{"id":"https://openalex.org/W2126255529","doi":"https://doi.org/10.1109/whispers.2009.5289056","title":"The cost of time - implications of hyperspectral data volume and feature selection routines for conservation science","display_name":"The cost of time - implications of hyperspectral data volume and feature selection routines for conservation science","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2126255529","doi":"https://doi.org/10.1109/whispers.2009.5289056","mag":"2126255529"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2009.5289056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2009.5289056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","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/A5002668338","display_name":"Margaret Kal\u00e1cska","orcid":"https://orcid.org/0000-0002-1676-481X"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Kalacska","raw_affiliation_strings":["Department of Geography, McGill University, Montreal, QUE, Canada","Department of Geography, McGill University, Montreal QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, McGill University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Department of Geography, McGill University, Montreal QC, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025057535","display_name":"Pablo Arroyo","orcid":"https://orcid.org/0000-0002-1813-3907"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"P. Arroyo","raw_affiliation_strings":["Department of Geography, McGill University, Montreal, QUE, Canada","Department of Geography, McGill University, Montreal QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, McGill University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Department of Geography, McGill University, Montreal QC, Canada","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33719008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/T10895","display_name":"Species Distribution and Climate Change","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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":0.993399977684021,"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/T10005","display_name":"Ecology and Vegetation Dynamics Studies","score":0.9772999882698059,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9370905756950378},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6467034220695496},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5744273662567139},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5631881356239319},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.5616741180419922},{"id":"https://openalex.org/keywords/tropics","display_name":"Tropics","score":0.5609618425369263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5523253679275513},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.5495638847351074},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47662365436553955},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.47534820437431335},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4359995424747467},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4144183099269867},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.3699161410331726},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35717612504959106},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3421769142150879},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33232182264328003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32422059774398804},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.24491232633590698},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.21768909692764282},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19885516166687012}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9370905756950378},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6467034220695496},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5744273662567139},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5631881356239319},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5616741180419922},{"id":"https://openalex.org/C50660011","wikidata":"https://www.wikidata.org/wiki/Q42530","display_name":"Tropics","level":2,"score":0.5609618425369263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5523253679275513},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.5495638847351074},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47662365436553955},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.47534820437431335},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4359995424747467},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4144183099269867},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.3699161410331726},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35717612504959106},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3421769142150879},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33232182264328003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32422059774398804},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.24491232633590698},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.21768909692764282},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19885516166687012},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2009.5289056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2009.5289056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6100000143051147,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1975619751","https://openalex.org/W2037295424","https://openalex.org/W2138742646","https://openalex.org/W2151490783","https://openalex.org/W2731164016","https://openalex.org/W2978476546","https://openalex.org/W3148625633","https://openalex.org/W4239287083"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2027399350","https://openalex.org/W2060875994","https://openalex.org/W2044184146","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W4230131218"],"abstract_inverted_index":{"The":[0],"recent":[1],"greater":[2],"availability":[3],"of":[4,16,37,56,89,102,109,123,129,149],"airborne":[5,83,110],"hyperspectral":[6,111],"imagery":[7,112],"in":[8,21,39,59,70],"the":[9,14,34,54,60,74,78,87,100,103,107,127],"tropics":[10],"has":[11,42],"allowed":[12],"for":[13,97,138],"analysis":[15],"increasingly":[17],"complex":[18],"analytical":[19,124],"questions":[20],"ecology":[22],"such":[23,139],"as":[24],"remote":[25],"tree":[26],"species":[27,32,41,58],"identification.":[28],"In":[29],"comparison":[30],"to":[31],"identification":[33],"spectral":[35],"expression":[36],"gender":[38],"dioecious":[40,57],"been":[43],"generally":[44],"overlooked":[45],"despite":[46],"its":[47],"effects":[48],"on":[49,93,106,120],"plant":[50],"ecophysiological":[51],"functioning":[52],"and":[53,99,126],"prevalence":[55],"tropics.":[61],"A":[62],"problem":[63],"often":[64],"implied":[65],"but":[66],"not":[67],"frequently":[68],"addressed":[69],"these":[71],"analyses":[72],"is":[73,146],"complexity":[75],"posed":[76],"by":[77,82],"data":[79],"volume":[80,91],"collected":[81],"sensors.":[84],"We":[85,117],"examine":[86],"effect":[88],"this":[90],"specifically":[92],"feature":[94],"selection":[95],"routines":[96],"classification":[98],"implication":[101],"resultant":[104],"limitations":[105],"use":[108],"at":[113],"regional":[114],"operational":[115],"scales.":[116],"conclude":[118],"based":[119],"an":[121,135],"examination":[122],"time":[125],"cost":[128],"high":[130],"performance":[131],"computing":[132],"systems,":[133],"that":[134],"efficient":[136],"alternative":[137],"large":[140],"scale":[141],"academic":[142],"or":[143],"NGO":[144],"research":[145],"a":[147],"cluster":[148],"PlayStation\u21223s.":[150]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
