25 November 2021 Satellite-based measurement of ground displacements for the coastal region of Charleston, South Carolina
Ning Li, Michael Sutton, Inthuorn Sasanakul, Scott Howard, Tanner Arrington
Author Affiliations +
Abstract

SNAP-6 DInSAR analysis of Sentinel-1 SAR images acquired during a 2-month time frame when no significant uplift/subsidence events occurred provides the first known baseline DInSAR data for the Charleston, South Carolina, area. DInSAR measurements during a 72-day time frame had substantial bias throughout the region, with variability a strong function of the level of vegetation present. Specifically, results for (a) urban-built areas show low variability (<0.27  cm) with a bias/offset ranging from −25 to 16 cm, (b) nearby Francis Marion National Forest (FMNF) shows much high variability (1.67 to 10.52 cm) with bias/offset from −44 to 22 cm, and (c) mixed urban-forest and other vegetated areas in the region have variability (1.5 to 2.5 cm) and bias/offset (−15  cm to 15 cm) that fall between these ranges. Taken together, the satellite-based measurements indicate the need for integration of available local GPS and DInSAR measurements, as well as placement of additional persistent scatterer sites in the outlying regions.

© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2021/$28.00 © 2021 SPIE
Ning Li, Michael Sutton, Inthuorn Sasanakul, Scott Howard, and Tanner Arrington "Satellite-based measurement of ground displacements for the coastal region of Charleston, South Carolina," Journal of Applied Remote Sensing 16(1), 012012 (25 November 2021). https://doi.org/10.1117/1.JRS.16.012012
Received: 16 July 2021; Accepted: 26 October 2021; Published: 25 November 2021
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Satellites

Satellite imaging

Synthetic aperture radar

Picosecond phenomena

Global Positioning System

Earth observing sensors

Image processing

Back to Top