{"id":"https://openalex.org/W2551814765","doi":null,"title":"IMAGE-BASED DENDROMETRY SYSTEM FOR STANDING TREES","display_name":"IMAGE-BASED DENDROMETRY SYSTEM FOR STANDING TREES","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2551814765","mag":"2551814765"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.708.2744","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.708.2744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.scionresearch.com/__data/assets/pdf_file/0018/5553/02_BROWNLIE.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5061185068","display_name":"Rod K. Brownlie","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rod K. Brownlie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038635938","display_name":"W. W. Carson","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"W. W. Carson","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"J. G. Firth","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. G. Firth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5023259660","display_name":"C. J. Goulding","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. J. Goulding","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.50286519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.5526999831199646,"subfield":{"id":"https://openalex.org/subfields/1107","display_name":"Forestry"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.5526999831199646,"subfield":{"id":"https://openalex.org/subfields/1107","display_name":"Forestry"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11880","display_name":"Forest ecology and management","score":0.19130000472068787,"subfield":{"id":"https://openalex.org/subfields/1107","display_name":"Forestry"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.13040000200271606,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/standing-trees","display_name":"standing trees","score":0.8539999723434448},{"id":"https://openalex.org/keywords/stem-diameter","display_name":"stem diameter","score":0.6769999861717224},{"id":"https://openalex.org/keywords/branch-diameter","display_name":"branch diameter","score":0.9700000286102295},{"id":"https://openalex.org/keywords/internodal-distance","display_name":"internodal distance","score":0.9769999980926514},{"id":"https://openalex.org/keywords/tree-height-measurement","display_name":"tree height measurement","score":0.8119999766349792},{"id":"https://openalex.org/keywords/stem-quality","display_name":"stem quality","score":0.6069999933242798},{"id":"https://openalex.org/keywords/photogrammetry","display_name":"photogrammetry","score":0.6169999837875366}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6118051409721375},{"id":"https://openalex.org/C117455697","wikidata":"https://www.wikidata.org/wiki/Q190149","display_name":"Photogrammetry","level":2,"score":0.5906482338905334},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5698640942573547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5195651054382324},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5005948543548584},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49924492835998535},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4870012402534485},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.42134416103363037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3078044652938843},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0908510684967041},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.708.2744","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.708.2744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.scionresearch.com/__data/assets/pdf_file/0018/5553/02_BROWNLIE.pdf","raw_type":"text"},{"id":"mag:2551814765","doi":null,"is_oa":false,"landing_page_url":"http://www.scionresearch.com/__data/assets/pdf_file/0018/5553/02_BROWNLIE.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W646296931","https://openalex.org/W1559072274","https://openalex.org/W2018191239","https://openalex.org/W2099941741","https://openalex.org/W2439497007"],"related_works":["https://openalex.org/W7096824419","https://openalex.org/W2907161654","https://openalex.org/W2415967895","https://openalex.org/W2249949048","https://openalex.org/W2392947483","https://openalex.org/W7097784228","https://openalex.org/W2151365013","https://openalex.org/W2191189937","https://openalex.org/W2883133532","https://openalex.org/W7097951275"],"abstract_inverted_index":{"A":[0],"new":[1],"photogrammetric":[2],"image-based":[3],"dendrometry":[4],"system":[5,100,158],"called":[6],"TreeD":[7],"is":[8,187],"particularly":[9],"suited":[10],"for":[11,116,163],"measuring":[12],"stem":[13,82,125,133,164,198],"features":[14],"on":[15,79],"individual":[16],"standing":[17],"trees.":[18],"There":[19],"are":[20,35,51,58],"two":[21],"phases":[22],"in":[23,64,94,168,191],"the":[24,27,38,56,62,80,88,91,99],"application":[25],"of":[26,37,75,90,98,106,110,141,152,178,197],"system.":[28],"In":[29,53],"phase":[30,54],"one,":[31],"stereo":[32],"digital":[33],"images":[34,63,105],"taken":[36],"sample":[39,180],"trees":[40,181],"and":[41,87,131,165,182,186],"seven":[42],"field":[43],"parameters":[44,57],"associated":[45],"with":[46],"that":[47,115],"particular":[48],"image/object":[49],"environment":[50],"measured.":[52],"two,":[55],"used":[59,190],"to":[60,138,149,194],"register":[61],"a":[65,107,174],"computer":[66],"where":[67],"they":[68],"can":[69,83,135,159],"be":[70,85,136],"viewed":[71],"stereoscopically.":[72],"The":[73,157],"dimensions":[74],"any":[76],"feature":[77,92],"visible":[78],"tree":[81],"then":[84],"measured,":[86],"position":[89],"located":[93],"three-dimensional":[95],"space.":[96],"Validation":[97],"was":[101],"carried":[102],"out":[103],"using":[104],"radio":[108],"mast":[109],"known":[111],"dimensions;":[112],"results":[113],"showed":[114],"heights":[117],"less":[118],"than":[119,154],"20":[120],"m,":[121],"characteristics":[122],"such":[123],"as":[124],"diameters,":[126,128],"branch":[127],"internodal":[129],"distances,":[130],"(implicitly)":[132],"sweep":[134],"measured":[137,148],"an":[139,150],"accuracy":[140,151],"\u00b11":[142],"cm.":[143,156],"Absolute":[144],"height":[145],"measurements":[146],"were":[147],"better":[153],"10":[155],"provide":[160],"essential":[161],"information":[162],"log":[166],"characterisation":[167],"pre-harvest":[169],"assessment.":[170],"It":[171],"also":[172],"provides":[173],"useful":[175],"image":[176],"archive":[177],"all":[179],"data":[183],"capture":[184],"points":[185],"routinely":[188],"being":[189],"research":[192],"trials":[193],"improve":[195],"understanding":[196],"quality.":[199]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-11-30T00:00:00"}
