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Soil Clay Content Mapping Using a Time Series of Landsat TM Data in Semi-Arid Lands

机译:使用Landsat TM数据的时间序列绘制半干旱地区的土壤黏土含量

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Clay content (fraction 2 µm) is one of the most important soil properties. It controls soil hydraulic properties like wilting point, field capacity and saturated hydraulic conductivity, which in turn control the various fluxes of water in the unsaturated zone. In our study site, the Kairouan plain in central Tunisia, existing soil maps are neither exhaustive nor sufficiently precise for water balance modeling or thematic mapping. The aim of this work was to produce a clay-content map at fine spatial resolution over the Kairouan plain using a time series of Landsat Thematic Mapper images and to validate the produced map using independent soil samples, existing soil map and clay content produced by TerraSAR-X radar data. Our study was based on 100 soil samples and on a dataset of four Landsat TM data acquired during the summer season. Relationships between textural indices (MID-Infrared) and topsoil clay content were studied for each selected image and were used to produce clay content maps at a spatial resolution of 30 m. Cokriging was used to fill in the gaps created by green vegetation and crop residues masks and to predict clay content of each pixel of the image at 100 m grid spatial resolution. Results showed that mapping clay content using a time series of Landsat TM data is possible and that the produced clay content map presents a reasonable accuracy (R2 = 0.65, RMSE = 100 g/kg). The produced clay content map is consistent with existing soil map of the studied region. Comparison with clay content map generated from TerraSAR-X radar data on a small area with no calibration point revealed similarities in topsoil clay content over the largest part of this extract, but significant differences for several areas. In-situ observations at those locations showed that the Landsat TM mapping was more consistent with observations than the TerraSAR-X mapping.
机译:粘土含量(分数<2 µm)是最重要的土壤特性之一。它控制着土壤的水力学特性,如枯萎点,田间持水量和饱和的水力传导率,进而控制了非饱和区的各种水通量。在我们的研究场地突尼斯中部的凯鲁万平原上,现有的土壤图既不详尽也不十分精确,无法用于水平衡模型或专题图。这项工作的目的是使用Landsat Thematic Mapper图像的时间序列在凯鲁万平原上以精细的空间分辨率生成粘土含量图,并使用独立的土壤样本,现有土壤图和TerraSAR生产的粘土含量来验证生成的图-X雷达数据。我们的研究基于100个土壤样品和夏季采集的四个Landsat TM数据集。对于每个选定的图像,研究了质地指数(MID-红外)与表土黏土含量之间的关系,并用于绘制空间分辨率为30 m的黏土含量图。 Cokriging用于填补由绿色植被和农作物残留物遮罩造成的间隙,并预测在100 m网格空间分辨率下图像每个像素的粘土含量。结果表明,可以使用Landsat TM数据的时间序列来绘制粘土含量图,并且生成的粘土含量图具有合理的精度(R 2 = 0.65,RMSE = 100 g / kg)。产生的粘土含量图与研究区域的现有土壤图一致。与从TerraSAR-X雷达数据生成的没有校准点的小范围内的粘土含量图进行比较,发现该提取物最大部分的表土粘土含量相似,但在几个区域上存在显着差异。在这些位置上进行的现场观测表明,与TerraSAR-X测绘相比,Landsat TM测绘与观测更加一致。

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