Terrafirma: a Pan-European Terrain motion hazard information service.
|
|
- Norah Montgomery
- 5 years ago
- Views:
Transcription
1 Terrafirma: a Pan-European Terrain motion hazard information service The Future of Terrafirma - Wide Area Product Nico Adam and Alessandro Parizzi DLR Oberpfaffenhofen Terrafirma User Workshop, Essen, 22 March 2011 Page 1
2 Introduction What is the Wide Area Product (WAP)? Challenges in processing wide areas Summary Page 2
3 What is the WAP? Subsidence monitoring product with Pan-European coverage It is a mosaic of single full fame stacks 100 Km x 100 Km per stack for actual sensors e.g. ERS and 250 Km x 250 Km per stack for Sentinel-1 interferometric wide swath mode. It is based on PSI long time phase stable point scatterers are used for the estimation, no use of additional distributed scatterers or SBAS processing, the deformation information is irregular sampled, the quality of the estimate varies spatially (e.g. quality is reduced over rural areas) and in some areas the deformation information can be missing. Page 3
4 What is the WAP? Subsidence monitoring product with Pan-European coverage It is a mosaic of single full fame stacks 100 Km x 100 Km per stack for actual sensors e.g. ERS and 250 Km x 250 Km per stack for Sentinel-1 interferometric wide swath mode. It is based on PSI long time phase stable point scatterers are used for the estimation, no use of additional distributed scatterers or SBAS processing, the deformation information is irregular sampled, the quality of the estimate varies spatially (e.g. quality is reduced over rural areas) and in some areas the deformation information can be missing. Page 4
5 What is the WAP? It is easy to interpret estimated and provided motion is restricted to a linear deformation model. it maintains high resolution information (i.e. no spatial averaging of persistent scatterers) each point is characterised by: latitude, longitude, PS height with respect to the World Geodetic System 1984 (WGS 84), PU the average velocity and a quality indicator. It includes a preview for the characterisation of the test site. map can be reduced in resolution. could be named motion zone map. 0.3 mm 1 year std. dev. of slope uncertainty: 0.3 mm/y Page 5
6 What is the WAP? It is easy to interpret estimated and provided motion is restricted to a linear deformation model. it maintains high resolution information (i.e. no spatial averaging of persistent scatterers) each point is characterised by: latitude, longitude, PS height with respect to the World Geodetic System 1984 (WGS 84), the average velocity and a quality indicator. It includes a preview for the characterisation of the test site. map can be reduced in resolution. 0.3 mm 1 year std. dev. of slope uncertainty: 0.3 mm/y could be named motion zone map. Page 6
7 What is the WAP? It is easy to interpret estimated and provided motion is restricted to a linear deformation model. it maintains high resolution information (i.e. no spatial averaging of persistent scatterers) each point is characterised by: latitude, longitude, PS height with respect to the World Geodetic System 1984 (WGS 84), the average velocity and a quality indicator. It includes a preview for the characterisation of the test site. map can be reduced in resolution. could be named motion zone map. Page 7
8 What is the WAP? It is easy to interpret estimated and provided motion is restricted to a linear deformation model. it maintains high resolution information (i.e. no spatial averaging of persistent scatterers) each point is characterised by: latitude, longitude, PS height with respect to the World Geodetic System 1984 (WGS 84), the average velocity and a quality indicator. It includes a preview for the characterisation of the test site. map can be reduced in resolution. could be named motion zone map. Page 8
