文献类型： 外文期刊

第一作者： Yang Fei-fei

作者： Yang Fei-fei;Du Ming-zhu;Liu Da-zhong;Li Shi-juan;Liu Sheng-ping;Liu Tao;Yang Tian-le;Wang Qi-yuan

作者机构：

关键词： winter wheat; hyperspectral remote sensing; leaf water content; new vegetation index; BP neural network

期刊名称：JOURNAL OF INTEGRATIVE AGRICULTURE （ 影响因子：2.848； 五年影响因子：2.979 ）

ISSN： 2095-3119

年卷期： 2021 年 20 卷 10 期

页码：

收录情况： SCI

摘要： Waterlogging is becoming an obvious constraint on food production due to the frequent occurrence of extremely high-level rainfall events. Leaf water content (LWC) is an important waterlogging indicator, and hyperspectral remote sensing provides a non-destructive, real-time and reliable method to determine LWC. Thus, based on a pot experiment, winter wheat was subjected to different gradients of waterlogging stress at the jointing stage. Leaf hyperspectral data and LWC were collected every 7 days after waterlogging treatment until the winter wheat was mature. Combined with methods such as vegetation index construction, correlation analysis, regression analysis, BP neural network (BPNN), etc., we found that the effect of waterlogging stress on LWC had the characteristics of hysteresis and all waterlogging stress led to the decrease of LWC. LWC decreased faster under severe stress than under slight stress, but the effect of long-term slight stress was greater than that of short-term severe stress. The sensitive spectral bands of LWC were located in the visible (VIS, 400-780 nm) and short-wave infrared (SWIR, 1400-2500 nm) regions. The BPNN Model with the original spectrum at 648 nm, the first derivative spectrum at 500 nm, the red edge position (lambda r), the new vegetation index RVI (437, 466), NDVI (437, 466) and NDVI (747, 1 956) as independent variables was the best model for inverting the LWC of waterlogging in winter wheat (modeling set: R-2 =0.889, RMSE=0.138; validation set: R-2 =0.891, RMSE=0.518). These results have important theoretical significance and practical application value for the precise control of waterlogging stress.

分类号：