{"id":"https://openalex.org/W1970664916","doi":"https://doi.org/10.1109/jstars.2014.2298752","title":"Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters","display_name":"Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W1970664916","doi":"https://doi.org/10.1109/jstars.2014.2298752","mag":"1970664916"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2014.2298752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2298752","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/A5101999251","display_name":"Juan Pablo Rivera","orcid":"https://orcid.org/0000-0003-3188-1448"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Juan Pablo Rivera Caicedo","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de València, València, Spain","Image Process. Lab. (IPL), Univ. de Valencia, Vale\u0300ncia, Spain"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de València, València, Spain","institution_ids":[]},{"raw_affiliation_string":"Image Process. Lab. (IPL), Univ. de Valencia, Vale\u0300ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079448372","display_name":"Jochem Verrelst","orcid":"https://orcid.org/0000-0002-6313-2081"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jochem Verrelst","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de València, València, Spain","Image Process. Lab. (IPL), Univ. de Valencia, Vale\u0300ncia, Spain"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de València, València, Spain","institution_ids":[]},{"raw_affiliation_string":"Image Process. Lab. (IPL), Univ. de Valencia, Vale\u0300ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085480844","display_name":"Jordi Mu\u00f1oz-Mar\u0131\u0301","orcid":"https://orcid.org/0000-0002-3014-3921"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jordi Mu\u00f1oz-Mar\u00ed","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de València, València, Spain","Image Process. Lab. (IPL), Univ. de Valencia, Vale\u0300ncia, Spain"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de València, València, Spain","institution_ids":[]},{"raw_affiliation_string":"Image Process. Lab. (IPL), Univ. de Valencia, Vale\u0300ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003044369","display_name":"J. Moreno","orcid":"https://orcid.org/0000-0002-5283-3333"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Moreno","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de València, València, Spain","Image Process. Lab. (IPL), Univ. de Valencia, Vale\u0300ncia, Spain"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de València, València, Spain","institution_ids":[]},{"raw_affiliation_string":"Image Process. Lab. (IPL), Univ. de Valencia, Vale\u0300ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039052506","display_name":"Gustau Camps\u2010Valls","orcid":"https://orcid.org/0000-0003-1683-2138"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Gustavo Camps-Valls","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de València, València, Spain","Image Process. Lab. (IPL), Univ. de Valencia, Vale\u0300ncia, Spain"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de València, València, Spain","institution_ids":[]},{"raw_affiliation_string":"Image Process. Lab. (IPL), Univ. de Valencia, Vale\u0300ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101999251"],"corresponding_institution_ids":["https://openalex.org/I16097986"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":7.7507,"has_fulltext":false,"cited_by_count":152,"citation_normalized_percentile":{"value":0.97384068,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"7","issue":"4","first_page":"1249","last_page":"1259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9934999942779541,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6952325701713562},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6350902915000916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5739941596984863},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.4959312379360199},{"id":"https://openalex.org/keywords/ground-penetrating-radar","display_name":"Ground-penetrating radar","score":0.4591890871524811},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.42333465814590454},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.41376975178718567},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39434489607810974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3711673617362976},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.347448468208313},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.1294834315776825},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09220072627067566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6952325701713562},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6350902915000916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5739941596984863},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.4959312379360199},{"id":"https://openalex.org/C71813955","wikidata":"https://www.wikidata.org/wiki/Q503560","display_name":"Ground-penetrating