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The Remote Sensing Dynamic Monitoring of Land Sandy Desertification in Duolun County

机译:多伦县土地沙质荒漠化遥感动态监测

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To monitor the land sandy desertification dynamic change accurately in Duolun, the desertification was classified and evaluated based on the land use point of view and the evaluation index system based on land use was set up. TM image was decomposed by linear spectral mixture mode and the vegetation component of TM image was amended by the high-resolution satellite image to extract the information of vegetation. The occupation ratio of bare sandy land was obtained using linear spectrum mixed model. Soil moisture was retrieved by thermal inertia according to land use types. The substitute index of remote sensing was used to obtain the content of iron oxide. And the code of soil texture was obtained by view interpretation. Based on the current desertification assessment method, quantitative remote sensing information model on the basis of the pixel was developed. The results shows that the area of moderate desertification increases 37272hm2, and the area of mild, strong and extremely strong desertification reduces 18594hm2, 5399.1hm2, 15210.2hm2 respectively. The area with on desertification increases 3237.9 hm2. The desertification of the whole county has been eased and the ecological environment has been improved.
机译:为了准确监测多伦县土地沙漠化的动态变化,基于土地利用的角度对荒漠化进行分类和评价,建立了基于土地利用的评价指标体系。通过线性光谱混合模式分解TM图像,并通过高分辨率卫星图像对TM图像的植被成分进行修正,以提取植被信息。利用线性光谱混合模型获得了裸露沙地的占地率。根据土地利用类型,通过热惯性恢复土壤水分。利用遥感替代指数求得氧化铁含量。并通过视图解释获得了土壤质地的代号。基于目前的荒漠化评估方法,建立了基于像素的定量遥感信息模型。结果表明,中度荒漠化面积增加了37272hm2,轻度,强硬和极强荒漠化面积分别减少了18594hm2、5399.1hm2和15210.2hm2。荒漠化面积增加3237.9 hm2。全县荒漠化得到缓解,生态环境得到改善。

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