Monitoring of ecological environment change in tourist attractions based on remote sensing images

Monitoring the changes in the ecological environment of tourist attractions is of great significance for protecting the environment, guiding tourism planning, promoting sustainable development, etc. Therefore, a monitoring method of ecological environment change in tourist attractions based on remote sensing images is proposed. Landsat TM remote sensing images were obtained for tourist attractions and geometric correction was performed. The mean shift filtering algorithm was used to denoise the remote sensing images, and the denoising results were segmented at multiple scales. Nonlinear support vector machines were used to classify the remote sensing images, and ecological indices such as biological abundance index, vegetation coverage index, and remote sensing ecological index were determined for monitoring environmental changes. The experimental results show that the monitoring results of this method have a small difference with the actual results, and the calculation time of the monitoring results varies within the range of 0.2-0.5 s.