{"id":"https://openalex.org/W2988895845","doi":"https://doi.org/10.1109/igarss.2019.8897844","title":"Estimation of Leaf Area Index of Winter Wheat Based on Hyperspectral Data of Unmanned Aerial Vehicles","display_name":"Estimation of Leaf Area Index of Winter Wheat Based on Hyperspectral Data of Unmanned Aerial Vehicles","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2988895845","doi":"https://doi.org/10.1109/igarss.2019.8897844","mag":"2988895845"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8897844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8897844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","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/A5013377352","display_name":"Riqiang Chen","orcid":"https://orcid.org/0000-0002-7828-1645"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Riqiang Chen","raw_affiliation_strings":["School of Surveying and land Information Engineering, Henan Polytechnic University, Jiaozuo, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying and land Information Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100599550","display_name":"Haikuan Feng","orcid":"https://orcid.org/0000-0003-3312-6200"},"institutions":[{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haikuan Feng","raw_affiliation_strings":["Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture, Beijing Research Center for Information Technology in Agriculture, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture, Beijing Research Center for Information Technology in Agriculture, Beijing, China","institution_ids":["https://openalex.org/I4210156423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015009207","display_name":"Fuqin Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094772","display_name":"Henan University of Engineering","ror":"https://ror.org/007wym039","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210094772"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuqin Yang","raw_affiliation_strings":["College of Civil Engineering, Henan Institute of Engineering, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Civil Engineering, Henan Institute of Engineering, Zhengzhou, China","institution_ids":["https://openalex.org/I4210094772"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101700398","display_name":"Changchun Li","orcid":"https://orcid.org/0000-0002-4699-8609"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changchun Li","raw_affiliation_strings":["School of Surveying and land Information Engineering, Henan Polytechnic University, Jiaozuo, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying and land Information Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020713851","display_name":"Guijun Yang","orcid":"https://orcid.org/0000-0002-6425-8321"},"institutions":[{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guijun Yang","raw_affiliation_strings":["Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture, Beijing Research Center for Information Technology in Agriculture, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture, Beijing Research Center for Information Technology in Agriculture, Beijing, China","institution_ids":["https://openalex.org/I4210156423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063086391","display_name":"Haojie Pei","orcid":"https://orcid.org/0000-0002-4665-5657"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojie Pei","raw_affiliation_strings":["School of Surveying and land Information Engineering, Henan Polytechnic University, Jiaozuo, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying and land Information Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057288761","display_name":"Li Pan","orcid":"https://orcid.org/0000-0003-1448-8740"},"institutions":[{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Pan","raw_affiliation_strings":["Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture, Beijing Research Center for Information Technology in Agriculture, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture, Beijing Research Center for Information Technology in Agriculture, Beijing, China","institution_ids":["https://openalex.org/I4210156423"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100629119","display_name":"Peng Chen","orcid":"https://orcid.org/0000-0002-5810-8159"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Chen","raw_affiliation_strings":["School of Surveying and land Information Engineering, Henan Polytechnic University, Jiaozuo, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying and land Information Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5013377352"],"corresponding_institution_ids":["https://openalex.org/I4210166499"],"apc_list":null,"apc_paid":null,"fwci":0.3406,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66321465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1785","last_page":"1788"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9973999857902527,"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":0.996999979019165,"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/mean-squared-error","display_name":"Mean squared error","score":0.5752531886100769},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5077446699142456},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42900368571281433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36721643805503845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3579748868942261},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33541929721832275},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29440808296203613}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5752531886100769},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5077446699142456},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42900368571281433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36721643805503845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3579748868942261},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33541929721832275},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29440808296203613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8897844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8897844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2130995459","https://openalex.org/W2891829124"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W4313014865"],"abstract_inverted_index":{"Rapid":[0],"and":[1,18,41,46],"accurate":[2],"estimation":[3,49,66,109],"of":[4,34,44,171,186],"the":[5,31,38,47,70,75,113,118,157,167,184],"winter":[6,79,122,172],"wheat":[7,80,123],"leaf":[8,168],"area":[9,169],"index":[10,170],"(LAI)":[11],"is":[12,74,117,153],"important":[13],"for":[14,78,121],"evaluating":[15],"its":[16],"growth":[17,185],"estimating":[19],"yield.":[20],"In":[21],"this":[22],"paper,":[23],"Optimal":[24],"Index":[25],"(OI)":[26],"was":[27,51],"used":[28,177],"to":[29,155,165,182],"screen":[30],"best":[32,76,119],"combination":[33,73,116,160],"hyperspectral":[35],"bands":[36],"in":[37],"flag":[39,81],"stage":[40,82],"flowering":[42,124],"period":[43],"wheat,":[45,173],"LAI":[48,65,108],"model":[50,67,77,110,120],"constructed":[52,111],"by":[53,112],"Partial":[54],"Least":[55],"Square":[56],"(PLS).":[57],"The":[58,64,107,148],"main":[59],"results":[60,149],"are":[61],"as":[62,161,178],"follows:":[63],"based":[68],"on":[69],"614-774-794nm":[71],"band":[72,115,159],"(R":[83,125],"<sup":[84,96,126,138],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[85,94,97,103,127,136,139,145],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[86,98,128,140],"=":[87,90,99,105,129,132,141],"0.485,":[88],"RMSE":[89,101,131,143],"1.192,":[91],"R":[92,134],"<sub":[93,102,135,144],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">V</sub>":[95,104,137,146],"0.682,":[100],"1.210);":[106],"454-754-834nm":[114],"0.702,":[130],"0.665,":[133],"0.810,":[142],"=0.468).":[147],"show":[150],"that":[151],"it":[152],"feasible":[154],"use":[156],"optimal":[158],"an":[162],"independent":[163],"variable":[164],"estimate":[166],"which":[174],"can":[175],"be":[176],"a":[179],"new":[180],"method":[181],"monitor":[183],"wheat.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}