{"id":"https://openalex.org/W4387803664","doi":"https://doi.org/10.1109/igarss52108.2023.10283032","title":"Integrating Airborne and Terrestrial Laser Scanning for Complete 3D Model Generation in Dense Forest","display_name":"Integrating Airborne and Terrestrial Laser Scanning for Complete 3D Model Generation in Dense Forest","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387803664","doi":"https://doi.org/10.1109/igarss52108.2023.10283032"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10283032","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10283032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","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/A5035061474","display_name":"Sunni Kanta Prasad Kushwaha","orcid":"https://orcid.org/0000-0002-3090-3337"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sunni Kanta Prasad Kushwaha","raw_affiliation_strings":["Indian Institute of Technology Roorkee,Geomatics Group,Department of Civil Engineering,Roorkee,Uttarakhand,India,247667"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Roorkee,Geomatics Group,Department of Civil Engineering,Roorkee,Uttarakhand,India,247667","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016774819","display_name":"Arunima Singh","orcid":"https://orcid.org/0000-0002-7311-6130"},"institutions":[{"id":"https://openalex.org/I205984670","display_name":"Czech University of Life Sciences Prague","ror":"https://ror.org/0415vcw02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I205984670"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Arunima Singh","raw_affiliation_strings":["Czech University of Life Sciences,Faculty of Forestry and Wood Sciences,Prague,Czech Republic,16500"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Czech University of Life Sciences,Faculty of Forestry and Wood Sciences,Prague,Czech Republic,16500","institution_ids":["https://openalex.org/I205984670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041706388","display_name":"Kamal Jain","orcid":"https://orcid.org/0000-0001-5153-0405"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kamal Jain","raw_affiliation_strings":["Indian Institute of Technology Roorkee,Geomatics Group,Department of Civil Engineering,Roorkee,Uttarakhand,India,247667"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Roorkee,Geomatics Group,Department of Civil Engineering,Roorkee,Uttarakhand,India,247667","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067118494","display_name":"Carlos \u00c7abo","orcid":"https://orcid.org/0000-0002-0387-9052"},"institutions":[{"id":"https://openalex.org/I165339363","display_name":"Universidad de Oviedo","ror":"https://ror.org/006gksa02","country_code":"ES","type":"education","lineage":["https://openalex.org/I165339363"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Carlos Cabo","raw_affiliation_strings":["University of Oviedo, Campus de Mieres,Department of Mining Exploitation,Spain,33600"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oviedo, Campus de Mieres,Department of Mining Exploitation,Spain,33600","institution_ids":["https://openalex.org/I165339363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084010997","display_name":"Martin Mokro\u0161","orcid":"https://orcid.org/0000-0002-8559-5757"},"institutions":[{"id":"https://openalex.org/I205984670","display_name":"Czech University of Life Sciences Prague","ror":"https://ror.org/0415vcw02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I205984670"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Martin Mokros","raw_affiliation_strings":["Czech University of Life Sciences,Faculty of Forestry and Wood Sciences,Prague,Czech Republic,16500"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Czech University of Life Sciences,Faculty of Forestry and Wood Sciences,Prague,Czech Republic,16500","institution_ids":["https://openalex.org/I205984670"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3137","last_page":"3140"},"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":0.9991000294685364,"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":0.9980999827384949,"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":0.9577504396438599},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8829898834228516},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.8368576765060425},{"id":"https://openalex.org/keywords/laser-scanning","display_name":"Laser scanning","score":0.7249560356140137},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.5685997009277344},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5368744730949402},{"id":"https://openalex.org/keywords/tree-canopy","display_name":"Tree canopy","score":0.5062074065208435},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5013856887817383},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.49832773208618164},{"id":"https://openalex.org/keywords/forest-inventory","display_name":"Forest inventory","score":0.4397708475589752},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.436867892742157},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.39322322607040405},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.3504893481731415},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.24854329228401184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16150572896003723},{"id":"https://openalex.org/keywords/forest-management","display_name":"Forest