Hyperspectral Prediction Model for Maize Leaf SPAD in the Whole Growth Period
CHEN Zhi-qiang, WANG Lei*, BAI You-lu, YANG Li-ping, LU Yan-li, WANG He, WANG Zhi-yong
Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences/Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture, Beijing 100081, China
Abstract:In the present article, a 2-year maize field experiment for the whole growth period was conducted. Hyperspectral data and chlorophyll contents (SPAD) of maize leaves were measured respectively using portable spectrometer and SPAD-502 chlorophyll meter. Various spectral parameters were selected to build construct prediction models for maize leaf SPAD in annual growth periods based on correlation analysis of the two factors, and detailed validation and evaluation were made. The results showed that there was little difference between the mean curves of spectral reflectance or its first derivative in the two years; the sensitive areas were basically the same about the correlation coefficient curves of leaf SPAD and spectral reflectance or its first derivative; prediction models built with spectral parameters based on first derivative were unstable; prediction models built with LCI,DSI(R550around, R680around) and DSI(R680around, R710around) were all in good conditions, and maize leaf SPAD could be effectively predicted.
Key words:Maize leaf;Soil plant analysis development;Hyperspectral data;Prediction model
陈志强,王 磊*,白由路,杨俐苹,卢艳丽,王 贺,王志勇 . 整个生育期玉米叶片SPAD高光谱预测模型研究 [J]. 光谱学与光谱分析, 2013, 33(10): 2838-2842.
CHEN Zhi-qiang, WANG Lei*, BAI You-lu, YANG Li-ping, LU Yan-li, WANG He, WANG Zhi-yong . Hyperspectral Prediction Model for Maize Leaf SPAD in the Whole Growth Period . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(10): 2838-2842.
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