Polarimetric synthetic‐aperture radar (SAR) remote sensing has been widely used for structural and biophysical parameters retrieval of forest vegetation. It has been found that the combination of polarimetric properties and interferometric characteristics of SAR remote sensing provides the capacity to retrieve forest height. The prime objective of this research was to investigate the potential of Polarimetric Synthetic Aperture Radar Tomography (PolTomSAR) for the forested and river region of Mondah National Park, Gabon. SAR tomography is an improved method for acquiring the height of geographical features. UAVSAR L‐band fully polarimetric multibaseline data have been used in this research (1.275 GHz). SAR data and ground data over the area have been collected in the year 2016. With the superresolution‐based Capon algorithm, multiple scatterers located at a different vertical position in the same azimuth range cell has been resolved and reconstructed. This work provides a framework for Capon‐based tomographic processing of multibaseline UAVSAR data for vertical profile retrieval of forest vegetation. The height profile of the forest patch having sparse, as well as dense vegetation, were retrieved. The vertical profile for a single azimuthal bin was obtained in range direction. The tomographic profile obtained was cross‐checked with the field‐measured forest height for the 16 locations in Mondah National Park, Gabon. To check the accuracy of the applied method, the statistical method of R² and root‐mean‐square error (RMSE) is employed. The obtained RMSE of the result is 4.21 m and R² is 0.92. The obtained results were concluded to find the potential of the Capon algorithm for the tomographic reconstruction of UAVSAR data.

中文翻译：

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UAVSAR层析成像技术，用于加蓬蒙达国家公园热带森林的垂直剖面生成

极化合成孔径雷达（SAR）遥感已广泛用于森林植被的结构和生物物理参数检索。已经发现，SAR遥感的偏振特性和干涉特性的组合提供了检索森林高度的能力。这项研究的主要目的是研究极化合成孔径雷达层析成像（PolTomSAR）在加蓬蒙达国家公园森林和河流地区的潜力。SAR层析成像是一种获取地理特征高度的改进方法。UAVSAR大号这项研究（1.275 GHz）中使用了频段完全极化的多基线数据。该区域的SAR数据和地面数据已于2016年收集。借助基于超分辨率的Capon算法，已解析和重建了位于同一方位范围单元中不同垂直位置的多个散射体。这项工作为多基线UAVSAR数据的基于Capon的层析成像处理提供了框架，以便对森林植被进行垂直剖面检索。检索具有稀疏和茂密植被的森林斑块的高度轮廓。在范围方向上获得了单个方位角仓的垂直轮廓。将获得的断层图像与加蓬蒙达国家公园中16个地点的实地测得的森林高度进行了交叉核对。²，采用均方根误差（RMSE）。结果的RMSE为4.21m，R ²为0.92。得出的结论是结论，以发现Capon算法在UAVSAR数据的层析成像重建中的潜力。