典型文献
Detecting winter canola(Brassica napus)phenological stages using an improved shape-model method based on time-series UAV spectral data
文献摘要：
Accurate information about phenological stages is essential for canola field management practices such as irrigation,fertilization,and harvesting.Previous studies in canola phenology monitoring focused mainly on the flowering stage,using its apparent structure features and colors.Additional phenological stages have been largely overlooked.The objective of this study was to improve a shape-model method(SMM)for extracting winter canola phenological stages from time-series top-of-canopy reflectance images collected by an unmanned aerial vehicle(UAV).The transformation equation of the SMM was refined to account for the multi-peak features of the temporal dynamics of three vegetation indices(VIs)(NDVI,EVI,and CIred-edge).An experiment with various seeding scenarios was conducted,including four different seeding dates and three seeding densities.Three mathematical functions:asymmetric Gaussian function(AGF),Fourier function,and double logistic function,were employed to fit time-series vegetation indices to extract information about phenological stages.The refined SMM effectively estimated the phenological stages of canola,with a minimum root mean square error(RMSE)of 3.7 days for all phenological stages.The AGF function provided the best fitting performance,as it captured multi-ple peaks in the growth dynamics characteristics for all seeding date scenarios using four scaling param-eters.For the three selected VIs,CIred-edge achieved the greatest accuracy in estimating the phenological stage dates.This study demonstrates the high potential of the refined SMM for estimating winter canola phenology.
文献关键词：
中图分类号：
作者姓名：
Chao Zhang;Zi'ang Xie;Jiali Shang;Jiangui Liu;Taifeng Dong;Min Tang;Shaoyuan Feng;Huanjie Cai
作者机构：
College of Hydraulic Science and Engineering,Yangzhou University,Yangzhou 225009,Jiangsu,China;Agriculture and Agri-Food Canada,Ottawa Research and Development Centre,960 Carling Avenue,Ottawa,ON K1A 0C6,Canada;Key Laboratory of Agricultural Soil and Water Engineering in Arid Area of Ministry of Education,Northwest A&F University,Yangling 712100,Shaanxi,China
文献出处：
引用格式：
[1]Chao Zhang;Zi'ang Xie;Jiali Shang;Jiangui Liu;Taifeng Dong;Min Tang;Shaoyuan Feng;Huanjie Cai-.Detecting winter canola(Brassica napus)phenological stages using an improved shape-model method based on time-series UAV spectral data)[J].作物学报（英文版）,2022(05):1353-1362
A类：
canola,AGF
B类：
Detecting,winter,Brassica,napus,phenological,stages,using,improved,shape,model,method,series,UAV,spectral,data,Accurate,information,about,essential,field,management,practices,such,irrigation,fertilization,harvesting,Previous,studies,phenology,monitoring,focused,mainly,flowering,its,apparent,structure,features,colors,Additional,have,been,largely,overlooked,objective,this,study,was,SMM,extracting,from,top,canopy,reflectance,images,collected,by,unmanned,aerial,vehicle,transformation,equation,refined,account,multi,temporal,dynamics,three,vegetation,indices,VIs,NDVI,EVI,CIred,edge,An,experiment,various,seeding,scenarios,conducted,including,four,different,dates,densities,Three,mathematical,functions,asymmetric,Gaussian,Fourier,double,logistic,were,employed,effectively,estimated,minimum,root,mean,square,error,RMSE,days,all,provided,best,fitting,performance,captured,ple,peaks,growth,characteristics,scaling,param,eters,For,selected,achieved,greatest,accuracy,estimating,This,demonstrates,high,potential
AB值：
0.528157
相似文献
机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
