Growth monitoring of winter wheat in Beijing area based on HJ-1A HSI data

Carbon to nitrogen ratio is the key factor of wheat growth. In this paper, the hyperspectral image(HSI)of environment and disaster monitoring and forecasting of small satellite constellation A (HJ-1A) in wheat turning green stage was acquired, and the in-situ wheat canopy spectral reflectance, leaf nitrogen content, leaf sugar content, as well as others physical and chemical parameters of winter wheat in Beijing were measured synchronously. The red edge parameters were extracted from the in-situ canopy spectral reflectance, and the correlation analysis between the red edge parameters and physical and chemical parameters of winter wheat were carried on. The models based on red edge position and red edge width to predict leaf sugar content and leaf nitrogen content respectively were constructed. Further, the red edge parameters were extracted from the HSI reflectance which simulated by inverted Gaussian model. Then, the models were used to predict the leaf nitrogen content, leaf sugar content in HSI. Finally, the map of carbon to nitrogen ratio was obtained combining with winter wheat planting map to realize the growth monitoring of winter wheat in Beijing.