These data contain vertical rates (mm/yr) of surface land displacements and their associated uncertainties from 2015-03-15 to 2019-06-01.
They are associated with Buzzanga, B. A., Bekaert, D. P. S., Hamlington, B. D., and Sanga, S. (2020), "Towards Sustained Monitoring of Subsidence at the Coast Using InSAR and GNSS: An Application in Hampton Roads, Virginia submitted to Geophysical Research Letters.
Commonwealth Center for Recurrent Flooding Resiliency
Old Dominion University
Vertical land subsidence rates are produced using the methodology of Interferometric Synthetic Aperture Radar (InSAR). The input data are 163 Sentinel-1 derived interferograms produced using the Advanced Rapid and Imaging system of NASA JPL, available at: https://asf.alaska.edu. These data are accessed and preprocessed using the ARIA-tools library (https://github.com/aria-tools/ARIA-tools). The data are then subject to time-series processing using the Small Baseline Subset algorithm as implemented in the MintPy software (https://github.com/insarlab/MintPy). Details on pixel selection and geodetic tie-ins are included in the Supplementary Materials of the published manuscript.
Buzzanga, B. A., Bekaert, D. P. S., Hamlington, B. D., and Sanga, S. (2020). Towards Sustained Monitoring of Subsidence at the Coast Using InSAR and GNSS: An Application in Hampton Roads, Virginia. Geophysical Research Letters.
Hampton Roads, VA (SNWE: 36.75, 37.225, -76.655, -75.928)
This work is licensed under a Creative Commons Attribution 4.0 License.
Buzzanga, Brett; Bekaert, David P. S.; Hamlington, Ben D.; and Sangha, Simran S., "Vertical Land Displacement Rates and Uncertainty in Hampton Roads, VA [Dataset]" (2020). Datasets. 1.