GROUND DEFORMATION OCCURRING IN THE GREATER VANCOUVER REGION FROM TWENTY YEARS OF ERS-ENVISAT-RADARSAT-2 INSAR OBSERVATIONS Sergey Samsonov 1, Pablo J.

Slides:



Advertisements
Similar presentations
Lab for Remote Sensing Hydrology and Spatial Modeling Dept. of Bioenvironmental Systems Engineering, NTU Satellite Remote Sensing for Land-Use/Land-Cover.
Advertisements

Surface Water and Ocean Topography (SWOT) Satellite Mission
22 March 2011: GSICS GRWG & GDWG Meeting Daejeon, Korea Tim Hewison SEVIRI-IASI Inter-calibration Uncertainty Evaluation.
USE SAR INTERFEROMETRY DINSAR AND PSI TO IDENTIFY THE GEOHAZARD RISK OF NATO AIRPORT NORTH EAST LARISSA (CENTRAL GREECE) Falah FAKHRI Harokopio University.
Page 1 ENVISAT Press Day - ESTEC, 1 February 2001 Fabio Rocca Dipartimento di Elettronica e Informazione Politecnico di Milano Envisat for the physics.
USEReST - Naples 2008 Terrain Deformation Monitoring with PSInSAR TM Marco Bianchi Sensing the planet Marco Basilico
ACKNOWLEDGEMENT: We thank the Canadian Space Agency (CSA) for providing RADARSAT-2 data. Figures were plotted with GMT and Gnuplot software and statistical.
~525 m ~800 m ~1200 m Hurricane Rita (2005) 2D wind mapping using DOW data and surface roughness DOW Radar in Galveston, Texas. Hurricane Ike (2008) Correlation.
ALOS PALSAR interferometry of Taupo Volcanic Zone, New Zealand Sergey Samsonov 1,3, John Beavan 1, Chris Bromley 2, Bradley Scott 2, Gill Jolly 2 and Kristy.
(1) ASRC Research and Technology Solutions, Contractor to U.S.Geological Survey (USGS) Cascades Volcano Observatory (CVO), Vancouver, WA, USA;
Marine Surveillance with RADARSAT-2: Ship and Oil Slick Detection Gordon Staples, Jeff Hurley, Gillian Robert, Karen Bannerman MDA GSI Richmond, BC
Motion of Glaciers, Sea Ice, and Ice Shelves in Canisteo Peninsula, West Antarctica Observed by 4-Pass Differential Interferometric SAR Technique Hyangsun.
ElectroScience Lab Studies of Radio Frequency Interference in SMOS Observations IGARSS 2011 Joel T. Johnson and Mustafa Aksoy Department of Electrical.
Deformation along the north African plate boundary observed by InSAR Ian Hamling 1,2 Abdelkrim Aoudia 2 1.GNS Science, Avalon, New Zealand 2.ICTP, Trieste,
Microwindow Selection for the MIPAS Reduced Resolution Mode INTRODUCTION Microwindows are the small subsets of the complete MIPAS spectrum which are used.
Earthquake spatial distribution: the correlation dimension (AGU2006 Fall, NG43B-1158) Yan Y. Kagan Department of Earth and Space Sciences, University of.
Identifying and Modeling Coronal Holes Observed by SDO/AIA, STEREO /A and B Using HMI Synchronic Frames X. P. Zhao, J. T. Hoeksema, Y. Liu, P. H. Scherrer.
Time-series InSAR with DESDynI: Lessons from ALOS PALSAR Piyush Agram a, Mark Simons a and Howard Zebker b a Seismological Laboratory, California Institute.
ACKNOWLEDGEMENTS We are grateful to the MOPITT team, especially the groups at University of Toronto and the National Center for Atmospheric Research (NCAR),
Remote Sensing and Active Tectonics Barry Parsons and Richard Walker Michaelmas Term 2011 Lecture 4.
IGARSS 2011 – July, Vancouver, Canada Investigating the seismic cycle in Italy by multitemporal analysis of ALOS, COSMO-SkyMed and ERS/Envisat DInSAR.
