":[96,162],"chosen":[98],"encapsulate":[100],"most":[102,179],"valuable":[103],"information.":[104],"Subsequently,":[105],"conduct":[107],"series":[109],"ablation":[111],"experiments":[112],"develop":[114],"deep":[116],"learning":[117],"network":[118,128,147],"named":[119],"Residual-in-Residual":[120],"Dense":[121],"Block":[122],"Reconstruction":[124],"net":[125],"(RDNRnet).":[126],"This":[127],"effectively":[129,241],"mitigates":[130],"impacts":[132],"coarse":[135],"speckle":[138],"noises":[139],"in":[140,149,211],"data.":[142],"We":[143],"also":[144],"evaluate":[145],"performance":[148,235],"reconstructing":[150],"across":[152,236],"all":[153,219,244],"seasons":[154,245],"land":[156,206,247],"cover":[157,207,248],"types.":[158,249],"Our":[159,228],"findings":[160],"highlight":[161],"modified":[164],"dual-polarimetric":[165],"vegetation":[167],"index":[168],"standard":[171],"deviation":[172],"VV":[175],"band":[176],"are":[177,209],"indices.":[182],"predictions":[184],"summer":[186],"exhibit":[187],"performance,":[190],"coefficient":[193],"determination":[195],"(R":[196],"<sup":[197,222],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[198,223],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[199,224],")":[200],"reaching":[201],"0.9757.":[202],"Optimal":[203],"performances":[204],"type":[208],"observed":[210],"forests,":[212],"paddy":[213],"fields,":[214,218],"dry":[216],"farming":[217],"R":[221],"values":[225],"exceeding":[226],"0.9580.":[227],"adaptive":[229],"solution":[232],"demonstrates":[233],"robust":[234],"different":[237],"data":[238],"availability":[239],"scenarios,":[240],"catering":[242]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
