{"id":"https://openalex.org/W2142875936","doi":"https://doi.org/10.1109/jstars.2009.2014008","title":"Generation of a Species-Specific Look-Up Table for Fuel Moisture Content Assessment","display_name":"Generation of a Species-Specific Look-Up Table for Fuel Moisture Content Assessment","publication_year":2009,"publication_date":"2009-02-20","ids":{"openalex":"https://openalex.org/W2142875936","doi":"https://doi.org/10.1109/jstars.2009.2014008","mag":"2142875936"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2009.2014008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2009.2014008","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5006051321","display_name":"Marta Yebra","orcid":"https://orcid.org/0000-0002-4049-9315"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Marta Yebra","raw_affiliation_strings":["Department of Geography, University of Alcal\u00e1, Madrid, Spain","Dept. of Geogr., Univ. of Alcala, Madrid"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Alcal\u00e1, Madrid, Spain","institution_ids":["https://openalex.org/I189268942"]},{"raw_affiliation_string":"Dept. of Geogr., Univ. of Alcala, Madrid","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091485000","display_name":"Emilio Chuvieco","orcid":"https://orcid.org/0000-0001-5618-4759"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Emilio Chuvieco","raw_affiliation_strings":["Department of Geography, University of Alcal\u00e1, Madrid, Spain","Dept. of Geogr., Univ. of Alcala, Madrid"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Alcal\u00e1, Madrid, Spain","institution_ids":["https://openalex.org/I189268942"]},{"raw_affiliation_string":"Dept. of Geogr., Univ. of Alcala, Madrid","institution_ids":["https://openalex.org/I189268942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189268942"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":null,"fwci":0.5939,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.72860242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":"1","first_page":"21","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9994999766349792,"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":0.9994999766349792,"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/T10895","display_name":"Species Distribution and Climate Change","score":0.9965000152587891,"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/T10555","display_name":"Fire effects on ecosystems","score":0.992900013923645,"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/table","display_name":"Table (database)","score":0.555489182472229},{"id":"https://openalex.org/keywords/lookup-table","display_name":"Lookup table","score":0.5287719964981079},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44793474674224854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34649360179901123},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15703216195106506}],"concepts":[{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.555489182472229},{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.5287719964981079},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44793474674224854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34649360179901123},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15703216195106506},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2009.2014008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2009.2014008","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/17838","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/17838","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"Journal article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W111504307","https://openalex.org/W1228197641","https://openalex.org/W1509735053","https://openalex.org/W1958900576","https://openalex.org/W1969548928","https://openalex.org/W1978160572","https://openalex.org/W1981488747","https://openalex.org/W2021131407","https://openalex.org/W2022900594","https://openalex.org/W2034520829","https://openalex.org/W2037117298","https://openalex.org/W2049398443","https://openalex.org/W2061744371","https://openalex.org/W2066612219","https://openalex.org/W2078329168","https://openalex.org/W2084297564","https://openalex.org/W2110126770","https://openalex.org/W2116743998","https://openalex.org/W2119014492","https://openalex.org/W2121403963","https://openalex.org/W2150764041","https://openalex.org/W2163410149","https://openalex.org/W2164478730","https://openalex.org/W2166312616","https://openalex.org/W2171063647"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2990962948","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2317200988","https://openalex.org/W2376932109","https://openalex.org/W1822998120"],"abstract_inverted_index":{"This":[0,69],"study":[1,141],"involved":[2],"the":[3,12,35,50,66,74,77,92,104,120,123,139,152,160,165,177,185,196,205,210,219,222,231],"generation":[4],"of":[5,14,116,122,212,221,233,242],"a":[6,169,235,239],"species-specific":[7,186,197],"Look-Up":[8],"Table":[9],"(LUT)":[10],"for":[11,76,103,109,119],"retrieval":[13,130],"Fuel":[15],"Moisture":[16],"Content":[17],"(FMC)":[18],"in":[19,28,49,91,99,176],"natural":[20],"areas":[21],"dominated":[22,59],"byQuercusilex(Holm":[23],"oak).":[24],"Parameter":[25],"combinations":[26],"observed":[27,86],"dryingQ.ilexsamples":[29],"were":[30,61,97],"used":[31,62,175],"as":[32,164],"inputs":[33],"into":[34],"linked":[36],"PROSPECT":[37],"and":[38,87,158,251],"SAILH":[39],"Radiative":[40],"Transfer":[41],"Models":[42],"(RTM)":[43],"to":[44,63,101,180,238],"avoid":[45],"unrealistic":[46],"simulated":[47,88],"spectra":[48],"LUT.":[51,93,207],"Terra/MODIS":[52],"reflectance":[53,89],"data,":[54],"extracted":[55,247],"over":[56],"five":[57,140],"plots":[58],"byQ.ilex,":[60],"carry":[64],"out":[65],"LUT":[67,171,187,198,224,236],"inversion.":[68],"inversion":[70,95],"was":[71,126,132,148,174,214,218],"based":[72,244],"on":[73,230,245],"search":[75,102],"minimum":[78,114],"relative":[79],"root":[80],"mean":[81],"square":[82],"error":[83],"(RMSErho*)":[84],"between":[85],"found":[90],"Different":[94],"options":[96],"tested":[98],"order":[100],"optimal":[105],"spectral":[106],"sampling":[107],"necessary":[108],"accurately":[110],"estimating":[111],"FMC.":[112],"The":[113,129,143,192],"number":[115,211],"solutions":[117,213],"required":[118],"calculation":[121],"estimated":[124],"FMC":[125,135,146,189,202],"also":[127],"investigated.":[128],"performance":[131],"evaluated":[133],"with":[134],"values":[136],"measured":[137],"at":[138],"plots.":[142],"most":[144],"accurate":[145,201],"estimation":[147],"obtained":[149],"when":[150,209],"using":[151],"normalized":[153],"difference":[154],"infrared":[155],"index":[156],"(NDII6)":[157],"selecting":[159],"ten":[161],"best":[162],"cases":[163],"solution":[166],"(RMSE=26.28%).":[167],"Finally,":[168],"non-oak-specific":[170],"(generic":[172],"LUT)":[173],"same":[178],"way":[179],"evaluate":[181],"whether":[182],"or":[183],"not":[184],"retrieved":[188],"more":[190,200],"accurately.":[191],"results":[193],"showed":[194],"that":[195],"provided":[199],"estimations":[203],"than":[204,216],"generic":[206],"Only":[208],"higher":[215],"35":[217],"accuracy":[220],"two":[223],"similar.":[225],"Future":[226],"work":[227],"will":[228],"focus":[229],"possibility":[232],"generating":[234],"adapted":[237],"wider":[240],"range":[241],"species":[243],"data":[246],"from":[248],"field":[249],"measurements":[250],"literature.":[252]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}