Prediction technology of Chinese fir forest ecological value based on remote sensing inversion

Accurate prediction of ecological value of Chinese fir forest is of great significance to promote Chinese fir cultivation and forest value. To improve the prediction accuracy of Chinese fir forest ecological value, enhance the comprehensiveness of prediction results, and reduce the prediction time, this paper analyzes the prediction technology of Chinese fir forest ecological value based on remote sensing inversion. First, the study area was selected to conduct remote sensing inversion modeling of Chinese fir forest biomass and generate sample data. Then, invest is used to establish the estimation model of Chinese fir forest ecological value, and the prediction model of Chinese fir forest ecological value is constructed to realize the prediction of Chinese fir forest ecological value. The experimental results show that the prediction accuracy of this method is higher, the prediction time is shorter, and the prediction results are more comprehensive, which shows that this method effectively improves the existing research methods.

Automated summary

This paper analyzes the prediction technology of Chinese fir forest ecological value based on remote sensing inversion, and proposes a method to predict the ecological value of Chinese fir forest. The experimental results show that this method has advantages in prediction accuracy, time, and comprehensiveness.