{"id":"https://openalex.org/W4387803640","doi":"https://doi.org/10.1109/igarss52108.2023.10281997","title":"Exploring Common Hyperspectral Features of Early-Stage Pine Wilt Disease at Different Scales, for Different Pine Species, and at Different Regions","display_name":"Exploring Common Hyperspectral Features of Early-Stage Pine Wilt Disease at Different Scales, for Different Pine Species, and at Different Regions","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387803640","doi":"https://doi.org/10.1109/igarss52108.2023.10281997"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10281997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10281997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","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/A5043234820","display_name":"Niwen Li","orcid":null},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Niwen Li","raw_affiliation_strings":["Beijing Forestry University,Precision Forestry Key Laboratory of Beijing, Forestry College,Beijing,China,100083","The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Forestry University,Precision Forestry Key Laboratory of Beijing, Forestry College,Beijing,China,100083","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073943659","display_name":"Langning Huo","orcid":"https://orcid.org/0000-0001-8432-8609"},"institutions":[{"id":"https://openalex.org/I298625061","display_name":"Swedish University of Agricultural Sciences","ror":"https://ror.org/02yy8x990","country_code":"SE","type":"education","lineage":["https://openalex.org/I298625061"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Langning Huo","raw_affiliation_strings":["Swedish University of Agriculture Sciences,Department of Forest Resource Management,Umeå,SE-901 83"],"affiliations":[{"raw_affiliation_string":"Swedish University of Agriculture Sciences,Department of Forest Resource Management,Umeå,SE-901 83","institution_ids":["https://openalex.org/I298625061"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053557314","display_name":"Xiaoli Zhang","orcid":"https://orcid.org/0000-0001-7443-1557"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoli Zhang","raw_affiliation_strings":["Beijing Forestry University,Precision Forestry Key Laboratory of Beijing, Forestry College,Beijing,China,100083","The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Forestry University,Precision Forestry Key Laboratory of Beijing, Forestry College,Beijing,China,100083","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043234820"],"corresponding_institution_ids":["https://openalex.org/I31683504"],"apc_list":null,"apc_paid":null,"fwci":1.2337,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80045492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"7575","last_page":"7578"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11691","display_name":"Forest Insect Ecology and Management","score":0.9988999962806702,"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/T11691","display_name":"Forest Insect Ecology and Management","score":0.9988999962806702,"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/T10825","display_name":"Plant Pathogens and Fungal Diseases","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12894","display_name":"Date Palm Research Studies","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8976935744285583},{"id":"https://openalex.org/keywords/red-edge","display_name":"Red edge","score":0.8352760672569275},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.5426696538925171},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5338484048843384},{"id":"https://openalex.org/keywords/wilt-disease","display_name":"Wilt disease","score":0.5226166844367981},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5057713985443115},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.49223676323890686},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4605518877506256},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.45857173204421997},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.29416409134864807},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.2336139678955078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.22416740655899048},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21458593010902405},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18297377228736877},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.14844724535942078},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09896349906921387}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8976935744285583},{"id":"https://openalex.org/C2776388979","wikidata":"https://www.wikidata.org/wiki/Q3422640","display_name":"Red edge","level":3,"score":0.8352760672569275},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.5426696538925171},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5338484048843384},{"id":"https://openalex.org/C2776678335","wikidata":"https://www.wikidata.org/wiki/Q3281368","display_name":"Wilt disease","level":2,"score":0.5226166844367981},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5057713985443115},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.49223676323890686},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4605518877506256},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.45857173204421997},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.29416409134864807},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.2336139678955078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.22416740655899048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21458593010902405},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18297377228736877},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.14844724535942078},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09896349906921387},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss52108.2023.10281997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10281997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:pub.epsilon.slu.se:31997","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402317","display_name":"Epsilon Open Archive (Sveriges lantbruksuniversitet biblioteket (Swedish University of Agricultural Sciences))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I298625061","host_organization_name":"Swedish University of Agricultural Sciences","host_organization_lineage":["https://openalex.org/I298625061"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.47999998927116394}],"awards":[],"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":7,"referenced_works":["https://openalex.org/W39359695","https://openalex.org/W2036529502","https://openalex.org/W2769215702","https://openalex.org/W2791561615","https://openalex.org/W2898964721","https://openalex.org/W4287958154","https://openalex.org/W4312598720"],"related_works":["https://openalex.org/W1530714417","https://openalex.org/W1974983556","https://openalex.org/W2800518941","https://openalex.org/W2965593766","https://openalex.org/W2792900735","https://openalex.org/W2901328217","https://openalex.org/W2970415637","https://openalex.org/W3149506821","https://openalex.org/W2080441468","https://openalex.org/W2348255324"],"abstract_inverted_index":{"Pine":[0],"wilt":[1],"disease":[2,8,201],"(PWD)":[3],"is":[4,37],"a":[5,14,94,104,127],"devastating":[6],"forest":[7,36],"and":[9,29,58,68,70,85,103,159,165,185,188,205,216,224,243],"has":[10],"been":[11],"listed":[12],"as":[13],"quarantine":[15],"pest":[16],"in":[17,75],"52":[18],"countries":[19],"around":[20],"the":[21,26,35,41,48,60,114,140,143,154,163,172,179,189,195,200,209,218,233],"world.":[22],"Early":[23],"identification":[24,55],"of":[25,32,50,56,80,97,106,130,156,191,199],"affected":[27],"trees":[28],"timely":[30],"removal":[31],"them":[33],"from":[34,64,71,123,162],"crucial":[38],"to":[39,46,152],"control":[40],"spread.":[42],"This":[43],"study":[44],"aims":[45],"explore":[47],"potential":[49],"hyperspectral":[51,81,91,121],"data":[52,82],"on":[53],"early":[54,197],"PWD":[57],"exhibit":[59],"common":[61],"spectral":[62,95,128,157],"features,":[63],"early-infected":[65,166],"tree":[66],"crowns":[67],"needles,":[69],"different":[72,76,241,245],"species":[73],"located":[74],"regions.":[77],"Two":[78],"types":[79],"were":[83,111,175,232],"used":[84,138,147],"compared.":[86],"One":[87],"was":[88,119,137],"using":[89,120],"drone-based":[90],"images":[92,110],"with":[93,126,202,237],"range":[96,129],"400":[98],"\u2013":[99,132],"1":[100],"000":[101],"nm":[102],"resolution":[105],"0.11":[107],"m.":[108],"The":[109,117,168],"analyzed":[112],"at":[113,142,182,208,217,240],"individual-tree":[115,184,210],"level.":[116,145],"other":[118,180],"reflectance":[122,158,161],"sampled":[124],"needles":[125],"350":[131],"2":[133],"500":[134],"nm.":[135],"It":[136],"for":[139,212,221,244],"analysis":[141,150],"needle":[144,186,219],"We":[146,227],"linear":[148],"discriminant":[149],"(LDA)":[151],"quantify":[153],"separability":[155],"first-derivative":[160,190],"healthy":[164],"samples.":[167],"results":[169],"showed":[170],"that":[171,229],"red-edge":[173,192,230],"bands":[174,181,193,231,236],"more":[176],"sensitive":[177],"than":[178],"both":[183],"levels,":[187],"achieved":[194],"best":[196],"recognition":[198],"0.78,":[203],"0.72,":[204],"0.85":[206],"accuracy":[207],"level":[211,220],"Chinese":[213],"red":[214],"pine":[215,223],"Japanese":[222],"Korean":[225],"pine.":[226],"concluded":[228],"most":[234],"informative":[235],"stable":[238],"sensitivity":[239],"scales":[242],"species.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}