Data sets
Title of Dataset: InSAR-based Line-of-sight velocity over New York
Author(s): Manoochehr Shirzaei.
Corresponding Author Email Address: Shirzaei@vt.edu.
Item Type: Dataset
Keywords: InSAR, VLM, Coastal Flooding
Description: Line-of-sight displacement over New York.
The SAR data sets include 183 images and span 2015/03/12-2022/08/26 in ascending orbits of the Sentinel-1 C-band satellite
Downloadable Datasets
Title of Dataset: VLM and Horizontal velocity Data for US Atlantic coast
Author(s): Leonard Ohenhen, Manoochehr Shirzaei, Chandrakanta Ojha, Matt Kirwan
Corresponding Author Email Address: ohleonard@vt.edu
Item Type: Dataset
Keywords: Vertical Land Motion (VLM), InSAR, US Atlantic coast
Description: Vertical land motion (VLM) in cm/year for the US east coast for period 2007 - 2021 as a combination of al ALOS, Sentinel-1 and GNSS observations.
Title of Dataset: InSAR-based Vertical Land Motion at Mexico City
Author(s): Mohammad Khorrami
Corresponding Author Email Address: khorrami@vt.edu
Item Type: Dataset
Keywords: Mexico City, InSAR, VLM, Groundwater Loss
Description: Vertical Land Motion across Mexico City as shown in Fig 2C of Khorrami et al. (2023) Geophysical Research Letters. The SAR dataset includes 599 C-band Sentinel-1 SAR images with a 12-day revisit time, 250 km swath, 5 m x 20 m spatial resolution, and multi-looking factors of 32 (range) by 6 (azimuth), including 175 scenes from ascending track path #78, 142 scenes from descending track path #41, and 282 scenes from descending track path #143, comprising 142 and 140 scenes from frames #526 and #531, respectively. The dataset is processed using the WabInSAR algorithm (Shirzaei, 2013).
Title of Dataset: Flood extent and exposure during 2019 Iran flood
Description: county and state-level flood exposure data, precipitation data, and individual flood maps for each SAR frames to understand flood exposure from the 2019 Flood of Iran at the country level utilizing 673 Sentinel-1 Synthetic Aperture Radar intensity images spanning January to February.
Resource Title: Sherpa, S. F., & Shirzaei, M. (2021). Country‐wide flood exposure analysis using Sentinel‐1 synthetic aperture radar data: Case study of 2019 Iran flood. Journal of Flood Risk Management, 15(1), e12770.
Dataset Citation: Sherpa, Sonam Futi; Shirzaei, Manoochehr (2022). Country-wide flood exposure analysis using Sentinel-1synthetic aperture radar data: Case study of 2019 Iran flood. University Libraries, Virginia Tech. Dataset. https://doi.org/10.7294/21764222.v1
Title of Dataset: InSAR-based Vertical Land Motion at San Francisco Bay Area.
Description: Vertical Land Motion across San Francisco Bay as shown in Fig 2 of Shirzaei and Bürgmann (2018) Science Advances.
The SAR data sets spanning from 13 July 2007 to 17 October 2010 include 32, 24, and 19 images in descending (incidence angle = 23°, heading angle = 193°) and ascending (incidence angle = 23°, heading angle = 350°) orbits of the Envisat C-band satellite and ascending (incidence angle = 34.5°, heading angle = 350°) orbit of ALOS L-band satellite, processed using WabInSAR algorithm. See citations below for details.
Resource Title: Shirzaei, M., and R. Bürgmann (2018), Global climate change and local land subsidence exacerbate inundation risk to the San Francisco Bay Area, Science Advances, 4(3), eaap9234, doi:10.1126/sciadv.aap9234.
Dataset Citation: Shirzaei, Manoochehr (2022): InSAR-based Vertical Land Motion at San Francisco Bay Area.. University Libraries, Virginia Tech. Dataset. https://doi.org/10.7294/17708759
Title of Dataset: Vertical Land Motion along California coast.
Description: Vertical Land Motion along California Coast.
The SAR datasets spanning 2007–2018 include acquisitions from Sentinel-1A/B C-band satellite in descending and ascending orbit geometry and ALOS L-band satellite in ascending orbit geometry. The data set is processed using WabInSAR algorithm. See citations below for details.
Resource Title: E. Blackwell, M. Shirzaei, C. Ojha, and S. Werth, "Tracking California’s sinking coast from space: Implications for relative sea-level rise," Science Advances, vol. 6, no. 31, p. eaba4551, 2020, doi: 10.1126/sciadv.aba4551.
