Forest canopy spectral seasonal phase change monitoring method based on medium-resolution image

The invention discloses a forest canopy spectral seasonal phase change monitoring method based on a medium-resolution image, and the method comprises the steps: dividing the same forest stand into a plurality of subareas with the same size, and randomly selecting a certain number of subareas as a sample region; acquiring multi-year remote sensing image data of the sample area as sample data; preprocessing the sample data; extracting spectral information in the preprocessed sample data, and respectively calculating normalized vegetation indexes of the forest canopy on each image shooting date in many years based on the spectral information; superposing the normalized vegetation index of each image shooting date in the forest canopy for many years to one year; introducing a logistic curve and improving the logistic curve; and fitting the normalized vegetation indexes superimposed to one year by utilizing the improved logistic curve to obtain a seasonal phase change curve of the forest canopy spectrum. According