Study on non-destructive estimation of nitrogen concentration of water hyacinth by hyperspectral data

文献类型： 外文期刊

第一作者： Wang, Jingjing

作者： Wang, Jingjing;Sun, Ling;Liu, Huazhou;Wang, Jingjing

作者机构：

关键词： invasive species;water hyacinth;nitrogen concentration;hyperspectral;reflectance

期刊名称：2016 FIFTH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS)

ISSN： 2334-3168

年卷期： 2016 年

页码：

收录情况： SCI

摘要： This study researched the estimation methods of nitrogen concentration of water hyacinth by hyperspectral remote sensing data. The spectral reflectance characteristics were analyzed based on field experiments consisting of different nitrogen levels in three growing seasons. This study investigated the bands and hyperspectral characteristics parameters sensitive to nitrogen concentration through correlative analysis and established estimation models of water hyacinth nitrogen concentration. The results showed that some hyperspectral parameters had the significant correlation with nitrogen concentration of water hyacinth which were the reflectance of green peak (R-g), the amplitude of blue edge (D-b), the amplitude of yellow edge (D-y), the amplitude of red edge (D-r), the area of blue edge (S-Db), the area of yellow edge (S-Dy) and the area of red edge (S-Dr) respectively. The D-y had the best correlative relationship with water hyacinth nitrogen concentration and the correlative coefficient (R) was -0.85. The estimation models build by sensitive hyperspectral parameters had been verified the precision respectively and the linear regression model based on Dy were highly significant with the (RMSE) as 0.21% and (MAPE) as 3.29%. The results of this study provided theoretical basis and technology approach for monitoring nitrogen concentration of water hyacinth by hyperspectral remote sensing.

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