{"id":"https://openalex.org/W4390670038","doi":"https://doi.org/10.3390/rs16020235","title":"Time-Series-Based Spatiotemporal Fusion Network for Improving Crop Type Mapping","display_name":"Time-Series-Based Spatiotemporal Fusion Network for Improving Crop Type Mapping","publication_year":2024,"publication_date":"2024-01-07","ids":{"openalex":"https://openalex.org/W4390670038","doi":"https://doi.org/10.3390/rs16020235"},"language":"en","primary_location":{"id":"doi:10.3390/rs16020235","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020235","pdf_url":"https://www.mdpi.com/2072-4292/16/2/235/pdf?version=1704618799","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/2072-4292/16/2/235/pdf?version=1704618799","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101289497","display_name":"Wenfang Zhan","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfang Zhan","raw_affiliation_strings":["School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100683466","display_name":"Feng Luo","orcid":"https://orcid.org/0000-0002-4813-2403"},"institutions":[{"id":"https://openalex.org/I4210103140","display_name":"CCCC Highway Consultants (China)","ror":"https://ror.org/01bs84e19","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103140"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Luo","raw_affiliation_strings":["CCCC Second Highway Consultants Co., Ltd., Wuhan 430056, China"],"affiliations":[{"raw_affiliation_string":"CCCC Second Highway Consultants Co., Ltd., Wuhan 430056, China","institution_ids":["https://openalex.org/I4210103140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101498950","display_name":"Heng Luo","orcid":"https://orcid.org/0000-0003-2340-6241"},"institutions":[{"id":"https://openalex.org/I4210113412","display_name":"Guangxi Special Equipment Inspection Institute","ror":"https://ror.org/02e1zdz48","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210113412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Luo","raw_affiliation_strings":["Guangxi Zhuang Automomous Region Institute of Natural Resources Remote Sensing, Nanning 530023, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Zhuang Automomous Region Institute of Natural Resources Remote Sensing, Nanning 530023, China","institution_ids":["https://openalex.org/I4210113412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006746814","display_name":"Junli Li","orcid":"https://orcid.org/0000-0002-9158-3656"},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junli Li","raw_affiliation_strings":["School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075227581","display_name":"Yongchuang Wu","orcid":"https://orcid.org/0000-0002-5867-5356"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongchuang Wu","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, China","School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024564691","display_name":"Zhixiang Yin","orcid":"https://orcid.org/0000-0003-2216-1203"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhixiang Yin","raw_affiliation_strings":["School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458040","display_name":"Yanlan Wu","orcid":"https://orcid.org/0000-0002-8983-3150"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanlan Wu","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, China","School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065644909","display_name":"Penghai Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]},{"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":"Penghai Wu","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, China","School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China","State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]},{"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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5024564691"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.6161,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.91721587,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"16","issue":"2","first_page":"235","last_page":"235"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9954000115394592,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.8658122420310974},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6713075041770935},{"id":"https://openalex.org/keywords/phenology","display_name":"Phenology","score":0.5254970192909241},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5005753040313721},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.49601277709007263},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.45486563444137573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36259686946868896},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.27244478464126587},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17830130457878113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16693264245986938},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1188187301158905},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.06312975287437439}],"concepts":[{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.8658122420310974},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6713075041770935},{"id":"https://openalex.org/C51417038","wikidata":"https://www.wikidata.org/wiki/Q272737","display_name":"Phenology","level":2,"score":0.5254970192909241},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5005753040313721},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.49601277709007263},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.45486563444137573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36259686946868896},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.27244478464126587},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17830130457878113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16693264245986938},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1188187301158905},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.06312975287437439},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs16020235","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020235","pdf_url":"https://www.mdpi.com/2072-4292/16/2/235/pdf?version=1704618799","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:3b88d1e74922470b9d506a8cdf11b1c4","is_oa":true,"landing_page_url":"https://doaj.org/article/3b88d1e74922470b9d506a8cdf11b1c4","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 