{"id":"https://openalex.org/W2980007990","doi":"https://doi.org/10.1109/multi-temp.2019.8866845","title":"Estimation of Maize Yield in Yitong County based on Multi-source Remote Sensing Data from 2007 to 2017","display_name":"Estimation of Maize Yield in Yitong County based on Multi-source Remote Sensing Data from 2007 to 2017","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2980007990","doi":"https://doi.org/10.1109/multi-temp.2019.8866845","mag":"2980007990"},"language":"en","primary_location":{"id":"doi:10.1109/multi-temp.2019.8866845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/multi-temp.2019.8866845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)","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/A5100354978","display_name":"Yibo Wang","orcid":"https://orcid.org/0000-0002-8819-2005"},"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":"Yibo Wang","raw_affiliation_strings":["Key Laboratory for Land Environment and Disaster Monitoring of NASG, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory for Land Environment and Disaster Monitoring of NASG, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100706451","display_name":"Xue Wang","orcid":"https://orcid.org/0000-0002-6639-3092"},"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":"Xue Wang","raw_affiliation_strings":["Key Laboratory for Land Environment and Disaster Monitoring of NASG, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory for Land Environment and Disaster Monitoring of NASG, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101482958","display_name":"Kun Tan","orcid":"https://orcid.org/0000-0001-6353-0146"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Tan","raw_affiliation_strings":["Key Laboratory of Geographic Information Science (Ministry of Education East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science (Ministry of Education East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051619048","display_name":"Yu Chen","orcid":"https://orcid.org/0000-0002-3014-9012"},"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":["Key Laboratory for Land Environment and Disaster Monitoring of NASG, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory for Land Environment and Disaster Monitoring of NASG, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064520287","display_name":"Kailei Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kailei Xu","raw_affiliation_strings":["MEIHANG Remote Sensing Information Co. Ltd, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MEIHANG Remote Sensing Information Co. Ltd, Xi'an, China","institution_ids":["https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14517189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9988999962806702,"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":0.9988999962806702,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9710000157356262,"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"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9560999870300293,"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/environmental-science","display_name":"Environmental science","score":0.668218195438385},{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.623466432094574},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5466845035552979},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.533166766166687},{"id":"https://openalex.org/keywords/spatial-variability","display_name":"Spatial variability","score":0.4711393713951111},{"id":"https://openalex.org/keywords/productivity","display_name":"Productivity","score":0.4645502269268036},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4629996418952942},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.36253559589385986},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.3376314640045166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2116239070892334},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18813133239746094},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17487064003944397},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08088967204093933}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.668218195438385},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.623466432094574},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5466845035552979},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.533166766166687},{"id":"https://openalex.org/C94747663","wikidata":"https://www.wikidata.org/wiki/Q7574086","display_name":"Spatial variability","level":2,"score":0.4711393713951111},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.4645502269268036},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4629996418952942},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.36253559589385986},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.3376314640045166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2116239070892334},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18813133239746094},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17487064003944397},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08088967204093933},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/multi-temp.2019.8866845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/multi-temp.2019.8866845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)","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":6,"referenced_works":["https://openalex.org/W1988384549","https://openalex.org/W2167891208","https://openalex.org/W2266068840","https://openalex.org/W2283111678","https://openalex.org/W2411263686","https://openalex.org/W2591784175"],"related_works":["https://openalex.org/W1979505936","https://openalex.org/W2393813231","https://openalex.org/W2366003240","https://openalex.org/W2793009754","https://openalex.org/W2032352296","https://openalex.org/W1999817923","https://openalex.org/W2071924129","https://openalex.org/W2349438374","https://openalex.org/W1988472882","https://openalex.org/W2948644508"],"abstract_inverted_index":{"With":[0],"the":[1,7,24,28,43,63,71,77,102,115,124,128,137,141,157,178,183,191,197],"development":[2,200],"of":[3,9,30,47,79,99,117,127,149,159,185,202],"remote":[4,14,39],"sensing":[5,40],"technology,":[6],"utilizations":[8],"multi-spatial":[10],"and":[11,26,54,76,91,114,145,182,199],"multispectral":[12],"resolution":[13],"images":[15],"have":[16,41,153],"proved":[17],"to":[18,107,167],"be":[19],"very":[20],"important":[21],"in":[22,101,162,190,204],"monitoring":[23],"growth":[25,198],"estimating":[27],"yield":[29,64,158,174,184],"agricultural":[31],"crops.":[32],"The":[33,147],"light":[34],"energy":[35],"utilization":[36],"models":[37],"using":[38,70,111,171],"got":[42],"wide":[44],"application":[45],"because":[46],"its":[48],"simple":[49],"data":[50],"acquisition,":[51],"less":[52],"parameters":[53],"capabilities":[55],"for":[56],"time":[57],"series":[58],"analysis.":[59],"In":[60],"this":[61],"research,":[62],"estimation":[65,175],"has":[66],"been":[67,154],"carried":[68],"out":[69],"net":[72],"primary":[73],"productivity":[74],"(NPP)":[75],"contents":[78],"soil":[80,129,142],"organic":[81,130,143],"matter":[82,131],"which":[83],"are":[84],"obtained":[85],"by":[86],"Carnegie-Ames-Stanford":[87],"approach":[88,94],"(CASA)":[89],"model":[90,126],"our":[92],"proposed":[93],"respectively.":[95],"More":[96],"specifically,":[97],"NPP":[98],"maize":[100,161,179,186,203],"study":[103,192],"area":[104,189,193],"from":[105,165],"2007":[106,166],"2017":[108,168],"was":[109,133,169],"estimated":[110,170],"CASA":[112],"model,":[113],"characters":[116,148],"spatio-temporal":[118,150],"variation":[119,151],"were":[120,194,207],"explored.":[121,155],"After":[122],"that,":[123],"retrieval":[125],"content":[132,144],"established":[134],"based":[135],"on":[136],"relationship":[138],"analyzation":[139],"between":[140],"NPP.":[146],"also":[152],"Then":[156],"spring":[160],"Yitong":[163,205],"County":[164,206],"an":[172],"improved":[173],"model.":[176],"Moreover,":[177],"harvest":[180],"index":[181],"per":[187],"unit":[188],"obtained.":[195],"Finally,":[196],"information":[201],"comprehensively":[208],"evaluated":[209],"combining":[210],"with":[211],"these":[212],"mentioned":[213],"data.":[214]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}