Geochemistry, Geophysics, Geosystems. Supporting Information for

Similar documents
MEASURING VOLCANIC DEFORMATION AT UNIMAK ISLAND FROM 2003 TO 2010 USING

The Removal of Lava Flow Subsidence Signals from deformation interferograms at Nyamuragira Volcano, D.R. Congo

Journal of Geophysical Research Letters Supporting Information for

Slow Deformation of Mt. Baekdu Stratovolcano Observed by Satellite Radar Interferometry

TEMPORAL VARIABILITY OF ICE FLOW ON HOFSJÖKULL, ICELAND, OBSERVED BY ERS SAR INTERFEROMETRY

ALOS PI Symposium 2009, 9-13 Nov 2009 Hawaii MOTION MONITORING FOR ETNA USING ALOS PALSAR TIME SERIES

V. Pinel, A. Hooper, S. de la Cruz-Reyna, G. Reyes-Davila, M.P. Doin

to: Interseismic strain accumulation and the earthquake potential on the southern San

3D temporal evolution of displacements recorded on Mt. Etna from the 2007 to 2010 through the SISTEM method

The Potential of High Resolution Satellite Interferometry for Monitoring Enhanced Oil Recovery

Volcano Pilot Long-term Objectives

Application of differential SAR interferometry for studying eruptive event of 22 July 1998 at Mt. Etna. Abstract

The Santorini Inflation Episode, Monitored by InSAR and GPS

Noise covariance model for time-series InSAR analysis. Piyush Agram, Mark Simons

In order to obtain a long term monitoring result for the Kilauea Volcano, ALOS PALSAR images taken on Track 287, Frame 38, ascending orbit with 21.5 d

ERS Track 98 SAR Data and InSAR Pairs Used in the Analysis

Status Report on Volcano Pilot Project

Deformation measurement using SAR interferometry: quantitative aspects

THREE DIMENSIONAL DETECTION OF VOLCANIC DEPOSIT ON MOUNT MAYON USING SAR INTERFEROMETRY

InSAR-based hydrology of the Everglades, South Florida

GSNL - Geohazard Supersites and Natural Laboratories. Biennial report for Candidate/Permanent Supersite. Hawaiʻi Supersite. Annex to report

ERS-ENVISAT Cross-interferometry for Coastal DEM Construction

Constructing high-resolution, absolute maps of atmospheric water vapor by combining InSAR and GNSS observations

Improved PSI Performance for Landslide Monitoring Applications. J. Duro, R. Iglesias, P. Blanco-Sánchez, F. Sánchez and D. Albiol

Monitoring long-term ground movements and Deep Seated Gravitational

G 3. AN ELECTRONIC JOURNAL OF THE EARTH SCIENCES Published by AGU and the Geochemical Society

The Geohazard Supersites and Natural Laboratories (GSNL).

Implementation of Multi-Temporal InSAR to monitor pumping induced land subsidence in Pingtung Plain, Taiwan

Committee on Earth Observation Satellites. The CEOS Volcano Demonstrator Rationale and Implementation

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 11, NO. 8, AUGUST

SAR interferometry Status and future directions. Rüdiger Gens

The financial and communal impact of a catastrophe instantiated by. volcanoes endlessly impact on lives and damage expensive infrastructure every

3-Dimension Deformation Mapping from InSAR & Multiaperture. Hyung-Sup Jung The Univ. of Seoul, Korea Zhong Lu U.S. Geological Survey, U.S.A.

Supplement of Brief Communication: Rapid mapping of landslide events: the 3 December 2013 Montescaglioso landslide, Italy

Evolution of the 2007 earthquake swarm, Tanzania: Envisat and ALOS interferometry, ground observations and elastic modeling

P079 First Results from Spaceborne Radar Interferometry for the Study of Ground Displacements in Urban Areas SUMMARY

What is the Relationship between Pressure & Volume Change in a Magma Chamber and Surface Deformation at Active Volcanoes?

