TY - JOUR
T1 - Evaluation of the deformation measurement efficacy of GNSS-based InBSAR in vegetated areas
T2 - IET International Radar Conference 2023, IRC 2023
AU - Zeng, Xiyue
AU - Liu, Feifeng
AU - Yao, Di
AU - Gao, Jiahao
AU - Xu, Zhixiang
N1 - Publisher Copyright:
© The Institution of Engineering & Technology 2023.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - deformation measurement
KW - experimental design
KW - GNSS-based InBSAR
KW - vegetated areas
UR - http://www.scopus.com/inward/record.url?scp=85203160337&partnerID=8YFLogxK
U2 - 10.1049/icp.2024.1534
DO - 10.1049/icp.2024.1534
M3 - Conference article
AN - SCOPUS:85203160337
SN - 2732-4494
VL - 2023
SP - 2806
EP - 2811
JO - IET Conference Proceedings
JF - IET Conference Proceedings
IS - 47
Y2 - 3 December 2023 through 5 December 2023
ER -