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首页> 外文期刊>European Journal of Remote Sensing >Assessing the spatial variability of soil surface colors in northern Jordan using satellite data from Landsat-8 and Sentinel-2
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Assessing the spatial variability of soil surface colors in northern Jordan using satellite data from Landsat-8 and Sentinel-2

机译：利用Landsat-8和Sentinel-2的卫星数据评估北约旦北部土壤表面颜色的空间变异性

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In the semi-arid regions of northern Jordan, soil surface colors show gradual variation from west to east. The dominant soil color in the northwest is a dark reddish brown. Toward the east, lighter brown colors dominate, and colors change further to light yellow in the east. These changes coincide with a climatic gradient (mean annual precipitation). Earlier studies showed a close and possibly causal correlation of soil colors (redness), soil weathering intensity, and mean annual precipitation. However, these conclusions were based on a limited number of soil samples. Our study, in contrast, shows the regional variability of soil colors in the context of geomorphological conditions and the climatic gradient. Two thematic maps of soils surface colors depending on verified supervised classification of Landsat-8 and Sentinel-2 data were created. Results show a remarkable similarity of Support Vector Machines (SVM) classification of Landsat-8 and Sentinel-2 in the area, and confirm a strong correlation of red soil color distribution, mean annual precipitation, and geomorphological aspects (depressions leading to higher water availability and thus soil weathering intensity). Accordingly, this approach offers suitable tools for a quantitative investigation of soil color distribution under the consideration of climatic gradients and varying geomorphological conditions.
机译：在北约旦的半干旱地区，土壤表面颜色表现出西部到东部的逐步变化。西北部的主要土壤颜色是深红色的棕色。走向东方，浅棕色占主导地位，颜色进一步变化到东方浅黄色。这些变化与气候梯度（平均年降水）一致。早期的研究表明土壤颜色（发红），土风化强度和平均年降水量的紧密和可能因果关系。然而，这些结论是基于有限数量的土壤样品。相比之下，我们的研究表明了在地貌条件和气候梯度的背景下的土壤色彩的区域变异。创建了根据验证的Landsat-8和Sentinel-2数据的验证监督分类的两种土壤表面颜色的主题地图。结果表明，该地区Landsat-8和Sendinel-2的支持向量机（SVM）分类的显着相似性，并确认了红壤颜色分布，平均降水量和地貌方面的强烈相关性（凹陷导致较高的水可用性因此土风化强度）。因此，这种方法提供了在考虑气候梯度和不同地貌条件下进行定量调查土壤颜色分布的合适工具。

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