16, Iss 2, p 235 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/16/2/235/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs16020235","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/rs16020235","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020235","pdf_url":"https://www.mdpi.com/2072-4292/16/2/235/pdf?version=1704618799","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":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G1948075897","display_name":null,"funder_award_id":"OFSLRSS202205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2331900196","display_name":null,"funder_award_id":"42001331","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2394000524","display_name":null,"funder_award_id":"2308085Y29","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G3472539505","display_name":null,"funder_award_id":"202205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3692548590","display_name":null,"funder_award_id":"2023AH051013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4693860180","display_name":null,"funder_award_id":"2308085Y29","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/F4320326981","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390670038.pdf"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W561088580","https://openalex.org/W1998281138","https://openalex.org/W2018636632","https://openalex.org/W2025645366","https://openalex.org/W2037364101","https://openalex.org/W2088603520","https://openalex.org/W2109606373","https://openalex.org/W2126902408","https://openalex.org/W2261167432","https://openalex.org/W2585282541","https://openalex.org/W2737391801","https://openalex.org/W2742706476","https://openalex.org/W2742982421","https://openalex.org/W2772481104","https://openalex.org/W2782380681","https://openalex.org/W2792827505","https://openalex.org/W2793445582","https://openalex.org/W2800637321","https://openalex.org/W2803946774","https://openalex.org/W2804526550","https://openalex.org/W2843468165","https://openalex.org/W2883026662","https://openalex.org/W2903282641","https://openalex.org/W2904606389","https://openalex.org/W2923136550","https://openalex.org/W2938854198","https://openalex.org/W2963780514","https://openalex.org/W2989723080","https://openalex.org/W2999347784","https://openalex.org/W2999712229","https://openalex.org/W3007407753","https://openalex.org/W3037002701","https://openalex.org/W3043344758","https://openalex.org/W3046571487","https://openalex.org/W3046918937","https://openalex.org/W3096586204","https://openalex.org/W3102127038","https://openalex.org/W3121480359","https://openalex.org/W3182299891","https://openalex.org/W3192357214","https://openalex.org/W3193406951","https://openalex.org/W3208624098","https://openalex.org/W4210334192","https://openalex.org/W4285283605","https://openalex.org/W4289205891","https://openalex.org/W4290755139","https://openalex.org/W4317809520","https://openalex.org/W4377143077","https://openalex.org/W4378188396","https://openalex.org/W4387150648","https://openalex.org/W6692864540","https://openalex.org/W6733017254","https://openalex.org/W6753602705","https://openalex.org/W6807295046"],"related_works":["https://openalex.org/W3207046288","https://openalex.org/W3023446922","https://openalex.org/W4324030030","https://openalex.org/W4385533602","https://openalex.org/W2373524250","https://openalex.org/W4206027277","https://openalex.org/W3189212133","https://openalex.org/W4382239404","https://openalex.org/W2388003193","https://openalex.org/W2803445926"],"abstract_inverted_index":{"Crop":[0],"mapping":[1,148],"is":[2,26],"vital":[3],"in":[4,46,162],"ensuring":[5],"food":[6],"production":[7],"security":[8],"and":[9,40,152,167],"informing":[10],"governmental":[11],"decision-making.":[12],"The":[13,121,139,155,178],"satellite-normalized":[14],"difference":[15],"vegetation":[16],"index":[17],"(NDVI)":[18],"obtained":[19,52],"during":[20,53,93],"periods":[21,54,96],"of":[22,37,55,118,158],"vigorous":[23,56],"crop":[24,29,47,57,75,99,119,192],"growth":[25,58],"important":[27],"for":[28,97],"species":[30],"identification.":[31],"Sentinel-2":[32,153],"images":[33,51,71],"with":[34,78,200,213],"spatial":[35,147],"resolutions":[36],"10,":[38],"20,":[39],"60":[41],"m":[42],"are":[43,59],"widely":[44],"used":[45,127,172],"mapping.":[48,100,120],"However,":[49],"the":[50,116,132,146,159,175,183,196,209,214],"often":[60],"covered":[61],"by":[62],"clouds.":[63],"In":[64],"contrast,":[65],"time-series":[66,133],"moderate-resolution":[67],"imaging":[68],"spectrometer":[69],"(MODIS)":[70],"can":[72],"usually":[73],"capture":[74],"phenology":[76],"but":[77],"coarse":[79],"resolution.":[80],"Therefore,":[81],"a":[82,112,204],"time-series-based":[83],"spatiotemporal":[84],"fusion":[85],"network":[86,102],"(TSSTFN)":[87],"was":[88,126,142,165],"designed":[89],"to":[90,114,128,136,144,173],"generate":[91],"TSSTFN-NDVI":[92],"critical":[94,185],"phenological":[95,186],"finer-scale":[98],"This":[101],"leverages":[103],"multi-temporal":[104],"MODIS-Sentinel-2":[105],"NDVI":[106,188,198,211],"pairs":[107],"from":[108],"previous":[109],"years":[110,164],"as":[111],"reference":[113,176],"enhance":[115],"precision":[117],"long":[122],"short-term":[123],"memory":[124],"module":[125],"acquire":[129],"data":[130,202],"about":[131],"change":[134],"pattern":[135],"achieve":[137],"this.":[138],"UNet":[140],"structure":[141],"employed":[143],"manage":[145],"relationship":[149],"between":[150],"MODIS":[151],"images.":[154],"time":[156,168],"distribution":[157],"image":[160],"sequences":[161],"different":[163],"inconsistent,":[166],"alignment":[169],"strategies":[170],"were":[171],"process":[174],"data.":[177],"results":[179],"demonstrate":[180],"that":[181],"incorporating":[182],"predicted":[184,197,210],"period":[187],"consistently":[189],"yields":[190],"better":[191],"classification":[193,206],"performance.":[194],"Moreover,":[195],"trained":[199,212],"time-consistent":[201],"achieved":[203],"higher":[205],"accuracy":[207],"than":[208],"original":[215],"NDVI.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}