Evaluation of soil heavy metal pollution remediation effect based on remote sensing and mapping technology in cultivated land

Hao Shen and Yi-Xin Jing

International Journal of Environmental Technology and Management, 2024, vol. 27, issue 4/5/6, 384-399

Abstract: In order to overcome various problems such as low quality of surveying and mapping images, high error rate of indicator weight calculation, and low accuracy in traditional methods, an evaluation method of soil heavy metal pollution remediation effect based on remote sensing and mapping technology in cultivated land is proposed. The remote sensing images are obtained using drones, and the images are filtered and radiometrically corrected. The GLCM texture features of the images are determined, and the evaluation index data is determined by combining with random forest. The weight of the index is determined by principal component analysis, and the evaluation results are obtained by combining with fuzzy comprehensive evaluation method. The experimental results show that the quality of the remote sensing images obtained in this paper is good, with a mean error rate of 5.5% for the calculation of index weight, and a maximum evaluation accuracy rate of 97.2%.

Keywords: remote sensing and mapping technology; cultivated land; heavy metal pollution; remediation effect; drones; texture features; random forest; fuzzy comprehensive evaluation method. (search for similar items in EconPapers)
Date: 2024
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