{"id":"https://openalex.org/W3205089910","doi":"https://doi.org/10.1109/igarss47720.2021.9554810","title":"A New Spatiotemporal Data Fusion Method to Reconstruct High-Quality Landsat Ndvi Time-Series Data","display_name":"A New Spatiotemporal Data Fusion Method to Reconstruct High-Quality Landsat Ndvi Time-Series Data","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3205089910","doi":"https://doi.org/10.1109/igarss47720.2021.9554810","mag":"3205089910"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-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/A5035577225","display_name":"Xiaofang Ling","orcid":"https://orcid.org/0000-0002-4524-8865"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaofang Ling","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","The Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"The Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, P. R. China","institution_ids":["https://openalex.org/I3018263800","https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062997304","display_name":"Ruyin Cao","orcid":"https://orcid.org/0000-0002-8122-9696"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruyin Cao","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","The Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"The Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, P. R. China","institution_ids":["https://openalex.org/I3018263800","https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035577225"],"corresponding_institution_ids":["https://openalex.org/I150229711","https://openalex.org/I3018263800"],"apc_list":null,"apc_paid":null,"fwci":1.0098,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.7703026,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2564","last_page":"2567"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9991999864578247,"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":0.9991999864578247,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9897000193595886,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.7553690671920776},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.682267427444458},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6613049507141113},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6510334014892578},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.601375937461853},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5702245235443115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5700031518936157},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5626825094223022},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5433633327484131},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5270500183105469},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.4272039532661438},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39046043157577515},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3500468134880066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19896259903907776},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1660725474357605},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.15156736969947815},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13981232047080994},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12034004926681519},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10031002759933472}],"concepts":[{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.7553690671920776},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.682267427444458},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6613049507141113},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6510334014892578},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.601375937461853},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5702245235443115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5700031518936157},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5626825094223022},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5433633327484131},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5270500183105469},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.4272039532661438},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39046043157577515},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3500468134880066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19896259903907776},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1660725474357605},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.15156736969947815},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13981232047080994},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12034004926681519},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10031002759933472},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"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":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2018636632","https://openalex.org/W2028240797","https://openalex.org/W2088603520","https://openalex.org/W2105307752","https://openalex.org/W2200350976","https://openalex.org/W2771552585","https://openalex.org/W2795018073","https://openalex.org/W2884971508","https://openalex.org/W2938854198"],"related_works":["https://openalex.org/W3207046288","https://openalex.org/W3023446922","https://openalex.org/W4324030030","https://openalex.org/W4385533602","https://openalex.org/W3189212133","https://openalex.org/W4382239404","https://openalex.org/W2526455285","https://openalex.org/W4382519838","https://openalex.org/W2803445926","https://openalex.org/W2333749507"],"abstract_inverted_index":{"Landsat":[0,12,35,80],"NDVI":[1,13,36],"time-series":[2,14,37],"data":[3,15,26,81],"have":[4],"great":[5],"potential":[6,139],"in":[7,68,82,102,144],"global":[8],"change":[9],"research.":[10],"However,":[11],"are":[16],"quite":[17],"discontinuous":[18],"due":[19],"to":[20,33,73,140],"frequent":[21],"cloud":[22],"contamination.":[23],"Although":[24],"spatiotemporal":[25,41,60],"fusion":[27,42,61],"technology":[28],"has":[29,137],"been":[30],"widely":[31,142],"used":[32,143],"reconstruct":[34],"data,":[38],"the":[39,46,65,69,75,138],"existing":[40],"methods":[43],"usually":[44],"ignore":[45],"effective":[47],"use":[48],"of":[49,104,122,124,127],"partially":[50,70],"cloud-contaminated":[51,71],"images.":[52],"In":[53],"this":[54],"study,":[55],"we":[56,96,133],"presented":[57],"a":[58],"new":[59],"method,":[62],"which":[63],"employed":[64],"cloud-free":[66],"pixels":[67],"images":[72],"Correct":[74],"inconsistency":[76],"between":[77],"MODIS":[78],"and":[79,108,115,130,149],"Spatiotemporal":[83],"DAta":[84],"Fusion":[85],"(called":[86],"CSDAF).":[87],"By":[88],"comparing":[89],"with":[90],"recently":[91],"developed":[92],"advanced":[93],"algorithm":[94],"IFSDAF,":[95],"found":[97],"that":[98,123,135],"CSDAF":[99,112,136],"performed":[100],"better":[101],"terms":[103],"both":[105],"visual":[106],"inspections":[107],"quantitative":[109],"evaluations.":[110],"Besides,":[111],"is":[113,119],"simple":[114],"its":[116],"running":[117,131],"time":[118],"about":[120],"1/4":[121],"IFSDAF.":[125],"Because":[126],"high":[128],"accuracy":[129],"efficiency,":[132],"expect":[134],"be":[141],"forestry":[145],"investigations,":[146],"ecological":[147],"evaluations":[148],"other":[150],"relevant":[151],"fields.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}