Correlation Analysis of Vegetation Indices Based on Multi-temporal Satellite Images and Unmanned Aerial Vehicle Images with Wheat Protein Contents

抄録

In this research, 4 Rapideye satellite images and 8 UAV (unmanned aerial vehicle) images are used covering 2 different varieties of winter wheat fields, in order to analyze the correlation among satellite images based normalized difference vegetation index (NDVI) with the UAV images based visible-band difference vegetation index (VDVI) and ground variable of grain protein contents. The results showed that NDVI related most to the grain protein content at the later stage of wheat growing season, 1 week prior to harvesting. And the linear-regression models for field No. 1 and field No. 2 of NDVI with VDVI showed good consistency at the early stage of wheat growing season, with the coefficient of determination R² = 0.62 and 0.86, respectively