{"id":"https://openalex.org/W2581388530","doi":"https://doi.org/10.3390/rs9020108","title":"Single-Sensor Solution to Tree Species Classi\ufb01cation Using Multispectral Airborne Laser Scanning","display_name":"Single-Sensor Solution to Tree Species Classi\ufb01cation Using Multispectral Airborne Laser Scanning","publication_year":2017,"publication_date":"2017-01-27","ids":{"openalex":"https://openalex.org/W2581388530","doi":"https://doi.org/10.3390/rs9020108","mag":"2581388530"},"language":"en","primary_location":{"id":"doi:10.3390/rs9020108","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs9020108","pdf_url":"https://www.mdpi.com/2072-4292/9/2/108/pdf?version=1486114582","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/2072-4292/9/2/108/pdf?version=1486114582","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018804090","display_name":"Xiaowei Yu","orcid":"https://orcid.org/0000-0001-5545-0613"},"institutions":[{"id":"https://openalex.org/I33876163","display_name":"Finnish Geospatial Research Institute","ror":"https://ror.org/01zv3gf04","country_code":"FI","type":"facility","lineage":["https://openalex.org/I33876163"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Xiaowei Yu","raw_affiliation_strings":["Finnish Geospatial Research Institute, National Land Survey, Geodeetinrinne 2, FI-02430 Masala, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Finnish Geospatial Research Institute, National Land Survey, Geodeetinrinne 2, FI-02430 Masala, Finland","institution_ids":["https://openalex.org/I33876163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033042071","display_name":"Juha Hyypp\u00e4","orcid":"https://orcid.org/0000-0001-5360-4017"},"institutions":[{"id":"https://openalex.org/I33876163","display_name":"Finnish Geospatial Research Institute","ror":"https://ror.org/01zv3gf04","country_code":"FI","type":"facility","lineage":["https://openalex.org/I33876163"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Juha Hyypp\u00e4","raw_affiliation_strings":["Finnish Geospatial Research Institute, National Land Survey, Geodeetinrinne 2, FI-02430 Masala, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Finnish Geospatial Research Institute, National Land Survey, Geodeetinrinne 2, FI-02430 Masala, Finland","institution_ids":["https://openalex.org/I33876163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011442459","display_name":"Paula Litkey","orcid":null},"institutions":[{"id":"https://openalex.org/I33876163","display_name":"Finnish Geospatial Research Institute","ror":"https://ror.org/01zv3gf04","country_code":"FI","type":"facility","lineage":["https://openalex.org/I33876163"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Paula Litkey","raw_affiliation_strings":["Finnish Geospatial Research Institute, National Land Survey, Geodeetinrinne 2, FI-02430 Masala, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Finnish Geospatial Research Institute, National Land Survey, Geodeetinrinne 2, FI-02430 Masala, Finland","institution_ids":["https://openalex.org/I33876163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043014786","display_name":"Harri Kaartinen","orcid":"https://orcid.org/0000-0002-4796-3942"},"institutions":[{"id":"https://openalex.org/I33876163","display_name":"Finnish Geospatial Research Institute","ror":"https://ror.org/01zv3gf04","country_code":"FI","type":"facility","lineage":["https://openalex.org/I33876163"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Harri Kaartinen","raw_affiliation_strings":["Finnish Geospatial Research Institute, National Land Survey, Geodeetinrinne 2, FI-02430 Masala, Finland"],"raw_orcid":"https://orcid.org/0000-0002-4796-3942","affiliations":[{"raw_affiliation_string":"Finnish Geospatial Research Institute, National Land Survey, Geodeetinrinne 2, FI-02430 Masala, Finland","institution_ids":["https://openalex.org/I33876163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047838080","display_name":"Mikko Vastaranta","orcid":"https://orcid.org/0000-0001-6552-9122"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Mikko Vastaranta","raw_affiliation_strings":["Department of Forest Sciences, University of Helsinki, FI-00014 Helsinki, Finland"],"raw_orcid":"https://orcid.org/0000-0001-6552-9122","affiliations":[{"raw_affiliation_string":"Department of Forest Sciences, University of Helsinki, FI-00014 Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061837252","display_name":"Markus Holopainen","orcid":"https://orcid.org/0000-0001-6489-8671"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Markus Holopainen","raw_affiliation_strings":["Department of Forest Sciences, University of Helsinki, FI-00014 Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Forest Sciences, University of Helsinki, FI-00014 Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5018804090"],"corresponding_institution_ids":["https://openalex.org/I33876163"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":9.7137,"has_fulltext":true,"cited_by_count":128,"citation_normalized_percentile":{"value":0.98890701,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"9","issue":"2","first_page":"108","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"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/T11880","display_name":"Forest ecology and management","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"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/T12713","display_name":"Forest