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

Authors: Nan Wang

Addresses: Department of Tourism Management, Tianjin Vocational Institute, Tianjin, 300350, China

Abstract: 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.

Keywords: remote sensing images; tourist attraction; ecological environment; monitoring; mean shift filtering algorithm; nonlinear support vector machine.

DOI: 10.1504/IJSD.2025.145809

International Journal of Sustainable Development, 2025 Vol.28 No.2/3, pp.252 - 269

Received: 12 Jun 2023
Accepted: 23 Oct 2023
Published online: 25 Apr 2025 *

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