9 What is the WAP? It does not deliver internal data e.g.: Time series, Atmospheric correction, DEM updates. It combines acquisitions taken from one path direction alone No combination of ascending and descending. It is automatically generated It is not hand tuned in difficult situations. It is reduced in cost compared to the existing Terrafirma H1 product. Currently, 25K per stack of 100 Km x 100 Km. Processing costs are subject of optimization in order to lower the price in the future. Page 9
10 What is the WAP? It does not deliver internal data e.g.: Time series, Atmospheric correction, DEM updates. It combines acquisitions taken from one path direction alone No combination of ascending and descending. It is automatically generated It is not hand tuned in difficult situations. It is reduced in cost compared to the existing Terrafirma H1 product. Currently, 25K per stack of 100 Km x 100 Km. Processing costs are subject of optimization in order to lower the price in the future. Page 10
11 What is the WAP? Standard product for Sentinel-1 Two satellites Launch of Sentinel-1A envisaged in 2013 Launch of Sentinel-1B in (few years later) Repeat cycle: 12 days (6 days S-1A / S-1B) Nominal lifetime: 7 years each Sentinel-1: TOPS acquisition mode Page 11
12 What is the WAP? Standard product for Sentinel-1 Sentinel-1: TOPS acquisition mode TOPS is an acronym: Terrain Observation by Progressive Scans Wide swath coverage similar to ScanSAR however: No scalloping (periodical amplitude modulation) No azimuth varying resolution No azimuth varying ambiguity ratio No azimuth varying Noise Equivalent σ km 5m 20m Page 12
13 What is the actual WAP? Standard product for Sentinel-1 Terrafirma provides preview on Sentinel 1 wide area monitoring Data from ERS instead of Sentinel-1 Similar Resolution Wavelength: C-Band incidence angle [deg] Envisat/ASAR IS4 IS5 IS6 IS7 ground range [km] TOPS Different Coverage Incidence angle Repeat cycle: 35 vs. 12/6 days (factor 3 6) TOPS (scan synchronisation) Wavelength: 5.56 vs cm ERS IS1 IS2 IS3 S-1A Page 13
14 Terrafirma: A Pan-European Terrain Motion Hazard Information Service Light Pollution Map PS Candidates Map North Germany Romania Tuscany Sofia/Bukarest NAF Albania Page 14 North Greek
15 Challenge in processing wide areas Data amount (20x20 km 100x100 km) Difficult atmosphere compensation Low PS density Spatially varying PS quality Spatial error propagation Compensation by new techniques Atmospheric effect mitigation L1 and L2 Norm Network Inversion Robust and operator free processing Page 15
16 Challenge in processing wide areas Data amount (20x20 km 100x100 km) Difficult atmosphere compensation Low PS density Spatially varying PS quality Spatial error propagation Compensation by new techniques Atmospheric effect mitigation L1 and L2 Norm Network Inversion Robust and operator free processing Page 16
17 Challenge in processing wide areas Data amount (20x20 km 100x100 km) Difficult atmosphere compensation Low PS density Spatially varying PS quality Spatial error propagation Compensation by new techniques Atmospheric effect mitigation L1 and L2 Norm Network Inversion Robust and operator free processing Page 17
18 Challenge in processing wide areas No error propagation Data amount (20x20 km 100x100 km) Difficult atmosphere compensation Low PS density Spatially varying PS quality Spatial error propagation Compensation by new techniques Atmospheric effect mitigation L1 and L2 Norm Network Inversion Global error propagation Robust and operator free processing mm/year Page 18
19 PSI Reference Network: Least Redundancy Three arcs per PS Maximum distance: 1km Strong error propagation Unestimated areas High standard deviation Page 19
20 PSI Reference Network: High Redundancy Ca. 10 arcs per PS Maximum distance: 1km Huge network matrix High memory consumption High computational load Page 20
21 New Algorithms: PSI Reference Network L1- and L2- norm integration Huge number of variables: # PSs is # unknown * connectivity is equations Page 21
22 Difficulties: Temporal Variability Temporal data support 35days 12/6 days Trade-off between simple and suitable deformation model Page 22
