Sentinel-1 InSAR-derived land subsidence assessment along the Texas Gulf Coast
Mapping large-scale coastal subsidence is significant in providing valuable support to decision-making stakeholders to recognize impacts of potential natural disasters. However, this task presents significant challenges due to its highly complex nature of the spatial–temporal variability. Recent adv...
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Elsevier
2023-12-01
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Series: | International Journal of Applied Earth Observations and Geoinformation |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843223003680 |
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author | Xiaojun Qiao Tianxing Chu Philippe Tissot Seneca Holland |
author_facet | Xiaojun Qiao Tianxing Chu Philippe Tissot Seneca Holland |
author_sort | Xiaojun Qiao |
collection | DOAJ |
description | Mapping large-scale coastal subsidence is significant in providing valuable support to decision-making stakeholders to recognize impacts of potential natural disasters. However, this task presents significant challenges due to its highly complex nature of the spatial–temporal variability. Recent advances in the observation capability of synthetic aperture radar (SAR) missions and the processing algorithms of interferometric SAR (InSAR) techniques have made it possible to efficiently map large-scale subsidence from space. This study utilized the persistent scatterer (PS) InSAR method to process four swathes of Sentinel-1 SAR images captured between 2016 and 2022 to map large-scale subsidence along the Texas coastline. The subsidence map, encompassing over 1.7 million PS points, was calibrated/validated with observations of 115 continuously operating global navigation satellite system (cGNSS) stations. Nineteen subsiding hotspots were identified and potential subsidence drivers were analyzed, including hydrocarbon extraction (HE), groundwater withdrawal (GW), and salt domes. The results suggest that HE activities were the primary driver of observed subsidence in the Coastal Bend and South Texas, as well as in the Southeast Texas regions. In the Houston-Galveston Area, subsidence appears to be influenced by a combination of GW, HE, and salt dome movements. Within 50 km of the Texas shorelines, subsidence rates were approximately −1.0 mm/yr within the coastal vicinity, while inland areas experience a gradually increasing trend. Specific coastal areas, such as Corpus Christi, Freeport, Seabrook, San Leon, and others, may face elevated flooding risks during high tide and storm events with the sea-level rise trend up to 24.0 mm/yr in relation to coastal subsiding land. |
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institution | Directory Open Access Journal |
issn | 1569-8432 |
language | English |
last_indexed | 2024-03-08T22:58:01Z |
publishDate | 2023-12-01 |
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series | International Journal of Applied Earth Observations and Geoinformation |
spelling | doaj.art-e1cdf8d374c14c93957510c1bbc260672023-12-16T06:06:24ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322023-12-01125103544Sentinel-1 InSAR-derived land subsidence assessment along the Texas Gulf CoastXiaojun Qiao0Tianxing Chu1Philippe Tissot2Seneca Holland3Department of Computer Science, Texas A&M University-Corpus Christi, 6300 Ocean Drive, Corpus Christi, TX 78412, USA; Conrad Blucher Institute for Surveying and Science, Texas A&M University-Corpus Christi, 6300 Ocean Drive, Corpus Christi, TX 78412, USADepartment of Computer Science, Texas A&M University-Corpus Christi, 6300 Ocean Drive, Corpus Christi, TX 78412, USA; Conrad Blucher Institute for Surveying and Science, Texas A&M University-Corpus Christi, 6300 Ocean Drive, Corpus Christi, TX 78412, USA; Corresponding author at: Department of Computer Science, Texas A&M University-Corpus Christi, 6300 Ocean Drive, Corpus Christi, TX 78412, USA.Conrad Blucher Institute for Surveying and Science, Texas A&M University-Corpus Christi, 6300 Ocean Drive, Corpus Christi, TX 78412, USA; Department of Physical and Environmental Sciences, Texas A&M University-Corpus Christi, 6300 Ocean Drive, Corpus Christi, TX 78412, USAConrad Blucher Institute for Surveying and Science, Texas A&M University-Corpus Christi, 6300 Ocean Drive, Corpus Christi, TX 78412, USAMapping large-scale coastal subsidence is significant in providing valuable support to decision-making stakeholders to recognize impacts of potential natural disasters. However, this task presents significant challenges due to its highly complex nature of the spatial–temporal variability. Recent advances in the observation capability of synthetic aperture radar (SAR) missions and the processing algorithms of interferometric SAR (InSAR) techniques have made it possible to efficiently map large-scale subsidence from space. This study utilized the persistent scatterer (PS) InSAR method to process four swathes of Sentinel-1 SAR images captured between 2016 and 2022 to map large-scale subsidence along the Texas coastline. The subsidence map, encompassing over 1.7 million PS points, was calibrated/validated with observations of 115 continuously operating global navigation satellite system (cGNSS) stations. Nineteen subsiding hotspots were identified and potential subsidence drivers were analyzed, including hydrocarbon extraction (HE), groundwater withdrawal (GW), and salt domes. The results suggest that HE activities were the primary driver of observed subsidence in the Coastal Bend and South Texas, as well as in the Southeast Texas regions. In the Houston-Galveston Area, subsidence appears to be influenced by a combination of GW, HE, and salt dome movements. Within 50 km of the Texas shorelines, subsidence rates were approximately −1.0 mm/yr within the coastal vicinity, while inland areas experience a gradually increasing trend. Specific coastal areas, such as Corpus Christi, Freeport, Seabrook, San Leon, and others, may face elevated flooding risks during high tide and storm events with the sea-level rise trend up to 24.0 mm/yr in relation to coastal subsiding land.http://www.sciencedirect.com/science/article/pii/S1569843223003680Land deformationCoastal subsidenceInSARAnthropogenic and natural impactsSea-level riseTexas Gulf Coast |
spellingShingle | Xiaojun Qiao Tianxing Chu Philippe Tissot Seneca Holland Sentinel-1 InSAR-derived land subsidence assessment along the Texas Gulf Coast International Journal of Applied Earth Observations and Geoinformation Land deformation Coastal subsidence InSAR Anthropogenic and natural impacts Sea-level rise Texas Gulf Coast |
title | Sentinel-1 InSAR-derived land subsidence assessment along the Texas Gulf Coast |
title_full | Sentinel-1 InSAR-derived land subsidence assessment along the Texas Gulf Coast |
title_fullStr | Sentinel-1 InSAR-derived land subsidence assessment along the Texas Gulf Coast |
title_full_unstemmed | Sentinel-1 InSAR-derived land subsidence assessment along the Texas Gulf Coast |
title_short | Sentinel-1 InSAR-derived land subsidence assessment along the Texas Gulf Coast |
title_sort | sentinel 1 insar derived land subsidence assessment along the texas gulf coast |
topic | Land deformation Coastal subsidence InSAR Anthropogenic and natural impacts Sea-level rise Texas Gulf Coast |
url | http://www.sciencedirect.com/science/article/pii/S1569843223003680 |
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