Crsc Research & Design Institute Group Co., Ltd.

Hanyu Liu

Jian Li

Wanqiang Zhang

Lin Lin

Hongjie Liu

Wenhui Zhang

Wenlong Song

Yizhu Lu

Wenjing Lu

Xiuhua Chen

Li Zhao

Rongjie Gui

Yangjun Shi

Xuecheng Xing

Zongqi Xu

Chaopeng Yue

Wenhua Yao

Hongfei Liu

Yingfeng Xie

Shize Xu

A rapid monitoring and identification method for winter wheat drought levels includes: 1) obtaining multispectral images and ground-measured LAI through UAV-based multi-payload low-altitude remote sensing technology, and calculating vegetation indices such as Normalized Difference Vegetation Index (NDVI), Difference Vegetation Index (DVI), Ratio Vegetation Index (RVI), Enhanced Vegetation Index (EVI), Optimized soil adjusted vegetation index (OSAVI) and Transformed Chlorophyll Absorption Reflectance Index; 2) establishing regression equations between the calculated vegetation indices and measured LAI for different growth stages, and selecting the optimal model equation for each growth stage; 3) using the optimal model equation to invert the LAI of winter wheat at various growth stages, and calibrating the LAI thresholds for different drought stress levels; 4) acquiring the multispectral images of target plot through real-time monitoring, calculating the required vegetation indices, inverting to obtain the LAI value, and comparing it with the threshold to determine the current drought stress level.

Rapid drought monitoring and identification method for winter wheat based on UAV measurements of leaf area index

Growing community of inventors

Beijing, China

Hanyu Liu