Quantifying biochemical variables of corn by hyperspectral reflectance at leaf scale  

作　　者：Qiu-xiang YI Jing-feng HUANG Fu-min WANG Xiu-zhen WANG 

机构地区：[1]Institute of Remote Sensing and lnformation Technology, Zhejiang University, Hangzhou 310029, China [2]Institute of Zhejiang Meteorology, Hangzhou 310004, China

出　　处：《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》2008年第5期378-384,共7页浙江大学学报（英文版）B辑（生物医学与生物技术）

基　　金：Project supported by the National Natural Science Foundation of China (No. 40271078);the Basic Research Program of Science and Technology Department of China (No. 2003DEA2C010-13)

摘　　要：To further develop the methods to remotely sense the biochemical content of plant canopies,we report the results of an experiment to estimate the concentrations of three biochemical variables of corn,i.e.,nitrogen(N),crude fat(EE) and crude fiber(CF) concentrations,by spectral reflectance and the first derivative reflectance at fresh leaf scale. The correlations between spectral reflectance and the first derivative transformation and three biochemical variables were analyzed,and a set of estimation models were established using curve-fitting analyses. Coefficient of determination(R2),root mean square error(RMSE) and relative error of prediction(REP) of estimation models were calculated for the model quality evaluations,and the possible opti-mum estimation models of three biochemical variables were proposed,with R2 being 0.891,0.698 and 0.480 for the estimation models of N,EE and CF concentrations,respectively. The results also indicate that using the first derivative reflectance was better than using raw spectral reflectance for all three biochemical variables estimation,and that the first derivative reflectances at 759 nm,1954 nm and 2370 nm were most suitable to develop the estimation models of N,EE and CF concentrations,respectively. In addition,the high correlation coefficients of the theoretical and the measured biochemical parameters were obtained,especially for nitrogen(r=0.948).To further develop the methods to remotely sense the biochemical content of plant canopies, we report the results of an experiment to estimate the concentrations of three biochemical variables of corn, i.e., nitrogen （N）, crude fat （EE） and crude fiber （CF） concentrations, by spectral reflectance and the first derivative reflectance at fresh leaf scale. The correlations between spectral reflectance and the first derivative transformation and three biochemical variables were analyzed, and a set of estimation models were established using curve-fitting analyses. Coefficient of determination （R2）, root mean square error （RMSE） and relative error of prediction （REP） of estimation models were calculated for the model quality evaluations, and the possible opti- mum estimation models of three biochemical variables were proposed, with R2 being 0.891, 0.698 and 0.480 for the estimation models of N, EE and CF concentrations, respectively. The results also indicate that using the first derivative reflectance was better than using raw spectral reflectance for all three biochemical variables estimation, and that the first derivative reflectances at 759 nm, 1954 nm and 2370 nm were most suitable to develop the estimation models of N, EE and CF concentrations, respectively. In addition, the high correlation coefficients of the theoretical and the measured biochemical parameters were obtained, especially for nitrogen （r=0.948）.

关 键 词：Biochemical variables CORN The first derivative spectral reflectance Spectral reflectance 

分 类 号：S513[农业科学—作物学]