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Towards large-area morphologic characterization of urban environments using the TanDEM-X mission and Sentinel-2

机译：使用TanDEM-X任务和Sentinel-2对城市环境进行大面积形态表征

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Analysis of urbanization processes and assessments of natural hazard risks, among others, require detailed information of the physical properties of urban environments. In this paper, we present a multistep procedure for morphologic characterization of urban environments by estimating average built-up height and share of built-up area for spatial processing units. Thereby, we rely on data from the TanDEM-X mission and Sentinel-2. These earth observation systems feature a notable tradeoff between a fairly high spatial resolution and large-area coverage and, thus, allow for spatially continuous and consistent analysis over urban environments. Experimental results were obtained for the city of Munich (Germany). Estimated average built-up height features a mean absolute error (MAE) of 2.7 m (i.e., less than one floor) and share of built-up area could be estimated with a MAE of 13.3 %, when compared to a reference data set.
机译：分析城市化过程和评估自然灾害风险等都需要有关城市环境物理特性的详细信息。在本文中，我们通过估计空间处理单元的平均建筑高度和建筑面积份额，提出了一种用于城市环境形态表征的多步骤程序。因此，我们依赖于TanDEM-X任务和Sentinel-2的数据。这些地球观测系统在相当高的空间分辨率和大面积覆盖范围之间进行了显着的权衡，因此可以在城市环境中进行空间连续且一致的分析。获得了慕尼黑市（德国）的实验结果。估计的平均建筑高度的平均绝对误差（MAE）为2.7 m（即小于一层），与参考数据集相比，建筑面积的份额估计为MAE为13.3％。

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