文献类型： 外文期刊
作者： Chen Peng-fei 1 ; Tremblay, Nicolas 2 ; Wang Ji-hua 1 ; Vigneault, Philippe 2 ; Huang Wen-jiang 3 ; Li Bao-guo 1 ;
作者机构： 1.China Agr Univ, Coll Resources & Environm Sci, Beijing 100193, Peoples R China
2.Agr & Agrifood Canada, Hort Res & Dev Ctr, St Jean, PQ J3B 3E6, Canada
3.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
关键词： Vegetation index; RTVI; Fresh biomass; Corn; Wheat
期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）
ISSN： 1000-0593
年卷期： 2010 年 30 卷 2 期
页码：
收录情况： SCI
摘要： The objective of the present study is to propose a new vegetation index for corn canopy fresh biomass estimation, which improves the ability to accurately estimate high biomass levels by remote sensing technology. For this purpose, hyperspectral reflectance data of corn canopies were collected using a ground-based spectroradiometer during different field campaigns in a region of Quebec (Canada), from 2004 to 2008. Corresponding fresh biomass values were obtained by destructive measurements, and a hyperspectral image was also acquired using the Compact Airborne Spectrographic Imager (CASI) in 2005. A new biomass index named red-edge triangular vegetation index (RTVI) was designed and compared to existing indices used for fresh biomass estimation. The results showed that RTVI was the best vegetation index for predicting canopy fresh biomass, with sustained sensitivity at high fresh biomass levels. The best regression model between RTVI and canopy fresh biomass was the power fit, with determination coefficient (R-2) of 0. 96. With the validation by CASI imagery in 2005, good results were obtained. The relationship between CAST predicted biomass and actual biomass was 0. 58 (R-2), with the RMSE of 0. 44 kg center dot m(-2).
- 相关文献
作者其他论文 更多>>
-
Study on the Predication Modeling of COD for Water Based on UV-VIS Spectroscopy and CNN Algorithm of Deep Learning
作者：Jia Wen-shen;Liang Gang;Wang Ji-hua;Jia Wen-shen;Zhang Heng-zhi;Ma Jie;Liu Xin;Jia Wen-shen;Liang Gang;Wang Ji-hua;Jia Wen-shen;Liang Gang;Wang Ji-hua
关键词：Ultraviolet visible spectrum; Convolution neural network; Chemical oxygen demand; Prediction model
-
Global sensitivity analysis of wheat grain yield and quality and the related process variables from the DSSAT-CERES model based on the extended Fourier Amplitude Sensitivity Test method
作者：Li Zhen-hai;Li Zhen-hai;Xu Xin-gang;Jin Xiu-liang;Liu Hai-long;Wang Ji-hua
关键词：global sensitivity analysis; DSSAT; EFAST; wheat; yield; grain protein content
-
Leaf chlorophyll content retrieval of wheat by simulated RapidEye, Sentinel-2 and EnMAP data
作者：Cui Bei;Zhao Qian-jun;Huang Wen-jiang;Ye Hui-chun;Cui Bei;Cui Bei;Huang Wen-jiang;Ye Hui-chun;Song Xiao-yu;Zhou Xian-feng
关键词：leaf chlorophyll content; RapidEye; Sentinel-2; EnMAP; red-edge band
-
Design and Implementation of National Standard Grade I Water Purification System Based on UV-Vis
作者：Zhang Heng-zhi;Ma Jie;Jia Wen-shen;Jia Wen-shen;Wang Ji-hua;Jia Wen-shen;Wang Ji-hua
关键词：UV-Vis; Grade I water; Purification system; Multiple parameter
-
An X-Ray Fluorescence Spectroscopy Pretreatment Method for Detection of Heavy Metal Content in Soil
作者：Ren Dong;Shen Jun;Ren Shun;Wang Ji-hua;Ren Dong;Shen Jun;Ren Shun;Wang Ji-hua;Wang Ji-hua;Lu An-xiang
关键词：XRF; Pretreatment; Soil heavy metal; Least square regression; Transform forward interval partial least squares
-
微波杀菌对草莓罐头的杀菌效果研究
作者：BI Yan-Di;毕延娣;WANG Ji-Hua;王纪华;田晓琴;TIAN Xiao-Qin
关键词：草莓罐头;微波杀菌;杀菌效果
-
Research on Rapid and Non-Destructive Identification of Aging Wheat Based on ATR-Terahertz Spectroscopy Combined with PLS-DA
作者：Wang Dong;Pan Li-gang;Li An;Jin Xin-xin;Ma Zhi-hong;Wang Ji-hua;Wang Dong;Pan Li-gang;Li An;Jin Xin-xin;Ma Zhi-hong;Wang Ji-hua;Liu Long-hai;Jiang, Justin
关键词：Terahertz spectroscopy;Attenuated total reflection;Wheat;Composite score;Discriminant analysis
