Abstract
The surface-reflected signals from Global Navigation satellites (GNSS) contain a wealth of terrain information, which enable the extraction of deformations of the Earth's surface by bistatic Interferometric Synthetic Aperture Radar (InBSAR). However, the impact of vegetation on surface deformation measurement in GNSS-based InBSAR requires further investigation. In this paper, an initial trial of the evaluation of the deformation measurement efficacy of the GNSS-InBSAR is carried out. A methodological framework of this study considered multiple factors is proposed. Within vegetated landscapes, the interference coherence is particularly compromised due to the seasonal growth and decay of vegetation. Simultaneously, the intricate variety, complex structures, and stochastic distribution of vegetation impede the establishment of a comprehensive vegetation reflection model, thereby posing challenges to the retrieval of surface deformation. Moreover, a data acquisition experiment of Beidou Navigation Satellites (BDS) is designed and conducted.
| Original language | English |
|---|---|
| Pages (from-to) | 2806-2811 |
| Number of pages | 6 |
| Journal | IET Conference Proceedings |
| Volume | 2023 |
| Issue number | 47 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | IET International Radar Conference 2023, IRC 2023 - Chongqing, China Duration: 3 Dec 2023 → 5 Dec 2023 |
Keywords
- GNSS-based InBSAR
- deformation measurement
- experimental design
- vegetated areas