@inproceedings{954f8c09c2e64f7f91d57f11f37344e7,
title = "Impact of seasonal change on deformation measurement performance of GNSS-based InBSAR in vegetated area: Preliminary results",
abstract = "Global Navigation Satellite System-based bistatic Synthetic Aperture Radar Interferometry (GNSS-based InBSAR) stands as an efficient approach to realize mm-level deformation measurements. To elucidate the impact of seasonal variations on the performance of GNSS-based InBSAR deformation measurements in vegetated areas, a statistical and analytical assessment of long-term observation data from Beidou Navigation Satellite (BDS) is conducted in this paper. The results demonstrate that there is an obvious improvement in deformation measurements accuracy during 2024.01.01-2024.03.02. This finding is consistent with the arrival of winter and the decreasing trend of surface vegetation density. The impact of seasonal change on deformation measurement performance of GNSS-based InBSAR in vegetated area is validated.",
keywords = "coherence, deformation measurement accuracy, GNSS-based InBSAR, vegetation coverage",
author = "Xiyue Zeng and Feifeng Liu and Zhixiang Xu",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 ; Conference date: 22-11-2024 Through 24-11-2024",
year = "2024",
doi = "10.1109/ICSIDP62679.2024.10868580",
language = "English",
series = "IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024",
address = "United States",
}