Estimation of Surface Characteristics Using GNSS LH-Reflected Signals: Land Versus Water

被引：36
|
作者：
Jia, Yan [1 ]
Savi, Patrizia [1 ]
Canone, Davide [2 ,3 ]
Notarpietro, Riccardo [1 ,4 ]
机构：
[1] Politecn Torino, Elect & Telecommun Dept, I-10129 Turin, Italy
[2] Politecn Torino, Dipartimento Interateneo Sci Progetto & Polit Ter, I-10125 Turin, Italy
[3] Univ Turin, I-10125 Turin, Italy
[4] EUMETSAT, D-64295 Darmstadt, Germany
来源：
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING | 2016年 / 9卷 / 10期
关键词：
Global Navigation Satellite System (GNSS) reflectometry; permittivity retrieval; signal-to-noise ratio (SNR); SOIL-MOISTURE; REFLECTOMETRY; RETRIEVAL; ALGORITHM;
D O I：
10.1109/JSTARS.2016.2584092
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Estimating the characteristics of soil surface represents a significant area in applications such as hydrology, climatology, and agriculture. Signals transmitted from Global Navigation Satellite Systems (GNSSs) can be used for soil monitoring after reflection from the Earth's surface. In this paper, the feasibility of obtaining surface characteristics from the power ratio of left-hand (LH) reflected signal-to-noise ratio (SNR) over direct righthand (RH) is investigated. The analysis was done regardless of the surface roughness and the incoherent components of the reflected power. First, the analysis was carried out on data collected during several in situ measurements in controlled environments with known characteristics. Then, further data were collected by a GNSS receiver prototype installed on a small aircraft and analyzed. This system was calibrated on the basis of signals reflected from water. The reflectivity and the estimated permittivity showed good correlation with the types of underlying terrain.
引用
收藏
页码：4752 / 4758
页数：7
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