This article focuses on bistatic coherence as an additional feature complementing amplitudes in classification space, permitting to monitor temporal changes in water extent on the wetland comprising surface water and inundated vegetation. The research was conducted on a herbaceous wetland. The TanDEM-X images were acquired during the science phase in bistatic mode with long perpendicular baselines. Two different sets of observations were computed: polarimetric amplitudes (PAs) and interferometric coherences in single-pass mode. Next, the datasets composed of a multitemporal stack of images were classified using object-based image analysis. The main outcome of the experiment is that bistatic coherences increased greatly the overall accuracy (OA) of expected thematic classes. The OA shows that thematic categories were classified with higher accuracy when the bistatic coherence complemented PAs. The OA is greater than 85% for all analyzed datatakes. The accuracy achieved using amplitudes only was higher than 70% but varied overtime. The bistatic coherence at X-band turned out to be really helpful in mapping high vegetation, which can be an indicator that this methodology can be directly used in the monitoring of common reed mowing or mapping highly invasive vegetation. Additionally, we could observe that short inundated vegetation was also mapped correctly, allowing flooded areas in this floodplain to be mapped with great precision throughout the growing season.

中文翻译：

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使用来自TanDEM-X任务的振幅和双基地相干数据对河岸湿地进行制图和淹没监测

本文关注双站相干性，将其作为补充分类空间中幅度的附加功能，从而可以监视包括地表水和淹没植被在内的湿地上水域的时间变化。该研究是在草本湿地上进行的。TanDEM-X图像是在科学阶段以双基地模式采集的，具有较长的垂直基线。计算了两组不同的观察结果：极化幅度（PAs）和单通模式下的干涉相干性。接下来，使用基于对象的图像分析对由多时相图像堆栈组成的数据集进行分类。实验的主要结果是，双基地连贯性大大提高了预期主题课程的整体准确性（OA）。OA显示，当双静态连贯性补充PA时，主题类别的分类精度更高。对于所有分析的数据采集，OA均大于85％。仅使用幅度即可达到的精度高于70％，但会随时间变化。事实证明，X波段的双基地相干性确实有助于绘制高植被图，这可能表明该方法可直接用于监测普通芦苇割草或绘制高侵入性植被图。此外，我们可以观察到，短时的淹没植被也可以正确绘制地图，从而使该洪泛区中的淹没区域在整个生长季节都能以高精度绘制。仅使用幅度即可达到的精度高于70％，但会随时间变化。事实证明，X波段的双基地相干性确实有助于绘制高植被图，这可能表明该方法可直接用于监测普通芦苇割草或绘制高侵入性植被图。此外，我们可以观察到，短时被淹没的植被也能正确绘制地图，从而使该洪泛区的淹没区域在整个生长季节都能以高精度绘制。仅使用幅度即可达到的精度高于70％，但会随时间变化。事实证明，X波段的双基地相干性确实有助于绘制高植被图，这可能表明该方法可直接用于监测普通芦苇割草或绘制高侵入性植被图。此外，我们可以观察到，短时被淹没的植被也能正确绘制地图，从而使该洪泛区的淹没区域在整个生长季节都能以高精度绘制。