{"id":"https://openalex.org/W2989246589","doi":"https://doi.org/10.1109/igarss.2019.8900382","title":"Simulating Spectral Images with Less Model Through a Voxel-Based Parameterization of Airborne Lidar Data","display_name":"Simulating Spectral Images with Less Model Through a Voxel-Based Parameterization of Airborne Lidar Data","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2989246589","doi":"https://doi.org/10.1109/igarss.2019.8900382","mag":"2989246589"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8900382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8900382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","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/A5069389278","display_name":"Jianbo Qi","orcid":"https://orcid.org/0000-0001-6601-7882"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianbo Qi","raw_affiliation_strings":["Faculty of Geographical Science, Beijing Normal University, China","Beijing Forestry University (China)"],"affiliations":[{"raw_affiliation_string":"Faculty of Geographical Science, Beijing Normal University, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Beijing Forestry University (China)","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069103302","display_name":"Donghui Xie","orcid":"https://orcid.org/0000-0003-3923-6056"},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghui Xie","raw_affiliation_strings":["Faculty of Geographical Science, Beijing Normal University, China","State Key Laboratory of Remote Sensing Science (Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China - China)"],"affiliations":[{"raw_affiliation_string":"Faculty of Geographical Science, Beijing Normal University, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science (Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China - China)","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107597668","display_name":"Guangjian Yan","orcid":"https://orcid.org/0000-0001-5030-748X"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangjian Yan","raw_affiliation_strings":["Faculty of Geographical Science, Beijing Normal University, China","BNU - Beijing Normal University (No. 19, XinJieKouWai St., HaiDian District,\r\nBeijing 100875, P. R. China - China)"],"affiliations":[{"raw_affiliation_string":"Faculty of Geographical Science, Beijing Normal University, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"BNU - Beijing Normal University (No. 19, XinJieKouWai St., HaiDian District,\r\nBeijing 100875, P. R. China - China)","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078740130","display_name":"Jean\u2010Philippe Gastellu\u2010Etchegorry","orcid":"https://orcid.org/0000-0002-6645-8837"},"institutions":[{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555","https://openalex.org/I4405258862"]},{"id":"https://openalex.org/I4210100083","display_name":"Centre d'\u00c9tudes Spatiales de la Biosph\u00e8re","ror":"https://ror.org/01225hq90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I2799535048","https://openalex.org/I2802818602","https://openalex.org/I4210088668","https://openalex.org/I4210090127","https://openalex.org/I4210100083","https://openalex.org/I4210131494","https://openalex.org/I4210148025","https://openalex.org/I4210166444","https://openalex.org/I4405258862"]},{"id":"https://openalex.org/I4210166444","display_name":"Institut de Recherche pour le D\u00e9veloppement","ror":"https://ror.org/05q3vnk25","country_code":"FR","type":"government","lineage":["https://openalex.org/I2802818602","https://openalex.org/I4210090127","https://openalex.org/I4210131494","https://openalex.org/I4210166444"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Philippe Gastellu-Etchegorry","raw_affiliation_strings":["CESBIO, Toulouse University (CNRS, CNES, IRD, Paul Sabatier University), France","CESBIO - Centre d'\u00e9tudes spatiales de la biosph\u00e8re (bpi 2801 18 Av Edouard Belin 31401 TOULOUSE CEDEX 4 - France)"],"affiliations":[{"raw_affiliation_string":"CESBIO, Toulouse University (CNRS, CNES, IRD, Paul Sabatier University), France","institution_ids":["https://openalex.org/I134560555","https://openalex.org/I4210100083","https://openalex.org/I4210166444","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"CESBIO - Centre d'\u00e9tudes spatiales de la biosph\u00e8re (bpi 2801 18 Av Edouard Belin 31401 TOULOUSE CEDEX 4 - France)","institution_ids":["https://openalex.org/I4210100083"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069389278"],"corresponding_institution_ids":["https://openalex.org/I25254941","https://openalex.org/I31683504"],"apc_list":null,"apc_paid":null,"fwci":0.1118,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48074522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"113","issue":null,"first_page":"6043","last_page":"6046"},"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":0.9998000264167786,"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.995199978351593,"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/remote-sensing","display_name":"Remote sensing","score":0.8023020029067993},{"id":"https://openalex.org/keywords/radiative-transfer","display_name":"Radiative transfer","score":0.7774031758308411},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7328041791915894},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6960251331329346},{"id":"https://openalex.org/keywords/atmospheric-radiative-transfer-codes","display_name":"Atmospheric