{"id":"https://openalex.org/W2167881994","doi":"https://doi.org/10.1109/tgrs.2011.2168962","title":"Retrieval of Vegetation Biophysical Parameters Using Gaussian Process Techniques","display_name":"Retrieval of Vegetation Biophysical Parameters Using Gaussian Process Techniques","publication_year":2011,"publication_date":"2011-11-07","ids":{"openalex":"https://openalex.org/W2167881994","doi":"https://doi.org/10.1109/tgrs.2011.2168962","mag":"2167881994"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2011.2168962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2011.2168962","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5079448372","display_name":"Jochem Verrelst","orcid":"https://orcid.org/0000-0002-6313-2081"},"institutions":[{"id":"https://openalex.org/I2801097182","display_name":"Parc Cient\u00edfic de la Universitat de Val\u00e8ncia","ror":"https://ror.org/04rb60x98","country_code":"ES","type":"education","lineage":["https://openalex.org/I2801097182"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. Verrelst","raw_affiliation_strings":["Image Processing Laboratory, Universitat de Val\u00e8ncia, Paterna, Valencia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory, Universitat de Val\u00e8ncia, Paterna, Valencia, Spain","institution_ids":["https://openalex.org/I2801097182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101940222","display_name":"Luis Alonso","orcid":"https://orcid.org/0000-0002-8221-5739"},"institutions":[{"id":"https://openalex.org/I2801097182","display_name":"Parc Cient\u00edfic de la Universitat de Val\u00e8ncia","ror":"https://ror.org/04rb60x98","country_code":"ES","type":"education","lineage":["https://openalex.org/I2801097182"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"L. Alonso","raw_affiliation_strings":["Image Processing Laboratory, Universitat de Val\u00e8ncia, Paterna, Valencia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory, Universitat de Val\u00e8ncia, Paterna, Valencia, Spain","institution_ids":["https://openalex.org/I2801097182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039052506","display_name":"Gustau Camps\u2010Valls","orcid":"https://orcid.org/0000-0003-1683-2138"},"institutions":[{"id":"https://openalex.org/I2801097182","display_name":"Parc Cient\u00edfic de la Universitat de Val\u00e8ncia","ror":"https://ror.org/04rb60x98","country_code":"ES","type":"education","lineage":["https://openalex.org/I2801097182"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"G. Camps-Valls","raw_affiliation_strings":["Image Processing Laboratory, Universitat de Val\u00e8ncia, Paterna, Valencia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory, Universitat de Val\u00e8ncia, Paterna, Valencia, Spain","institution_ids":["https://openalex.org/I2801097182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008075763","display_name":"Jes\u00fas Delegido","orcid":"https://orcid.org/0000-0002-2819-6979"},"institutions":[{"id":"https://openalex.org/I2801097182","display_name":"Parc Cient\u00edfic de la Universitat de Val\u00e8ncia","ror":"https://ror.org/04rb60x98","country_code":"ES","type":"education","lineage":["https://openalex.org/I2801097182"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. Delegido","raw_affiliation_strings":["Image Processing Laboratory, Universitat de Val\u00e8ncia, Paterna, Valencia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory, Universitat de Val\u00e8ncia, Paterna, Valencia, Spain","institution_ids":["https://openalex.org/I2801097182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003044369","display_name":"J. Moreno","orcid":"https://orcid.org/0000-0002-5283-3333"},"institutions":[{"id":"https://openalex.org/I2801097182","display_name":"Parc Cient\u00edfic de la Universitat de Val\u00e8ncia","ror":"https://ror.org/04rb60x98","country_code":"ES","type":"education","lineage":["https://openalex.org/I2801097182"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. Moreno","raw_affiliation_strings":["Image Processing Laboratory, Universitat de Val\u00e8ncia, Paterna, Valencia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory, Universitat de Val\u00e8ncia, Paterna, Valencia, Spain","institution_ids":["https://openalex.org/I2801097182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.4465,"has_fulltext":false,"cited_by_count":265,"citation_normalized_percentile":{"value":0.97402828,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"50","issue":"5","first_page":"1832","last_page":"1843"},"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":0.989300012588501,"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":0.9872000217437744,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7588968276977539},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.659771740436554},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.561400294303894},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4872507154941559},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.48032084107398987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46727311611175537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4656539559364319},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.440256804227829},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42216843366622925},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.41346514225006104},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.4122200310230255},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.40845489501953125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39672285318374634},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2687039375305176},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1423153579235077},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12510567903518677}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7588968276977539},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.659771740436554},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.561400294303894},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4872507154941559},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.48032084107398987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46727311611175537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4656539559364319},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.440256804227829},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42216843366622925},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.41346514225006104},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.4122200310230255},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.40845489501953125