1 DATA DESCRIPTION. 2 Units l Unit: entity we are studying, subject if human being l Each unit/subject has certain parameters, e.g., a student (subject)
Urs Wegmüller Gamma Remote Sensing AG, Gümligen, Switzerland Monitoring Alpine Transportation Infrastructures Using Space Techniques.
DOCUMENT OVERVIEW Title: Fully Polarimetric Airborne SAR and ERS SAR Observations of Snow: Implications For Selection of ENVISAT ASAR Modes Journal: International.
Michigan Tech Research Institute (MTRI)  Michigan Technological University 3600 Green Court, Suite 100  Ann Arbor, MI (734) – Phone 
Air Pressure and Winds. Atmospheric Pressure  What causes air pressure to change in the horizontal?  Why does the air pressure change at the surface?
The climate and climate variability of the wind power resource in the Great Lakes region of the United States Sharon Zhong 1 *, Xiuping Li 1, Xindi Bian.
ESTIMATION OF OCEAN CURRENT VELOCITY IN COASTAL AREA USING RADARSAT-1 SAR IMAGES AND HF-RADAR DATA Moon-Kyung Kang 1, Hoonyol Lee 2, Chan-Su Yang 3, Wang-Jung.
Jeff J. Orchard, M. Stella Atkins School of Computing Science, Simon Fraser University Freire et al. (1) pointed out that least squares based registration.
I hope its ok to do these InSAR exercises as the lab
How does InSAR work? Gareth Funning University of California, Riverside.
InSAR Processing and Applications
ANGULAR CORRELATION OF NEUTRONS EMITTED FROM DECAY OF GIANT DIPOLE RESONANCE IN ULTRA-PERIPHERAL COLLISIONS AT RHIC In an ultra peripheral collision the.
Synthetic aperture radar (SAR) data … also, use ENVISAT (C-band) data from the same time period to resolve vertical/horizontal components of surface velocity.
Time Dependent Mining- Induced Subsidence Measured by DInSAR Jessica M. Wempen 7/31/2014 Michael K. McCarter 1.
South East Strategic Regional Coastal Monitoring Programme – Annual Review Meeting, November 2009 Satellite Data for Coastal Monitoring Trevor Burton Fugro-BKS.
An Accuracy Assessment of a Digital Elevation Model Derived From an Airborne Profiling Laser Joseph M. Piwowar Philip J. Howarth Waterloo Laboratory for.
Detection of Wind Speed and Sea Ice Motion in the Marginal Ice Zone from RADARSAT-2 Images Alexander S. Komarov 1, Vladimir Zabeline 2, and David G. Barber.
Fault Plane Solution Focal Mechanism.
Norris subsidence Caldera-wide uplift Figure 1 – ENVISAT beam mode 1 interferogram spanning and showing deformation in the region of Yellowstone.
Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. Schematic representation of the near-infrared (NIR) structured illumination instrument,
Dynamics of landfast sea ice near Jangbogo Antarctic Research Station observed by SAR interferometry Hoonyol Lee 1 and Hyangsun Han 2 1 Division of Geology.
Date of download: 7/8/2016 Copyright © 2016 SPIE. All rights reserved. Comparison of leveling data (red open squares) and the InSAR time series (blue dots).
Date: 18/09/2016 RASS-R Coverage Map Calculator Jeroen Janssens.
Motion of David Glacier in East Antarctica Observed by
Class tutorial Measuring Earthquake and volcano activity from space Shimon Wdowinski University of Miami.
Why Model? Make predictions or forecasts where we don’t have data.
GEOGRAPHIC INFORMATION SYSTEMS & RS INTERVIEW QUESTIONS ANSWERS
Figure 1. ENVISAT beam mode 4, track 136 interferogram spanning 11 April to 20 June Bulls-eye-shaped subsidence at the summit was caused by withdrawal.
Analysis Ready Data ..
From: Motion processing with two eyes in three dimensions
Satellite Sensors – Historical Perspectives
Water level observations from Unmanned Aerial Vehicles (UAVs) for improving probabilistic estimations of interaction between rivers and groundwater Filippo.