23 Summary WAP: Wide Area Product (PSI based) Subsidence monitoring product with Pan-European coverage Many algorithmic updates L1- and L2- norm integration Mitigation of atmospheric effects Delivery of preview in summer Page 23
The STUN algorithm for Persistent Scatterer Interferometry
[1/27] The STUN algorithm for Persistent Scatterer Interferometry Bert Kampes, Nico Adam 1. Theory 2. PSIC4 Processing 3. Conclusions [2/27] STUN Algorithm Spatio-Temporal Unwrapping Network (STUN) 4 1D
More informationGMES TERRAFIRMA. Validation of existing processing chains in Terrafirma stage 2 LIST OF OSP DELIVERABLES EXTENDED
GMES TERRAFIRMA ESRIN/Contract no. 19366/05/I-E Validation of existing processing chains in Terrafirma stage 2 LIST OF OSP DELIVERABLES EXTENDED 5 th July 2007 Final version - ERS M. Crosetto, M. Agudo
More informationPSI Precision, accuracy and validation aspects
PSI Precision, accuracy and validation aspects Urs Wegmüller Charles Werner Gamma Remote Sensing AG, Gümligen, Switzerland, wegmuller@gamma-rs.ch Contents Aim is to obtain a deeper understanding of what
More informationSentinel-1 Toolbox. TOPS Interferometry Tutorial Issued May 2014
Sentinel-1 Toolbox TOPS Interferometry Tutorial Issued May 2014 Copyright 2015 Array Systems Computing Inc. http://www.array.ca/ https://sentinel.esa.int/web/sentinel/toolboxes Interferometry Tutorial
More informationInSAR Operational and Processing Steps for DEM Generation
InSAR Operational and Processing Steps for DEM Generation By F. I. Okeke Department of Geoinformatics and Surveying, University of Nigeria, Enugu Campus Tel: 2-80-5627286 Email:francisokeke@yahoo.com Promoting
More informationThis article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and
This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution
More informationInterferometric Evaluation of Sentinel-1A TOPS data
Interferometric Evaluation of Sentinel-1A TOPS data N. Yague-Martinez, F. Rodriguez Gonzalez, R. Brcic, R. Shau Remote Sensing Technology Institute. DLR, Germany ESTEC/Contract No. 4000111074/14/NL/MP/lf
More informationFirst TOPSAR image and interferometry results with TerraSAR-X
First TOPSAR image and interferometry results with TerraSAR-X A. Meta, P. Prats, U. Steinbrecher, R. Scheiber, J. Mittermayer DLR Folie 1 A. Meta - 29.11.2007 Introduction Outline TOPSAR acquisition mode
More informationPSIC-4 validation activities
Fringe 2005, Frascati PSIC-4 validation activities Raucoules D., Crosetto M., Engdalh M., Bourgine B., Bremmer C., De Michele M., Dommanget J.M., Tragheim D., Bateson L., Veldkamp H. Background: Persistent
More informationGround deformation monitoring at the Phlegrean Fields (Naples, Italy) from the exploitation of SAR data in the framework of CAT-1 and DUP activities
S. Borgström, I. Aquino, C. Del Gaudio, C. Ricco, V. Siniscalchi, G. Solaro, P. Tizzani & G.P. Ricciardi I.N.G.V. Osservatorio Vesuviano - Via Diocleziano 328, 80124 Naples, Italy INTRODUCTION CAT-1 1065
More informationCombining Airborne LIDAR and Satellite RADAR for a Dynamic DEM. Ramon Hanssen, Delft University of Technology
Combining Airborne LIDAR and Satellite RADAR for a Dynamic DEM Ramon Hanssen, Delft University of Technology 1 Release 27 September 2 Land surface elevation H(t) = H(t 0 ) + dh(dt) dt Elevation at time
More informationON THE USE OF POINT TARGET CHARACTERISTICS IN THE ESTIMATION OF LOW SUBSIDENCE RATES DUE TO GAS EXTRACTION IN GRONINGEN, THE NETHERLANDS
ON THE USE OF POINT TARGET CHARACTERISTICS IN THE ESTIMATION OF LOW SUBSIDENCE RATES DUE TO GAS EXTRACTION IN GRONINGEN, THE NETHERLANDS ABSTRACT Gini Ketelaar (1), Freek van Leijen (1), Petar Marinkovic
More informationMULTI-TEMPORAL INTERFEROMETRIC POINT TARGET ANALYSIS
MULTI-TEMPORAL INTERFEROMETRIC POINT TARGET ANALYSIS U. WEGMÜLLER, C. WERNER, T. STROZZI, AND A. WIESMANN Gamma Remote Sensing AG. Thunstrasse 130, CH-3074 Muri (BE), Switzerland wegmuller@gamma-rs.ch,
More informationIn addition, the image registration and geocoding functionality is also available as a separate GEO package.
