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Mapping Surface Displacements and Aquifer Characteristics Around the Kumamoto Plain, Japan, Using Persistent Scatterer Interferometry.

, and . IGARSS, page 9654-9657. IEEE, (2019)

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ALOS/PALSAR and TerraSAR-X persistent scatterer interferometry around Tokyo: Interferometric phase evaluation and validation., , and . IGARSS, page 1421-1424. IEEE, (2015)Heterogeneous surface displacement pattern at the Hatchobaru geothermal field inferred from SAR interferometry time-series., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)Mapping Surface Displacements and Aquifer Characteristics Around the Kumamoto Plain, Japan, Using Persistent Scatterer Interferometry., and . IGARSS, page 9654-9657. IEEE, (2019)Persistent Scatterer Selection Incorporating Polarimetric SAR Interferograms Based on Maximum Likelihood Theory., , and . IEEE Trans. Geosci. Remote. Sens., 55 (1): 38-50 (2017)Equivalent Stacking of Polarimetric Synthetic Aperture Radar Interferograms Based on Analysis of Persistent and Distributed Scatterers., , and . IEEE Geosci. Remote. Sens. Lett., 11 (8): 1360-1364 (2014)Recent surface displacement in bangkok, Thailand inferred from persistent scatterer SAR interferometry., , , and . IGARSS, page 3853-3856. IEEE, (2013)Correction to: Characterization of hydrothermal alteration along geothermal wells using unsupervised machine-learning analysis of X-ray powder diffraction data., , , , , and . Earth Sci. Informatics, 15 (1): 89 (2022)Estimation of surface displacement using polarimetric SAR interferograms based on analysis of persistent scatterers., , and . IGARSS, page 2221-2224. IEEE, (2014)Resistivity-Based Temperature Estimation of the Kakkonda Geothermal Field, Japan, Using a Neural Network and Neural Kriging., , , , , and . IEEE Geosci. Remote. Sens. Lett., 15 (8): 1154-1158 (2018)Mapping Aquifer Storage Properties Using S-Wave Velocity and InSAR-Derived Surface Displacement in the Kumamoto Area, Southwest Japan., , , , , and . Remote. Sens., 13 (21): 4391 (2021)