Estimation of leaf chlorophyll content in winter wheat using variable importance for projection (VIP) with hyperspectral data

Peng He; Xingang Xu; Baolei Zhang; Zhenhai Li; Haikuan Feng; Guijun Yang; Yongfeng Zhang

doi:10.1117/12.2195465

14 October 2015 Estimation of leaf chlorophyll content in winter wheat using variable importance for projection (VIP) with hyperspectral data

Peng He, Xingang Xu, Baolei Zhang, Zhenhai Li, Haikuan Feng, Guijun Yang, Yongfeng Zhang

Author Affiliations +

Proceedings Volume 9637, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVII; 963708 (2015) https://doi.org/10.1117/12.2195465
Event: SPIE Remote Sensing, 2015, Toulouse, France

Abstract

Accurate estimation of leaf chlorophyll content (LCC) has great significance in study of the winter wheat, which is important for indicating nutrition status and photosynthetic. Selecting the closed related variable is the key to LCC monitoring. The variable importance for projection (VIP), applied to little samples and strong correlation data, is one of variable selection methods. In this study, VIP was used to select spectral variables, which includes reflectance spectra, first derivative spectra, vegetation indices and absorption or reflectance position features. The grey relational analysis (GRA) was used as a comparison. The results showed that (1) the VIP technology could be used to variable selection and had a strong correlation. (2) Reflectance spectra with the VIP method displayed the best accuracy, with R₂ and RMSE of 0.42 and 0.663mg/g, respectively. (3) Vegetation indices using GRA had higher estimation than VIP method, with R₂ and RMSE of 0.52 and 0.607 mg/g, respectively. (4) The VIP had more superiority and higher accuracy than the GRA in all kinds of hyperspectral features except vegetation indices. Therefore, the VIP technology could be used to the estimation of LCC and had a relatively good accuracy.

Citation Download Citation

Peng He, Xingang Xu, Baolei Zhang, Zhenhai Li, Haikuan Feng, Guijun Yang, and Yongfeng Zhang "Estimation of leaf chlorophyll content in winter wheat using variable importance for projection (VIP) with hyperspectral data", Proc. SPIE 9637, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVII, 963708 (14 October 2015); https://doi.org/10.1117/12.2195465

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