{"id":"https://openalex.org/W2140842425","doi":"https://doi.org/10.1109/igarss.2013.6723377","title":"Assessing the uncertainty of non-change in national-scale vegetation mapping using 3D wavelet transformed NDVI time series","display_name":"Assessing the uncertainty of non-change in national-scale vegetation mapping using 3D wavelet transformed NDVI time series","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2140842425","doi":"https://doi.org/10.1109/igarss.2013.6723377","mag":"2140842425"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2013.6723377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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/A5048518432","display_name":"Hee Young Yoo","orcid":null},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hee Young Yoo","raw_affiliation_strings":["Geoinformatic Engineering Research Institute, Inha University, Korea","Geoinformatic Eng. Res. Inst., Inha Univ., Incheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geoinformatic Engineering Research Institute, Inha University, Korea","institution_ids":["https://openalex.org/I191879574"]},{"raw_affiliation_string":"Geoinformatic Eng. Res. Inst., Inha Univ., Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087645671","display_name":"Stefan Leyk","orcid":"https://orcid.org/0000-0001-9180-4853"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefan Leyk","raw_affiliation_strings":["Department of Geography, University of Colorado at Boulder, USA","Dept. of Geogr., Univ. of Colorado at Boulder, Boulder, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Colorado at Boulder, USA","institution_ids":["https://openalex.org/I188538660"]},{"raw_affiliation_string":"Dept. of Geogr., Univ. of Colorado at Boulder, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024837830","display_name":"No-Wook Park","orcid":"https://orcid.org/0000-0002-9778-3624"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"No-Wook Park","raw_affiliation_strings":["Department of Geoinformatic Engineering, Inha University, Korea","Department of Geoinformatic Engineering, Inha University, Incheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geoinformatic Engineering, Inha University, Korea","institution_ids":["https://openalex.org/I191879574"]},{"raw_affiliation_string":"Department of Geoinformatic Engineering, Inha University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.109112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"2688","last_page":"2691"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9993000030517578,"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":0.9993000030517578,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9896000027656555,"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/wavelet","display_name":"Wavelet","score":0.6896306872367859},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.6807752251625061},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6778870820999146},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5830287933349609},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5686153769493103},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5317455530166626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5053187012672424},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.48105597496032715},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.47447994351387024},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.4381037950515747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43599414825439453},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36427056789398193},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3544793128967285},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2763257622718811},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27194997668266296},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1879490315914154},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16568157076835632},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.060879796743392944}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6896306872367859},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.6807752251625061},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6778870820999146},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5830287933349609},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5686153769493103},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5317455530166626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5053187012672424},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.48105597496032715},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.47447994351387024},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.4381037950515747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43599414825439453},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36427056789398193},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3544793128967285},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2763257622718811},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27194997668266296},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1879490315914154},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16568157076835632},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.060879796743392944},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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/igarss.2013.6723377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1927307450","https://openalex.org/W1988713966","https://openalex.org/W2005073772","https://openalex.org/W2016435228","https://openalex.org/W2033456942","https://openalex.org/W2091804612","https://openalex.org/W6640276361"],"related_works":["https://openalex.org/W3207046288","https://openalex.org/W3023446922","https://openalex.org/W4324030030","https://openalex.org/W1980260791","https://openalex.org/W4385533602","https://openalex.org/W3189212133","https://openalex.org/W4382239404","https://openalex.org/W2053086167","https://openalex.org/W4382519838","https://openalex.org/W2077021924"],"abstract_inverted_index":{"The":[0],"national":[1],"or":[2],"international":[3],"mapping":[4],"projects":[5],"have":[6],"usually":[7],"long":[8,15,88],"interval":[9],"to":[10,31,37,58,72,135],"update.":[11],"To":[12],"complement":[13],"this":[14],"interval,":[16],"satellite":[17,45,62],"imagery":[18],"obtained":[19],"periodically":[20],"and":[21,49,91,95,98],"continuously":[22],"is":[23,27],"useful.":[24],"This":[25,127],"study":[26,128],"a":[28,105],"preliminary":[29],"step":[30],"generate":[32],"annual":[33],"spatial":[34,97],"datasets":[35],"comparable":[36],"the":[38,60,121],"existing":[39],"vegetation":[40],"cover":[41],"(EVC)":[42],"layers":[43],"using":[44],"imagery.":[46],"We":[47],"introduced":[48],"tested":[50],"an":[51],"approach":[52],"based":[53,67],"on":[54],"3D":[55,64,79,107],"wavelet":[56,65,80,108],"transform":[57,66,81],"analyze":[59,96],"multi-temporal":[61],"images.":[63],"analysis":[68],"was":[69],"experimentally":[70],"applied":[71],"NDVI":[73,123],"images":[74],"where":[75],"identifying":[76],"non-changed":[77,125],"pixels.":[78],"can":[82,129],"extract":[83],"important":[84],"patterns":[85],"such":[86],"as":[87],"term":[89,93],"trends":[90],"short":[92],"events":[94],"temporal":[99],"relations":[100],"with":[101],"neighboring":[102],"pixel.":[103],"As":[104],"result,":[106],"transformed":[109],"LLL":[110],"values":[111],"were":[112],"much":[113],"more":[114],"stable":[115],"across":[116,139],"time":[117],"than":[118],"those":[119],"of":[120],"original":[122],"in":[124],"areas.":[126],"provide":[130],"fundamentals":[131],"for":[132],"image":[133,137],"correction":[134],"ensure":[136],"comparability":[138],"years.":[140]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
