@inproceedings{6256e233759f43ff87df0534c162fa95,
title = "Evaluation of the Deformation Measurement Efficacy of GNSS-Based InBSAR in Vegetated Areas: Preliminary Assessments",
abstract = "Global Navigation Satellite System based bistatic Synthetic Aperture Radar Interferometry (GNSS-based InBSAR) is an effective approach for achieving high-precision 3D surface deformation measurement. However, existing studies on the vegetation effects on deformation measurement using GNSS-based InBSAR have rarely been conducted. In this paper, a preliminary assessment of deformation results in various vegetated areas using GNSS based InBSAR with Beidou Navigation Satellite System (BDS) data is implemented. The imaging results and deformation measurement accuracy are analyzed. Current results prove the feasibility of GNSS-based InBSAR in analyzing vegetation decoherence.",
keywords = "accuracy evaluation, deformation measurement, GNSS-based InBSAR, vegetataion coverage",
author = "Xiyue Zeng and Feifeng Liu and Di Yao and Xiaojing Wu",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 ; Conference date: 07-07-2024 Through 12-07-2024",
year = "2024",
doi = "10.1109/IGARSS53475.2024.10641888",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "11351--11354",
booktitle = "IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings",
address = "United States",
}