| Time-series analysis of surface deformation at Brady Hot Springs geothermal field (Nevada) using interferometric synthetic aperture radar ST Ali, J Akerley, EC Baluyut, M Cardiff, NC Davatzes, KL Feigl, W Foxall, ... Geothermics 61, 114-120, 2016 | 65 | 2016 |
| Overview and preliminary results from the PoroTomo project at Brady Hot Springs, Nevada: Poroelastic tomography by adjoint inverse modeling of data from seismology, geodesy … KL Feigl, P Team Proceedings of the 42nd Workshop on Geothermal Reservoir Engineering, 1-15, 2017 | 57 | 2017 |
| DAS and DTS at Brady Hot Springs: Observations about coupling and coupled interpretations DE Miller, T Coleman, X Zeng, JR Patterson, EC Reinisch, MA Cardiff, ... Proceedings of the 43rd workshop on geothermal reservoir engineering …, 2018 | 39 | 2018 |
| Graph theory for analyzing pair-wise data: application to geophysical model parameters estimated from interferometric synthetic aperture radar data at Okmok volcano, Alaska EC Reinisch, M Cardiff, KL Feigl Journal of Geodesy, 2016 | 25 | 2016 |
| Inferring geothermal reservoir processes at the Raft River geothermal field, Idaho, USA, through modeling InSAR‐measured surface deformation F Liu, P Fu, RJ Mellors, MA Plummer, ST Ali, EC Reinisch, Q Liu, KL Feigl Journal of Geophysical Research: Solid Earth 123 (5), 3645-3666, 2018 | 22 | 2018 |
| Fault plane orientations of intermediate‐depth and deep‐focus earthquakes in the Japan‐Kuril‐Kamchatka subduction zone LM Warren, EC Baluyut, T Osburg, K Lisac, S Kokkinen Journal of Geophysical Research: Solid Earth 120 (12), 8366-8382, 2015 | 19 | 2015 |
| Characterizing volumetric strain at Brady Hot Springs, Nevada, USA using geodetic data, numerical models and prior information EC Reinisch, M Cardiff, KL Feigl Geophysical Journal International 215 (2), 1501-1513, 2018 | 15 | 2018 |
| Utah forge: Phase 2c topical report J Moore, S Simmons, J McLennan, C Jones, G Skowron, P Wannamaker, ... USDOE Geothermal Data Repository (United States); Energy and Geoscience …, 2019 | 13 | 2019 |
| Geodetic measurements and numerical models of deformation: Examples from geothermal fields in the western United States ST Ali, J Akerley, EC Baluyut, DC Nicholas, J Lopeman, J Moore, ... Stanford Geothermal Workshop, 2016 | 13 | 2016 |
| Geodetic measurements and numerical models of deformation at Coso geothermal field, California, USA, 2004–2016 EC Reinisch, ST Ali, M Cardiff, JO Kaven, KL Feigl Remote Sensing 12 (2), 225, 2020 | 10 | 2020 |
| PoroTomo natural laboratory horizontal and vertical distributed acoustic sensing data K Feigl, E Reinisch, J Patterson, S Jreij, L Parker, A Nayak, X Zeng, ... USDOE Geothermal Data Repository (United States); Univ. of Wisconsin …, 2016 | 10 | 2016 |
| Time‐Series Analysis of Volume Change at Brady Hot Springs, Nevada, USA, Using Geodetic Data From 2003–2018 EC Reinisch, M Cardiff, C Kreemer, J Akerley, KL Feigl Journal of Geophysical Research: Solid Earth 125 (9), e2019JB017816, 2020 | 9 | 2020 |
| Spatio–Temporal Analysis of Deformation at San Emidio Geothermal Field, Nevada, USA between 1992 and 2010 EC Reinisch, M Cardiff, J Akerley, I Warren, KL Feigl Remote Sensing 11 (16), 1935, 2019 | 9 | 2019 |
| Geodetic measurements and numerical models of transient deformation at Raft River geothermal field, Idaho, USA ST Ali, EC Reinisch, J Moore, M Plummer, I Warren, NC Davatzes, ... Geothermics 74, 106-111, 2018 | 7 | 2018 |
| Combining multispectral imagery and synthetic aperture radar for detecting deforestation EC Reinisch, A Ziemann, EB Flynn, J Theiler Algorithms, Technologies, and Applications for Multispectral and …, 2020 | 6 | 2020 |
| Inferring geothermal reservoir processes at Raft River Field, Idaho, USA through modeling InSAR-measured surface deformation F Liu, P Fu, RJ Mellors, P Mitchell, T Ali, EC Reinisch, Q Liu, KL Feigl Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States) 123 …, 2017 | 5 | 2017 |
| Advancing the limits of insar to detect crustal displacement from low-magnitude earthquakes through deep learning EC Reinisch, CJ Abolt, EM Swanson, B Rouet-Leduc, EE Snyder, ... Remote Sensing 16 (11), 2019, 2024 | 4 | 2024 |
| Spatio-temporal analysis and volumetric characterization of interferometric synthetic aperture radar-observed deformation signatures related to underground and in situ leach mining EC Reinisch, BG Henderson Journal of Applied Remote Sensing 17 (4), 044511-044511, 2023 | 2 | 2023 |
| Refining polarimetric classification methods for deriving sea ice labels from synthetic aperture radar data EC Reinisch, L Castro Applications of Machine Learning 2022 12227, 11-23, 2022 | 2 | 2022 |
| Remote sensing of polar ice: combining synthetic aperture radar and machine learning for operational navigability EC Reinisch, CX Ren, A Roberts, C Wilson, PB Eriksson, A Ziemann Algorithms for Synthetic Aperture Radar Imagery XXVIII 11728, 20-33, 2021 | 2 | 2021 |
