{"id":"https://openalex.org/W2000742201","doi":"https://doi.org/10.1109/igarss.2014.6947104","title":"Comparison of accuracy and stability of estimating winter wheat chlorophyll content based on spectral indices","display_name":"Comparison of accuracy and stability of estimating winter wheat chlorophyll content based on spectral indices","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2000742201","doi":"https://doi.org/10.1109/igarss.2014.6947104","mag":"2000742201"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2014.6947104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6947104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","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/A5072842893","display_name":"Hailing Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Hai-ling","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","Institute of Remote Sensing and GIS, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"raw_affiliation_string":"Institute of Remote Sensing and GIS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103859675","display_name":"Zhang Lifu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Li-fu","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yang Hang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Hang","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462202","display_name":"Xiaoping Chen","orcid":"https://orcid.org/0000-0002-2910-9152"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Xiao-ping","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wang Shu-dong","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Shu-dong","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039778931","display_name":"Xueke Li","orcid":"https://orcid.org/0000-0001-6755-9229"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Xue-ke","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100399906","display_name":"Kai Liu","orcid":"https://orcid.org/0000-0002-5500-0644"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Kai","raw_affiliation_strings":["Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.10232102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2985","last_page":"2988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9995999932289124,"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":0.9995999932289124,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9861999750137329,"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"}},{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9853000044822693,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.7574849128723145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5968769788742065},{"id":"https://openalex.org/keywords/chlorophyll","display_name":"Chlorophyll","score":0.5964682698249817},{"id":"https://openalex.org/keywords/spectral-index","display_name":"Spectral index","score":0.5612300634384155},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5263422727584839},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5105651617050171},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.47538578510284424},{"id":"https://openalex.org/keywords/fluorometer","display_name":"Fluorometer","score":0.4586096405982971},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.41193562746047974},{"id":"https://openalex.org/keywords/vegetation-index","display_name":"Vegetation Index","score":0.41043710708618164},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.21688932180404663},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18286332488059998},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.17008137702941895},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.1683741807937622},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15524861216545105},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11021456122398376},{"id":"https://openalex.org/keywords/fluorescence","display_name":"Fluorescence","score":0.06989994645118713}],"concepts":[{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.7574849128723145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5968769788742065},{"id":"https://openalex.org/C2776373379","wikidata":"https://www.wikidata.org/wiki/Q43177","display_name":"Chlorophyll","level":2,"score":0.5964682698249817},{"id":"https://openalex.org/C42061751","wikidata":"https://www.wikidata.org/wiki/Q2280060","display_name":"Spectral index","level":3,"score":0.5612300634384155},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5263422727584839},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5105651617050171},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.47538578510284424},{"id":"https://openalex.org/C202800777","wikidata":"https://www.wikidata.org/wiki/Q1781297","display_name":"Fluorometer","level":3,"score":0.4586096405982971},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.41193562746047974},{"id":"https://openalex.org/C2780376076","wikidata":"https://www.wikidata.org/wiki/Q1499458","display_name":"Vegetation Index","level":4,"score":0.41043710708618164},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.21688932180404663},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18286332488059998},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.17008137702941895},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.1683741807937622},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15524861216545105},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11021456122398376},{"id":"https://openalex.org/C91881484","wikidata":"https://www.wikidata.org/wiki/Q191807","display_name":"Fluorescence","level":2,"score":0.06989994645118713},{"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2014.6947104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6947104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W571150846","https://openalex.org/W1967012986","https://openalex.org/W1988233512","https://openalex.org/W1998170688","https://openalex.org/W2034562813","https://openalex.org/W2036003376","https://openalex.org/W2059523177","https://openalex.org/W2380662593","https://openalex.org/W2999474182","https://openalex.org/W4300420063"],"related_works":["https://openalex.org/W2474967816","https://openalex.org/W3163559890","https://openalex.org/W2169663233","https://openalex.org/W2002189733","https://openalex.org/W2413001789","https://openalex.org/W4220689128","https://openalex.org/W3021468974","https://openalex.org/W2145830077","https://openalex.org/W2170790500","https://openalex.org/W2000742201"],"abstract_inverted_index":{"Spectral":[0],"index":[1],"method":[2],"was":[3,44,150],"widely":[4],"applied":[5],"to":[6,24,58,99,124,221],"the":[7,26,46,53,69,90,120,125,135,141,154,160,184,216],"inversion":[8],"of":[9,34,49,92,224],"crop":[10],"chlorophyll":[11,20,30,148,164,223],"content.":[12],"In":[13],"this":[14],"study,":[15],"PSR3500":[16],"spectrometer":[17],"and":[18,28,63,106,138,147,172,200,219],"SPAD-502":[19],"fluorometer":[21],"were":[22,56,117],"used":[23],"acquire":[25],"spectrum":[27],"relative":[29],"content":[31,149],"(SPAD":[32],"value)":[33],"winter":[35,50,225],"wheat":[36,226],"leaves":[37],"on":[38,110,134],"May":[39],"2nd":[40],"2013":[41],"when":[42],"it":[43],"at":[45],"jointing":[47],"stage":[48],"wheat.":[51],"Then":[52],"measured":[54],"spectra":[55],"resampled":[57],"simulated":[59,185,229],"TM":[60,137,230],"multispectral":[61],"data":[62,66,231],"Hyperion":[64,139,186,233],"hyperspectral":[65],"respectively,":[67],"using":[68,228],"Gaussian":[70],"spectral":[71,78,131,145],"response":[72],"function.":[73],"We":[74],"chose":[75],"four":[76],"typical":[77],"indices":[79,132,146],"including":[80],"Normalized":[81],"Difference":[82],"Vegetation":[83,87,103,107],"Index":[84,88,108],"(NDVI),":[85],"Triangle":[86],"(TVI),":[89],"ratio":[91],"Modified":[93],"Transformed":[94],"Chlorophyll":[95],"Absorption":[96],"Ratio":[97],"Index(MCARI)":[98],"Optimized":[100],"Soil":[101],"Adjusted":[102],"Index(OSAVI)":[104],"(MCARI/OSAVI)":[105],"Based":[109],"Universal":[111],"Pattern":[112],"Decomposition":[113],"Method":[114],"(VIUPD),":[115],"which":[116,235],"constructed":[118],"with":[119,163,179,192,206],"feature":[121],"bands":[122],"sensitive":[123],"vegetation":[126],"chlorophyll.":[127],"After":[128],"calculating":[129],"these":[130],"based":[133],"resampling":[136],"data,":[140,187,234],"regression":[142],"equation":[143],"between":[144],"established.":[151],"For":[152,183],"TM,":[153],"result":[155],"indicates":[156],"that":[157,213,237],"VIUPD":[158,188,214,238],"has":[159,215],"best":[161,217],"correlation":[162,178],"(R2=0.8197)":[165],"followed":[166,194],"by":[167,195],"NDVI":[168,199],"(R2=0.7918),":[169],"while":[170,198],"MCARI/OSAVI":[171,196],"TVI":[173,201],"also":[174],"show":[175,202],"a":[176],"good":[177],"R2higher":[180],"than":[181,208],"0.5.":[182],"again":[189],"ranks":[190],"first":[191],"R2=0.8171,":[193],"(R2=0.6586),":[197],"very":[203],"low":[204],"values":[205],"R2lesser":[207],"0.2.":[209],"It":[210],"is":[211,239],"demonstrated":[212],"accuracy":[218],"stability":[220],"estimate":[222],"whether":[227],"or":[232],"reaffirms":[236],"comparatively":[240],"sensor":[241],"independent.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