GAMMA Software information: GAMMA Software supports the entire processing from SAR raw data to products such as digital elevation models, displacement maps and landuse maps. The software is grouped into
More informationCombination of GNSS and InSAR for Future Australian Datums
Combination of GNSS and InSAR for Future Australian Datums Thomas Fuhrmann, Matt Garthwaite, Sarah Lawrie, Nick Brown Interferometric Synthetic Aperture Radar Motivation Current situation Static Datum:
More informationSentinel-1 Toolbox. Interferometry Tutorial Issued March 2015 Updated August Luis Veci
Sentinel-1 Toolbox Interferometry Tutorial Issued March 2015 Updated August 2016 Luis Veci Copyright 2015 Array Systems Computing Inc. http://www.array.ca/ http://step.esa.int Interferometry Tutorial The
More informationInterferometry Tutorial with RADARSAT-2 Issued March 2014 Last Update November 2017
Sentinel-1 Toolbox with RADARSAT-2 Issued March 2014 Last Update November 2017 Luis Veci Copyright 2015 Array Systems Computing Inc. http://www.array.ca/ http://step.esa.int with RADARSAT-2 The goal of
More informationAMBIGUOUS PSI MEASUREMENTS
AMBIGUOUS PSI MEASUREMENTS J. Duro (1), N. Miranda (1), G. Cooksley (1), E. Biescas (1), A. Arnaud (1) (1). Altamira Information, C/ Còrcega 381 387, 2n 3a, E 8037 Barcelona, Spain, Email: javier.duro@altamira
More informationSENTINEL-1 SUPPORT IN THE GAMMA SOFTWARE
SENTINEL-1 SUPPORT IN THE GAMMA SOFTWARE Urs Wegmüller, Charles Werner, Tazio Strozzi, Andreas Wiesmann, Othmar Frey, and Maurizio Santoro Gamma Remote Sensing, Worbstrasse 225, 3073 Gümligen BE, Switzerland
More informationMULTI-TEMPORAL SAR DATA FILTERING FOR LAND APPLICATIONS. I i is the estimate of the local mean backscattering
MULTI-TEMPORAL SAR DATA FILTERING FOR LAND APPLICATIONS Urs Wegmüller (1), Maurizio Santoro (1), and Charles Werner (1) (1) Gamma Remote Sensing AG, Worbstrasse 225, CH-3073 Gümligen, Switzerland http://www.gamma-rs.ch,
More informationTANDEM-X: DEM ACQUISITION IN THE THIRD YEAR ERA
TANDEM-X: DEM ACQUISITION IN THE THIRD YEAR ERA D. Borla Tridon, M. Bachmann, D. Schulze, C. J. Ortega Miguez, M. D. Polimeni, M. Martone and TanDEM-X Team Microwaves and Radar Institute, DLR 5 th International
More informationMission Status and Data Availability: TanDEM-X
Mission Status and Data Availability: TanDEM-X Irena Hajnsek, Thomas Busche, Alberto Moreira & TanDEM-X Team Microwaves and Radar Institute, German Aerospace Center irena.hajnsek@dlr.de 26-Jan-2009 Outline
More informationGMES TERRAFIRMA: VALIDATION OF PSI FOR USERS RESULTS OF THE PROVENCE INTER-COMPARISON
GMES TERRAFIRMA: VALIDATION OF PSI FOR USERS RESULTS OF THE PROVENCE INTER-COMPARISON Crosetto, M. (1), Agudo, M. (1), Capes, R. (2), Marsh, S. (3) (1) Institute of Geomatics, Parc Mediterrani de la Tecnologia,
More informationIndividual Interferograms to Stacks
Individual Interferograms to Stacks Piyush Agram Jet Propulsion Laboratory Aug 1, 2016 @UNAVCO Thanks to my colleagues from JPL, Caltech, Stanford University and from all over the world for providing images
More informationIndividual Interferograms to Stacks!
