{"id":"https://openalex.org/W4229376595","doi":"https://doi.org/10.3390/rs14092247","title":"Reconstruction of Vegetation Index Time Series Based on Self-Weighting Function Fitting from Curve Features","display_name":"Reconstruction of Vegetation Index Time Series Based on Self-Weighting Function Fitting from Curve Features","publication_year":2022,"publication_date":"2022-05-07","ids":{"openalex":"https://openalex.org/W4229376595","doi":"https://doi.org/10.3390/rs14092247"},"language":"en","primary_location":{"id":"doi:10.3390/rs14092247","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14092247","pdf_url":"https://www.mdpi.com/2072-4292/14/9/2247/pdf?version=1651920261","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/2072-4292/14/9/2247/pdf?version=1651920261","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053403248","display_name":"Wenquan Zhu","orcid":"https://orcid.org/0000-0003-3011-444X"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"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":"Wenquan Zhu","raw_affiliation_strings":["Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"raw_orcid":"https://orcid.org/0000-0003-3011-444X","affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039896021","display_name":"Bangke He","orcid":"https://orcid.org/0000-0001-9043-0941"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"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":"Bangke He","raw_affiliation_strings":["Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"raw_orcid":"https://orcid.org/0000-0001-9043-0941","affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011911974","display_name":"Zhiying Xie","orcid":"https://orcid.org/0000-0002-7878-5499"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"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":"Zhiying Xie","raw_affiliation_strings":["Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059057034","display_name":"Cenliang Zhao","orcid":"https://orcid.org/0000-0002-2833-8148"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"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":"Cenliang Zhao","raw_affiliation_strings":["Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"raw_orcid":"https://orcid.org/0000-0002-2833-8148","affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111159006","display_name":"Huimin Zhuang","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huimin Zhuang","raw_affiliation_strings":["Academy of Disaster Reduction and Emergency Management, Ministry of Emergency Management & Ministry of Education, School of National Safety and Emergency Management, Beijing Normal University, Beijing 100875, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Disaster Reduction and Emergency Management, Ministry of Emergency Management & Ministry of Education, School of National Safety and Emergency Management, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018545870","display_name":"Peixian Li","orcid":"https://orcid.org/0000-0002-5473-1605"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"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":"Peixian Li","raw_affiliation_strings":["Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941","https://openalex.org/I4210137199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5039896021"],"corresponding_institution_ids":["https://openalex.org/I25254941","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":2.5411,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88839128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"14","issue":"9","first_page":"2247","last_page":"2247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998999834060669,"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":0.9998999834060669,"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/T10895","display_name":"Species Distribution and Climate Change","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9904000163078308,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6437444686889648},{"id":"https://openalex.org/keywords/curve-fitting","display_name":"Curve fitting","score":0.5566293001174927},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5338194370269775},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5259901881217957},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.48736196756362915},{"id":"https://openalex.org/keywords/logistic-function","display_name":"Logistic function","score":0.4872411787509918},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4798431098461151},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.47949081659317017},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4503551423549652},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.43158021569252014},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.42857739329338074},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42791375517845154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39462965726852417},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.2858896255493164},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09570860862731934}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6437444686889648},{"id":"https://openalex.org/C184389593","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Curve fitting","level":2,"score":0.5566293001174927},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5338194370269775},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5259901881217957},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.48736196756362915},{"id":"https://openalex.org/C180802074","wikidata":"https://www.wikidata.org/wiki/Q1052379","display_name":"Logistic