Estimating Foliar Pigment Concentration of Rice Crop Using Integrated Hyperspectral Index
文献类型: 外文期刊
作者: Liu, Zhanyu 1 ; Huang, Wenjiang 2 ; Mao, Guofu 4 ; Li, Cunjun 3 ; Xu, Xingang 3 ; Ding, Xiaodong 1 ; Shi, Jingjing 5 ; Zh 1 ;
作者机构: 1.Hangzhou Normal Univ, Inst Remote Sensing & Earth Sci, Hangzhou 311121, Zhejiang, Peoples R China
2.Key Lab Urban Wetland & Reg Change Zhejiang, Hangzhou 311121, Zhejiang, Peoples R China
3.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
4.Inst Agr Sci, Hangzhou 311202, Zhejiang, Peoples R China
5.Zhejiang Univ, Inst Agr Remote Sensing & Informat Technol, Hangzhou 310029, Peoples R China
关键词: Hyperspectral reflectance;Nitrogen fertilization rate;Pigment concentration;Rice
期刊名称:COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE V, PT II
ISSN: 1868-4238
年卷期: 2012 年 369 卷
页码:
收录情况: SCI
摘要: Photosynthetic pigment concentration has strong relationship with nitrogen (N) concentration which is an essential element of plant growth and plays an important role in estimating the net primary productivity (NPP) in terrestrial ecosystem research and precision agriculture (PA). In this study, hyperspectral reflectance and pigment concentration of the upper three leaves of rice crop (Oryza sativa L.) with five N fertilization rates were measured in the laboratory. The results showed that there was no significant difference between the leaf hyperspectral reflectance and pigment concentrations in the visible and near-infrared (NIR) spectral regions at each leaf position. But in the shortwave infrared (SWIR) region, the difference of each two of the three leaf positions was obviously significant at level 0.05. The integrated hyperspectral index MCARI/OSAVI([670,800]) had been proved to be better linear related with leaf pigment concentrations at different leave position. The result demonstrated that MCARI/OSAVI([670,800]) was a reliable and stable hyperspectral index for estimating pigment concentration at leaf level.
- 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
-
Rice yield and quality estimation coupling hierarchical linear model with remote sensing
作者:Xue, Hanyu;Xu, Xingang;Zhu, Qingzhen;Li, Yafeng;Xue, Hanyu;Xu, Xingang;Meng, Yang;Long, Huiling;Li, Heli;Song, Xiaoyu;Yang, Guijun;Yang, Min;Li, Yafeng;Jiang, Xiangtai
关键词:Hierarchical linear model; Rice yield and quality; Estimation model
-
Combining spectral and texture feature of UAV image with plant height to improve LAI estimation of winter wheat at jointing stage
作者:Zou, Mengxi;Zhou, Zixiang;Zou, Mengxi;Liu, Yu;Li, Cunjun;Meng, Haoran;Xing, Enguang;Ren, Yanmin;Fu, Maodong;Li, Cunjun
关键词:plant height; feature fusion; machine learning; deep learning; UAV; LAI; winter wheat
-
Putative Probiotic Ligilactobacillus salivarius Strains Isolated from the Intestines of Meat-Type Pigeon Squabs
作者:Tian, Shaoqi;Jiang, Yinhong;Han, Qiannan;Meng, Chuang;Ye, Manhong;Meng, Chuang;Ye, Manhong;Ji, Feng;Zhou, Bin
关键词:Pigeon; Probiotic; Lactic acid bacteria; Whole genome analysis; Molecular docking analysis
-
Hyperspectral Estimation of Chlorophyll Content in Grape Leaves Based on Fractional-Order Differentiation and Random Forest Algorithm
作者:Li, Yafeng;Xu, Xingang;Zhu, Yaohui;Xue, Hanyu;Li, Yafeng;Xu, Xingang;Wu, Wenbiao;Yang, Guijun;Yang, Xiaodong;Meng, Yang;Jiang, Xiangtai;Xue, Hanyu
关键词:different varieties of grapes; leaf chlorophyll content; hyperspectral remote sensing; data-processing; RFR
-
Corn Land Extraction Based on Integrating Optical and SAR Remote Sensing Images
作者:Meng, Haoran;Li, Cunjun;Liu, Yu;He, Wanying;Zou, Mengxi;Meng, Haoran;Gong, Yusheng;He, Wanying;Li, Cunjun;Liu, Yu;Zou, Mengxi
关键词:remote sensing; corn; classification; optical and SAR images
-
Object-Oriented Crop Classification Using Time Series Sentinel Images from Google Earth Engine
作者:Xue, Hanyu;Xu, Xingang;Yang, Guijun;Long, Huiling;Li, Heli;Yang, Xiaodong;Xu, Sizhe;Yang, Min;Li, Yafeng;Xue, Hanyu;Xu, Xingang;Zhu, Qingzhen;Xu, Sizhe;Li, Yafeng;Zhang, Jianmin;Yang, Yongan
关键词:Sentinel images; object-oriented; SNIC algorithm; random forest classification; support vector machine classification; Google Earth Engine



