Predicting leaf chlorophyll content and its nonuniform vertical distribution of summer maize by using a radiation transfer model

归一化差异植被指数 高光谱成像 遥感 反演(地质) 小波 叶面积指数 数学 小波变换 算法 环境科学 计算机科学 地质学 植物 人工智能 生物 古生物学 构造盆地
作者
Xiaobin Xu,Zhenhai Li,Xiaodong Yang,Guijun Yang,Cong Teng,Hongchun Zhu,Shuaibing Liu
出处
期刊:Journal of Applied Remote Sensing [SPIE]
卷期号:13 (03): 1-1 被引量:13
标识
DOI:10.1117/1.jrs.13.034505
摘要

Remote sensing technology is an effective method of monitoring chlorophyll content, an important parameter for vegetation health. The chlorophyll information based on spectral information needs to consider the vertical characteristics of plants. Hyperspectral features [spectral reflectance (SR), spectral indices, and wavelet coefficients (WC)] were first selected to construct the cost function in the PROSPECT model-optimized inversion to improve the accuracy and efficiency of leaf chlorophyll content (LCC) inversion. Second, the sensitivity of LCC to leaf SR, vegetation index (VI), and WC were analyzed. Finally, LCC was inverted by the PROSPECT model using the iterative inversion algorithm, and the chlorophyll content of the vertical profile in maize was monitored. The following results were obtained. (1) According to the extended Fourier amplitude sensitivity test (EFAST) used to construct the cost-function inversion of LCC, the normalized difference vegetation index canste (NDVIcanste) and WC based on EFAST method which was used to construct the cost-function inversion of LCC, yielded higher accuracy than other spectral features. These two methods, combined with sensitivity analysis can provide accurate inversion results by weakening the influence of other parameters on spectral changes and eliminating the interference information between bands. (2) The cost function based on NDVIcanste in the LCC optimization exhibited overestimation, whereas WC can solve the problem efficiently. The continuous wavelet transform can extract weak information among the spectra, whereas the other two methods of SR and VI cannot easily obtain this information. (3) The vertical distribution of LCC in different maize varieties and treatments is in accordance with the parabola law, but the chlorophyll content of the different leaf positions on the vertical profile is somewhat different. The results reflect the vertical distribution of chlorophyll content through the radiation transfer of leaves, thus providing a theoretical basis for their further combination.
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