function","level":2,"score":0.4872411787509918},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4798431098461151},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.47949081659317017},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4503551423549652},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.43158021569252014},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.42857739329338074},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42791375517845154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39462965726852417},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2858896255493164},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09570860862731934},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14092247","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14092247","pdf_url":"https://www.mdpi.com/2072-4292/14/9/2247/pdf?version=1651920261","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:a793aad754af44d68833627d8c80e6e5","is_oa":true,"landing_page_url":"https://doaj.org/article/a793aad754af44d68833627d8c80e6e5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 9, p 2247 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/9/2247/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14092247","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14092247","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14092247","pdf_url":"https://www.mdpi.com/2072-4292/14/9/2247/pdf?version=1651920261","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":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4229376595.pdf","grobid_xml":"https://content.openalex.org/works/W4229376595.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W85881030","https://openalex.org/W1490292397","https://openalex.org/W1974047452","https://openalex.org/W1983930403","https://openalex.org/W1996463620","https://openalex.org/W1996905547","https://openalex.org/W2018300239","https://openalex.org/W2018636632","https://openalex.org/W2019003441","https://openalex.org/W2020095931","https://openalex.org/W2030688147","https://openalex.org/W2035617489","https://openalex.org/W2038990264","https://openalex.org/W2063623478","https://openalex.org/W2069276699","https://openalex.org/W2072093516","https://openalex.org/W2074222846","https://openalex.org/W2094677081","https://openalex.org/W2099098700","https://openalex.org/W2102887902","https://openalex.org/W2109606373","https://openalex.org/W2113503197","https://openalex.org/W2121401610","https://openalex.org/W2126250722","https://openalex.org/W2131311436","https://openalex.org/W2136008108","https://openalex.org/W2136783177","https://openalex.org/W2138751033","https://openalex.org/W2139429070","https://openalex.org/W2151011640","https://openalex.org/W2157131762","https://openalex.org/W2168910676","https://openalex.org/W2185340035","https://openalex.org/W2527417112","https://openalex.org/W2605847660","https://openalex.org/W2888529949","https://openalex.org/W2897285410","https://openalex.org/W2980091708","https://openalex.org/W4200208778","https://openalex.org/W4245705676","https://openalex.org/W6603527120","https://openalex.org/W6686213301","https://openalex.org/W6804956987"],"related_works":["https://openalex.org/W1967890210","https://openalex.org/W2162968378","https://openalex.org/W4390747289","https://openalex.org/W2156220498","https://openalex.org/W2075925377","https://openalex.org/W2358102175","https://openalex.org/W2280482922","https://openalex.org/W1972621397","https://openalex.org/W2287062289","https://openalex.org/W219060608"],"abstract_inverted_index":{"Vegetation":[0],"index":[1],"(VI)":[2],"time":[3,24,49,109,139,173,186],"series":[4,25,110,140,174],"derived":[5],"from":[6,146],"satellite":[7],"sensors":[8],"have":[9],"been":[10],"widely":[11,41],"used":[12,42],"in":[13,200,257,271],"the":[14,20,67,77,105,112,167,171,178,184,211,218,224,239,243,261],"estimation":[15],"of":[16,22,69,83,118,152,170,260],"vegetation":[17,119],"parameters,":[18],"but":[19,51],"quality":[21,62],"VI":[23,48,61,108,130,138,163,172,185],"is":[26,39,53,74],"easily":[27],"affected":[28],"by":[29,76,230,247],"clouds":[30,123],"and":[31,80,115,121,175,195,235,269],"poor":[32,125],"atmospheric":[33,126],"conditions.":[34],"The":[35,188,207],"function":[36,144,180,197,213,221],"fitting":[37,145,159,181,214,222],"method":[38,96,136],"a":[40,93,134,158,204],"effective":[43],"noise":[44],"reduction":[45],"technique":[46],"for":[47,137,161,252],"series,":[50],"it":[52,236],"vulnerable":[54],"to":[55,65,91,182],"noise.":[56,70],"Thus,":[57],"ancillary":[58,84,101],"data":[59],"about":[60],"are":[63],"utilized":[64],"alleviate":[66],"interference":[68],"However,":[71],"this":[72,87],"approach":[73],"limited":[75],"availability,":[78],"accuracy,":[79],"application":[81],"rules":[82],"data.":[85,102],"In":[86],"paper,":[88],"we":[89,132],"aimed":[90],"develop":[92],"new":[94],"reconstruction":[95,135],"that":[97,107,122,210],"does":[98],"not":[99],"require":[100],"Based":[103],"on":[104,142,166,203],"assumptions":[106],"follow":[111],"gradual":[113],"growth":[114],"decline":[116],"pattern":[117],"dynamics,":[120],"or":[124],"conditions":[127],"usually":[128],"depress":[129],"values,":[131],"proposed":[133],"based":[141,165,202],"self-weighting":[143],"curve":[147,168],"features":[148,169],"(SWCF).":[149],"SWCF":[150,201,216,265],"consists":[151],"two":[153],"major":[154],"procedures:":[155],"(1)":[156],"determining":[157],"weight":[160],"each":[162],"point":[164],"(2)":[176],"implementing":[177],"weighted":[179,212],"reconstruct":[183],"series.":[187],"double":[189,192],"logistic":[190],"function,":[191,194],"Gaussian":[193],"polynomial":[196],"were":[198],"tested":[199],"simulated":[205],"dataset.":[206],"results":[208],"indicate":[209],"with":[215,223,242],"outperformed":[217,238],"corresponding":[219],"unweighted":[220],"root-mean-square":[225],"error":[226],"(RMSE)":[227],"significantly":[228,245],"reduced":[229,246],"26.82\u201352.44%":[231],"(p":[232,249],"&lt;":[233,250],"0.05),":[234],"also":[237],"Savitzky\u2013Golay":[240],"filtering":[241],"RMSE":[244],"13.98\u201354.04%":[248],"0.05)":[251],"270":[253],"sample":[254],"points":[255],"selected":[256],"mid-high":[258],"latitudes":[259],"Northern":[262],"Hemisphere.":[263],"Moreover,":[264],"showed":[266],"excellent":[267],"robustness":[268],"applicability":[270],"regional":[272],"applications.":[273]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
