MOESM3 of Earthquake rupture properties of the 2016 Kumamoto earthquake foreshocks (M j 6.5 and M j 6.4) revealed by conventional and multiple-aperture InSAR

Additional file 3: Fig. S3. Downsampled data used in the modeling for a InSAR and b MAI, respectively

MOESM1 of Dynamic rupture propagation on geometrically complex fault with along-strike variation of fault maturity: insights from the 2014 Northern Nagano earthquake

Additional file 1: Movie S1. Spatiotemporal evolution of fault slip for Model S. View from east

MOESM1 of Volcanic deformation of Atosanupuri volcanic complex in the Kussharo caldera, Japan, from 1993 to 2016 revealed by JERS-1, ALOS, and ALOS-2 radar interferometry

Additional file 1. Fig. S1 Daily vertical displacement observed at GNSS stations around the Kussharo caldera. Fig. S2 Unwrapped SAR interferograms after the small-scale constant deformation correction

Additional file 4 of An effective approach for accurate estimation of VLBI–GNSS local-tie vectors

Additional file 4: Table S4 Main instruments

Additional file 7 of An effective approach for accurate estimation of VLBI–GNSS local-tie vectors

Additional file 7: Figure S2 (a) Observation sets for traversing between GNSS and pillars. (b) Photograph of GNSS antenna. The target is installed under the antenna for traversing

Additional file 6 of An effective approach for accurate estimation of VLBI–GNSS local-tie vectors

Additional file 6: Figure S1 Observation set (left) and state of survey (right). (a) Traversing. (b) Leveling

Additional file 1 of An effective approach for accurate estimation of VLBI–GNSS local-tie vectors

Additional file 1: Table S1 DOMES numbers

Additional file 8 of An effective approach for accurate estimation of VLBI–GNSS local-tie vectors

Additional file 8: Figure S3 Survey for orientation angle. (a) Observation set; (b) light set to Mt. Tsukuba; (c) GNSS observation on Pillar 3 at Ishioka station