A drought monitoring method in the Yellow River basin based on boundary extraction of remote sensing images

Yang Liu, Xiaodong Shi, Ge Zhang, Shaofeng Zhao and Ze Wang

International Journal of Environmental Technology and Management, 2024, vol. 27, issue 1/2, 23-36

Abstract: In order to improve the extraction accuracy of remote sensing image boundary information and improve the fitting degree between drought monitoring results and actual results, this study designed a drought monitoring method in the Yellow River basin based on boundary extraction of remote sensing images. ETM+ Landsat satellite was selected to collect real-time remote sensing images comprehensively. After geometric correction and radiometric correction, edge information is extracted from remote sensing image data. Then the spatial inversion process of remote sensing index and surface temperature characteristics is established, and the drought monitoring level of the Yellow River basin is set after the elevation correction. According to the experiment, the accuracy of the method to extract the image boundary information is always above 91.7%, and the fitting degree between the obtained drought monitoring results and the actual results is always above 0.94, indicating that the method effectively achieves the design expectation.

Keywords: Yellow River basin; drought conditions; remote sensing monitoring; remote sensing image; boundary extraction. (search for similar items in EconPapers)
Date: 2024
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