极化L波段和P波段SAR观测中土壤和植被的分解贡献

S. H. Alemohammad, T. Jagdhuber, M. Moghaddam, D. Entekhabi
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引用次数: 4

摘要

植被区土壤水分的微波反演信号对植被结构和介电常数的敏感性存在不确定性。在本研究中,我们提出了一个框架来开发联合有源l波段和有源p波段检索算法,以减少检索的不确定性。该算法侧重于土壤、植被和二面体分量的分解,以比较两个频率的观测结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decomposing soil and vegetation contributions in polarimetric L- and P- band SAR observations
Microwave-based retrieval of soil moisture in vegetated areas have uncertainties due the sensitivity of the signal to vegetation structure and dielectric constant. In this study, we propose a framework for developing a joint active L-band and active P-band retrieval algorithm to decrease the retrieval uncertainties. The algorithm focuses on the decomposition of soil, vegetation and dihedral components to compare the observations from the two frequencies.
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