GEORED Project: GNSS Geodesy Network for Geodynamics Research in Colombia, South America. Héctor Mora-Páez

High-resolution temporal imaging of. Howard Zebker

InSAR measurements of volcanic deformation at Etna forward modelling of atmospheric errors for interferogram correction

Monitoring Mount Sinabung in Indonesia Using Multi- Temporal InSAR

Interferometric SAR analysis for Characterizing Surface Changes of an Active Volcano using Open Source Software

Volcano Monitoring on a Regional Scale:

Pre-eruptive ground deformation of Azerbaijan mud volcanoes detected through satellite radar interferometry (DInSAR)

GPS and GIS Assisted Radar Interferometry

DETECTING ICE MOTION IN GROVE MOUNTAINS, EAST ANTARCTICA WITH ALOS/PALSAR AND ENVISAT/ASAR DATA

Modeling of Atmospheric Effects on InSAR Measurements With the Method of Stochastic Simulation

Diverse deformation patterns of Aleutian volcanoes from InSAR

DETECTION OF CRUSTAL DEFORMATION OF THE NORTHERN PAKISTAN EARTHQUAKE BY SATELLITE DATA. Submitted by Japan **

Supplementary information. Analytical Techniques and Measurement Uncertainty

Case Study of Japan: Crustal deformation monitoring with GNSS and InSAR

Journal of Geophysical Research (Solid Earth) Supporting Information for

Surface Deformation Measurements Scientific Requirements & Challenges

G 3. AN ELECTRONIC JOURNAL OF THE EARTH SCIENCES Published by AGU and the Geochemical Society

Spatiotemporal analysis of ground deformation at Campi Flegrei and Mt Vesuvius, Italy, observed by Envisat and Radarsat-2 InSAR during

Detecting the Source Location of Recent Summit Inflation via Three-Dimensional InSAR Observation of Kīlauea Volcano

Earth Observatory of Singapore. Nina Lin 22 Jan 2018

where ν and γ are site- and season- specific constants, and P, T and U are modeled as h h h P h = P0 ( *10 ( h h0 )) T h = T0 k( h h0 )

Haiti Earthquake (12-Jan-2010) co-seismic motion using ALOS PALSAR

EasyChair Preprint. Height Accuracy and Data Coverage for the Final Global TanDEM-X DEM Data

Ground deformation in Thessaly, Central Greece, between 1992 and 2000 by means of ERS multi-temporal InSAR

MEASUREMENT OF SURFACE DISPLACEMENT CAUSED BY UNDERGROUND NUCLEAR EXPLOSIONS BY DIFFERENTIAL SAR INTERFEROMETRY

G. Ventura* a, Vilardo G. b, V. Sepe a. Napoli, Italy, INTRODUCTION ABSTRACT

GLOBAL FOREST CLASSIFICATION FROM TANDEM-X INTERFEROMETRIC DATA: POTENTIALS AND FIRST RESULTS

Preliminary Microgravity Measurement Of Paka Geothermal Prospect

NOTES AND CORRESPONDENCE Segmented Faulting Process of Chelungpu Thrust: Implication of SAR Interferograms

Auxiliary Material for The 2010 Maule, Chile earthquake: Downdip rupture limit revealed by space geodesy

A Remote Sensing Approach to Characterize the Hydrogeology of Mountainous Areas: Application to the Quito Aquifer System (QAS), Ecuador

Università di Roma La Sapienza, Facoltà d Ingegneria, Dipartimento di Idraulica,Trasporti e Strade (D.I.T.S.) 00185, Roma, Italy

Structural Geology Lab. The Objectives are to gain experience

SMALL TEMPORAL BASELINE SUBSET ANALYSIS (STBAS): AN INSAR TECHNIQUE FOR MULTI-TEMPORAL WATER LEVEL MONITORING IN WETLANDS

DAMS REGIONAL SAFETY WARNING USING TIME-SERIES INSAR TECHNIQUES

Volcano Seismicity and Tremor. Geodetic + Seismic

Interferometric Synthetic Aperture Radar (InSAR): Its Past, Present and Future

Journal of Geodynamics

Tracking lava flow emplacement on the east rift zone of Kīlauea, Hawai i, with synthetic aperture radar coherence

DIFFERENTIAL INSAR STUDIES IN THE BOREAL FOREST ZONE IN FINLAND

Geodesy (InSAR, GPS, Gravity) and Big Earthquakes

Observation of Surface Displacements on Glaciers, Sea Ice, and Ice Shelves Around Canisteo Peninsula, West Antarctica Using 4-Pass DInSAR

Inflation of the Aira Caldera (Japan) detected over Kokubu urban area using SAR interferometry ERS data

Volcanoes and Urban Planning

Available online at GHGT-9. Detection of surface deformation related with CO 2 injection by DInSAR at In Salah, Algeria

Chapter 18. Abstract. Introduction. By Chang-Wook Lee 1, Zhong Lu 2, Hyung-Sup Jung 3, Joong-Sun Won 4, and Daniel Dzurisin 5

