Next Article in Journal
Optimal Temporal Window Selection for Winter Wheat and Rapeseed Mapping with Sentinel-2 Images: A Case Study of Zhongxiang in China
Next Article in Special Issue
Integration of DInSAR and SBAS Techniques to Determine Mining-Related Deformations Using Sentinel-1 Data: The Case Study of Rydułtowy Mine in Poland
Previous Article in Journal
Towards an Operational, Split Window-Derived Surface Temperature Product for the Thermal Infrared Sensors Onboard Landsat 8 and 9
Previous Article in Special Issue
Comparing DInSAR and PSI Techniques Employed to Sentinel-1 Data to Monitor Highway Stability: A Case Study of a Massive Dobkovičky Landslide, Czech Republic
Open AccessArticle

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

1
Department of Geoscience at the University of Wisconsin-Madison, Madison, WI 53706, USA
2
AIR-Worldwide, Boston, MA 02116, USA
3
U.S.G.S. Earthquake Science Center, Menlo Park, CA 94025, USA
*
Author to whom correspondence should be addressed.
Current address: Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Remote Sens. 2020, 12(2), 225; https://doi.org/10.3390/rs12020225
Received: 5 December 2019 / Revised: 3 January 2020 / Accepted: 7 January 2020 / Published: 9 January 2020
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. View Full-Text
Keywords: transient deformation; spatial analysis; numerical solutions; satellite geodesy transient deformation; spatial analysis; numerical solutions; satellite geodesy
Show Figures

Graphical abstract

MDPI and ACS Style

Reinisch, E.C.; Ali, S.T.; Cardiff, M.; Kaven, J.O.; Feigl, K.L. Geodetic Measurements and Numerical Models of Deformation at Coso Geothermal Field, California, USA, 2004–2016. Remote Sens. 2020, 12, 225.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop