The invention discloses a
tree species classification method, device and equipment based on SAR (
Synthetic Aperture Radar) and optical
remote sensing time sequence data, and the method comprises the steps: selecting a part of forest classes in a research region as a training region in advance, taking the rest forest classes as
verification data, and collecting the optical
remote sensing image timesequence data and the SAR image
time sequence data according to the training data; And preprocessing the optical
remote sensing image data and the SAR image data, and performing
feature extraction respectively to obtain forest
shift time sequence change features. And performing clustering analysis on the
time sequence change characteristics, and establishing a
tree species classification
system.And according to the multi-feature
decision tree model and the tree classification
system, constructing a
decision rule of a single classification time
sequence feature index or a multi-classificationfeature index, and according to the
decision rule, carrying out step-by-step classification on the
tree species in the predetermined area to obtain a tree species
decision tree classification model.Verifying the result of the tree species
decision tree classification model according to the
verification data, evaluating the precision, and adjusting the decision tree threshold value according to the precision
evaluation result to update the tree species decision tree classification model. And extracting a tree
species distribution map according to the updated tree species decision tree classification model.