Impact of seasonal change on deformation measurement performance of GNSS-based InBSAR in vegetated area: preliminary results

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.

Authors

Institutions

Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10868580
Primary Topic
GNSS positioning and interference
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of seasonal change on deformation measurement performance of GNSS-based InBSAR in vegetated area: preliminary results

Feifeng Liu, Xiyue Zeng, Zhixiang Xu
1 links
GNSS positioning and interference
article

Impact of seasonal change on deformation measurement performance of GNSS-based InBSAR in vegetated area: preliminary results

Feifeng Liu, Xiyue Zeng, Zhixiang Xu
article en

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.

Beijing Institute of Technology (CN)
National Natural Science Foundation of China
Climate action, Zero hunger
Openalex Percentile: Top 55%
GNSS positioning and interference
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Impact of seasonal change on deformation measurement performance of GNSS-based InBSAR in vegetated area: preliminary results — Feifeng Liu, Xiyue Zeng, et al. · (2024) | TGRS Research Map | TGRS