Abstract
Interferometric Synthetic Aperture Radar (InSAR) uses two or more SAR images over the same region for mapping ground surface displacements through time. InSAR displacements are relative to a reference point due to the 2π phase ambiguity that from unwrapping, and as a result ground control points (GCPs) are often used to calibrate the displacement model and obtain absolute measurements. Errors in InSAR time-series are typically measured with respect to the reference point, but absolute errors are not currently well constrained. To develop absolute error models for InSAR, we generate Sentinel-1 InSAR time-series for Belleville, Illinois and compare time-series with Global Navigation Satellite System (GNSS) and Light Detection and Ranging (LiDAR) displacements. Both GNSS and LiDAR data showed complementary results with the InSAR measurement, demonstrating the advantages of combining InSAR with small scale LiDAR or GPS measurements to improve InSAR accuracy.
Recommended Citation
Y. Aimaiti et al., "Improving Insar Accuracy for Slow Deformation and Change Detection with Lidar and Gps," 2024 IEEE Conference on Computational Imaging Using Synthetic Apertures, CISA 2024, Institute of Electrical and Electronics Engineers, Jan 2024.
The definitive version is available at https://doi.org/10.1109/CISA60639.2024.10576415
Department(s)
Geosciences and Geological and Petroleum Engineering
Keywords and Phrases
accuracy assessment; GNSS; ground deformation; InSAR; LiDAR
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 2024
Comments
National Geospatial-Intelligence Agency, Grant HM157523F0271