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Arid Land cover change trend analysis with series of satellite images for desertification monitoring in Northern Africa

机译:利用一系列卫星图像进行干旱土地覆盖变化趋势分析,以监测北非的荒漠化

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A time series of 27 Landsat images (MSS and TM) over an ecological study area in Tunisia has been georeferenced and resampled. Conversion of DNs into ground reflectance has been done in two steps: full atmospheric correction of the most recent images and regression method with pseudo-invariant features detected through statistical analysis. Three different approaches of change detection have been tested : change in classes through time, vegetation and colour indices linear trend analysis and Fourier decomposition. Strong degradation and then recovery has been evidenced during the 30 years time span, demonstrating the necessity of long term monitoring for desertification assessment.
机译:已对突尼斯生态研究区域上的27张Landsat影像(MSS和TM)进行了时间序列化和重新采样。将DNs转换为地面反射率的过程分为两个步骤:对最新图像进行完全大气校正,以及通过统计分析检测到具有伪不变特征的回归方法。测试了三种不同的变化检测方法:通过时间,植被和颜色指数进行的类变化,线性趋势分析和傅里叶分解。在30年的时间跨度中,已证明有强烈的退化然后恢复的趋势,这表明需要长期监测以进行荒漠化评估。

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