radiative transfer codes","score":0.6238549947738647},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.59088134765625},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5698680877685547},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.565143346786499},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5138862133026123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43952181935310364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23454752564430237},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2154799997806549},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1854785978794098},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1437530219554901},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11809653043746948},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1133362352848053},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08329352736473083}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.8023020029067993},{"id":"https://openalex.org/C74902906","wikidata":"https://www.wikidata.org/wiki/Q1190858","display_name":"Radiative transfer","level":2,"score":0.7774031758308411},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7328041791915894},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6960251331329346},{"id":"https://openalex.org/C199390426","wikidata":"https://www.wikidata.org/wiki/Q2353151","display_name":"Atmospheric radiative transfer codes","level":3,"score":0.6238549947738647},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.59088134765625},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5698680877685547},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.565143346786499},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5138862133026123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43952181935310364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23454752564430237},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2154799997806549},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1854785978794098},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1437530219554901},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11809653043746948},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1133362352848053},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08329352736473083}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/igarss.2019.8900382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8900382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04643719v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04643719","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:HAL:hal-04644173v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04644173","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. pp.6043-6046, ⟨10.1109/IGARSS.2019.8900382⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1981590796","https://openalex.org/W1982340998","https://openalex.org/W1987610258","https://openalex.org/W2011525053","https://openalex.org/W2014383059","https://openalex.org/W2039393019","https://openalex.org/W2043391293","https://openalex.org/W2071885758","https://openalex.org/W2074457539","https://openalex.org/W2133353144","https://openalex.org/W2142602873","https://openalex.org/W2337260502","https://openalex.org/W2383860596","https://openalex.org/W2436494909","https://openalex.org/W2762880890","https://openalex.org/W2790871130","https://openalex.org/W2800270119","https://openalex.org/W2891044352","https://openalex.org/W2905511257"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2072166414","https://openalex.org/W2956374172","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W2378776128"],"abstract_inverted_index":{"3D":[0,127],"radiative":[1,41,128],"transfer":[2,42,129],"modeling":[3],"in":[4,24],"forest":[5,117],"canopies":[6],"is":[7,21,36],"of":[8,31,64,116],"great":[9],"importance":[10],"to":[11,16,28,37],"upscale":[12],"leaf":[13],"level":[14],"observations":[15],"canopy":[17],"level,":[18],"which,":[19],"however,":[20],"particularly":[22],"difficult":[23],"heterogeneous":[25],"areas":[26],"due":[27],"the":[29,49,105,113],"complexity":[30],"forests.":[32],"A":[33],"common":[34],"solution":[35],"use":[38],"physically":[39],"based":[40],"models.":[43,130],"In":[44],"this":[45],"paper,":[46],"we":[47],"parameterized":[48],"LESS":[50],"(LargE-Scale":[51],"remote":[52],"sensing":[53],"data":[54,124],"and":[55,76,93,98,119],"image":[56,73],"Simulation":[57],"framework)":[58],"model":[59],"through":[60],"a":[61,86],"voxel-based":[62,107],"reconstruction":[63],"airborne":[65,71],"LiDAR":[66],"data.":[67],"For":[68],"that,":[69],"an":[70],"spectral":[72],"was":[74],"simulated":[75],"compared":[77],"with":[78,89],"actual":[79],"ASIA":[80],"hyperspectral":[81],"image.":[82],"The":[83],"results":[84],"show":[85],"good":[87],"agreement":[88],"R-squared":[90],"being":[91],"0.5":[92],"0.56":[94],"for":[95,126],"near":[96],"infrared":[97],"red":[99],"band,":[100],"respectively.":[101],"This":[102],"demonstrates":[103],"that":[104],"proposed":[106],"parameterization":[108],"approach":[109],"can":[110,121],"successfully":[111],"capture":[112],"fine-scale":[114],"structures":[115],"canopies,":[118],"it":[120],"provide":[122],"reliable":[123],"source":[125]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}