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Assessing and mapping the severity of soil erosion using the 30-m Landsat multispectral satellite data in the former South African homelands of Transkei

机译:在Transkei前南非家乡的30-M Landsat MultiSpectral卫星数据评估和绘制土壤侵蚀的严重程度

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Soil erosion is increasingly recognised as the principal cause of land degradation, loss of agricultural land area and siltation of surrounding water waterbodies. Accurate and up-to-date soil erosion mapping is key in understanding its severity if these negative impacts are to be minimised and affected areas rehabilitated. The aim of this work was to map the severity of soil erosion, based on the 30-m Landsat series multispectral satellite data in the former South African homelands of Transkei between the year 1994 and 2010. Further, the study assessed if the observed soil erosion trends and morphology that existed in this area could be explained by biophysical factors (i.e. slope, stream erosivity, topographic wetness index) retrieved from the 30-m ASTER Digital Elevation Model (DEM). The results of this study indicate that the Transkei region experiences varying erosion levels from moderate to very severe. The large portion of the land area under the former homelands was largely affected by rill erosion with approximately 74% occurring in the year 1984 and 54% in 2010. The results also revealed specific thresholds of soil erosion drivers. These include steeper areas (>= 30 degrees), high stream power index greater than 2.0 (stream erosivity), relatively lower vegetation cover (<= 15%) and low topographic wetness index (<= 5%). The results of this work demonstrate the severity of soil erosion in the Southern African former homelands of Transkei for the year 1984 and 2010. Additionally, this work has demonstrated the significance of the 30-m Landsat multispectral sensor in examining soil erosion occurrence at a regional scale where in-depth field work still remains a challenging task. (C) 2016 Elsevier Ltd. All rights reserved.
机译:土壤侵蚀越来越被认为是土地退化的主要原因,农业土地面积丧失和周围水上水的淤积。如果要最小化和受影响的地区恢复这些负面影响,则准确和最新的土壤侵蚀映射是理解其严重程度的关键。这项工作的目的是映射土壤侵蚀的严重程度,基于1994年和2010年的Transkei的前南非家乡的30米Landsat系列多光谱卫星数据。此外,如果观察到的土壤侵蚀,则评估该领域存在的趋势和形态可以通过从30-M紫色数字高度型号(DEM)中检索的生物物理因素(即斜坡,流侵蚀性,地形湿度指数)来解释。该研究的结果表明,Transkei地区经历了从中等到的变化水平变化。前祖国的大部分土地面积大大受到佝偻病侵蚀的影响,在1984年的大约74%的情况下,2010年发生了大约74%。结果还揭示了土壤侵蚀司机的特定阈值。这些包括陡峭的区域(> = 30度),高流功率指数大于2.0(流腐蚀性),植被覆盖率相对较低(<= 15%)和低地形湿度指数(<= 5%)。这项工作的结果表明,1984年和2010年的Transkei南部非洲前家乡土壤侵蚀的严重程度。此外,这项工作表明了30米Landsat多光谱传感器在检查区域土壤侵蚀事件方面的意义刻度深入现场工作仍然是一个具有挑战性的任务。 (c)2016 Elsevier Ltd.保留所有权利。

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