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Separability of Dominant Crop Cultures in Southern Germany Using TerraSAR-X Data

机译:使用Terrasa-X数据南部占优势作物培养的可分离性

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The research aims at differentiating dominant crop cultures in two test sites of Baden-Wuert- temberg, Southern Germany by creating crop signatures from radar backscatter values. It seeks to establish whether the crop signatures collected in one test site are comparable or transferable to another test site. The two test sites are located in different agro-ecological zones as described in the climate maps of the “Klimaatlas Baden-Wuerttemberg”. TerraSAR-X images (VV polarization) for the months of July and August 2010 were overlaid with crop fields’ ground truth data. As pre-processing steps, radiometric correction was carried out on the images in order to normalize the topographical effects. Classification of the crops was performed on a field scale, according to the mean and standard deviation of their backscatter values. From the results, potatoes could be uniquely differentiated from the cereals in the two different test sites for both the months of July and August 2010. Cereals (rapes, maize, barley, wheat and oats) had comparable backscatter values and their differentiation varied from one test site to another. The results’ accuracy obtained with a maximum kappa coefficient of 0.82 agrees with results of a similar research carried out in North East Germany.
机译:该研究旨在通过创建来自雷达反向散射值的作物签名,在德国南部的Baden-Wuert-Temberg的两个测试网站中区分显性作物培养。它寻求建立在一个测试网站中收集的作物签名是可比的或可转移到另一个测试场所。这两个测试站点位于不同农业生态区中,如“Klimaatlas Baden-Wuerttemberg”的气候图中所述。 2010年7月和2010年8月的Terrasar-X图像(VV极化)覆盖着作物领域的地面真理数据。作为预处理步骤,在图像上执行辐射校正,以便归一化地形效果。根据其反向散射值的平均值和标准偏差,在场比例上进行作物的分类。从结果来看,土豆可以在7月和2010年8月的几个月和2010年8月的两个不同测试场所的谷物中独特地区分。谷物(强奸,玉米,大麦,小麦和燕麦)具有可比的反向散射值,并且它们的差异变化了一个测试网站到另一个。获得最大Kappa系数0.82获得的结果的准确性同意在德国东北部进行的类似研究结果。

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