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Dynamic monitoring of environmental quality in tourist attractions based on UAV multispectral remote sensing

Author

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  • Youhua Liu
  • Yixin Chen
  • Hao Cheng

Abstract

In order to overcome the problems of low recognition rate, high spatial accuracy error and low monitoring accuracy existing in traditional methods, this paper proposes a dynamic monitoring study of environmental quality in tourist scenic spots based on UAV multi-spectral remote sensing. In this method, DJI Matrice600Pro UAV equipped with multispectral camera is used to collect remote sensing images and preprocess them to obtain hyperspectral remote sensing images. The classification regression tree method is used to extract the environmental remote sensing information of scenic spots, and the camera calibration objective function is constructed according to the world coordinates corresponding to the feature points to dynamically monitor the environmental quality. The experimental results show that the recognition rate of remote sensing image is close to 100%, the spatial accuracy error is less than 4%, the system error data value is 0.15, and the monitoring accuracy is as high as 95%.

Suggested Citation

  • Youhua Liu & Yixin Chen & Hao Cheng, 2022. "Dynamic monitoring of environmental quality in tourist attractions based on UAV multispectral remote sensing," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 25(1/2), pages 49-64.
    • Handle: RePEc:ids:ijetma:v:25:y:2022:i:1/2:p:49-64
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