Ecology and Biodiversity Studies","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect 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/remote-sensing","display_name":"Remote sensing","score":0.683953046798706},{"id":"https://openalex.org/keywords/scots-pine","display_name":"Scots pine","score":0.6489865779876709},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5940263271331787},{"id":"https://openalex.org/keywords/picea-abies","display_name":"Picea abies","score":0.5779034495353699},{"id":"https://openalex.org/keywords/laser-scanning","display_name":"Laser scanning","score":0.5667212009429932},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5596089959144592},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5409324169158936},{"id":"https://openalex.org/keywords/kappa","display_name":"Kappa","score":0.47951844334602356},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4638882279396057},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.43344953656196594},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3140873312950134},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2725529074668884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20613065361976624},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20588529109954834},{"id":"https://openalex.org/keywords/pinus-genus","display_name":"Pinus <genus>","score":0.18199479579925537},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1523180603981018},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.1333027482032776},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.11771348118782043},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08720088005065918},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07599759101867676}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.683953046798706},{"id":"https://openalex.org/C2779128174","wikidata":"https://www.wikidata.org/wiki/Q133128","display_name":"Scots pine","level":3,"score":0.6489865779876709},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5940263271331787},{"id":"https://openalex.org/C2777427081","wikidata":"https://www.wikidata.org/wiki/Q145992","display_name":"Picea abies","level":2,"score":0.5779034495353699},{"id":"https://openalex.org/C141349535","wikidata":"https://www.wikidata.org/wiki/Q1361664","display_name":"Laser scanning","level":3,"score":0.5667212009429932},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5596089959144592},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5409324169158936},{"id":"https://openalex.org/C2778724333","wikidata":"https://www.wikidata.org/wiki/Q14401","display_name":"Kappa","level":2,"score":0.47951844334602356},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4638882279396057},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.43344953656196594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3140873312950134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2725529074668884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20613065361976624},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20588529109954834},{"id":"https://openalex.org/C2910048773","wikidata":"https://www.wikidata.org/wiki/Q1924659","display_name":"Pinus <genus>","level":2,"score":0.18199479579925537},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1523180603981018},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.1333027482032776},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.11771348118782043},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08720088005065918},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07599759101867676},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs9020108","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs9020108","pdf_url":"https://www.mdpi.com/2072-4292/9/2/108/pdf?version=1486114582","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:helda.helsinki.fi:10138/182254","is_oa":true,"landing_page_url":"http://hdl.handle.net/10138/182254","pdf_url":"http://hdl.handle.net/10138/182254","source":{"id":"https://openalex.org/S4210213322","display_name":"Ty\u00f6v\u00e4entutkimus Vuosikirja","issn_l":"0784-1272","issn":["0784-1272","1459-7780"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:d1e896b87f784d4d8232266713db4019","is_oa":true,"landing_page_url":"https://doaj.org/article/d1e896b87f784d4d8232266713db4019","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 9, Iss 2, p 108 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs9020108","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs9020108","pdf_url":"https://www.mdpi.com/2072-4292/9/2/108/pdf?version=1486114582","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/15","score":0.7599999904632568,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G5898900391","display_name":null,"funder_award_id":"293389","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G779479861","display_name":null,"funder_award_id":"272195","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"}],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2581388530.pdf","grobid_xml":"https://content.openalex.org/works/W2581388530.