Relative Discrimination of Planophile and Erectophile Wheat Types using Multi-temporal Spectrum Measurements
文献类型: 外文期刊
作者: Wang, Jihua 2 ; Wang, Zhijie 1 ; Uchida, Satoshi 1 ; Huang, Wenjiang 2 ;
作者机构: 1.JIRCAS, Dev Res Div, Tsukuba, Ibaraki 3058686, Japan
2.Natl Engn Res Ctr Informat Technol Agr, Remote Sensing Div, Beijing 100089, Peoples R China
3.Agr & Agri Food Canada, Hort Res & Dev Ctr, St Jean, PQ J3B 3E6, Canada
关键词: canopy structure type; discriminating; multi-temporal canopy spectral data; winter wheat
期刊名称:JARQ-JAPAN AGRICULTURAL RESEARCH QUARTERLY ( 影响因子:0.558; 五年影响因子:0.694 )
ISSN: 0021-3551
年卷期: 2009 年 43 卷 2 期
页码:
收录情况: SCI
摘要: Over-luxuriant winter wheat can always be seen when pre-winter accumulated temperature is high or too much fertilizer is applied before sowing. Over-luxuriant erectophile type wheat shows a similar canopy spectral feature to that of the planophile type. This special canopy spectral feature influences N fertilizer application decision making when using remote sensing technologies to detect N status. The objective of this study was to relatively discriminate erectophile type wheat from the planophile type and then further detect over-luxuriant canopy using seasonal changes in canopy spectral reference. Two groups of winter wheat cultivars with different canopy structures were investigated. The wheat leaf distribution feature was combined with the ratio of canopy spectral reflectance of 790 nm at elongation stage (R790(e)) to that at rising stage (R790(r)), i.e. R790(e)/R790(r). Based on the values of both normalized R790(e)(NR790(e)) and normalized R790(e)/R790(r)(N(R790(e)/R790(r))), a two-dimensional spectral coordinate system charactering seasonal change in canopy spectral reflectance was constructed. According to the distribution features, cultivars with N(R790(e)/R790(r)) >= 1 were discriminated as the planophile type in which cultivars with NR790(e) >= 1 were normal and over-luxuriant (or dense) planophile type, and those with NR790(e) < 1 were considered the sparse planophile type. On the contrary, cultivars with N(R790(e)/R790(r)) < 1 were grouped in the erectophile type in which cultivars with NR790(e) < 1 were considered normal and sparse erectophile type, and those with NR790(e) >= 1 were attributed to the over-luxuriant erectophile type. Thus, N(R790(e)/R790(r)) could be used to relatively discriminate wheat canopy structure, and NR790(e) to judge wheat canopy density. The larger the NR790(e) value, the higher the canopy density. The average discrimination accuracy Of Our Method was 84.4%. Nevertheless, this method could provide the relative positions only within the investigated cultivars since both NR790(e) and N(R790(e)/R790(r)) were relative ratios to their average.
- 相关文献
作者其他论文 更多>>
-
Remote sensing of quality traits in cereal and arable production systems: A review
作者:Li, Zhenhai;Fan, Chengzhi;Li, Zhenhai;Zhao, Yu;Song, Xiaoyu;Yang, Guijun;Jin, Xiuliang;Casa, Raffaele;Huang, Wenjiang;Blasch, Gerald;Taylor, James;Li, Zhenhong
关键词:Remote sensing; Quality traits; Grain protein; Cereal
-
Coupled maize model: A 4D maize growth model based on growing degree days
作者:Qian, Binxiang;Huang, Wenjiang;Ye, Huichun;Guo, Anting;Pan, Yuhao;Jin, Yin;Jiao, Quanjun;Zhang, Biyao;Qian, Binxiang;Huang, Wenjiang;Ye, Huichun;Guo, Anting;Pan, Yuhao;Jin, Yin;Jiao, Quanjun;Qian, Binxiang;Huang, Wenjiang;Ye, Huichun;Guo, Anting;Pan, Yuhao;Jin, Yin;Jiao, Quanjun;Huang, Wenjiang;Ye, Huichun;Guo, Anting;Xie, Donghui;Xie, Qiaoyun;Ruan, Chao;Xu, Tianjun;Zhang, Yong;Nie, Tiange
关键词:Remote sensing; Maize growth model; 4D maize growth model; Maize canopy parameters; Growing degree days (GDDs); Coupled maize model
-
An Apple Fungal Infection Detection Model Based on BPNN Optimized by Sparrow Search Algorithm
作者:Zhao, Changtong;Ma, Jie;Jia, Wenshen;Tian, Hui;Jia, Wenshen;Wang, Jihua;Wang, Huihua;Zhou, Wei
关键词:electronic nose; fungal infection; sparrow search algorithm; apples
-
Estimation of wheat tiller density using remote sensing data and machine learning methods
作者:Hu, Jinkang;Zhang, Bing;Peng, Dailiang;Yu, Ruyi;Ye, Huichun;Huang, Wenjiang;Cheng, Enhui;Yang, Songlin;Hu, Jinkang;Zhang, Bing;Cheng, Enhui;Yang, Songlin;Peng, Dailiang;Ye, Huichun;Huang, Wenjiang;Liu, Yao;Xiao, Chenchao;Li, Cunjun;Dong, Tao;Fang, Moren;Lin, Binbin;Wang, Mengmeng
关键词:winter wheat; tiller density; UAV hyperspectral; vegetation index; random forest; gradient boosted regression trees
-
BACK-PROPAGATION NEURAL NETWORK-BASED MODELLING FOR SOIL HEAVY METAL
作者:Li, Fang;You, Tianyan;Li, Fang;Lu, Anxiang;Wang, Jihua
关键词:Levenberg-Marquart; back-propagation neural network; soil; heavy metal
-
APROPRIETARILY DEVELOPED BIONIC OLFACTORY SYSTEM USED FOR RAPID DETECTION OF DETERIORATED REFRIGERATED-STORED APPLES
作者:Tian, Hui;Jia, Wenshen;Ma, Jie;Jia, Wenshen;Wang, Jihua;Jia, Wenshen;Wang, Jihua;Jia, Wenshen;Wang, Jihua;Hao, Jianxiong
关键词:Electronic nose; sensor; principal component analysis; bakepropagation neural network
-
Sino-EU Earth Observation Data to Support the Monitoring and Management of Agricultural Resources
作者:Pignatti, Stefano;Pascucci, Simone;Casa, Raffaele;Tolomio, Massimo;Laneve, Giovanni;Marzialetti, Pablo;Li, Zhenhai;Yang, Hao;Yang, Guijun;Liu, Linyi;Huang, Wenjiang;Silvestro, Paolo Cosmo;Upreti, Deepak
关键词:multispectral data analysis; satellite data assimilation; crop variables estimation; modeling; crop pest and disease



