{"id":"https://openalex.org/W2031309950","doi":"https://doi.org/10.1109/whispers.2011.6080916","title":"Using hyperspectral remote sensing data for retrieving total canopy chlorophyll and nitrogen content","display_name":"Using hyperspectral remote sensing data for retrieving total canopy chlorophyll and nitrogen content","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2031309950","doi":"https://doi.org/10.1109/whispers.2011.6080916","mag":"2031309950"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2011.6080916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2011.6080916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.wur.nl/en/publications/using-hyperspectral-remote-sensing-data-for-retrieving-total-cano","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001842171","display_name":"J.G.P.W. Clevers","orcid":"https://orcid.org/0000-0002-0046-082X"},"institutions":[{"id":"https://openalex.org/I913481162","display_name":"Wageningen University & Research","ror":"https://ror.org/04qw24q55","country_code":"NL","type":"education","lineage":["https://openalex.org/I913481162"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"J. G. P. W. Clevers","raw_affiliation_strings":["Centre of Geo-Information, Wageningen University, Wageningen, Netherlands","Centre for Geo-Information, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Geo-Information, Wageningen University, Wageningen, Netherlands","institution_ids":["https://openalex.org/I913481162"]},{"raw_affiliation_string":"Centre for Geo-Information, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands","institution_ids":["https://openalex.org/I913481162"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064235711","display_name":"Lammert Kooistra","orcid":"https://orcid.org/0000-0001-5549-5993"},"institutions":[{"id":"https://openalex.org/I913481162","display_name":"Wageningen University & Research","ror":"https://ror.org/04qw24q55","country_code":"NL","type":"education","lineage":["https://openalex.org/I913481162"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"L. Kooistra","raw_affiliation_strings":["Centre of Geo-Information, Wageningen University, Wageningen, Netherlands","Centre for Geo-Information, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Geo-Information, Wageningen University, Wageningen, Netherlands","institution_ids":["https://openalex.org/I913481162"]},{"raw_affiliation_string":"Centre for Geo-Information, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands","institution_ids":["https://openalex.org/I913481162"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2406,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.79952369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9937000274658203,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9902999997138977,"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/remote-sensing","display_name":"Remote sensing","score":0.5852282643318176},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.5782739520072937},{"id":"https://openalex.org/keywords/chlorophyll","display_name":"Chlorophyll","score":0.5370216965675354},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5047351121902466},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42071837186813354},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.33220356702804565},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.2196284830570221},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11261266469955444},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08083635568618774}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5852282643318176},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.5782739520072937},{"id":"https://openalex.org/C2776373379","wikidata":"https://www.wikidata.org/wiki/Q43177","display_name":"Chlorophyll","level":2,"score":0.5370216965675354},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5047351121902466},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42071837186813354},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.33220356702804565},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.2196284830570221},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11261266469955444},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08083635568618774}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/whispers.2011.6080916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2011.6080916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},{"id":"pmh:oai:library.wur.nl:wurpubs/429132","is_oa":true,"landing_page_url":"https://research.wur.nl/en/publications/using-hyperspectral-remote-sensing-data-for-retrieving-total-cano","pdf_url":null,"source":{"id":"https://openalex.org/S4210201231","display_name":"Socio-Environmental Systems Modeling","issn_l":"2663-3027","issn":["2663-3027"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Proceedings 