Geohazard Supersites and Natural Laboratories

DEM GENERATION AND ANALYSIS ON RUGGED TERRAIN USING ENVISAT/ASAR ENVISAT/ASAR MULTI-ANGLE INSAR DATA

MERIS and OSCAR: Online Services for Correcting Atmosphere in Radar

InSAR, structural analyses and dating of Paka volcanic products, Northern Kenya Rift

27th Seismic Research Review: Ground-Based Nuclear Explosion Monitoring Technologies

Deformation of the Augustine Volcano, Alaska, , measured by ERS and ENVISAT SAR interferometry

SAR INTERFEROMETRIC ANALYSIS OF GROUND DEFORMATION AT SANTORINI VOLCANO (GREECE)

A TIME SERIES ANALYSIS OF VOLCANIC DEFORMATION NEAR THREE SISTERS, OREGON, USING INSAR

ERS-ENVISAT CROSS-INTERFEROMETRY SIGNATURES OVER DESERTS. Urs Wegmüller, Maurizio Santoro and Christian Mätzler

ACHIEVING THE ERS-2 ENVISAT INTER-SATELLITE INTERFEROMETRY TANDEM CONSTELLATION.

Constraints on Magma Chamber Geometry at. Sierra Negra Volcano, Galápagos Islands, based on InSAR Observations

Photo credit: S Dumont

Effect of Unmodelled Reference Frame Motion on InSAR Deformation Estimates

Volcano Pilot Final Report (April 2014 November 2017) Draft as of March 2017

The Tohoku Earthquake 2011 Case.

Infrastructure monitoring using SAR interferometry

Atmospheric Water Vapor Effect on GNSS Signals and InSAR Data

Transcription:

1 2 3 4 5 6 7 8 Geochemistry, Geophysics, Geosystems Supporting Information for Volcano Deformation Survey over the Northern and Central Andes with ALOS InSAR Time Series Anieri M. Morales Rivera 1, Falk Amelung 1, and Patricia Mothes 2 1 Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL, USA. 2 Instituto Geofisico, Escuela Politecnica Nacional, Casilla 171-2759, Quito, Ecuador. 9 1 11 12 13 14 15 16 17 18 19 2 21 22 23 24 25 26 27 28 29 3 31 Contents of this file Tables S1 to S5 Text S1 to S5 Figures S1 to S13 Additional Supporting Information (Files uploaded separately) Captions for Data Set S1 Introduction Volcanoes over the study area with confirmed magmatic eruptions from 26-211 are presented in Table S1. The best fitting source parameters and 95% confidence intervals for deformation at the volcanoes of interest are presented in Tables S2-S5. Examples of eliminated ALOS interferograms due to ionospheric disturbances are included in Text S1 and Figure S1. Explanations and illustrations that demonstrate the applicability of the DEM error correction over our deforming volcanoes, and an illustrated example of the DEM error due to the perpendicular baseline are found in Text S2 and Figures S2-S3. The reference pixel comparison approach is explained in Text S3, with an illustrated example over Guagua Pichincha and Atacazo volcanoes in Figure S4. The time series results over the deforming volcanoes are included in Text S4 and Figures S5-S1. The mean 27-211 LOS velocity maps over selected deforming volcanoes, with profiles through the deforming region and surroundings superimposed on the topography, are included in Text S5 and Figures S11-S13. 1

32 33 34 35 Volcano Country Eruption Start Eruption End Date Date Galeras Colombia 11/24/25 1/4/27 1/21/28? 8/25/21 7/12/26 1/17/28 1/2/21? 8/25/21 Nevado del Huila Colombia 2/19/27 1/2/28 1/26/28? 5/28/27? 4/??/28? 1/14/212? Reventador Ecuador 3/15/27? 7/27/28 1/11/27? 6/3/215- (Continuing) Sangay Ecuador 8/8/1934 3/3/215- (Continuing) Tungurahua Ecuador 1/5/1999 1/1/21 11/22/21 7/8/29? 7/29/21 1/6/214 Ubinas Peru 3/25/26? 7/4/29? Table S1. Volcanoes over the study area with confirmed magmatic eruptions from 26-211 according to [Siebert and Simkin, 22-215]. Depth a (km): -3.63 ±.3 [1. to 4.5] Length (km): 1.76 ±.3 [1.5 to 5.] Width (km): 3.78 ±.8 [2.5 to 5.] X_East (km): 7.4 ±.4 [4. to 7.4] Y_North (km): 6.77 ±.2 [3.5 to 7.4] Galeras - Okada Sill Strike ( ):.1 ±.22 [.1 to 6.] Dip ( ): 37. ±.19 [-2. to 37.] Opening (m): -.17 ± 5.8*1-3 [-2. to -.1] Volume Change (m 3 ): -1.2*1 6 InSAR data: 8/5/27-9/28/21 LOS displacement; ALOS T 153, F 1 Subset (N, W; S, E): 1.28, -77.39 ; 1.18, -77.29 RMS (mm): 18.27 36 37 38 39 4 a Depth is expressed with respect to the lowest elevation of the subset (228 m). Positive and Negative values are above and below reference elevation respectively. Table S2. Best fitting source parameters and 95% confidence intervals for deformation at Galeras volcano. The range of modeled source parameters are shown in the brackets. 2

