Monitoring Leaf Nitrogen Status in Rice with Canopy Spectral Reflectance

2004 ◽  
Vol 96 (1) ◽  
pp. 135 ◽  
Author(s):  
Lihong Xue ◽  
Weixing Cao ◽  
Weihong Luo ◽  
Tingbo Dai ◽  
Yan Zhu
Keyword(s):  
Spectral Reflectance ◽  
Leaf Nitrogen ◽  
Nitrogen Status ◽  
Canopy Spectral Reflectance

Quantitative relationships of leaf nitrogen status to canopy spectral reflectance in rice

2007 ◽  
Vol 58 (11) ◽  
pp. 1077 ◽  
Author(s):  
Yan Zhu ◽  
Dongqin Zhou ◽  
Xia Yao ◽  
Yongchao Tian ◽  
Weixing Cao
Keyword(s):  
Spectral Reflectance ◽  
Vegetation Indices ◽  
Leaf Nitrogen ◽  
Canopy Reflectance ◽  
Rice Cultivars ◽  
Canopy Spectral Reflectance ◽  
Mean Square Errors ◽  
Non Destructive ◽  
N Status ◽  
Leaf N

Non-destructive and quick methods for assessing leaf nitrogen (N) status are helpful for precision N management in field crops. The present study was conducted to determine the quantitative relationships of leaf N concentration on a leaf dry weight basis (LNC) and leaf N accumulation per unit soil area (LNA) to ground-based canopy spectral reflectance in rice (Oryza sativa L.). Time-course measurements were taken on canopy spectral reflectance, LNC, and leaf dry weights, with 4 field experiments under different N application rates and rice cultivars across 4 growing seasons. All possible ratio vegetation indices (RVI), difference vegetation indices (DVI), and normalised difference vegetation indices (NDVI) of key wavebands from the MSR16 radiometer were calculated. The results showed that LNC, LNA, and canopy reflectance spectra all markedly varied with N rates, with consistent change patterns among different rice cultivars and experiment years. There were highly significant linear correlations between LNC and canopy reflectance in the visible region from 560 to 710 nm (|r| > 0.85), between LNA and canopy reflectance from 760 to 1100 nm (|r| > 0.79), and from 460 to 710 nm wavelengths (|r| > 0.70). Among all possible RVI, DVI, and NDVI of key wavebands from the MSR16 radiometer, NDVI of 1220 and 710 nm was most highly correlated to LNC, and RVI of 950 and 660 nm and RVI of 950 and 680 nm were the best spectral indices for quantitative monitoring of LNA in rice. The average relative root mean square errors (RRMSE) between the predicted LNC and LNA and the observed values with independent data were no more than 11% and 25%, respectively. These results indicated that the canopy spectral reflectance can be potentially used for non-destructive and real-time monitoring of leaf N status in rice.

Estimation of Canopy Leaf Nitrogen Status Using Imaging Spectrometer and Digital Camera in Cotton

2011 ◽  
Vol 37 (6) ◽  
pp. 1039-1048 ◽  
Author(s):  
Fang-Yong WANG ◽  
Ke-Ru WANG ◽  
Shao-Kun LI ◽  
Shi-Ju GAO ◽  
Chun-Hua XIAO ◽  
...  
Keyword(s):  
Digital Camera ◽  
Leaf Nitrogen ◽  
Nitrogen Status ◽  
Imaging Spectrometer

scholarly journals Potential of UAV-Based Active Sensing for Monitoring Rice Leaf Nitrogen Status

2018 ◽  
Vol 9 ◽  
Author(s):  
Songyang Li ◽  
Xingzhong Ding ◽  
Qianliang Kuang ◽  
Syed Tahir Ata-UI-Karim ◽  
Tao Cheng ◽  
...  
Keyword(s):  
Leaf Nitrogen ◽  
Active Sensing ◽  
Nitrogen Status ◽  
Rice Leaf

Leaf Nitrogen Status as a Main Contributor to Yield Improvement of Soybean Cultivars

