C波段雷达数据遥感深雪:体积和表面散射

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS Pub Date : 2021-07-11 DOI:10.1109/IGARSS47720.2021.9554866

Jiyue Zhu, L. Tsang, T. Liao

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引用次数: 1

摘要

哨兵1 C波段雷达观测在测绘雪深或雪水当量(SWE)方面的能力最近得到了证明。然而，C波段雷达特征积雪反演的理论模型仍然缺乏。本文研究了积雪的体积散射和雪/土界面的表面散射。积雪是由计算机生成的，包括密集的冰聚集体。体积散射采用致密介质辐射传递(DMRT)模型计算，表面散射采用Oh模型计算。在表面散射特性良好的情况下，可以从雷达观测中减去表面散射的贡献，以提高体散射对SWE的灵敏度。该研究将有助于提高C波段SWE检索，并为检索算法提供理论依据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Remote Sensing of Deep Snow With C Band Radar Data: Volume and Surface Scattering

The capability of Sentinel 1 C band radar observations for mapping snow depth or snow water equivalent (SWE) has been demonstrated recently. However, theoretical models of C band radar signatures for snow retrieval are still lacking. In this paper, we study the volume scattering of snowpack and the surface scattering from the snow/soil interface. The snowpack is computer generated including dense ice aggregates. The volume scattering is calculated by the dense media radiative transfer (DMRT) model and the surface scattering is computed with the Oh model. With well characterized surface scattering, surface scattering contributions can be subtracted from radar observations to enhance sensitivity of volume scattering to SWE. The study will help improve C band SWE retrieval and provide the theoretical basis for retrieval algorithms.

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来源期刊

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

CiteScore

1.20

自引率

0.00%

发文量