Accounting for Surface Roughness Scattering in the Characterization of Forest Litter with Ground-Penetrating Radar
Accounting for Surface Roughness Scattering in the Characterization of Forest Litter with Ground-Penetrating Radar
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DOI：
10.3390/rs11070828
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发表时间：
2019-04
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影响因子：
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通讯作者：
F. André;F. Jonard;M. Jonard;H. Vereecken;S. Lambot
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文献类型：
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作者：
F. André;F. Jonard;M. Jonard;H. Vereecken;S. Lambot
森林凋落物的准确特征对地表模拟和森林地区遥感观测的解译具有重要意义。由于森林凋落物具有较大的空间异质性，利用微波技术遥感时必须考虑凋落物层的散射。在这里，我们将全波形雷达模型与表面粗糙度模型相结合，对在森林凋落物上进行的控制和原位实验中获得的超宽带探地雷达（GPR）数据进行了分析。在这两个实验中，所提出的建模方法都成功地描述了雷达数据，与之前没有直接考虑粗糙度的研究相比，该方法有所改进。GPR数据反演还提供了近期凋落物（OL层）和部分分解破碎凋落物（of层）相对介电常数的可靠估计，对照实验的平均值分别为1.35和3.8，原位实验的平均值分别为3.9和7.5。这些结果表明，探地雷达技术在有效、无创地表征森林有机质层方面具有广阔的应用前景。
Accurate characterization of forest litter is of high interest for land surface modeling and for interpreting remote sensing observations over forested areas. Due to the large spatial heterogeneity of forest litter, scattering from litter layers has to be considered when sensed using microwave techniques. Here, we apply a full-waveform radar model combined with a surface roughness model to ultrawideband ground-penetrating radar (GPR) data acquired above forest litter during controlled and in situ experiments. For both experiments, the proposed modeling approach successfully described the radar data, with improvements compared to a previous study in which roughness was not directly accounted for. Inversion of the GPR data also provided reliable estimates of the relative dielectric permittivity of the recently fallen litter (OL layer) and of the fragmented litter in partial decomposition (OF layer) with, respectively, averaged values of 1.35 and 3.8 for the controlled experiment and of 3.9 and 7.5 for the in situ experiment. These results show the promising potentialities of GPR for efficient and non-invasive characterization of forest organic layers.