{"id":"https://openalex.org/W4388732290","doi":"https://doi.org/10.1080/17538947.2023.2283492","title":"Reconstructed NDVI and EVI datasets in China (ReVIChina) generated by a spatial-interannual reconstruction method","display_name":"Reconstructed NDVI and EVI datasets in China (ReVIChina) generated by a spatial-interannual reconstruction method","publication_year":2023,"publication_date":"2023-11-15","ids":{"openalex":"https://openalex.org/W4388732290","doi":"https://doi.org/10.1080/17538947.2023.2283492"},"language":"en","primary_location":{"id":"doi:10.1080/17538947.2023.2283492","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2023.2283492","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/17538947.2023.2283492","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101731920","display_name":"Rui Yao","orcid":"https://orcid.org/0000-0002-1578-8641"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Yao","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People\u2019s Republic of China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People's Republic of China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108625236","display_name":"Yongjun Zhang","orcid":"https://orcid.org/0000-0001-9845-4251"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Zhang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People\u2019s Republic of China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People's Republic of China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083980544","display_name":"Lunche Wang","orcid":"https://orcid.org/0000-0001-7783-5725"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lunche Wang","raw_affiliation_strings":["Hubei Key Laboratory of Critical Zone Evolution, School of Geography and Information Engineering, China University of Geosciences, Wuhan, People\u2019s Republic of China","Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan, People\u2019s Republic of China","Hubei Key Laboratory of Critical Zone Evolution, School of Geography and Information Engineering, China University of Geosciences, Wuhan, People's Republic of China","Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Critical Zone Evolution, School of Geography and Information Engineering, China University of Geosciences, Wuhan, People\u2019s Republic of China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan, People\u2019s Republic of China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Hubei Key Laboratory of Critical Zone Evolution, School of Geography and Information Engineering, China University of Geosciences, Wuhan, People's Republic of China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan, People's Republic of China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446479","display_name":"Jiayi Li","orcid":"https://orcid.org/0000-0002-7308-7675"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Li","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People\u2019s Republic of China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People's Republic of China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058024186","display_name":"Qiquan Yang","orcid":"https://orcid.org/0000-0003-1152-5999"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]},{"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","MO"],"is_corresponding":false,"raw_author_name":"Qiquan Yang","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, People\u2019s Republic of China","State Key Laboratory of Lunar and Planetary Sciences, Macau University of Science and Technology, Macau, People\u2019s Republic of China","State Key Laboratory of Lunar and Planetary Sciences, Macau University of Science and Technology, Macau, People's Republic of China","College of Surveying and Geo-Informatics, Tongji University, Shanghai, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, People\u2019s Republic of China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"State Key Laboratory of Lunar and Planetary Sciences, Macau University of Science and Technology, Macau, People\u2019s Republic of China","institution_ids":["https://openalex.org/I111950717"]},{"raw_affiliation_string":"State Key Laboratory of Lunar and Planetary Sciences, Macau University of Science and Technology, Macau, People's Republic of China","institution_ids":["https://openalex.org/I111950717"]},{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, People's Republic of China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101731920"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":{"value":2390,"currency":"USD","value_usd":2390},"fwci":1.9925,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86174516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"16","issue":"2","first_page":"4749","last_page":"4768"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.7645277976989746},{"id":"https://openalex.org/keywords/enhanced-vegetation-index","display_name":"Enhanced vegetation index","score":0.5870461463928223},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5160174369812012},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.49740365147590637},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.47881823778152466},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4593300223350525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4407275915145874},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4180023670196533},{"id":"https://openalex.org/keywords/vegetation-index","display_name":"Vegetation Index","score":0.3190857768058777},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.24875319004058838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21135926246643066},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1968238353729248},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13446426391601562},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.10687491297721863}],"concepts":[{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.7645277976989746},{"id":"https://openalex.org/C78869512","wikidata":"https://www.wikidata.org/wiki/Q5378810","display_name":"Enhanced vegetation