Depth a (km): -.52 ±.6 [.3 to -3.] Volume Change (1 6 m 3 ):.12 ± 2. [. to 999.] Guagua Pichincha - Mogi X_East (km): 4.88 ±.24 [4. to 5.2] Y_North (km): 3.95 ±.2 [3.5 to 4.8] InSAR data: 12/23/26-8/15/29 LOS displacement; ALOS T 11, F 717 Subset (N, W; S, E): -.14, -78.66 ; -.21, -78.58 RMS (mm): 9.72 41 42 43 44 45 a Depth is expressed with respect to the lowest elevation of the subset (2346 m). Positive and Negative values are above and below reference elevation respectively. Table S3. Best fitting source parameters and 95% confidence intervals for deformation at Guagua Pichincha volcano. The range of modeled source parameters are shown in the brackets. Depth (km):.72 ±.4 [.8 to -.5] Major Axis (km): 2.78 ±.3 [2. to 35.] Minor Axis (km): 1.8 ± 5.64 x 1-4 [. to 5.56] Pressure Change (µ*pa):.8*1-5 ±.78*1-5 [. to 999.] Tungurahua Yang (Shallow Soure) X_East (km): 1.17 ±.2 [8.6 to 1.3] Y_North (km): 9.5 ±. [8.9 to 9.15] Strike ( ): 87. ±.22 [87. to 95.] Plunge ( ): 35.7 ±.62 [15. to 45.] Depth a (km): -1.63 ±.6 [-.9 to -4.] Length (km):.3 ±.4 [.2 to.8] Width (km): 7.65 ±.8 [5. to 8.2] X_East (km): 7.83 ±.6 [7. to 8.5] Y_North (km): 9.93 ±.4 [9.5 to 11.] Tungurahua Okada (Deeper Source) Strike ( ): 37.7 ±.76 [298. to 312.] Dip ( ): -21.92 ±.62 [-3. to -1.] Opening (m):.79 ±.2 [.6 to.9] Volume Change (m 3 ): 1.8*1 6 InSAR data: 12/23/26-6/3/29 LOS displacement; ALOS T 11, F 715 Subset (N, W; S, E): -1.39, -78.55 ; -1.55, -78.4 RMS (mm): 16.82 46 47 48 a Depth is expressed with respect to the lowest elevation of the subset (1678m). Positive and Negative values are above and below reference elevation respectively. Table S4. Best fitting source parameters and 95% confidence intervals for deformation at Tungurahua volcano. The range of modeled source parameters are shown in the brackets. 3

Depth a (km): -.42 ±.4 [.2 to -1.] Length (km): 1.28 ±.5 [1. to 2.5] Width (km): 1.39 ±.7 [1. to 2.5] X_East (km): 2.5 ±.4 [2. to 4.] Y_North (km): 3.6 ±.6 [2. to 4.] SE of Cerro Auquihuato - Okada Sill Strike ( ): 198.86 ± 7.34 [1. to 359.] Dip ( ): -1.22 ± 3.1 [-4. to 4.] Opening (m):.1 ±.1 [.1 to.2] Volume Change (m 3 ):.2*1 6 InSAR data: 1/16/27-1/27/211 LOS displacement; ALOS T 16, F 687 Subset (N, W; S, E): -15.1135, -73.1994 ; -15.1661, -73.1439 RMS (mm): 6.87 49 5 51 52 53 54 55 56 57 58 59 6 61 a Depth is expressed with respect to the lowest elevation of the subset (3249 m). Positive and Negative values are above and below reference elevation respectively. Table S5. Best fitting source parameters and 95% confidence intervals for deformation 7 km SE of Cerro Auquihuato volcano. The range of modeled source parameters are shown in the brackets. Text S1. We observed phase distortions and streaks of decorrelation mainly on interferograms acquired over Ecuador and Peru that we attribute to ionospheric disturbances. We use pair-wise logic to determine the dates that were affected by ionospheric effects. Figure S1a shows an example of an eliminated interferogram acquired over Ecuador showing phase distortions associated to ionospheric disturbances during February 18, 211. Figure S1b shows an example of an eliminated interferogram acquired over Peru showing streaks of decorrelation associated to ionospheric disturbances during February 26, 27. 4

