{"id":"https://openalex.org/W2169574749","doi":"https://doi.org/10.1109/igarss.2005.1525358","title":"Calculation of mesophyll structure parameter and its effect on leaf spectral reflectance","display_name":"Calculation of mesophyll structure parameter and its effect on leaf spectral reflectance","publication_year":2005,"publication_date":"2005-11-15","ids":{"openalex":"https://openalex.org/W2169574749","doi":"https://doi.org/10.1109/igarss.2005.1525358","mag":"2169574749"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2005.1525358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1525358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.","raw_type":"proceedings-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/A5037243449","display_name":"Zuhu Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","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":true,"raw_author_name":"Zuhu Yang","raw_affiliation_strings":["Graduate School of Chinese Academy of Sciences, Beijing, China","Institute of Geographical Sciences, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Graduate School of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Geographical Sciences, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037043871","display_name":"Runhe Shi","orcid":"https://orcid.org/0000-0001-7942-6538"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","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":"Runhe Shi","raw_affiliation_strings":["Graduate School of Chinese Academy of Sciences, Beijing, China","Institute of Geographical Sciences, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Graduate School of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Geographical Sciences, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110344100","display_name":"Ershun Zhong","orcid":null},"institutions":[{"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":"Ershun Zhong","raw_affiliation_strings":["Institute of Geographical Sciences, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Geographical Sciences, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037243449"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.12598632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1299","last_page":"1301"},"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":0.9969000220298767,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.6998631358146667},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6988700032234192},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.6893848776817322},{"id":"https://openalex.org/keywords/transmittance","display_name":"Transmittance","score":0.6018422245979309},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5554701089859009},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.5499547719955444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5129330158233643},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4912671446800232},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.40485161542892456},{"id":"https://openalex.org/keywords/computational-physics","display_name":"Computational physics","score":0.32793518900871277},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.3153265118598938},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3038611114025116},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2814299464225769},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2643088400363922},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22455954551696777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10037672519683838}],"concepts":[{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.6998631358146667},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6988700032234192},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.6893848776817322},{"id":"https://openalex.org/C150493377","wikidata":"https://www.wikidata.org/wiki/Q1427863","display_name":"Transmittance","level":2,"score":0.6018422245979309},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5554701089859009},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.5499547719955444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5129330158233643},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4912671446800232},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.40485161542892456},{"id":"https://openalex.org/C30475298","wikidata":"https://www.wikidata.org/wiki/Q909554","display_name":"Computational physics","level":1,"score":0.32793518900871277},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3153265118598938},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3038611114025116},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2814299464225769},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2643088400363922},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22455954551696777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10037672519683838},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2005.1525358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1525358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W188908432","https://openalex.org/W1974110440","https://openalex.org/W1988233512","https://openalex.org/W2015799298","https://openalex.org/W2046404820","https://openalex.org/W2066612219","https://openalex.org/W2083955053","https://openalex.org/W2546952511"],"related_works":["https://openalex.org/W2225115717","https://openalex.org/W4206233749","https://openalex.org/W2474848152","https://openalex.org/W245142414","https://openalex.org/W2367900774","https://openalex.org/W2975232007","https://openalex.org/W4321517446","https://openalex.org/W2182486267","https://openalex.org/W829658220","https://openalex.org/W2740316168"],"abstract_inverted_index":{"Mesophyll":[0],"structure":[1],"parameter":[2],"(N)":[3],"greatly,":[4],"influences":[5],"on":[6,86],"leaf":[7,59],"reflectance":[8],"and":[9,22,57,108],"transmittance":[10],"spectra":[11,107],"according":[12],"to":[13,48,52],"PROSPECT":[14],"model":[15],"simulated":[16,106],"data.":[17],"Its":[18],"influence":[19],"is":[20,47,76,84,114],"nonlinear":[21],"becomes":[23],"less":[24,94],"with":[25,37],"increasing":[26],"N.":[27],"We":[28],"compare":[29],"two":[30],"methods":[31],"for":[32],"the":[33,53,98,103,111],"calculation":[34],"of":[35,105],"N":[36,50],"samples":[38],"selected":[39],"from":[40],"LOPEN":[41],"data":[42],"set":[43],"The":[44,81,89],"first":[45,99],"method":[46,83,113],"calculate":[49],"according,":[51],"relationship":[54],"between":[55],"A,":[56],"specific":[58],"area":[60],"(SLA).":[61],"Two":[62],"empirical":[63],"formulas":[64],"are":[65,92],"compared":[66],"in":[67],"this":[68],"paper.":[69],"Results":[70],"show":[71],"that":[72],"their":[73],"correlation":[74],"coefficient":[75],"as":[77,79],"large":[78],"0.990.":[80],"other":[82],"based":[85],"merit":[87],"function.":[88],"calculated":[90],"Ns":[91],"generally":[93],"than":[95],"those":[96],"using":[97],"method.":[100],"While":[101],"considering":[102],"similarity":[104],"measured":[109],"spectra.":[110],"second":[112],"better.":[115]},"counts_by_year":[{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