2011 ◽  
Vol 103 (2) ◽  
pp. 441-448 ◽  
Author(s):  
Jian Jin ◽  
Xiaobing Liu ◽  
Guanghua Wang ◽  
Judong Liu ◽  
Liang Mi ◽  
...  
Keyword(s):  
Leaf Nitrogen ◽  
Nitrogen Status ◽  
Yield Improvement ◽  
Main Contributor ◽  
Soybean Cultivars

scholarly journals Canopy Spectral Reflectance Feature and Leaf Water Potential of Sugarcane Inversion

2012 ◽  
Vol 25 ◽  
pp. 595-600 ◽  
Author(s):  
Haibo Chen ◽  
Pei Wang ◽  
Jiuhao Li ◽  
Jingdong Zhang ◽  
Luxiang Zhong
Keyword(s):  
Water Potential ◽  
Leaf Water Potential ◽  
Spectral Reflectance ◽  
Leaf Water ◽  
Canopy Spectral Reflectance

scholarly journals Estimation of Leaf Nitrogen Content from Spectral Characteristics of Rice Canopy

2001 ◽  
Vol 1 ◽  
pp. 81-89 ◽  
Author(s):  
Chwen-Ming Yang
Keyword(s):  
Nitrogen Content ◽  
Linear Relationship ◽  
Spectral Reflectance ◽  
Spectral Characteristics ◽  
Leaf Nitrogen ◽  
Leaf Nitrogen Content ◽  
Nitrogen Application ◽  
Spectral Signatures ◽  
Growing Period ◽  
Application Rates

Ground-based remotely sensed reflectance spectra of hyperspectral resolution were monitored during the growing period of rice under various nitrogen application rates. It was found that reflectance spectrum of rice canopy changed in both wavelength and reflectance as the plants developed. Fifteen characteristic wavebands were identified from the apparent peaks and valleys of spectral reflectance curves, in accordance with the results of the first-order differentiation, measured over the growing season of rice. The bandwidths and center wavelengths of these characteristic wavebands were different among nitrogen treatments. The simplified features by connecting these 15 characteristic wavelengths may be considered as spectral signatures of rice canopy, but spectral signatures varied with developmental age and nitrogen application rates. Among these characteristic wavebands, the changes of the wavelength in band 11 showed a positive linear relationship with application rates of nitrogen fertilizer, while it was a negative linear relationship in band 5. Mean reflectance of wavelengths in bands 1, 2, 3, 5, 11, and 15 was significantly correlated with application rates. Reflectance of these six wavelengths changed nonlinearly after transplanting and could be used in combination to distinguish rice plants subjected to different nitrogen application rates. From the correlation analyses, there are a variety of correlation coefficients for spectral reflectance to leaf nitrogen content in the range of 350-2400 nm. Reflectance of most wavelengths exhibited an inverse correlation with leaf nitrogen content, with the largest negative value (r = �0.581) located at about 1376 nm. Changes in reflectance at 1376 nm to leaf nitrogen content during the growing period were closely related and were best fitted to a nonlinear function. This relationship may be used to estimate and to monitor nitrogen content of rice leaves during rice growth. Reflectance of red light minimum and near-infrared peak and leaf nitrogen content were correlated nonlinearly.

A non‐destructive and real‐time method of monitoring leaf nitrogen status in wheat

2007 ◽  
Vol 50 (5) ◽  
pp. 935-942 ◽  
Author(s):  
X. Yao ◽  
W. Feng ◽  
Y. Zhu ◽  
Y. C. Tian ◽  
W. X. Cao
Keyword(s):  
Real Time ◽  
Leaf Nitrogen ◽  
Nitrogen Status ◽  
Non Destructive

scholarly journals Genome-wide association mapping of soybean chlorophyll traits based on canopy spectral reflectance and leaf extracts

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Arun Prabhu Dhanapal ◽  
Jeffery D. Ray ◽  
Shardendu K. Singh ◽  
Valerio Hoyos-Villegas ◽  
James R. Smith ◽  
...  
Keyword(s):  
Association Mapping ◽  
Spectral Reflectance ◽  
Genome Wide Association ◽  
Leaf Extracts ◽  
Genome Wide ◽  
Canopy Spectral Reflectance
Sign in / Sign up

Export Citation Format

Share Document