management","score":0.1287766695022583},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12005099654197693},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10565268993377686},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09977009892463684},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08514603972434998},{"id":"https://openalex.org/keywords/agroforestry","display_name":"Agroforestry","score":0.07942339777946472}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.9577504396438599},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8829898834228516},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.8368576765060425},{"id":"https://openalex.org/C141349535","wikidata":"https://www.wikidata.org/wiki/Q1361664","display_name":"Laser scanning","level":3,"score":0.7249560356140137},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.5685997009277344},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5368744730949402},{"id":"https://openalex.org/C39807119","wikidata":"https://www.wikidata.org/wiki/Q1134228","display_name":"Tree canopy","level":3,"score":0.5062074065208435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5013856887817383},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.49832773208618164},{"id":"https://openalex.org/C147103442","wikidata":"https://www.wikidata.org/wiki/Q1423188","display_name":"Forest inventory","level":3,"score":0.4397708475589752},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.436867892742157},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.39322322607040405},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.3504893481731415},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.24854329228401184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16150572896003723},{"id":"https://openalex.org/C28631016","wikidata":"https://www.wikidata.org/wiki/Q372561","display_name":"Forest management","level":2,"score":0.1287766695022583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12005099654197693},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10565268993377686},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09977009892463684},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08514603972434998},{"id":"https://openalex.org/C54286561","wikidata":"https://www.wikidata.org/wiki/Q397350","display_name":"Agroforestry","level":1,"score":0.07942339777946472},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10283032","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10283032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1965722011","https://openalex.org/W2280788228","https://openalex.org/W2609825692","https://openalex.org/W2885427657","https://openalex.org/W2937171039","https://openalex.org/W3026073104","https://openalex.org/W4200356845","https://openalex.org/W4283076408","https://openalex.org/W4283816339","https://openalex.org/W4306294663","https://openalex.org/W4313515834","https://openalex.org/W6838604270"],"related_works":["https://openalex.org/W2088131065","https://openalex.org/W2005998065","https://openalex.org/W2001220299","https://openalex.org/W4323518558","https://openalex.org/W3196715007","https://openalex.org/W2366440988","https://openalex.org/W4399030596","https://openalex.org/W2358582870","https://openalex.org/W4293059742","https://openalex.org/W2082802685"],"abstract_inverted_index":{"Light":[0],"Detection":[1],"And":[2],"Ranging":[3],"(LiDAR)":[4],"remote":[5],"sensing":[6],"technology":[7],"efficiently":[8],"produces":[9],"accurate":[10,90],"3D":[11,91],"geometry":[12],"of":[13,20,46,57,67,93,144,159,186],"the":[14,18,39,65,94,187,194],"forest":[15,50,95,170],"structure":[16],"in":[17,155,179,193],"form":[19],"point":[21,108,119],"cloud":[22,109,120],"data.":[23,110],"Individual":[24],"tree":[25,48],"parameters":[26,171],"can":[27,36,162],"be":[28,163],"measured":[29,102],"more":[30,124],"effectively":[31],"using":[32],"LiDAR":[33,35,131,147,151],"technology.":[34],"penetrate":[37],"through":[38],"dense":[40],"canopies":[41],"and":[42,52,73,84,89,99,106,116,148,168,175],"produce":[43],"adequate":[44],"information":[45,160],"each":[47,81,138],"for":[49,80,165],"inventory":[51],"mensuration.":[53],"The":[54,173],"main":[55],"objective":[56],"this":[58,180],"case":[59,181],"study":[60,182],"is":[61,112],"to":[62,78,85,129,137],"bring":[63],"out":[64],"potential":[66,154],"integrating":[68],"(Terrestrial":[69],"Laser":[70,75],"Scanner)":[71,76],"TLS":[72,115,176],"(Airborne":[74],"ALS":[77,117,174],"compensate":[79],"other":[82,169],"limitations":[83],"generate":[86],"a":[87,184],"complete":[88],"model":[92],"structures.":[96],"Tree":[97],"height":[98],"DBH":[100],"were":[101],"from":[103],"TLS,":[104],"ALS,":[105],"Integrated":[107],"It":[111],"observed":[113],"that":[114,142],"integrated":[118],"data":[121],"have":[122],"shown":[123],"promising":[125],"results":[126],"when":[127],"compared":[128],"individual":[130],"technologies.":[132],"Both":[133],"technologies":[134],"are":[135,183],"complementary":[136],"other.":[139],"We":[140],"found":[141],"integration":[143],"ground":[145],"perspective":[146],"above":[149],"canopy":[150],"has":[152],"excellent":[153],"producing":[156],"plot-level":[157],"completeness":[158],"which":[161],"used":[164,178],"AGB":[166],"calculations":[167],"extraction.":[172],"datasets":[177],"part":[185],"SilviLaser":[188],"2021":[189],"Benchmark":[190],"Dataset":[191],"acquired":[192],"Lower":[195],"Austria":[196],"region.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}