{"id":"https://openalex.org/W4205087445","doi":"https://doi.org/10.3390/rs14020331","title":"Combining Spectral and Texture Features of UAS-Based Multispectral Images for Maize Leaf Area Index Estimation","display_name":"Combining Spectral and Texture Features of UAS-Based Multispectral Images for Maize Leaf Area Index Estimation","publication_year":2022,"publication_date":"2022-01-11","ids":{"openalex":"https://openalex.org/W4205087445","doi":"https://doi.org/10.3390/rs14020331"},"language":"en","primary_location":{"id":"doi:10.3390/rs14020331","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14020331","pdf_url":"https://www.mdpi.com/2072-4292/14/2/331/pdf?version=1641957868","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/2/331/pdf?version=1641957868","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032159093","display_name":"Xuewei Zhang","orcid":"https://orcid.org/0000-0001-7122-5010"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuewei Zhang","raw_affiliation_strings":["School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":"https://orcid.org/0000-0001-7122-5010","affiliations":[{"raw_affiliation_string":"School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079094554","display_name":"Kefei Zhang","orcid":"https://orcid.org/0000-0001-9376-1148"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]},{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU","CN"],"is_corresponding":true,"raw_author_name":"Kefei Zhang","raw_affiliation_strings":["Bei-Stars Geospatial Information Innovation Institute, Nanjing 210000, China","Satellite Positioning for Atmosphere, Climate and Environment (SPACE) Research Center, RMIT University, Melbourne, VIC 3001, Australia","School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bei-Stars Geospatial Information Innovation Institute, Nanjing 210000, China","institution_ids":[]},{"raw_affiliation_string":"Satellite Positioning for Atmosphere, Climate and Environment (SPACE) Research Center, RMIT University, Melbourne, VIC 3001, Australia","institution_ids":["https://openalex.org/I82951845"]},{"raw_affiliation_string":"School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100570078","display_name":"Yaqin Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqin Sun","raw_affiliation_strings":["School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031185961","display_name":"Yindi Zhao","orcid":"https://orcid.org/0000-0002-7883-9506"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yindi Zhao","raw_affiliation_strings":["School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016686256","display_name":"Huifu Zhuang","orcid":"https://orcid.org/0000-0003-2267-9205"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huifu Zhuang","raw_affiliation_strings":["School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":"https://orcid.org/0000-0003-2267-9205","affiliations":[{"raw_affiliation_string":"School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039389599","display_name":"Wei Ban","orcid":"https://orcid.org/0000-0002-8918-797X"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Ban","raw_affiliation_strings":["School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101723112","display_name":"Yu Chen","orcid":"https://orcid.org/0000-0001-8131-8149"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Chen","raw_affiliation_strings":["School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113695607","display_name":"Erjiang Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Erjiang Fu","raw_affiliation_strings":["Bei-Stars Geospatial Information Innovation Institute, Nanjing 210000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bei-Stars Geospatial Information Innovation Institute, Nanjing 210000, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064979505","display_name":"Shuo Chen","orcid":"https://orcid.org/0000-0002-4342-6293"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Chen","raw_affiliation_strings":["School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":"https://orcid.org/0000-0002-4342-6293","affiliations":[{"raw_affiliation_string":"School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017182206","display_name":"Jinxiang Liu","orcid":"https://orcid.org/0000-0001-9613-7762"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxiang Liu","raw_affiliation_strings":["School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":"https://orcid.org/0000-0001-9613-7762","affiliations":[{"raw_affiliation_string":"School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113078128","display_name":"Yumeng Hao","orcid":"https://orcid.org/0000-0001-5690-4074"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yumeng Hao","raw_affiliation_strings":["School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079094554"],"corresponding_institution_ids":["https://openalex.org/I25757504","https://openalex.org/I82951845"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":15.3281,"has_fulltext":true,"cited_by_count":96,"citation_normalized_percentile":{"value":0.99405948,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"14","issue":"2","first_page":"331","last_page":"331"},"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":0.9962999820709229,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.8571316003799438},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6971109509468079},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6669294834136963},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.5511495471000671},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.46330955624580383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.447085440158844},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.4455495774745941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4405752718448639},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.41818660497665405},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.41560468077659607},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38908013701438904},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37751805782318115},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.35861140489578247},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19528725743293762},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1818608045578003},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.10234779119491577}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8571316003799438},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6971109509468079},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6669294834136963},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.5511495471000671},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.46330955624580383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.447085440158844},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.4455495774745941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4405752718448639},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.41818660497665405},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.41560468077659607},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38908013701438904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37751805782318115},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.35861140489578247},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19528725743293762},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1818608045578003},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.10234779119491577},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14020331","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14020331","pdf_url":"https://www.mdpi.com/2072-4292/14/2/331/pdf?version=1641957868","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:948a263f5f1646819334db949c5b8a7e","is_oa":true,"landing_page_url":"https://doaj.org/article/948a263f5f1646819334db949c5b8a7e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 