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The research on the fitting vegetation index of vegetation degeneration measurement in arid region

机译:干旱区植被退化测量的拟合植被指数研究

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The ground is intensively heterogeneous and fragmentized, and the vegetation is very sparse in arid region, so the selection of the vegetation index of vegetation degeneration measurement is the research hotspot on vegetation remote sensing. In this study, the project area of controlling the sources of dust storms affecting Beijing and Tianjin was selected as the research object. The vegetation indexes of vegetation degeneration measurement fitting the research area were studied from the tow aspects on reducing the impact of soil background and the ability of detecting low coverage vegetation. The results have shown that GEMI had a maximum effect to reduce the soil impact, and NDVI had the strongest ability to detect low coverage vegetation. This research deems that NDVI is the best selection to measure vegetation degeneration in arid region, and GEMI is the following selection.
机译:地面高度异质,破碎,干旱地区植被稀疏,因此选择植被退化量度的植被指数是植被遥感研究的热点。在本研究中,以控制影响北京和天津的沙尘暴源头的项目区域为研究对象。从两个方面研究了适合研究区域的植被退化测量的植被指数,以减少土壤背景的影响和发现低覆盖率植被的能力。结果表明,GEMI具有最大的减少土壤影响的作用,而NDVI具有最强的探测低覆盖植被的能力。这项研究认为,NDVI是衡量干旱地区植被退化的最佳选择,而GEMI是以下选择。

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