{"id":"https://openalex.org/W4379806061","doi":"https://doi.org/10.1109/jurse57346.2023.10144134","title":"Tree species mapping in the Brussels Capital Region using deep learning and data fusion","display_name":"Tree species mapping in the Brussels Capital Region using deep learning and data fusion","publication_year":2023,"publication_date":"2023-05-17","ids":{"openalex":"https://openalex.org/W4379806061","doi":"https://doi.org/10.1109/jurse57346.2023.10144134"},"language":"en","primary_location":{"id":"doi:10.1109/jurse57346.2023.10144134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jurse57346.2023.10144134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Joint Urban Remote Sensing Event (JURSE)","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/A5090202589","display_name":"Robbe Neyns","orcid":"https://orcid.org/0000-0002-6435-9034"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Robbe Neyns","raw_affiliation_strings":["Vrije Universiteit Brussel,Cartography and GIS Group,Brussels,Belgium","Cartography and GIS Group, Vrije Universiteit Brussel, Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel,Cartography and GIS Group,Brussels,Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Cartography and GIS Group, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056510473","display_name":"Kyriakos Efthymiadis","orcid":"https://orcid.org/0000-0002-2235-5115"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Kyriakos Efthymiadis","raw_affiliation_strings":["Vrije Universiteit Brussel,Artificial Intelligence Lab,Brussels,Belgium","Artificial Intelligence Lab, Vrije Universiteit Brussel, Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel,Artificial Intelligence Lab,Brussels,Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Artificial Intelligence Lab, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068276498","display_name":"Pieter Libin","orcid":"https://orcid.org/0000-0003-3906-758X"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Pieter Libin","raw_affiliation_strings":["Vrije Universiteit Brussel,Artificial Intelligence Lab,Brussels,Belgium","Artificial Intelligence Lab, Vrije Universiteit Brussel, Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel,Artificial Intelligence Lab,Brussels,Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Artificial Intelligence Lab, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091439710","display_name":"Frank Canters","orcid":"https://orcid.org/0000-0002-5850-9577"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Frank Canters","raw_affiliation_strings":["Vrije Universiteit Brussel,Cartography and GIS Group,Brussels,Belgium","Cartography and GIS Group, Vrije Universiteit Brussel, Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel,Cartography and GIS Group,Brussels,Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Cartography and GIS Group, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I13469542"],"apc_list":null,"apc_paid":null,"fwci":0.3189,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52514279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/orthophoto","display_name":"Orthophoto","score":0.9112086296081543},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7017214298248291},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5560217499732971},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5225962400436401},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4807684123516083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4720804691314697},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4610445201396942},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.45098432898521423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3270895481109619},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2566172480583191},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14257055521011353},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12121868133544922}],"concepts":[{"id":"https://openalex.org/C82789328","wikidata":"https://www.wikidata.org/wiki/Q922585","display_name":"Orthophoto","level":2,"score":0.9112086296081543},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7017214298248291},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5560217499732971},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5225962400436401},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4807684123516083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4720804691314697},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4610445201396942},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.45098432898521423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3270895481109619},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2566172480583191},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14257055521011353},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12121868133544922},{"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},{"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:10.1109/jurse57346.2023.10144134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jurse57346.2023.10144134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Joint Urban Remote Sensing Event (JURSE)","raw_type":"proceedings-article"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:169544","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/tree-species-mapping-in-the-brussels-capital-region-using-deep-learning-and-data-fusion(17805e28-a2db-4e3d-a3ef-df5e9ca93a19).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"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":"article"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:229369","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7400000095367432,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2056568601","https://openalex.org/W2135550335","https://openalex.org/W2194775991","https://openalex.org/W2748857187","https://openalex.org/W2771056443","https://openalex.org/W2980847487","https://openalex.org/W3028034508","https://openalex.org/W3047415197","https://openalex.org/W4213329165","https://openalex.org/W4213331133"],"related_works":["https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3214791684","https://openalex.org/W3152170969","https://openalex.org/W2139242969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2353265673"],"abstract_inverted_index":{"A":[0],"detailed":[1],"tree":[2,27],"inventory":[3],"is":[4],"necessary":[5],"to":[6,57,70,82,104],"accurately":[7],"estimate":[8],"the":[9,32,59,63,74,84,105,108,114,124,128],"ecosystem":[10],"contributions":[11],"of":[12,25,34,86,98,107,123],"urban":[13,26],"forests.":[14],"In":[15],"this":[16],"study,":[17],"we":[18],"evaluate":[19],"a":[20,48],"novel":[21],"method":[22,30],"for":[23],"mapping":[24],"species.":[28],"The":[29,90,100,120],"incorporates":[31],"fusion":[33,54,67,122],"(a)":[35],"LiDAR":[36,60,125],"data,":[37],"(b)":[38],"very-high":[39],"resolution":[40],"orthophotos":[41,64,101,129],"and":[42,127,134],"(c)":[43],"multi-temporal":[44,115],"PlanetScope":[45,75,116],"data":[46,61,117,126],"within":[47],"multi-modal":[49],"deep":[50],"learning":[51],"framework.":[52],"Early":[53],"was":[55,68,80],"used":[56,69],"combine":[58,71],"with":[62,73],"while":[65],"intermediate":[66],"both":[72],"data.":[76],"An":[77],"ablation":[78],"study":[79],"performed":[81],"assess":[83],"contribution":[85],"each":[87],"image":[88],"source.":[89],"proposed":[91],"workflow":[92],"reached":[93],"an":[94],"overall":[95],"accuracy":[96,106,139],"(OA)":[97],"90.7%.":[99],"contribute":[102],"most":[103],"model":[109,138],"(80.9%":[110],"OA)":[111],"followed":[112],"by":[113],"(68.2%":[118],"OA).":[119],"early":[121],"did":[130,135],"not":[131,136],"prove":[132],"effective":[133],"increase":[137],"any":[140],"further.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-09T07:52:08.696243","created_date":"2025-10-10T00:00:00"}