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing. Lisbon, Portugal, 6-9 June, 2011","raw_type":"Article in monograph or in proceedings"}],"best_oa_location":{"id":"pmh:oai:library.wur.nl:wurpubs/429132","is_oa":true,"landing_page_url":"https://research.wur.nl/en/publications/using-hyperspectral-remote-sensing-data-for-retrieving-total-cano","pdf_url":null,"source":{"id":"https://openalex.org/S4210201231","display_name":"Socio-Environmental Systems Modeling","issn_l":"2663-3027","issn":["2663-3027"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Proceedings 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing. Lisbon, Portugal, 6-9 June, 2011","raw_type":"Article in monograph or in proceedings"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6000000238418579,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W120340242","https://openalex.org/W434235638","https://openalex.org/W1822948684","https://openalex.org/W1978160572","https://openalex.org/W1985643287","https://openalex.org/W1987097445","https://openalex.org/W1988233512","https://openalex.org/W1991276594","https://openalex.org/W2001187551","https://openalex.org/W2002013461","https://openalex.org/W2005177606","https://openalex.org/W2012686349","https://openalex.org/W2015266076","https://openalex.org/W2016671489","https://openalex.org/W2027724118","https://openalex.org/W2031126473","https://openalex.org/W2041090502","https://openalex.org/W2046404820","https://openalex.org/W2046763948","https://openalex.org/W2051128904","https://openalex.org/W2056203575","https://openalex.org/W2057985612","https://openalex.org/W2063362952","https://openalex.org/W2066612219","https://openalex.org/W2069267285","https://openalex.org/W2083569617","https://openalex.org/W2084924932","https://openalex.org/W2089464686","https://openalex.org/W2092441964","https://openalex.org/W2109404357","https://openalex.org/W2111947859","https://openalex.org/W2116730904","https://openalex.org/W2121025745","https://openalex.org/W2125230412","https://openalex.org/W2128199995","https://openalex.org/W2128438912","https://openalex.org/W2137608957","https://openalex.org/W2152060288","https://openalex.org/W2159961845","https://openalex.org/W2163410149","https://openalex.org/W2180683192","https://openalex.org/W3016260808","https://openalex.org/W6775604329"],"related_works":["https://openalex.org/W2065968650","https://openalex.org/W2097018019","https://openalex.org/W2766179944","https://openalex.org/W3089700404","https://openalex.org/W2107484240","https://openalex.org/W1977785776","https://openalex.org/W4200264412","https://openalex.org/W3049568724","https://openalex.org/W3186906386","https://openalex.org/W1914738805"],"abstract_inverted_index":{"In":[0],"this":[1],"study":[2,122],"the":[3,25,75,87,95,100,121,184],"estimation":[4],"of":[5,20,103,130,147],"canopy":[6,46,96,148],"chlorophyll":[7,47,78,97],"and":[8,144],"nitrogen":[9,124,149],"content":[10,98,125,150],"using":[11,24,66],"hyperspectral":[12],"reflectance":[13],"data":[14,53],"is":[15],"presented.":[16],"A":[17],"large":[18],"range":[19,102],"canopies":[21],"was":[22,86,91,138],"simulated":[23],"PROSAIL":[26,71],"radiative":[27],"transfer":[28],"model":[29],"at":[30],"a":[31,142],"1":[32],"nm":[33],"sampling":[34,58],"interval.":[35],"Several":[36],"widely":[37,179],"used":[38],"chlorophyll-related":[39],"vegetation":[40],"indices":[41],"were":[42,54],"tested":[43],"in":[44],"estimating":[45],"content.":[48],"Subsequently,":[49],"tests":[50],"with":[51,178],"field":[52],"performed":[55],"for":[56,186,189],"40":[57],"locations":[59],"within":[60],"an":[61,67],"extensively":[62],"grazed":[63],"fen":[64],"meadow":[65],"ASD":[68],"FieldSpec":[69],"spectrometer.":[70],"simulations":[72],"showed":[73],"that":[74,90,167],"red":[76],"edge":[77],"index":[79,89],"(CI":[80],"<sub":[81,134,169],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[82,108,117,135,153,162,170],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">red":[83,136,171],"edge</sub>":[84,137,172],")":[85],"best":[88],"linearly":[92],"related":[93],"to":[94,140],"over":[99],"full":[101],"potential":[104],"values":[105],"(R":[106,151],"<sup":[107,116,152,161],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[109,154],"=":[110,113,155,158],"0.94,":[111],"RMSE":[112,157],"0.29":[114],"g.m":[115,160],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-2</sup>":[118,163],").":[119,164],"At":[120],"site":[123],"has":[126],"been":[127],"measured":[128],"instead":[129],"chlorophyll.":[131],"The":[132],"CI":[133,168],"found":[139],"be":[141,174],"good":[143],"linear":[145],"estimator":[146],"0.67,":[156],"0.99":[159],"Results":[165],"demonstrate":[166],"can":[173],"applied":[175],"across":[176],"species":[177],"varying":[180],"leaf":[181],"structure":[182],"without":[183],"necessity":[185],"extensive":[187],"calibration":[188],"each":[190],"species.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