Joseph M. Johnson, William J. Betz  Biophysical Journal 
Brendan K. Murphy, Kenneth D. Miller  Neuron 
A Channel for 3D Environmental Shape in Anterior Inferotemporal Cortex
Regulation of Airway Ciliary Activity by Ca2+: Simultaneous Measurement of Beat Frequency and Intracellular Ca2+  Alison B. Lansley, Michael J. Sanderson 
CA3 Retrieves Coherent Representations from Degraded Input: Direct Evidence for CA3 Pattern Completion and Dentate Gyrus Pattern Separation  Joshua P.
Tidal Signatures in the Extended Canadian Middle Atmosphere Model
Singular Behavior of Slow Dynamics of Single Excitable Cells
Hippocampal “Time Cells”: Time versus Path Integration
이훈열, 조성준, 성낙훈 강원대학교 지구물리학과 한국지질자원연구원 지반안전연구부
Testing the Fit of a Quantal Model of Neurotransmission
by Asaf Inbal, Jean Paul Ampuero, and Robert W. Clayton
by Laura M. Wallace, Spahr C
2011 International Geoscience & Remote Sensing Symposium
Volume 97, Issue 7, Pages (October 2009)
Modeling Endoplasmic Reticulum Network Maintenance in a Plant Cell
George D. Dickinson, Ian Parker  Biophysical Journal 
SAR for offshore wind energy
Presentation transcript:

GROUND DEFORMATION OCCURRING IN THE GREATER VANCOUVER REGION FROM TWENTY YEARS OF ERS-ENVISAT-RADARSAT-2 INSAR OBSERVATIONS Sergey Samsonov 1, Pablo J. Gonzalez* 2, Kristy Tiampo 2, and Nicolas dOreye 3,4 1 Natural Resources Canada, 588 Booth Street, Ottawa, ON K1A0Y7, Canada, 2 Department of Earth Sciences, University of Western Ontario, London, ON N6A5B7, Canada, 3 European Center for Geodynamics and Seismology and 4 National Museum of Natural History, Rue Josy Welter 19, L-7256 Walferdange, Luxembourg ABSTRACT Ground subsidence in the south-western part of British Columbia, the third largest metropolitan area in Canada with over 2.2 millions of inhabitants, was measured using the Multidimensional Small Baseline Subset (MSBAS) advanced Differential Interferometric Synthetic Aperture Radar (DInSAR). The MSBAS (Samsonov and dOreye, 2012) software calculates two dimensional time series of ground deformation from multiple DInSAR data sets acquired with various acquisition parameters (e.g. spatial and temporal resolution and coverage, wavelength, azimuth and incidence angles). The two dimensional time series produced here have improved temporal resolution, almost uninterrupted coverage and lower noise. The Synthetic Aperture Radar (SAR) data used in this study consists of seven independent sets: one ascending and one descending ERS-1/2 and ENVISAT frames, together spanning July September 2010, and three RADARSAT-2 frames spanning February October During the July 1995 period October 2012 we observed fast ground subsidence with a maximum rate greater than -2 cm/year in the Greater Vancouver region that includes the Fraser River delta and the cities of Burnbary, Richmond, Surrey, and Vancouver. The fastest subsidence was observed beneath the Vancouver International Airport and around agricultural and industrial regions. Rapid sub-centimeter ground deformation also occurred during the summer and fall of These time series suggest that the subsidence rate at the studied regions does not decrease with time as suggested in previous studies but actually increases. The long term impact of subsidence on infrastructure can be significant and needs to be investigated further. ACKNOWLEDGEMENT: We thank the Canadian Space Agency (CSA) for providing RADARSAT-2 data and the European Space Agency (ESA) for providing ENVISAT data under projects C1P.7244 and C1P Figures were plotted with GMT and Gnuplot software and statistical analysis was performed with R software. The work of PG was supported by Banting Postdoctoral Fellowship. The work of KFT was supported by an NSERC Discovery Grant REFERENCES: Samsonov S., dOreye N., González P., and Tiampo. K., 2013 Ground deformation in the Greater Vancouver region from two decades of ERS-ENVISAT-RADARSAT-2 DInSAR measurements, submitted to Remote sensing of Environment Samsonov S. and dOreye N., 2012, Multidimensional time series analysis of ground deformation from multiple InSAR data sets applied to Virunga Volcanic Province, Geophysical