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Remote sensing dynamic analysis of regional desertification evolution based on geological modelling

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  • Leiyu Zhang

Abstract

In order to accurately study the evolution of desertification areas, this paper proposes a remote sensing dynamic analysis of regional desertification evolution based on geological modelling. Firstly, combined with wavelet transform, denoise the remote sensing images obtained through EOS-MODIS. Then, the key frame image of remote sensing image is determined based on information entropy. Finally, the desertification information in remote sensing images is interpreted and combined with Arc GIS software to construct a three-dimensional geological model of the desertification area. After analysis, it can be seen that the NDVI and MSAVI vegetation indices in the study area have been decreasing year by year from 2019 to 2021. The area of severe desertification increased by 3,909.08 hm2, with a growth percentage of 57.95%. The single land use dynamic degree of severe desertification area is 4.65%, indicating that the degree of desertification in the region is developing in a serious direction.

Suggested Citation

  • Leiyu Zhang, 2024. "Remote sensing dynamic analysis of regional desertification evolution based on geological modelling," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 27(4/5/6), pages 370-383.
    • Handle: RePEc:ids:ijetma:v:27:y:2024:i:4/5/6:p:370-383
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