radar","level":3,"score":0.4591890871524811},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42333465814590454},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.41376975178718567},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39434489607810974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3711673617362976},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.347448468208313},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.1294834315776825},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09220072627067566},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2014.2298752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2298752","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6299999952316284,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W59495185","https://openalex.org/W116253160","https://openalex.org/W196321102","https://openalex.org/W593789711","https://openalex.org/W1498265525","https://openalex.org/W1510073064","https://openalex.org/W1554944419","https://openalex.org/W1560724230","https://openalex.org/W1594031697","https://openalex.org/W1746819321","https://openalex.org/W1968235624","https://openalex.org/W1969568499","https://openalex.org/W1972539809","https://openalex.org/W1986812364","https://openalex.org/W1987607942","https://openalex.org/W1991276594","https://openalex.org/W1993659256","https://openalex.org/W2005034723","https://openalex.org/W2007342648","https://openalex.org/W2009517474","https://openalex.org/W2013061102","https://openalex.org/W2028294158","https://openalex.org/W2049205358","https://openalex.org/W2056435747","https://openalex.org/W2076404450","https://openalex.org/W2077336029","https://openalex.org/W2078356599","https://openalex.org/W2078840559","https://openalex.org/W2080441468","https://openalex.org/W2080968121","https://openalex.org/W2081887174","https://openalex.org/W2089468765","https://openalex.org/W2104606180","https://openalex.org/W2107131609","https://openalex.org/W2107905252","https://openalex.org/W2118162171","https://openalex.org/W2124776405","https://openalex.org/W2127632654","https://openalex.org/W2128734350","https://openalex.org/W2130670721","https://openalex.org/W2131126673","https://openalex.org/W2133751300","https://openalex.org/W2143789670","https://openalex.org/W2145539952","https://openalex.org/W2148694408","https://openalex.org/W2151659169","https://openalex.org/W2152164823","https://openalex.org/W2157582727","https://openalex.org/W2158863190","https://openalex.org/W2160434086","https://openalex.org/W2167556755","https://openalex.org/W2167881994","https://openalex.org/W2167894638","https://openalex.org/W2168180549","https://openalex.org/W2171033594","https://openalex.org/W2330820318","https://openalex.org/W2738843019","https://openalex.org/W3085162807","https://openalex.org/W3098421274","https://openalex.org/W3144619878","https://openalex.org/W4211049957","https://openalex.org/W4292023222","https://openalex.org/W4376463272","https://openalex.org/W6648375360","https://openalex.org/W6675436802","https://openalex.org/W6741572356"],"related_works":["https://openalex.org/W2612882618","https://openalex.org/W2138205097","https://openalex.org/W2776398399","https://openalex.org/W1552304540","https://openalex.org/W2032332878","https://openalex.org/W2046570986","https://openalex.org/W1595535338","https://openalex.org/W2540644541","https://openalex.org/W3169727911","https://openalex.org/W4313005088"],"abstract_inverted_index":{"Biophysical":[0],"parameters":[1,52],"such":[2],"as":[3],"leaf":[4,9],"chlorophyll":[5],"content":[6],"(LCC)":[7],"and":[8,78,81,98,128,149,157,169,175,182,192,218],"area":[10],"index":[11],"(LAI)":[12],"are":[13],"standard":[14],"vegetation":[15],"products":[16],"that":[17],"can":[18],"be":[19],"retrieved":[20],"from":[21,53],"Earth":[22],"observation":[23],"imagery.":[24],"This":[25],"paper":[26],"introduces":[27],"a":[28,57,76,83,207,211],"new":[29],"machine":[30],"learning":[31],"regression":[32,101,111,116,126,131,138,165],"algorithms":[33,166],"(MLRAs)":[34],"toolbox":[35,66],"into":[36],"the":[37,69,144,222,230,234],"scientific":[38],"Automated":[39],"Radiative":[40],"Transfer":[41],"Models":[42],"Operator":[43],"(ARTMO)":[44],"software":[45],"package.":[46],"ARTMO":[47],"facilitates":[48],"retrieval":[49],"of":[50,72,135,179,189,233],"biophysical":[51],"remote":[54],"observations":[55],"in":[56,75,103,177,229],"MATLAB":[58],"graphical":[59],"user":[60],"interface":[61],"(GUI)":[62],"environment.":[63],"The":[64,133],"MLRA":[65,85],"enables":[67],"analyzing":[68],"predictive":[70],"power":[71],"various":[73],"MLRAs":[74],"semiautomatic":[77],"systematic":[79],"manner,":[80],"applying":[82],"selected":[84],"to":[86,210,215,226],"multispectral":[87],"or":[88],"hyperspectral":[89,212],"imagery":[90],"for":[91],"mapping":[92],"applications.":[93],"It":[94],"contains":[95],"both":[96],"linear":[97,105,172],"nonlinear":[99,164],"state-of-the-art":[100],"algorithms,":[102],"particular":[104],"feature":[106],"extraction":[107],"via":[108],"principal":[109],"component":[110],"(PCR),":[112],"partial":[113],"least":[114],"squares":[115],"(PLSR),":[117],"decision":[118],"trees":[119],"(DTs),":[120],"neural":[121],"networks":[122],"(NNs),":[123],"kernel":[124],"ridge":[125],"(KRR),":[127],"Gaussian":[129],"processes":[130],"(GPR).":[132],"performance":[134,232],"multiple":[136],"implemented":[137],"strategies":[139],"has":[140],"been":[141],"evaluated":[142],"against":[143],"SPARC":[145],"dataset":[146],"(Barrax,":[147],"Spain)":[148],"simulated":[150],"Sentinel-2":[151],"(8":[152],"bands),":[153],"CHRIS":[154],"(62":[155],"bands)":[156,160],"HyMap":[158,213],"(125":[159],"observations.":[161],"In":[162],"general,":[163],"(NN,":[167],"KRR,":[168],"GPR)":[170],"outperformed":[171],"techniques":[173],"(PCR":[174],"PLSR)":[176],"terms":[178],"accuracy,":[180],"bias,":[181],"robustness.":[183],"Most":[184],"robust":[185],"results":[186],"along":[187],"gradients":[188],"training/validation":[190],"partitioning":[191],"noise":[193],"variance":[194],"were":[195],"obtained":[196],"by":[197],"KRR":[198],"while":[199],"GPR":[200,208],"delivered":[201],"most":[202],"accurate":[203],"estimations.":[204],"We":[205,220],"applied":[206],"model":[209],"flightline":[214],"map":[216],"LCC":[217],"LAI.":[219],"exploited":[221],"associated":[223],"uncertainty":[224],"intervals":[225],"gain":[227],"insight":[228],"per-pixel":[231],"model.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":4}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}