EFFECTS OF ROUGH TOPOGRAPHY IN GNSS-R: A PARAMETRIC STUDY BASED ON A DIGITAL ELEVATION MODEL

被引：0
|
作者：
Carreno-Luengo, Hugo [1 ]
Luzi, Guido [1 ]
Crosetto, Michele [1 ]
机构：
[1] CTTC, CERCA, Castelldefels, Barcelona, Spain
来源：
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) | 2019年
关键词：
GNSS-R; CyGNSS; topography; digital elevation model; elevation angle; soil moisture content;
D O I：
10.1109/igarss.2019.8898381
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Understanding the effects of Earth's surface topography in Global Navigation Satellite Systems Reflectometry (GNSS-R) spaceborne data is essential to correct experimental observations so as to achieve accurate Soil Moisture Content (SMC) determination and biomass monitoring. A comprehensive set of observables obtained from Delay Doppler Maps (DDMs) generated on-board Cyclone Global Navigation Satellite Systems (CyGNSS) are evaluated as a function of several topographic parameters derived from a Digital Elevation Model (DEM). Terrain Ruggedness Index (TRI) and profile curvature have a moderate-to-strong impact on CyGNSS-derived trailing edge (TE) and reflectivity F for low elevation angles 0, [20, 3010 r-0.39, TE 0.39, r_eurv_ r 0.41, r_eurv_TE On the other hand, local slopes have an influence on F and TE for a constant curvature level, while both observables are independent of the slopes for a constant TRI.
引用
收藏
页码：8663 / 8666
页数：4
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