{"id":"https://openalex.org/W2088119183","doi":"https://doi.org/10.1109/igarss.2015.7325694","title":"A precise estimation of the 3D structure of the forest based on the fusion of airborne and terrestrial lidar data","display_name":"A precise estimation of the 3D structure of the forest based on the fusion of airborne and terrestrial lidar data","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2088119183","doi":"https://doi.org/10.1109/igarss.2015.7325694","mag":"2088119183"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7325694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7325694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5008344573","display_name":"Claudia Paris","orcid":"https://orcid.org/0000-0002-7189-6268"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Claudia Paris","raw_affiliation_strings":["Dept. of Information Engineering and Computer Science, University of Trento, Povo, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information Engineering and Computer Science, University of Trento, Povo, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044766995","display_name":"David Kelbe","orcid":"https://orcid.org/0000-0002-2893-1881"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Kelbe","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, New York, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, New York, United States","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085740223","display_name":"Jan van Aardt","orcid":"https://orcid.org/0000-0002-3036-0088"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jan van Aardt","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, New York, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, New York, United States","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006095323","display_name":"Lorenzo Bruzzone","orcid":"https://orcid.org/0000-0002-6036-459X"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Bruzzone","raw_affiliation_strings":["Universita degli Studi di Trento, Trento, Trentino-Alto Adige, IT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universita degli Studi di Trento, Trento, Trentino-Alto Adige, IT","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2335,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61311743,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"49","last_page":"52"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9980000257492065,"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/T12713","display_name":"Forest Ecology and Biodiversity Studies","score":0.9950000047683716,"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":0.7880377769470215},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6920425295829773},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6071412563323975},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5743802785873413},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5061337351799011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3823641836643219},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20628783106803894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17003145813941956}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7880377769470215},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6920425295829773},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6071412563323975},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5743802785873413},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5061337351799011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3823641836643219},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20628783106803894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17003145813941956},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2015.7325694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7325694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unitn.it:11572/117335","is_oa":false,"landing_page_url":"http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7325694","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2014428508","https://openalex.org/W2030939714","https://openalex.org/W2084890694","https://openalex.org/W2119615870","https://openalex.org/W2128492206","https://openalex.org/W2186142124","https://openalex.org/W6686791503"],"related_works":["https://openalex.org/W2351984678","https://openalex.org/W2140032575","https://openalex.org/W2011860471","https://openalex.org/W2012196540","https://openalex.org/W3011451421","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2031175860"],"abstract_inverted_index":{"Modern":[0],"forest":[1,30,137],"inventory":[2],"is":[3,24,39],"based":[4,79],"on":[5,80],"the":[6,12,16,45,61,76,81,85,88,94,101,104,120,132,136,151,154],"accurate":[7,117],"and":[8,22,63],"precise":[9],"characterization":[10],"of":[11,15,75,84,87,103,119,131,135,153],"3D":[13,133],"structure":[14,86,102,134],"forest.":[17],"Although":[18],"LiDAR":[19,65,95,109],"(Light":[20],"Detection":[21],"Ranging)":[23],"an":[25,72,116],"effective":[26],"tool":[27],"to":[28,42,98],"estimate":[29],"parameters,":[31,122],"when":[32],"acquired":[33],"from":[34],"single":[35],"view":[36],"point":[37,96,110],"it":[38,92,125],"not":[40],"able":[41],"represent":[43,100],"accurately":[44,99],"entire":[46],"scene.":[47],"To":[48],"solve":[49],"this":[50,53],"problem,":[51],"in":[52,143,147],"paper":[54],"we":[55],"present":[56],"a":[57,127,144],"method":[58,69],"that":[59],"integrates":[60,93],"terrestrial":[62],"airborne":[64],"data.":[66],"The":[67,106],"proposed":[68,155],"first":[70],"performs":[71],"automatic":[73],"co-registration":[74],"data":[77],"sources":[78],"spatial":[82],"pattern":[83],"stand":[89],"plot.":[90],"Second,":[91],"clouds":[97],"crown.":[105],"resulting":[107],"fused":[108],"cloud":[111],"can":[112],"be":[113],"used":[114],"for":[115],"estimation":[118],"crown":[121],"thus":[123],"making":[124],"possible":[126],"more":[128],"comprehensive":[129],"representation":[130],"stand.":[138],"Experimental":[139],"results":[140],"carried":[141],"out":[142],"oakland":[145],"savanna":[146],"Fresno":[148],"(California)":[149],"confirm":[150],"effectiveness":[152],"method.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
