Geodetic Measurements and Numerical Models of Deformation at Coso Geothermal Field, California, USA, 2004–2016

We measure transient deformation at Coso geothermal field using interferometric synthetic aperture radar (InSAR) data acquired between 2004 and 2016 and relative positions estimated from global positioning system (GPS) to quantify relationships between deformation and pumping. We parameterize the reservoir as a cuboidal sink and solve for best-fitting reservoir dimensions and locations before and after 2010 in accordance with sustainability efforts implemented in late 2009 at the site. Time-series analysis is performed on volume changes estimated from pairs of synthetic aperture radar (SAR) and daily GPS data. We identify decreasing pore-fluid pressure as the dominant mechanism driving the subsidence observed at Coso geothermal field. We also find a significant positive correlation between deformation and production rate.

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Monitoring deformation at the Geysers Geothermal Field, California using C-band and X-band interferometric synthetic aperture radar

Geophysical Research Letters ◽

10.1002/grl.50314 ◽

2013 ◽

Vol 40 (11) ◽

pp. 2567-2572 ◽

Cited By ~ 38

Author(s):

D. W. Vasco ◽

Jonny Rutqvist ◽

Alessandro Ferretti ◽

Alessio Rucci ◽

Fernando Bellotti ◽

...

Keyword(s):

Synthetic Aperture Radar ◽

Geothermal Field ◽

Synthetic Aperture ◽

Interferometric Synthetic Aperture Radar ◽

X Band ◽

The Geysers ◽

Aperture Radar

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Imaging structure with fluid fluxes at the Brady geothermal field, Nevada using satellite interferometric synthetic aperture radar (InSAR)

10.1190/1.1851085 ◽

2004 ◽

Author(s):

Gary Oppliger ◽

Mark Coolbaugh

Keyword(s):

Synthetic Aperture Radar ◽

Geothermal Field ◽

Synthetic Aperture ◽

Interferometric Synthetic Aperture Radar ◽

Aperture Radar

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Time-series analysis of surface deformation at Brady Hot Springs geothermal field (Nevada) using interferometric synthetic aperture radar

Geothermics ◽

10.1016/j.geothermics.2016.01.008 ◽

2016 ◽

Vol 61 ◽

pp. 114-120 ◽

Cited By ~ 23

Author(s):

S.T. Ali ◽

J. Akerley ◽

E.C. Baluyut ◽

M. Cardiff ◽

N.C. Davatzes ◽

...

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Synthetic Aperture Radar ◽

Hot Springs ◽

Surface Deformation ◽

Geothermal Field ◽

Synthetic Aperture ◽

Interferometric Synthetic Aperture Radar ◽

Series Analysis ◽

Aperture Radar

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Automatic delineation of glacier grounding lines in differential interferometric synthetic-aperture radar data using deep learning

Scientific Reports ◽

10.1038/s41598-021-84309-3 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Yara Mohajerani ◽

Seongsu Jeong ◽

Bernd Scheuchl ◽

Isabella Velicogna ◽

Eric Rignot ◽

...

Keyword(s):

Synthetic Aperture Radar ◽

Large Scale ◽

Numerical Models ◽

Radar Data ◽

Synthetic Aperture ◽

Interferometric Synthetic Aperture Radar ◽

Synthetic Aperture Radar Data ◽

Uncertainty Estimates ◽

Grounding Line ◽

Aperture Radar

AbstractDelineating the grounding line of marine-terminating glaciers—where ice starts to become afloat in ocean waters—is crucial for measuring and understanding ice sheet mass balance, glacier dynamics, and their contributions to sea level rise. This task has been previously done using time-consuming, mostly-manual digitizations of differential interferometric synthetic-aperture radar interferograms by human experts. This approach is no longer viable with a fast-growing set of satellite observations and the need to establish time series over entire continents with quantified uncertainties. We present a fully-convolutional neural network with parallel atrous convolutional layers and asymmetric encoder/decoder components that automatically delineates grounding lines at a large scale, efficiently, and accompanied by uncertainty estimates. Our procedure detects grounding lines within 232 m in 100-m posting interferograms, which is comparable to the performance achieved by human experts. We also find value in the machine learning approach in situations that even challenge human experts. We use this approach to map the tidal-induced variability in grounding line position around Antarctica in 22,935 interferograms from year 2018. Along the Getz Ice Shelf, in West Antarctica, we demonstrate that grounding zones are one order magnitude (13.3 ± 3.9) wider than expected from hydrostatic equilibrium, which justifies the need to map grounding lines repeatedly and comprehensively to inform numerical models.

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