index","level":5,"score":0.5870461463928223},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5160174369812012},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.49740365147590637},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.47881823778152466},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4593300223350525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4407275915145874},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4180023670196533},{"id":"https://openalex.org/C2780376076","wikidata":"https://www.wikidata.org/wiki/Q1499458","display_name":"Vegetation Index","level":4,"score":0.3190857768058777},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.24875319004058838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21135926246643066},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1968238353729248},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13446426391601562},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.10687491297721863},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":2,"locations":[{"id":"doi:10.1080/17538947.2023.2283492","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2023.2283492","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:321933b16df549b6b2134b15ee98d708","is_oa":true,"landing_page_url":"https://doaj.org/article/321933b16df549b6b2134b15ee98d708","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":"International Journal of Digital Earth, Vol 16, Iss 2, Pp 4749-4768 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/17538947.2023.2283492","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2023.2283492","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G2118518458","display_name":null,"funder_award_id":"42271328","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2546344510","display_name":null,"funder_award_id":"41971295","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":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1491321328","https://openalex.org/W2018636632","https://openalex.org/W2034677232","https://openalex.org/W2080378488","https://openalex.org/W2109606373","https://openalex.org/W2113410727","https://openalex.org/W2113503197","https://openalex.org/W2122460654","https://openalex.org/W2151011640","https://openalex.org/W2347060746","https://openalex.org/W2560558291","https://openalex.org/W2580000994","https://openalex.org/W2609446845","https://openalex.org/W2617056706","https://openalex.org/W2768106143","https://openalex.org/W2778147634","https://openalex.org/W2783049838","https://openalex.org/W2888529949","https://openalex.org/W2909179225","https://openalex.org/W2912077313","https://openalex.org/W2914985931","https://openalex.org/W2929248585","https://openalex.org/W2931864371","https://openalex.org/W2936275894","https://openalex.org/W2953950759","https://openalex.org/W2954700719","https://openalex.org/W2973497171","https://openalex.org/W2991848483","https://openalex.org/W2995169606","https://openalex.org/W2998051467","https://openalex.org/W3011755453","https://openalex.org/W3093384808","https://openalex.org/W3099527008","https://openalex.org/W3127026908","https://openalex.org/W3127794790","https://openalex.org/W3162042038","https://openalex.org/W3188524028","https://openalex.org/W3193406951","https://openalex.org/W3193464129","https://openalex.org/W3197065430","https://openalex.org/W3198003768","https://openalex.org/W3205788253","https://openalex.org/W3216426516","https://openalex.org/W4200208778","https://openalex.org/W4285263705","https://openalex.org/W4288808584","https://openalex.org/W4308905156","https://openalex.org/W4313367337","https://openalex.org/W4317426785","https://openalex.org/W4320726543","https://openalex.org/W4367325779","https://openalex.org/W4382136648","https://openalex.org/W4393719741","https://openalex.org/W4393729336"],"related_works":["https://openalex.org/W3207384893","https://openalex.org/W3207046288","https://openalex.org/W2374167006","https://openalex.org/W4283156607","https://openalex.org/W4384939875","https://openalex.org/W4214921029","https://openalex.org/W4285330809","https://openalex.org/W2012686349","https://openalex.org/W2969795594","https://openalex.org/W4313432081"],"abstract_inverted_index":{"ABSTRACTRemote":[0],"sensing-based":[1],"vegetation":[2],"index":[3],"(VI)":[4],"data":[5],"are":[6],"significantly":[7],"impacted":[8],"by":[9],"cloud":[10],"contamination.":[11],"Spatiotemporal":[12,171],"reconstruction":[13,20,35,39,49,97,134],"methods":[14,36,98],"demonstrate":[15],"higher":[16],"accuracy":[17],"than":[18,91,123,181],"temporal":[19],"methods.":[21],"However,":[22],"the":[23,102,164,175,182],"computing":[24,110,114],"time":[25,115],"and":[26,63,88,106,120,125,144,148,167,185],"random":[27],"access":[28],"memory":[29],"(RAM)":[30],"consumption":[31],"of":[32,81,93,101,116,135],"these":[33],"spatiotemporal":[34,96],"for":[37],"large-scale":[38],"remains":[40],"unclear.":[41],"In":[42],"this":[43],"study,":[44],"a":[45,186],"method":[46,166],"called":[47],"spatial-interannual":[48],"(SIR)":[50],"was":[51,83,86,118],"proposed":[52],"to":[53,155],"reconstruct":[54],"cloud-contaminated":[55],"pixels":[56],"in":[57,151],"MODIS":[58,168],"normalized":[59],"difference":[60],"VI":[61,65],"(NDVI)":[62],"enhanced":[64],"(EVI)":[66],"data.":[67,170],"SIR":[68,82,117,165],"has":[69],"four":[70],"major":[71],"advantages:":[72],"(1)":[73],"High":[74,109],"accuracy.":[75],"The":[76,112],"average":[77,113],"mean":[78,103],"absolute":[79],"error":[80],"0.0338,":[84],"which":[85],"20.2%":[87],"23.4%":[89],"lower":[90,122],"that":[92,174],"two":[94],"state-of-the-art":[95],"(i.e.":[99],"interpolation":[100],"anomalies":[104],"(IMA)":[105],"Gapfill).":[107],"(2)":[108],"speed.":[111],"99.7%":[119],"98.8%":[121],"IMA":[124],"Gapfill,":[126],"respectively.":[127],"(3)":[128],"Low":[129],"RAM":[130],"consumption.":[131],"(4)":[132],"Simultaneous":[133],"all":[136],"invalid":[137],"values.":[138],"Reconstructed":[139],"250":[140],"m":[141],"spatial":[142],"resolution":[143],"16-day":[145],"composite":[146],"NDVI":[147],"EVI":[149],"datasets":[150,177],"China":[152],"from":[153],"2000":[154],"2022":[156],"(written":[157],"as":[158],"ReVIChina)":[159],"were":[160,178],"developed":[161],"based":[162],"on":[163],"MOD13Q1":[169],"analyses":[172],"revealed":[173],"reconstructed":[176],"more":[179],"reliable":[180],"original":[183],"product":[184],"similar":[187],"dataset.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-10T00:00:00"}