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首页> 外文期刊>Mitteilungen der Deutsche Bodenkundliche Gesellschaft >Identification of soil patterns with LANDSAT data in the central Namibian savannah region
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Identification of soil patterns with LANDSAT data in the central Namibian savannah region

机译：利用LANDSAT数据识别纳米比亚中部大草原地区的土壤模式

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摘要

It could be shown that the distribution of two types of soils (vertisols, leptosols, 6% of sampled profiles) could be accurately predicted from the LANDSAT-TM data directly. In contrast, for the dominant remaining share of the soils the total predictability of soil properties like pH, elemental composition and salinity is lower than 22%. Based on the wet scene with the LANDSAT-TM data a rough estimate of vegetation coverage and biomass production is possible. But the different plant communities within the thorn-bush savannah which have some structural similarities could not be discriminated satisfactorily. Thus the approach to indirectly identify soil features by vegetation mapping has failed. Hence the use of LANDSAT-TM data for the mapping of soil properties in the plain savannah region of central Namibia is inappropriate. For the future a correlation to hyper spectral air-born data with higher spatial resolution is planned with the same set of soil data. As one part of the low predictability is caused by the soil properties, esp. the occurrence of a loose coarse sand top layer for many profiles an improvement on the remote sensing data will not necessarily lead to a better prognosis of soil properties. Thus, for the regionalization of soil features classical mapping techniques seem to be inevitable.
机译：可以证明，可以直接从LANDSAT-TM数据准确预测两种土壤的分布（松散，细小溶胶，采样剖面的6％）。相反，对于土壤的主要剩余份额，土壤性质（如pH，元素组成和盐分）的总可预测性低于22％。基于具有LANDSAT-TM数据的潮湿场景，可以粗略估算植被覆盖率和生物量产量。但是，不能令人满意地辨别荆棘大草原内具有某些结构相似性的不同植物群落。因此，通过植被测绘间接识别土壤特征的方法失败了。因此，使用LANDSAT-TM数据绘制纳米比亚中部平原大草原地区土壤特性的图谱是不合适的。将来，计划使用同一组土壤数据与具有更高空间分辨率的高光谱气载数据相关。低可预测性的一部分是由土壤特性引起的，尤其是土壤。对于许多剖面而言，松散的粗砂顶层的出现，遥感数据的改善并不一定会导致土壤特性的更好预测。因此，对于土壤特征的区域化，经典的制图技术似乎是不可避免的。

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