{"id":"https://openalex.org/W2040449350","doi":"https://doi.org/10.1109/igarss.2015.7327057","title":"Towards robust forest leaf area index assessment using an imaging spectroscopy simulation approach","display_name":"Towards robust forest leaf area index assessment using an imaging spectroscopy simulation approach","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2040449350","doi":"https://doi.org/10.1109/igarss.2015.7327057","mag":"2040449350"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7327057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7327057","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/A5100647652","display_name":"Wei Yao","orcid":"https://orcid.org/0000-0002-8645-2352"},"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":true,"raw_author_name":"Wei Yao","raw_affiliation_strings":["Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, NY, USA","Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester NY 14623, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester NY 14623, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023409713","display_name":"Martin van Leeuwen","orcid":"https://orcid.org/0000-0003-2572-2088"},"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":"Martin van Leeuwen","raw_affiliation_strings":["Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, NY, USA","Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester NY 14623, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester NY 14623, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007697774","display_name":"Paul Romanczyk","orcid":null},"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":"Paul Romanczyk","raw_affiliation_strings":["Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, NY, USA","Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester NY 14623, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester NY 14623, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113575746","display_name":"Dave Kelbe","orcid":null},"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":"Dave Kelbe","raw_affiliation_strings":["Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, NY, USA","Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester NY 14623, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester NY 14623, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074709577","display_name":"Scott Brown","orcid":"https://orcid.org/0000-0002-9060-6756"},"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":"Scott Brown","raw_affiliation_strings":["Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, NY, USA","Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester NY 14623, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester NY 14623, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040385195","display_name":"John P. Kerekes","orcid":"https://orcid.org/0000-0002-0754-8170"},"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":"John Kerekes","raw_affiliation_strings":["Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, NY, USA","Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester NY 14623, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester NY 14623, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","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, Chester F. Carlson Center for Imaging Science, Rochester, NY, USA","Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester NY 14623, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester NY 14623, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100647652"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.9141,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77565104,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5403","last_page":"5406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":1.0,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant 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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/imaging-spectrometer","display_name":"Imaging spectrometer","score":0.7646105289459229},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6814775466918945},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.6397738456726074},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5561910271644592},{"id":"https://openalex.org/keywords/imaging-spectroscopy","display_name":"Imaging spectroscopy","score":0.5510783195495605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5207090973854065},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5091840624809265},{"id":"https://openalex.org/keywords/spectrometer","display_name":"Spectrometer","score":0.49395662546157837},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.49085432291030884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2293146848678589},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.21268567442893982},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15015316009521484},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14329665899276733},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.1314294934272766},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09420105814933777},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09172001481056213}],"concepts":[{"id":"https://openalex.org/C183852935","wikidata":"https://www.wikidata.org/wiki/Q6002848","display_name":"Imaging spectrometer","level":3,"score":0.7646105289459229},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6814775466918945},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.6397738456726074},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5561910271644592},{"id":"https://openalex.org/C158479148","wikidata":"https://www.wikidata.org/wiki/Q609991","display_name":"Imaging spectroscopy","level":3,"score":0.5510783195495605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5207090973854065},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5091840624809265},{"id":"https://openalex.org/C33390570","wikidata":"https://www.wikidata.org/wiki/Q188463","display_name":"Spectrometer","level":2,"score":0.49395662546157837},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.49085432291030884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2293146848678589},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.21268567442893982},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15015316009521484},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14329665899276733},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.1314294934272766},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09420105814933777},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09172001481056213},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2015.7327057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7327057","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.75}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2037239062","https://openalex.org/W2038617433","https://openalex.org/W2043142216","https://openalex.org/W2151880387","https://openalex.org/W2314805648","https://openalex.org/W2329587643","https://openalex.org/W4233041824"],"related_works":["https://openalex.org/W2019335219","https://openalex.org/W1610874655","https://openalex.org/W3197418586","https://openalex.org/W3109000664","https://openalex.org/W3000675426","https://openalex.org/W2024273077","https://openalex.org/W3012554544","https://openalex.org/W2352862120","https://openalex.org/W3131259143","https://openalex.org/W2181767393"],"abstract_inverted_index":{"Few":[0],"studies":[1],"have":[2],"evaluated":[3],"how":[4,17],"per-pixel":[5],"structural":[6,33,66,80],"configurations":[7],"could":[8],"impact":[9,15,30],"spectral":[10],"response.":[11],"This":[12],"has":[13,83],"an":[14,25,142],"on":[16,35,133],"we":[18],"assess":[19],"especially":[20],"large":[21],"area/global":[22],"ecosystems.":[23],"In":[24],"effort":[26],"to":[27,118,140],"understand":[28],"this":[29],"of":[31,48,57,63,68,159,173],"sub-pixel":[32],"variation":[34],"large-footprint":[36],"imaging":[37,176],"spectroscopy,":[38],"a":[39,77],"simulation":[40,60],"approach":[41],"was":[42],"used,":[43],"which":[44,82],"provides":[45],"precise":[46],"knowledge":[47],"target":[49],"geometry":[50],"and":[51,94,115],"radiometry.":[52],"We":[53],"demonstrated":[54],"the":[55,58,171],"validity":[56],"proposed":[59],"in":[61],"terms":[62],"one":[64],"such":[65],"metric":[67],"interest,":[69],"namely":[70],"leaf":[71],"area":[72],"index":[73],"(LAI).":[74],"LAI":[75,98,147],"is":[76],"key":[78],"vegetation":[79],"parameter,":[81],"implications":[84],"for":[85,146,152],"predicting":[86],"ecosystems'":[87],"foliar":[88],"spatial":[89],"distribution,":[90],"health,":[91],"photosynthesis,":[92],"transpiration,":[93],"energy":[95],"transfer.":[96],"Simulated":[97],"measurements":[99,108],"were":[100,138],"validated":[101],"with":[102],"field":[103],"data":[104,120,137,148,154],"obtained":[105,121],"from":[106,122],"AccuPAR":[107],"(R":[109,126],"<sup":[110,127],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[111,128],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[112,129],"=":[113,130],"0.76)":[114],"by":[116],"comparison":[117],"NDVI":[119],"simulated":[123],"AVIRIS":[124],"imagery":[125],"0.92\u22120.65,":[131],"depending":[132],"sampling":[134,144],"interval).":[135],"These":[136,162],"used":[139],"propose":[141],"appropriate":[143],"protocol":[145],"collection,":[149,155],"thus":[150],"providing":[151],"efficient":[153],"while":[156],"minimizing":[157],"variability":[158],"individual":[160],"measurements.":[161],"efforts":[163],"will":[164],"support":[165],"preparatory":[166],"science":[167],"experiments":[168],"towards":[169],"understanding":[170],"phenomenology":[172],"NASA's":[174],"next-generation":[175],"spectrometer,":[177],"HyspIRI.":[178]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}