2, p 331 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/2/331/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14020331","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 2; Pages: 331","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14020331","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14020331","pdf_url":"https://www.mdpi.com/2072-4292/14/2/331/pdf?version=1641957868","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G1629605076","display_name":null,"funder_award_id":"2017XKQY019","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5523567216","display_name":null,"funder_award_id":"Grant No.2017XKQY019","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320323154","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205087445.pdf","grobid_xml":"https://content.openalex.org/works/W4205087445.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1574532508","https://openalex.org/W1574862351","https://openalex.org/W1885752499","https://openalex.org/W1973986603","https://openalex.org/W1985555755","https://openalex.org/W2012686349","https://openalex.org/W2030575156","https://openalex.org/W2044465660","https://openalex.org/W2044922519","https://openalex.org/W2052779929","https://openalex.org/W2071454092","https://openalex.org/W2088160870","https://openalex.org/W2089441588","https://openalex.org/W2097970470","https://openalex.org/W2104094730","https://openalex.org/W2107824224","https://openalex.org/W2137608957","https://openalex.org/W2139211176","https://openalex.org/W2153635508","https://openalex.org/W2294798173","https://openalex.org/W2295187876","https://openalex.org/W2317582304","https://openalex.org/W2585334141","https://openalex.org/W2587709058","https://openalex.org/W2600798029","https://openalex.org/W2612981598","https://openalex.org/W2741876794","https://openalex.org/W2742908327","https://openalex.org/W2793167459","https://openalex.org/W2807715987","https://openalex.org/W2891621712","https://openalex.org/W2898862224","https://openalex.org/W2902928861","https://openalex.org/W2907047183","https://openalex.org/W2913022037","https://openalex.org/W2920973891","https://openalex.org/W2938239749","https://openalex.org/W2964415981","https://openalex.org/W2971382989","https://openalex.org/W2973292709","https://openalex.org/W2988241847","https://openalex.org/W2996041315","https://openalex.org/W3007973394","https://openalex.org/W3011374771","https://openalex.org/W3011940184","https://openalex.org/W3023834480","https://openalex.org/W3027652246","https://openalex.org/W3048490984","https://openalex.org/W3087070249","https://openalex.org/W3108444530","https://openalex.org/W3116545101","https://openalex.org/W3117450682","https://openalex.org/W3133861917","https://openalex.org/W3152977856","https://openalex.org/W3158152910","https://openalex.org/W3160199649","https://openalex.org/W3211077841","https://openalex.org/W6639541995","https://openalex.org/W6697466582","https://openalex.org/W6737805752","https://openalex.org/W6760442916"],"related_works":["https://openalex.org/W4388745254","https://openalex.org/W2128126485","https://openalex.org/W2980082554","https://openalex.org/W1517228774","https://openalex.org/W2767419625","https://openalex.org/W2389704471","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W2777937183","https://openalex.org/W2108633818"],"abstract_inverted_index":{"The":[0,70,130,183],"leaf":[1],"area":[2],"index":[3],"(LAI)":[4],"is":[5],"of":[6,37,75,118,196,222,235,242,252],"great":[7],"significance":[8],"for":[9,28,226,247],"crop":[10,29],"growth":[11],"monitoring.":[12,31],"Recently,":[13],"unmanned":[14],"aerial":[15],"systems":[16],"(UASs)":[17],"have":[18],"experienced":[19],"rapid":[20],"development":[21],"and":[22,40,54,72,88,103,155,171,207,230,244],"can":[23],"provide":[24],"critical":[25],"data":[26,140],"support":[27,164],"LAI":[30,50,58,124,180,228],"This":[32,217],"study":[33,218],"investigates":[34],"the":[35,84,89,116,127,178,197,220,232,240,249],"effects":[36],"combining":[38,241],"spectral":[39,71,243],"texture":[41,73,96,100,105,121,224,245],"features":[42,74,122,133,246],"extracted":[43,82],"from":[44,61],"UAS":[45,76],"multispectral":[46,77],"imagery":[47],"on":[48,123],"maize":[49,57,179,227,253],"estimation.":[51],"Multispectral":[52],"images":[53,80],"in":[55,64,194],"situ":[56],"were":[59],"collected":[60],"test":[62],"sites":[63],"Tongshan,":[65],"Xuzhou,":[66],"Jiangsu":[67],"Province,":[68],"China.":[69],"remote":[78,131],"sensing":[79,132],"are":[81,108,134,161],"using":[83,110,236],"vegetation":[85],"indices":[86,97,101,106,225],"(VIs)":[87],"gray-level":[90],"co-occurrence":[91],"matrix":[92],"(GLCM),":[93],"respectively.":[94],"Normalized":[95],"(NDTIs),":[98],"ratio":[99],"(RTIs),":[102],"difference":[104],"(DTIs)":[107],"calculated":[109],"two":[111,119],"GLCM-based":[112],"textures":[113],"to":[114,176,238],"express":[115],"influence":[117],"different":[120,223],"monitoring":[125,229],"at":[126],"same":[128],"time.":[129],"prescreened":[135],"through":[136],"correlation":[137],"analysis.":[138],"Different":[139],"dimensionality":[141],"reduction":[142],"or":[143],"feature":[144],"selection":[145,149],"methods,":[146],"including":[147],"stepwise":[148],"(ST),":[150],"principal":[151],"component":[152],"analysis":[153],"(PCA),":[154],"ST":[156],"combined":[157],"with":[158,163,189],"PCA":[159],"(ST_PCA),":[160],"coupled":[162,188],"vector":[165],"regression":[166,174],"(SVR),":[167],"random":[168],"forest":[169],"(RF),":[170],"multiple":[172],"linear":[173],"(MLR)":[175],"build":[177],"estimation":[181,250],"models.":[182],"results":[184],"reveal":[185],"that":[186],"ST_PCA":[187,237],"SVR":[190],"has":[191],"better":[192],"performance,":[193],"terms":[195],"VIs":[198,208],"+":[199,209],"DTIs":[200],"(R2":[201,211],"=":[202,205,212,215],"0.876,":[203],"RMSE":[204,214],"0.239)":[206],"NDTIs":[210],"0.877,":[213],"0.236).":[216],"introduces":[219],"potential":[221],"demonstrates":[231],"promising":[233],"solution":[234],"realize":[239],"improving":[248],"accuracy":[251],"LAI.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":14}],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2022-01-26T00:00:00"}