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W84227776","https://openalex.org/W1496824059","https://openalex.org/W1565635109","https://openalex.org/W1969607685","https://openalex.org/W1970535395","https://openalex.org/W1976355581","https://openalex.org/W1990763871","https://openalex.org/W2011287807","https://openalex.org/W2018732570","https://openalex.org/W2019126302","https://openalex.org/W2022576632","https://openalex.org/W2028413465","https://openalex.org/W2028716078","https://openalex.org/W2032413422","https://openalex.org/W2042891401","https://openalex.org/W2051586552","https://openalex.org/W2068885053","https://openalex.org/W2072708786","https://openalex.org/W2080096625","https://openalex.org/W2083442268","https://openalex.org/W2084291846","https://openalex.org/W2087346592","https://openalex.org/W2089806346","https://openalex.org/W2094857592","https://openalex.org/W2097337758","https://openalex.org/W2126058313","https://openalex.org/W2128135560","https://openalex.org/W2134312403","https://openalex.org/W2137933418","https://openalex.org/W2139053550","https://openalex.org/W2139086914","https://openalex.org/W2147197381","https://openalex.org/W2152016466","https://openalex.org/W2155260804","https://openalex.org/W2161263303","https://openalex.org/W2161746820","https://openalex.org/W2163244184","https://openalex.org/W2180526376","https://openalex.org/W2253886175","https://openalex.org/W2388013952","https://openalex.org/W2415223415","https://openalex.org/W2911964244","https://openalex.org/W4241764485","https://openalex.org/W6603383834","https://openalex.org/W6642535928","https://openalex.org/W6691857744"],"related_works":["https://openalex.org/W2004150936","https://openalex.org/W4393783013","https://openalex.org/W2018978190","https://openalex.org/W2509501243","https://openalex.org/W839314476","https://openalex.org/W3106355576","https://openalex.org/W2167228213","https://openalex.org/W2026496165","https://openalex.org/W1988910252","https://openalex.org/W2276834736"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigated":[2],"the":[3,126,166,197,216,327],"potential":[4,335],"of":[5,33,72,109,118,138,203,215,222,237,246,261,317,329],"multispectral":[6,57,330],"airborne":[7],"laser":[8],"scanning":[9],"(ALS)":[10],"data":[11,332],"for":[12,27,38,92,143,219,258,266,277,296,342],"individual":[13],"tree":[14,17,93,99,139],"detection":[15,235,250],"and":[16,41,56,81,101,115,120,155,227,239,252,256,264,273,275,300,308,320],"species":[18,94,140],"classification.":[19,106],"The":[20,133,248,285],"aim":[21],"was":[22,146,161],"to":[23,269,336,338],"develop":[24],"a":[25,67,152,234,242,259,270,281,339],"single-sensorsolution":[26],"forest":[28,39,105,343],"mapping":[29],"that":[30,168,225,288,326],"is":[31],"capable":[32],"providing":[34],"species-specific":[35],"information,":[36],"required":[37],"management":[40],"planning":[42],"purposes.":[43],"Experiments":[44],"were":[45,95,123,130,169,207,254],"conducted":[46],"using":[47,151,172],"1903":[48],"ground":[49],"measured":[50],"trees":[51,145,206,223,229,267,278],"from":[52,97,165],"22":[53],"sample":[54],"plots":[55],"ALS":[58,331],"data,":[59],"acquired":[60],"with":[61,200,233,241,313],"an":[62,201,314],"Optech":[63],"Titan":[64],"scanner":[65],"over":[66],"boreal":[68],"forest,":[69],"mainly":[70],"consisting":[71],"Scots":[73],"pine":[74],"(Pinus":[75],"Sylvestris),":[76],"Norway":[77],"spruce":[78],"(Picea":[79],"Abies),":[80],"birch":[82],"(Betula":[83],"sp.),":[84],"in":[85,103],"southern":[86],"Finland.":[87],"ALS-features":[88],"used":[89,102],"as":[90],"predictors":[91],"extracted":[96],"segmented":[98],"objects":[100],"random":[104],"Different":[107],"combinations":[108],"features,":[110,114],"including":[111],"point":[112,153],"cloud":[113,154,193],"intensity":[116,157,183],"features":[117,158,174,184,194],"single":[119],"multiple":[121],"channels,":[122],"tested.":[124],"Among":[125],"field-measured":[127],"trees,":[128,262],"61.3%":[129],"correctly":[131],"detected.":[132],"best":[134],"overall":[135,244,315],"accuracy":[136,218,245,253,316],"(OA)":[137],"classification":[141,217],"achieved":[142,196],"correctly-detected":[144],"85.9%":[147],"(Kappa":[148],"=":[149,176,179,187,190],"0.75),":[150,180],"single-channel":[156,182],"combination,":[159],"which":[160],"not":[162],"significantly":[163],"different":[164],"ones":[167],"obtained":[170],"either":[171],"all":[173],"(OA":[175,186],"85.6%,":[177],"Kappa":[178,189],"or":[181],"alone":[185,195],"85.4%,":[188],"0.75).":[191],"Point":[192],"lowest":[198],"accuracy,":[199],"OA":[202],"76.0%.":[204],"Field-measured":[205],"also":[208],"divided":[209],"into":[210],"four":[211,220],"categories.":[212],"An":[213],"examination":[214],"categories":[221],"showed":[224],"isolated":[226],"dominant":[228],"can":[230],"be":[231],"detected":[232],"rate":[236,251],"91.9%,":[238],"classified":[240],"high":[243],"90.5%.":[247],"corresponding":[249],"81.5%":[255],"89.8%":[257],"group":[260],"26.4%":[263],"79.1%":[265],"next":[268],"larger":[271,282],"tree,":[272,283],"7.2%":[274],"53.9%":[276],"situated":[279],"under":[280],"respectively.":[284,322],"results":[286,324],"suggest":[287],"Channel":[289],"2":[290],"(1064":[291],"nm)":[292,307,312],"contains":[293],"more":[294],"information":[295],"separating":[297],"pine,":[298],"spruce,":[299],"birch,":[301],"followed":[302],"by":[303],"channel":[304,309],"1":[305],"(1550":[306],"3":[310],"(532":[311],"81.9%,":[318],"78.3%,":[319],"69.1%,":[321],"Our":[323],"indicate":[325],"use":[328],"has":[333],"great":[334],"lead":[337],"single-sensor":[340],"solution":[341],"mapping.":[344]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":5}],"updated_date":"2026-06-12T08:23:45.883708","created_date":"2017-02-03T00:00:00"}