The invention relates to the technical field of
wetland damage identification, in particular to a coastal
wetland damage dynamic identification method and
system based on a
remote sensing technology, and provides the following scheme: calling multispectral
remote sensing data through a
cloud computing platform, performing cloud masking,
atmospheric correction and resolution
resampling, and generating a high-quality
remote sensing image
data set; collecting ground feature samples, and constructing a
random forest classification model based on spectrums,
vegetation indexes,
water body indexes and texture features; applying the classification model to a remote sensing image, generating a coastal
wetland classification chart, and distinguishing a natural wetland from a damaged area; through
time sequence analysis, ground feature changes of the same spatial position are identified, and dynamic evolution characteristics, including change amplitude, rate and conversion relation, of the damaged area of the wetland are extracted; and evaluating the precision of the classification model by using the
confusion matrix, and optimizing the model according to a
verification result. According to the invention,
automation and precision of
dynamic monitoring of wetland damage are improved, and scientific support is provided for wetland protection and management.