{"id":"https://openalex.org/W2548655502","doi":"https://doi.org/10.1109/igarss.2016.7729823","title":"Improving individual tree delineation using mulriple-wavelength lidar data","display_name":"Improving individual tree delineation using mulriple-wavelength lidar data","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2548655502","doi":"https://doi.org/10.1109/igarss.2016.7729823","mag":"2548655502"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7729823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5011464681","display_name":"Baoxin Hu","orcid":"https://orcid.org/0000-0002-1858-6922"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Baoxin Hu","raw_affiliation_strings":["Department of Earth and Space Science and Engineering, York University, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Earth and Space Science and Engineering, York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5011464681"],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.19171895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"xxxiv","issue":null,"first_page":"3182","last_page":"3185"},"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":0.9993000030517578,"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":0.9962000250816345,"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/lidar","display_name":"Lidar","score":0.7873053550720215},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7239775657653809},{"id":"https://openalex.org/keywords/wavelength","display_name":"Wavelength","score":0.6956555247306824},{"id":"https://openalex.org/keywords/crown","display_name":"Crown (dentistry)","score":0.5208183526992798},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5051432251930237},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5003139972686768},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.4521888792514801},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.45169708132743835},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.41604065895080566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41363561153411865},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.33988091349601746},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.29604053497314453},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.258755087852478},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23799267411231995},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23494002223014832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21560320258140564},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2125900685787201},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12128028273582458},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09402364492416382},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07660683989524841}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7873053550720215},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7239775657653809},{"id":"https://openalex.org/C6260449","wikidata":"https://www.wikidata.org/wiki/Q41364","display_name":"Wavelength","level":2,"score":0.6956555247306824},{"id":"https://openalex.org/C2778400979","wikidata":"https://www.wikidata.org/wiki/Q143720","display_name":"Crown (dentistry)","level":2,"score":0.5208183526992798},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5051432251930237},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5003139972686768},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.4521888792514801},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.45169708132743835},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.41604065895080566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41363561153411865},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.33988091349601746},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.29604053497314453},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.258755087852478},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23799267411231995},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23494002223014832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21560320258140564},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2125900685787201},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12128028273582458},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09402364492416382},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07660683989524841},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7729823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W13427983","https://openalex.org/W1978683887","https://openalex.org/W1982788959","https://openalex.org/W1993956929","https://openalex.org/W2025814936","https://openalex.org/W2027532349","https://openalex.org/W2027781877","https://openalex.org/W2065258204","https://openalex.org/W2076865878","https://openalex.org/W2128147491","https://openalex.org/W2131058553","https://openalex.org/W2163823736","https://openalex.org/W2169059815","https://openalex.org/W2405964867","https://openalex.org/W3013741643","https://openalex.org/W4251431888","https://openalex.org/W6600512917","https://openalex.org/W6714087844","https://openalex.org/W6775610265"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W4384112194","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4308259661","https://openalex.org/W4390813131","https://openalex.org/W2594043982","https://openalex.org/W3036493597","https://openalex.org/W2115519510","https://openalex.org/W3168021885"],"abstract_inverted_index":{"The":[0,23,70],"objective":[1],"of":[2,56],"this":[3,27],"study":[4,28,81],"was":[5],"to":[6,49,59,100],"improve":[7],"individual":[8],"tree":[9,57],"crown":[10,16],"delineation":[11],"by":[12,31],"fully":[13],"exploiting":[14],"the":[15,93,101],"information":[17,55],"exhibited":[18],"in":[19,26,83],"multi-wavelength":[20],"LiDAR":[21],"data.":[22],"data":[24,76],"used":[25],"were":[29,47,72,105,117],"obtained":[30,78],"an":[32],"Optech's":[33],"Titan":[34],"instrument":[35],"with":[36,91,111,122],"three":[37,102],"wavelengths:":[38],"532":[39],"nm,":[40,42],"1064":[41],"and":[43,53,66,97,115],"1550":[44],"nm.":[45],"Methods":[46],"developed":[48],"employ":[50],"both":[51,92],"spectral":[52],"structural":[54],"crowns":[58,61],"separate":[60],"from":[62,67,107,119],"other":[63,108,121],"cover":[64,109],"types":[65,110],"each":[68,120],"other.":[69],"methods":[71],"tested":[73],"using":[74],"a":[75,80,112,123],"set":[77],"over":[79],"area":[82],"Toronto,":[84],"Ontario,":[85],"Canada.":[86],"Preliminary":[87],"results":[88],"show":[89],"that":[90],"canopy":[94],"height":[95],"model":[96],"intensities":[98],"corresponding":[99],"wavelength,":[103],"trees":[104,116],"distinguished":[106],"high":[113],"accuracy":[114,125],"separated":[118],"reasonable":[124],"(based":[126],"on":[127],"visual":[128],"observation).":[129]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
