Journal of Food, Agriculture and Environment

Estimating harvest index of winter wheat from canopy spectral reflectance information

Author(s):

Heli Li ^{1, 2}, Yi Luo ^1*, Xiaoping Xue ³, Yujin Zhao ³, Hong Zhao ³, Feng Li ³

Recieved Date: 2011-03-09, Accepted Date: 2011-09-22

Abstract:

Harvest index (HI), ratio of grain yield to above-ground biomass, is a key parameter for crop yield prediction via remote sensing based on radiation use efficiency approach or crop simulation models. Thus, for an accurate estimation of grain yield, an accurate estimate of HI is very important. Experiments including five nitrogen treatments were conducted at field level to investigate the feasibility of estimating HI of winter wheat from canopy spectral reflectance information in present study. Total nine common vegetation indices (VIs), such as normalized difference vegetation index (NDVI), ratio vegetation index (RVI), transformed vegetation index (TVI), soil adjusted vegetation index (SAVI), modified soil adjusted vegetation index (MSAVI), renormalized difference vegetation index (RDVI), difference vegetation index (DVI), enhanced vegetation index (EVI) and green chlorophyll index (CI_green), were investigated in this work. Results demonstrated that estimating HI from canopy reflectance information based on the partitioning of crop activity before and after flowering can give good results but required long-term dataset of total growing season. Further analysis showed that HI had strong correlations with the accumulated values of VIs from anthesis to maturity period. Moreover, it was found that the correlation between HI and accumulated VI after anthesis was greatly improved by introducing another variable of VI at anthesis using binary regression analysis. The coefficients of determination (R²) of binary regression equations were higher than 0.80, and the root mean square deviations (RMSD) between the estimated HI and measured HI were as low as 0.04. It was suggested canopy spectral reflectance from anthesis to maturity had good performances on HI estimation. With short-term data requirement and good accuracy, the method based on VI dataset of anthesis-maturity period would be more favourable for large area application since the dataset can be easily collected by means of remote sensing.

Keywords:

Harvest index, spectral reflectance, vegetation indices, winter wheat

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Journal: Journal of Food, Agriculture and Environment
Year: 2011
Volume: 9
Issue: 3&4
Category: Agriculture
Pages: 420-425

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