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

机译:Duolun County陆地沙漠荒漠化的遥感动态监测

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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:为了在Duolun准确地监测土地砂荒荒漠化动态变化,荒漠化根据土地利用点进行分类和评估,并建立了基于土地使用的评估指标体系。 TM图像通过线性光谱混合物模式分解,并且通过高分辨率卫星图像修正TM图像的植被组分,以提取植被的信息。使用线性谱混合模型获得裸砂土的占用率。根据土地使用类型,通过热惯性检出土壤水分。遥感的替代指数用于获得氧化铁的含量。通过观点解释获得土壤纹理准则。基于当前的荒漠化评估方法,开发了基于像素的定量遥感信息模型。结果表明,温和的荒漠化面积增加37272HM2,温和,强大荒漠化的面积分别减少了18594HM2,5399.1HM2,15210.2HM2。荒漠化的地区增加了3237.9 HM2。整个县的荒漠化已经缓解,生态环境得到了改善。

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