62 63 64 65 66 67 68 69 7 71 72 73 74 75 76 77 78 79 8 81 Figure S1. (a) ALOS interferogram from ascending track 11 spanning July 21 to February 211 showing phase distortions attributed to ionospheric disturbances, and (b) ALOS interferogram from ascending track 13 spanning February 27 to October 27 showing streaks of decorrelation attributed to ionospheric disturbances. Text S2. Fattahi and Amelung [213] demonstrated that the phase due to the DEM error at each epoch is proportional to the perpendicular baseline between the SAR acquisition at that epoch and the reference acquisition.. Fattahi and Amelung [213] presented a model based approach to correct for these DEM errors, with favorable conditions when the uncorrected displacement history is uncorrelated to the perpendicular baseline. Figure S2 illustrates that the DEM error correction can be applied over the 6 deforming volcanoes in our study because the uncorrected displacement history does not correlate with the perpendicular baseline history. Figure S3 illustrates an example of the estimated displacement due to the DEM error from the perpendicular baseline at Reventador volcano. This method does not account for time-dependent topographic changes but it is not a concern because significant changes would result in temporal decorrelation (e.g. observed at Reventador after emplacement of lava flows during the time period of analysis). 5

82 83 84 85 86 87 88 89 9 91 92 93 94 95 96 97 98 99 1 Figure S2. Examples of no correlation between uncorrected displacement time series and perpendicular baselines at (A) Galeras, (B) Reventador, (C) Pichincha, (D) Tungurahua, (E) Sangay, and (F) 7km SE of Cerro Auquihuato. Perpendicular Baseline (m) 6 3-3 -6-9 -3 27 28 29 21 211 212 Time (years)!"#$"%&'()*+#,-+."*'%", /'.$*+(""%1,&)",12,/34,"##2#, Figure S3. Illustrated example of the estimated displacement history due to the DEM error (difference between the time series with and without DEM error correction) at the 1-1 -2 Displacement (cm) 6

11 12 13 14 15 16 17 18 19 11 111 112 113 114 115 116 117 118 119 12 121 122 123 124 125 126 127 128 129 13 131 same deforming point as in Figure 2 c-d over Reventador volcano, and how it correlates with the perpendicular baseline history. Text S3. We investigate the possibility of atmospheric noise reduction of a deforming point by choosing a reference pixel with potentially similar atmospheric conditions. We present an example of this process over Guagua Pichincha (active) and Atacazo (inactive) volcanoes in Figure S4. We first select a random pixel with high temporal coherence in a suspected non-deforming area as the reference pixel. We obtain the LOS displacement time series for three points: (1) in the area of suspected deformation, (2) in a suspected non-deforming area within proximity ( 1 km) to the suspected deformation (to evaluate localized turbulent atmospheric delay), and (3) in a suspected non-deforming area further away (>1 km) from the suspected deformation (to evaluate regional stratified atmospheric delay), with all three points at similar elevations (within 1 m elevation difference). Temporal correlation of the LOS displacement time series indicate regional stratified atmospheric delays (clearly observed over Guagua Pichincha and Atacazo volcanoes on dates 2-4, 7, 13-15 in Figure S4A). A lack of temporal correlation indicates a real deformation signal and/or the presence of localized atmospheric delay errors (clearly observed in the active dome of Guagua Pichincha, and over Guagua Pichincha and Atacazo on dates 5, 6, 8-12 in Figure S4A). To distinguish between the latter two, we evaluate similarities and differences between the time series. An example is shown in Figure S4A. The time series for Pichincha (black triangle) and Atacazo (black circle) volcanoes are very similar, with slight offsets of 2 cm. This suggests that the time series largely represent stratified atmospheric delay while the slight offsets represent the localized turbulent atmospheric delays. The time series on the active dome of Guagua Pichincha (white square) displays some correlation to the other two time series but the difference increases with time, indicating deformation. Assuming that similar localized and regional atmospheric conditions exist within 2 points at proximity, we now use the non-deforming point on the flank of Guagua Pichincha as the reference pixel in order to minimize the atmospheric delays. The trend of the resulting time series represents deformation (white square, Figure S4B). 7

