Land Subsidence in Villahermosa Tabasco Mexico, Using Radar Interferometry

Pérez-Falls, Zenia; Martínez-Flores, Guillermo

doi:10.1007/978-3-030-59872-3_2

Cited by 4 publications

(4 citation statements)

References 18 publications

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“…It measures how similar are the pixels between the Slave and Master images on a scale of 0 to 1. A value close to 0 indicates low correlation and high noise presence, while a value near 1 indicates high correlation and low noise presence [ 9 , 10 ]. Deburst: Removes the seamlines between the bursts of Master and Slave images.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

“… Subset: In this step, the area of interest in the interferogram is narrowed down to only the VT, aiming to reduce processing time for the subsequent steps. Unwrapping: In this step, the interferometric phase, which is in a 2π scale, is unwrapped to relate it to topographic height [ 9 , 10 ]. Unlike the previous steps, this process uses the SNAPHU software version 1.4.2 for Windows.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

“…Unwrapping: In this step, the interferometric phase, which is in a 2π scale, is unwrapped to relate it to topographic height [ 9 , 10 ]. Unlike the previous steps, this process uses the SNAPHU software version 1.4.2 for Windows.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

See 2 more Smart Citations

A comprehensive dataset of surface deformation satellite maps of the valley of Toluca, Mexico

Francisco-Valencia,

Alejo-Eluterio,

Salas-Garcia

et al. 2023

Data in Brief

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

See 1 more Smart Citation

A comprehensive dataset of surface deformation satellite maps of the valley of Toluca, Mexico

Francisco-Valencia,

Alejo-Eluterio,

Salas-Garcia

et al. 2023

Data in Brief

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“…3 ). Nevertheless, there are reports of ground subsidence due to hydrocarbon extraction in Villahermosa, Tabasco, in southeastern Mexico (Pérez-Falls and Martínez-Flores 2020 ) although they are spatially restricted.…”

Section: Study Areamentioning

confidence: 99%

Country-scale assessment of urban areas, population, and households exposed to land subsidence using Sentinel-1 InSAR, and GPS time series

Fernández-Torres,

Cabral-Cano,

Solano-Rojas

et al. 2023

Nat Hazards

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The increased need for water resources in urban sprawls and intense droughts has forced more aggressive groundwater extraction resulting in numerous urban areas undergoing land subsidence. In most cases, only some large metropolitan areas have been well-characterized for subsidence. However, there is no existing country-wide assessment of urban areas, population, and households exposed to this process. This research showcases a methodology to systematically evaluate urban localities with land subsidence higher than − 2.8 cm/year throughout Mexico. We used Interferometric Synthetic Aperture Radar (InSAR) tools with a dataset of 4611 scenes from European Space Agency’s Sentinel-1 A/B SAR sensors acquired from descending orbits from September 2018 through October 2019. This dataset was processed at a supercomputer using InSAR Scientific Computing Environment and the Miami InSAR Time Series software in Python software. The quality and calibration of the resulting velocity maps are assessed through a large-scale comparison with observations from 100 continuous GPS sites throughout Mexico. Our results show that an urban area of 3797 km2, 6.9 million households, and 17% of the total population in Mexico is exposed to subsidence velocities of faster than − 2.8 cm/year, in more than 853 urban localities within 29 land subsidence regions. We also confirm previous global potential estimations of subsidence occurrence in low relief areas over unconsolidated deposits and where groundwater aquifers are under stress. The presented research demonstrates the capabilities for surveying urban areas exposed to land subsidence at a country-scale level by combining Sentinel-1 velocities with spatial national census data.

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Land Subsidence Detection in the Coastal Plain of Tabasco, Mexico Using Differential SAR Interferometry

Pérez-Falls

Martínez-Flores

Sarychikhina

2022

Land

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Land subsidence (LS) increases flood vulnerability in coastal areas, coastal plains, and river deltas. The coastal plain of Tabasco (TCP) has been the scene of recurring floods, which caused economic and social damage. Hydrocarbon extraction is the main economic activity in the TCP and could be one of the causes of LS in this region. This study aimed to investigate the potential of differential SAR interferometric techniques for LS detection in the TCP. For this purpose, Sentinel-1 SLC descending and ascending images from the 2018–2019 period were used. Conventional DInSAR, together with the differential interferograms stacking (DIS) approach, was applied. The causes of interferometric coherence degradation were analyzed. In addition, Sentinel-1 GRD images were used for delimitation of areas recurrently affected by floods. Based on the results of the interferometric processing, several subsiding zones were detected. The results indicate subsidence rates of up to −6 cm/yr in the urban centers of Villahermosa, Paraíso, Comalcalco, and other localities. The results indicate the possibility of an influence of LS on the flood vulnerability of the area south of Villahermosa city. They also suggest a possible relationship between hydrocarbon extraction and surface deformation.

show abstract

Land Subsidence in Villahermosa Tabasco Mexico, Using Radar Interferometry

Cited by 4 publications

References 18 publications

A comprehensive dataset of surface deformation satellite maps of the valley of Toluca, Mexico

A comprehensive dataset of surface deformation satellite maps of the valley of Toluca, Mexico

Country-scale assessment of urban areas, population, and households exposed to land subsidence using Sentinel-1 InSAR, and GPS time series

Land Subsidence Detection in the Coastal Plain of Tabasco, Mexico Using Differential SAR Interferometry

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