Homogeneity models estimating cotton aboveground fresh biomass of the different canopy style based on hyperspectral parameters

文献类型： 外文期刊

第一作者： Bai, Junhua

作者： Bai, Junhua;Li, Shaokun

作者机构：

关键词： cotton canopy;AGB;hyperspectral parameters;homogeneity models

期刊名称：PROGRESS OF INFORMATION TECHNOLOGY IN AGRICULTURE

ISSN：

年卷期： 2007 年

页码：

收录情况： SCI

摘要： AGB (aboveground fresh biomass) is one of the most important parameters of the crop condition monitored with remote sensing. Hyper spectral remote sensing with the fine spectrum information becomes the efficient method estimating the vegetation AGB. The research was conducted in Xinjiang, the largest cotton planting region of China. The paper analyzed the correlation between the cotton AGB and reflective spectrum and the first derivative spectrum, and the variation coefficient of the waveband reflectance. According to the analysis above, all of 23 parameters, including the hyper spectral reflectance, the first derivative spectrum, parameters and normalization vegetation indexes were established. And then the estimation models on cotton AGB of relaxing and compact canopy style were established and tested respectively. The tested results showed that F901, [ 901,502], [ 901 629], [ 901 672] among the reflective spectral parameters and D525, D956, D1019, D1751 among the first derivative spectral parameters had the homogenous effect on different cotton canopy style, and the determination coefficients of the models above all arrived at the significant level of 0.99 confidence interval. At last, the tested results of the homogeneity models for different canopies style indicated the parameters of [ 901, 502], [ 901, 629], [ 901 672] have more satisfying veracity than others, and the relative errors are as 17.0, 16.3 and 16.7% correspondingly; in contrast, the estimation veracity of the first derivative spectrum parameters of single waveband is low.

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