132 133 134 135 136 137 138 139 Figure S4. (Left) LOS displacement time series for points on (A) the flanks of Guagua Pichincha (black triangle) and Atacazo (black circle) volcanoes, and the active dome of Guagua Pichincha (white square) with respect to a reference point in Quito (red circle), and (B) the active dome of Guagua Pichincha with respect to a reference point on the flank (black triangle). The DEM (right) shows the location of the points and reference pixels for the time series plots on the left. 8

14 141 142 143 Text S4. We include in Figures S5-S1 the LOS displacement time series over the deforming volcanoes (relative to the first image)..6.5.4.3.2.1.2.4.6.8 1 LOS$Displacement$(cm) 26-5 144 145 146 147 6 5 Figure S5. LOS displacement time series over Galeras volcano (Track 153) showing deformation on the NE flank. Area covered over each sub-figure: latitudes 1.265 to 1.18, and longitudes -77.39 to -77.31. 9

LOS$Displacement$(cm) 22 2 148 149 15 151 152 Figure S6. LOS displacement time series over Reventador volcano showing deformation over volcanic deposits emplaced within the sector collapse region (SE flank of the volcano). Area covered over each sub-figure: latitudes -.2 to -.14, and longitudes - 77.72 to -77.58. 1

LOS$Displacement$(cm) 25 5 153 154 155 156 Figure S7. LOS displacement time series over Guagua Pichincha volcano (Track 11) showing deformation on the active dome within the caldera. Area covered over each subfigure: latitudes -.14 to -.21, and longitudes -78.66 to -78.58. 11

.6.5.4.3.2.1.2.4.6.8 1 LOS$Displacement$(cm) 218-5 157 158 159 16 161 162 18 5 Figure S8. LOS displacement time series over Tungurahua volcano showing deformation on the W flank. Area covered over each sub-figure: latitudes -1.39 to -1.55, and longitudes -78.55 to -78.4. 12

LOS$Displacement$(cm) 21 1 163 164 165 166 Figure S9. LOS displacement time series over Sangay volcano showing deformation on the SW and SE flanks of the volcano. Area covered over each sub-figure: latitudes -1.94 to -2.6, and longitudes -78.4 to -78.28. 13

LOS$Displacement$(cm) 167 168 169 17 171 172 173 174 175 176 177 178 179 18 181 21 1 Figure S1. LOS displacement time series 7km SE of Cerro Auquihuato showing deformation. Area covered over each sub-figure: latitudes -15.1135 to -15.1661, and longitudes -73.1994 to -73.1439. Text S5. Interpretations based on small regions within the InSAR products need to be evaluated considering that signals of similar magnitude can appear in other regions. We present a larger view of the velocity maps, along with profiles that display the average LOS velocities superimposed on the elevation, for deforming volcanoes in which a larger view was not presented in the main manuscript. We can observe some correlations between the velocities and topography interpreted as atmospheric noise, but regions interpreted to be deforming display velocities of higher magnitudes than the noise and are uncorrelated to the topography (See Figures S11-S13). 14

182 183 184 185 186 187 Figure S11. Mean 27-211 LOS velocity map over Reventador, with a profile through the region of subsidence and surroundings. The black dashed line indicates the location of the profile below that is superimposed on the topographic profile. 188 15

189 19 191 192 Figure S12. Same as Figure S11 but over Tungurahua, with profiles through the region of uplift and surroundings. 193 194 195 196 197 198 199 2 21 22 23 24 25 26 27 28 29 Figure S13. Same as Figure S11 but over Cerro Auquihuato region, with profiles through the region of uplift and surroundings. Data Set S1. Satellite track, frame, and perpendicular baseline of interferograms used for this study. References Fattahi, H., and F. Amelung (213), DEM Error Correction in InSAR Time Series, Geoscience and Remote Sensing, IEEE Transactions on, 51(7), 4249-4259, doi:1.119/tgrs.212.2227761. Siebert, L., and T. Simkin (22-215), Volcanoes of the world: an illustrated catalog of Holocene volcanoes and their eruptions, Smithsonian Institution, Global Volcanism Program Digital Information Series, GVP-3. 16