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Scattering from Random Rough Surfaces at X and Ku band for Global Remote Sensing of Terrestrial Snow

Zhu, Jiyue and Tsang, Leung and Liao, Tien-Hao (2021) Scattering from Random Rough Surfaces at X and Ku band for Global Remote Sensing of Terrestrial Snow. In: 2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI). IEEE , Piscataway, NJ, pp. 1115-1116. ISBN 978-1-7281-4670-6. https://resolver.caltech.edu/CaltechAUTHORS:20220217-686383000

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Abstract

Snow water equivalent (SWE) retrievals based on X and Ku band radar observations have been studying over several decades. The physical basis of such approach is that snow volume scattering at X and Ku tends to increase with SWE. However, for small to moderate SWE, radar signals at X and Ku band are affected by surface scattering from the underlying soil, which degrades the sensitivity. It is important to estimate the soil rough surface scattering and subtract out its contributions to enhance the correlation of radar observations and SWE. In this paper, we present results of soil surface scattering based on the numerical solutions of Maxwell's equations in 3D (NMM3D) full wave simulations. In the past, full wave simulations have been limited with kh < 1.5 . In plains, rms heights of rough soil surfaces are up to 3 cm, which is kh = 10 at 17.2 GHz for Ku band. In this paper, we present NMM3D results for kh up to 15. We simulated two types of rough surface: “constant ratio” which means the ratio of correlation length to rms height are between 5 to 20, and “limited correlation lengths” meaning correlation lengths limited to 10 cm, Simulation results show that that backscattering increase with kh and then saturate at kh = 2.5 for rough surfaces with constant ratio. However, for rough surfaces with correlation lengths limited to 10 cm, backscattering first increase with kh to reach the peak and then decrease.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/APS/URSI47566.2021.9704233DOIArticle
ORCID:
AuthorORCID
Tsang, Leung0000-0003-3192-2799
Liao, Tien-Hao0000-0002-0678-5545
Additional Information:© 2021 IEEE.
Subject Keywords:rough surfaces scattering; snow remote sensing; NMM3D
DOI:10.1109/aps/ursi47566.2021.9704233
Record Number:CaltechAUTHORS:20220217-686383000
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20220217-686383000
Official Citation:J. Zhu, L. Tsang and T. -H. Liao, "Scattering from Random Rough Surfaces at X and Ku band for Global Remote Sensing of Terrestrial Snow," 2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI), 2021, pp. 1115-1116, doi: 10.1109/APS/URSI47566.2021.9704233
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:113486
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:17 Feb 2022 21:48
Last Modified:17 Feb 2022 21:48

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