.png){kind=icon}
返回
Effective Surface Roughness in Radar Ocean Backscattering
.png){kind=icon}
PRE
AI
DOI：10.1109/TGRS.2023.3306464.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this article, we proposed a modulated correlation function (MCF) to characterize the multiscale property of the sea surface and adopted it in the advanced integral equation model (AIEM) to calculate the radar backscattering. Comparisons of normalized radar backscattering cross section (NRBCS) with geophysical model functions (GMFs) predictions and radar measurements are conducted in various wind conditions. Good consistency and accuracy confirm the proposed model's accuracy and applicability in predicting radar backscattering. In addition, the relations between two modulation parameters and wind vectors are analyzed at the C-band. The effective correlation lengths determined from the MCF show strong wind dependence, besides the incident angle and frequency in the context of radar backscattering.
Keyword:
Advanced integral equation model (AIEM)
effective correlation length
multiscale rough surface
radar backscattering
期刊
IF:
8.6
论文数:
2.1W
被引数:
10.7W
机构
引用论文
Crystal structure of domain A of Thermus flavus 5S rRNA and the contribution of water molecules to its structure.png)
FEBS Letters
OAAI
FEBS LettersIF0
OAAI分享收藏分享收藏
查看更多内容