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39672285318374634},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2687039375305176},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1423153579235077},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12510567903518677},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2011.2168962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2011.2168962","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6700000166893005,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W50798440","https://openalex.org/W62843543","https://openalex.org/W116253160","https://openalex.org/W1498265525","https://openalex.org/W1567512734","https://openalex.org/W1648445109","https://openalex.org/W1746819321","https://openalex.org/W1971070487","https://openalex.org/W1972226951","https://openalex.org/W1974416151","https://openalex.org/W1976426738","https://openalex.org/W1978223575","https://openalex.org/W1985555755","https://openalex.org/W1988269748","https://openalex.org/W2000485836","https://openalex.org/W2002495580","https://openalex.org/W2008283621","https://openalex.org/W2011475440","https://openalex.org/W2012686349","https://openalex.org/W2025757188","https://openalex.org/W2025967407","https://openalex.org/W2030334626","https://openalex.org/W2036003376","https://openalex.org/W2045331152","https://openalex.org/W2056352756","https://openalex.org/W2063623478","https://openalex.org/W2071190035","https://openalex.org/W2073555669","https://openalex.org/W2078996926","https://openalex.org/W2089441588","https://openalex.org/W2091493105","https://openalex.org/W2095681882","https://openalex.org/W2098320370","https://openalex.org/W2099505124","https://openalex.org/W2111947859","https://openalex.org/W2112590417","https://openalex.org/W2118162171","https://openalex.org/W2118791227","https://openalex.org/W2122400352","https://openalex.org/W2123305851","https://openalex.org/W2123909695","https://openalex.org/W2128199995","https://openalex.org/W2128438912","https://openalex.org/W2129483042","https://openalex.org/W2132147719","https://openalex.org/W2133125644","https://openalex.org/W2133506218","https://openalex.org/W2139211176","https://openalex.org/W2145539952","https://openalex.org/W2145669224","https://openalex.org/W2146060412","https://openalex.org/W2151431491","https://openalex.org/W2151659169","https://openalex.org/W2156418736","https://openalex.org/W2157760685","https://openalex.org/W2158755893","https://openalex.org/W2161815745","https://openalex.org/W2163410149","https://openalex.org/W2168180549","https://openalex.org/W2248139498","https://openalex.org/W2738843019","https://openalex.org/W2989638784","https://openalex.org/W3183975070","https://openalex.org/W3213429084","https://openalex.org/W4211049957","https://openalex.org/W4249940406","https://openalex.org/W4285719527","https://openalex.org/W4319289039","https://openalex.org/W6602054286","https://openalex.org/W6741572356","https://openalex.org/W6770044811"],"related_works":["https://openalex.org/W1978077614","https://openalex.org/W1982418987","https://openalex.org/W2603494857","https://openalex.org/W2024377932","https://openalex.org/W2799746630","https://openalex.org/W4390582117","https://openalex.org/W2040117879","https://openalex.org/W2889956472","https://openalex.org/W4327563507","https://openalex.org/W4310079726"],"abstract_inverted_index":{"This":[0],"paper":[1],"evaluates":[2],"state-of-the-art":[3],"parametric":[4,31],"and":[5,24,37,43,96,144,164,211,222,244],"nonparametric":[6,87],"approaches":[7],"for":[8,128,133,254],"the":[9,44,53,86,124,134,140,149,177,186,190,200,209,220,226,229,240],"estimation":[10],"of":[11,35,99,111,123,148,199,225,242],"leaf":[12,21],"chlorophyll":[13],"content":[14],"<formula":[15,59],"formulatype=\"inline\"":[16,60],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[17,61],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex":[18,62],"Notation=\"TeX\">$(Chl)$</tex></formula>":[19],",":[20],"area":[22],"index,":[23],"fractional":[25],"vegetation":[26,40,191],"cover":[27],"from":[28,168],"space.":[29,117],"The":[30],"approach":[32,88,253],"involves":[33],"comparison":[34],"established":[36],"generic":[38],"narrowband":[39],"indices":[41],"(VIs)":[42],"Normalized":[45],"Area":[46],"Over":[47],"reflectance":[48],"Curve":[49],"method,":[50],"which":[51],"calculates":[52],"continuum":[54],"spectral":[55,75],"region":[56],"sensitive":[57],"to":[58,114,155,215,235],"Notation=\"TeX\">$Chl$</tex></formula>":[63],".":[64],"However,":[65],"as":[66,107,257],"not":[67],"all":[68,100],"available":[69],"bands":[70,127,207],"take":[71],"part":[72],"in":[73,139,158,188,208,219],"these":[74],"algorithms,":[76],"it":[77,249],"remains":[78],"unclear":[79],"whether":[80],"optimal":[81],"estimations":[82],"are":[83],"achieved.":[84],"Alternatively,":[85],"is":[89,233,250],"based":[90],"on":[91],"Gaussian":[92],"process":[93],"(GP)":[94],"techniques":[95],"allows":[97],"inclusion":[98],"bands.":[101,202],"GP":[102,119,151,184,203,231],"builds":[103],"a":[104,108,115,131,145,216,246,251],"nonlinear":[105],"regression":[106,163],"linear":[109],"combination":[110],"spectra":[112,137],"mapped":[113],"high-dimensional":[116],"Moreover,":[118],"provides":[120],"an":[121],"indication":[122],"most":[125,135,205],"contributing":[126,206],"each":[129],"parameter,":[130],"weight":[132],"relevant":[136],"contained":[138],"training":[141],"data":[142,175,256],"set,":[143],"confidence":[146],"estimate":[147],"retrieval.":[150],"has":[152],"previously":[153],"demonstrated":[154],"be":[156],"competitive":[157],"accuracy":[159],"with":[160],"support":[161],"vector":[162],"neural":[165],"networks.":[166],"Results":[167],"hyperspectral":[169],"Compact":[170],"High":[171],"Resolution":[172],"Imaging":[173],"Spectrometer":[174],"over":[176],"Spanish":[178],"Barrax":[179],"test":[180],"site":[181],"show":[182],"that":[183],"outperformed":[185],"VIs":[187],"assessing":[189],"properties":[192],"when":[193],"using":[194],"at":[195],"least":[196],"four":[197],"out":[198],"62":[201],"identified":[204],"red":[210,212],"edge":[213],"and,":[214],"lower":[217],"extent,":[218],"blue":[221],"NIR":[223],"parts":[224],"spectrum.":[227],"Since":[228],"proposed":[230],"method":[232],"able":[234],"build":[236],"robust":[237],"relationships":[238],"between":[239],"parameter":[241],"interest":[243],"only":[245],"few":[247],"bands,":[248],"promising":[252],"multispectral":[255],"well.":[258]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":30},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":18},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}