Journal International, 191 (3), , DOI: /j X x STUDY AREA IN BRITISH COLUMBIA Greater Vancouver region studied here is outlined in brown. In black SAR frames used in this study: RADARSAT-2 Fine Quad 2 (FQ2), Fine 2 Near (F2N), Multi-Look Fine 21 (MF21), and ERS-1/2 and ENVISAT ascending track 392 and descending track 199. Cities: B - Burnaby, R - Richmond, S - Surrey, V - Vancouver. Red star shows location of Vancouver International Airport (YVR). MSBAS PROCESSING FLOWCHART Above: Flowchart diagram of MSBAS processing algorithm. First three processing steps in left column outlined with dashed line are performed outside of this software. The three processing steps outlined with thick line are mandatory and cannot be manipulated. Remaining processing steps outlined with thin boundary can be manipulated by specifying appropriate processing flags (*_FLAG). SAR DATASETS USED IN THIS STUDY Left: SAR data sets used in this study: ERS-1/2 and ENVISAT ascending track 392 and descending track 199, RADARSAT-2 Multi-Look Fine 21 (MF21), Fine Quad 2 (FQ2), and Fine 2 Near (F2N); time span (in YYYYMMDD format), range-azimuth resolution (extracted from SAR data headers), azimuth Θ and incidence φ angles, number of available SAR images N (206 different acquisition dates), and number of calculated interferograms M for each data set. CORRELATION PLOT DEF. RATE HISTOGRAM Correlation plots between linear deformation rates normalized by incidence angle (1/cos φ), for three independent SBAS linear deformation rates (not shown here) for each RADARSAT-2 frame and vertical component of MSBAS. (b) Histogram of MSBAS vertical deformation rates from, red arrows show 2σ confidence interval, mode of distribution is equal to 0.08 cm/year.} ERROR ANALYSIS Correlation coefficient and root mean square error (RMSE) between normalized by incidence angle (1/cos φ) linear deformation rates for independent SBAS results (not shown here) for each RADARSAT-2 and ERS-ENVISAT beams and vertical component of MSBAS VERTICAL LINEAR DEFORMATION RATE RADARSAT-2 DATA VERTICAL LINEAR DEFORMATION RATE ERS-ENVISAT-RADARSAT-2 DATA February October 2012 RADARSAT-2 (left) and July October 2012 ERS-ENVISAT-RADARSAT-2 (right) vertical linear deformation rate calculated with MSBAS technique (Samsonov and dOreye, 2012). Subsidence rates were clipped for clarity to maximum values [- 0.5;0.5] cm/year. For points P1-P12 and F1-F12 (P implies partial and F implies full time period) time series of ground deformation are presented below. Cities Burnaby, Richmond, Surrey and Vancouver are shown. BRNB - GPS station, R - reference region considered as stable during MSBAS processing, YVR - Vancouver International Airport DEFORMATION TIME SERIES RADARSAT-2 DATA DEFORMATION TIME SERIES ERS-ENVISAT-RADARSAT-2 DATA RADARSAT-2 (left) and ERS-ENVISAT-RADARSAT-2 (right) time series of ground deformation calculated for twelve points experiencing fast subsidence. Vertical (in green) and horizontal east-west (in red) time series are shown. Note that points locations vary between two plots. HORIZONTAL GRADIENT Horizontal gradient of vertical linear deformation rate map calculated from RADARSAT-2 data during February October 2012 with MSBAS. Regions of large gradient are susceptible to damage due to ground deformation. Note that a non-linear scale is used. SUMMARY Performed processing of ERS-ENVISAT-RADARSAT-2 SAR data spanning consisting of 218 SLC images and over 800 interferograms. Identified localized regions of subsidence with maximum rate 3 cm/year with precision of cm/year or better. Fastest subsidence is observed around the Vancouver International Airport (YVR). Time series of ground deformation show steady subsidence during the entire observation period. Moderate acceleration of subsidence to a current rate is observed during around the Vancouver International Airport (YVR). Acceleration of subsidence is also observed after 2009 at points P9- P10. Sub-centimeter periodic horizontal motion is also observed. Horizontal gradient of vertical linear deformation rate identified regions susceptible to damage due to ground deformation.