 Remote sensing dynamic analysis of regional desertification evolution based on geological modellingLeiyu Zhang International Journal of Environmental Technology and Management, 2024, vol. 27, issue 4/5/6, 370-383 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. Keywords: geological modelling; desertification; remote sensing images; wavelet transform; vegetation index. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijetma:v:27:y:2024:i:4/5/6:p:370-383 Access Statistics for this article More articles in International Journal of Environmental Technology and Management from Inderscience Enterprises Ltd |
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