The invention discloses a
phyllostachys pubescens forest
remote sensing recognition method based on
satellite images containing red edge bands and phenological differences. The
phyllostachys pubescensforest
remote sensing recognition method comprises the following steps: step 1, selecting
satellite images containing red edge bands in spring and winter i5n recent two years after field investigation; 2, preprocessing the selected
satellite image to obtain a processed
satellite image; step 3, based on the preprocessed two-stage winter satellite images, calculating normalized difference
vegetation indexes NDVI of the two-stage winter satellite images respectively, and applying a threshold segmentation method to extract and obtain a
vegetation information graph; 4, based on the preprocessed two-stage spring satellite images, calculating a normalized moso bamboo index NMBI representing the difference between the two-stage spring satellite images, and then applying a threshold segmentation method to extract and obtain a moso bamboo information graph; and step 5, performing superposition analysis on the
vegetation information graph and the moso bamboo information graph to obtain a final moso bamboo forest distribution graph. The extraction method is simple, the extracted information is accurate, and the
spatial distribution information of the
phyllostachys pubescens forest can be mastered by effectively utilizing the
remote sensing image.