{"id":"https://openalex.org/W2988554303","doi":"https://doi.org/10.1109/igarss.2019.8900045","title":"Corn Biomass Estimation Using Sentinel-2 and VEN\u00b5S Data Based on A Simple Light Use Efficiency Method","display_name":"Corn Biomass Estimation Using Sentinel-2 and VEN\u00b5S Data Based on A Simple Light Use Efficiency Method","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2988554303","doi":"https://doi.org/10.1109/igarss.2019.8900045","mag":"2988554303"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8900045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8900045","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":"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/A5021411883","display_name":"Chunhua Liao","orcid":"https://orcid.org/0000-0002-5504-206X"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Chunhua Liao","raw_affiliation_strings":["Department of Geography, the University of Western Ontario, London, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, the University of Western Ontario, London, Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006022882","display_name":"Jinfei Wang","orcid":"https://orcid.org/0000-0002-8404-0530"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jinfei Wang","raw_affiliation_strings":["Department of Geography, the University of Western Ontario, London, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, the University of Western Ontario, London, Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004185970","display_name":"Bo Shan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161505","display_name":"A&L Canada Laboratories (Canada)","ror":"https://ror.org/04tnq4461","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210161505"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Bo Shan","raw_affiliation_strings":["A&L Canada Laboratories Inc., London, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A&L Canada Laboratories Inc., London, Ontario, Canada","institution_ids":["https://openalex.org/I4210161505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7294","last_page":"7297"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9868999719619751,"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"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9632999897003174,"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/biomass","display_name":"Biomass (ecology)","score":0.8165784478187561},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5478531718254089},{"id":"https://openalex.org/keywords/growing-season","display_name":"Growing season","score":0.44779515266418457},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4079058766365051},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3425178527832031},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.2974601984024048},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10664406418800354},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07425656914710999}],"concepts":[{"id":"https://openalex.org/C115540264","wikidata":"https://www.wikidata.org/wiki/Q2945560","display_name":"Biomass (ecology)","level":2,"score":0.8165784478187561},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5478531718254089},{"id":"https://openalex.org/C137660486","wikidata":"https://www.wikidata.org/wiki/Q732240","display_name":"Growing season","level":2,"score":0.44779515266418457},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4079058766365051},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3425178527832031},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.2974601984024048},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10664406418800354},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07425656914710999}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8900045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8900045","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W250703692","https://openalex.org/W1875412457","https://openalex.org/W1994975670","https://openalex.org/W1998256169","https://openalex.org/W2001467506","https://openalex.org/W2003299437","https://openalex.org/W2020460314","https://openalex.org/W2036908963","https://openalex.org/W2114248304","https://openalex.org/W2151023338","https://openalex.org/W2153783191","https://openalex.org/W2154700052","https://openalex.org/W2535782134","https://openalex.org/W2767273025","https://openalex.org/W2892959751"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2600246793","https://openalex.org/W4389302712"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"Sentinel-2":[3],"and":[4,31],"VEN\u03bcS":[5],"remote":[6],"sensing":[7],"data":[8],"were":[9],"combined":[10],"to":[11],"estimate":[12],"corn":[13],"biomass":[14,30,35],"based":[15],"on":[16],"a":[17],"simple":[18],"light":[19,56],"use":[20,57],"efficiency":[21,58],"method.":[22],"The":[23,43],"RMSE":[24],"between":[25],"the":[26,49,54,68],"measured":[27,50],"dry":[28,33],"aboveground":[29,34],"estimated":[32,63],"is":[36],"112.36":[37],"g/m":[38],"<sup":[39],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[40],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[41],".":[42],"estimates":[44],"show":[45],"good":[46],"agreements":[47],"with":[48],"biomass,":[51],"indicating":[52],"that":[53],"effective":[55],"(ELUE)":[59],"can":[60],"be":[61],"effectively":[62],"using":[64],"maximal":[65],"fAPAR":[66],"throughout":[67],"growing":[69],"season.":[70]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}