Dataset citation: Shirzaei, Manoochehr (2022): Vertical Land Motion along California coast. University Libraries, Virginia Tech. Dataset. https://doi.org/10.7294/17711000
Title of Dataset: World's Coast Vertical Land Motion
Description: Vertical Land Motion Along the world's coast as shown in Fig 3 of Shirzaei et al. (2021) Nature Reviews.
The estimated rate of land subsidence at coastal areas observed by using global navigation satellite system networks within the IGS14 reference frame. Note that these rates are likely a lower bound on the actual subsidence rate in several cases, owing to the absence of shallow signals.
Resource Title: Shirzaei, M., J. Freymueller, T. E. Törnqvist, D. L. Galloway, T. Dura, and P. S. J. Minderhoud (2021), Measuring, modelling and projecting coastal land subsidence, Nature Reviews Earth & Environment, doi:10.1038/s43017-020-00115-x.
Dataset Citation: Shirzaei, Manoochehr (2022): World's Coast Vertical Land Motion. University Libraries, Virginia Tech. Dataset. https://doi.org/10.7294/17710973
Title of Dataset: InSAR-based vertical land motion in Central Valley 2007-2010
Description: Vertical Land Motion over the central Valley California for period 2007-2010.
The estimated rate of land subsidence at coastal areas observed by using global navigation satellite system networks within the IGS14 reference frame. Note that these rates are likely a lower bound on the actual subsidence rate in several cases, owing to the absence of shallow signals.
Resource Title: Ojha, C., M. Shirzaei, S. Werth, D. F. Argus, & T. G. Farr (2018), Sustained Groundwater Loss in California’s Central Valley Exacerbated by Intense Drought Periods. Water Resources Research, 54(7), 4449-4460. https://doi.org/10.1029/2017WR022250
Dataset Citation: Ojha, Chandrakanta; Shirzaei, Manoochehr; Werth, Susanna; Argus, Donald; Farr, Tom (2022): Land deformation estimates over Central Valley California associated with Water Resources Research Publication: Sustained Groundwater Loss in California’s Central Valley Exacerbated by Intense Drought Periods by Ojha et al. 2018. University Libraries, Virginia Tech. Dataset. https://doi.org/10.7294/19968413.v2
Title of Dataset: InSAR-based Line-of-sight Displacement at Los Angeles
Description: Line-of-sight Displacement across Los Angeles as shown in Fig 14b of Lee and Shirzaei (2023) Remote Sensing of Environment. The SAR data sets from 26 February 2016 to 29 August 2022 include 247 images in descending orbits of the Sentinel-1 C-band satellite. The data set is processed using the WabInSAR algorithm.
Resource Title: Lee, Jui-Chi, and Shirzaei. Manoochehr (2023), Novel Algorithms for Pair and Pixel Selection and Atmospheric Error Correction in Multitemporal InSAR, Remote Sensing of Environment. Volume 286, 113447, doi:10.1126/j.rse.2022.113447
Dataset Citation: Lee, Jui-Chi; Shirzaei, Manoochehr (2023): InSAR-based Line-of-sight Displacement at Los Angeles Area. University Libraries, Virginia Tech. Dataset. https://doi.org/10.7294/21818604
Title of Dataset: Data for Land Subsidence Hazard and Building Collapse Risk in the Coastal City of Lagos, West Africa
Description: The data contains 12 files:(1) InSAR_data.csv contains the vertical land motion (VLM) and east-west in cm/year for Lagos, Nigeria. (2) Four GeoTIFF files containing the risk levels of Lagos for different year period (4 years, 10 years, 35 years, and 75 years). (3) Four .csv files containing the risk levels for Lagos for different year period (4 years, 10 years, 35 years, and 75 years). (4) Longitude.csv containing the longitude for plotting the risk levels map. (5) Latitude.csv containing the latitude for plotting the risk levels map. (6) BuildingCollapseTable.xlsx contains the catalog of 106 building collapse data compiled for this study. See further details below.
Resource Title: Ohenhen, L. O., & Shirzaei, M. (2022). Land subsidence hazard and building collapse risk in the coastal city of Lagos, West Africa. Earth's Future, 10, e2022EF003219. https://doi.org/10.1029/2022EF003219
Dataset Citation: Land Subsidence Hazard and Building Collapse Risk in the Coastal City of Lagos, West Africa, https://doi.org/10.1029/2022EF003219