Individual Interferograms to Stacks! Piyush Agram! Jet Propulsion Laboratory!! Jun 29, 2015! @UNAVCO! Thanks to my colleagues from JPL, Caltech, Stanford University and from all over the world for providing
More informationARTIFICIAL SCATTERERS FOR S.A.R. INTERFEROMETRY
ARTIFICIAL SCATTERERS FOR S.A.R. INTERFEROMETRY Parizzi A. (1), Perissin D. (1), Prati C. (1), Rocca F. (1) (1) Politecnico di Milano, Via Ponzio 34/5, 20133 Milano, Italy ABSTRACT. The evaluation of land
More informationGAMMA Interferometric Point Target Analysis Software (IPTA): Users Guide
GAMMA Interferometric Point Target Analysis Software (IPTA): Users Guide Contents User Handbook Introduction IPTA overview Input data Point list generation SLC point data Differential interferogram point
More informationRepeat-pass SAR Interferometry Experiments with Gaofen-3: A Case Study of Ningbo Area
Repeat-pass SAR Interferometry Experiments with Gaofen-3: A Case Study of Ningbo Area Tao Zhang, Xiaolei Lv, Bing Han, Bin Lei and Jun Hong Key Laboratory of Technology in Geo-spatial Information Processing
More informationTHE STUN ALGORITHM FOR PERSISTENT SCATTERER INTERFEROMETRY. Bert M. Kampes, Nico Adam
THE STUN ALGORITHM FOR PERSISTENT SCATTERER INTERFEROMETRY Bert M. Kampes, Nico Adam German Aerospace Center (DLR) Oberpfaffenhofen; 82234 Wessling, Germany; Bert.K.ampes@dlr.de ABSTRACT The Spatio-Temporal
More informationLateral Ground Movement Estimation from Space borne Radar by Differential Interferometry.
Lateral Ground Movement Estimation from Space borne Radar by Differential Interferometry. Abstract S.Sircar 1, 2, C.Randell 1, D.Power 1, J.Youden 1, E.Gill 2 and P.Han 1 Remote Sensing Group C-CORE 1
More informationTHREE DIMENSIONAL SAR TOMOGRAPHY IN SHANGHAI USING HIGH RESOLU- TION SPACE-BORNE SAR DATA
THREE DIMENSIONAL SAR TOMOGRAPHY IN SHANGHAI USING HIGH RESOLU- TION SPACE-BORNE SAR DATA Lianhuan Wei, Timo Balz, Kang Liu, Mingsheng Liao LIESMARS, Wuhan University, 129 Luoyu Road, 430079 Wuhan, China,
More informationPersistent Scatterers Interferomatry Independent Validation and Intercomparison of Results. Executive Summary
Persistent Scatterers Interferomatry Independent Validation and Intercomparison of Results. Executive Summary BRGM/RP-55640 -FR June 2007 2 PSIC4 Persistent Scatterer Interferometry Independent Validation
More informationWIDE BASELINE INTERFEROMETRY WITH VERY LOW RESOLUTION SAR SYSTEMS
1 of 25 26/03/2008 22.35 ne previo WIDE BASELINE INTERFEROMETRY WITH VERY LOW RESOLUTION SAR SYSTEMS Abstract: A. Monti Guarnieri, C. Prati, F. Rocca and Y-L. Desnos (*) Dipartimento di Elettronica e Informazione
More informationABSTRACT 1. INTRODUCTION
The PSIG procedure to Persistent Scatterer Interferometry (PSI) using X-band and C-band Sentinel-1 data María Cuevas-González* a, Núria Devanthéry a, Michele Crosetto a, Oriol Monserrat a, Bruno Crippa
More information10.1 Conversions. Grid to Geodetic
10.1 Conversions Geodetic conversions work with the current geodetic settings. Convert grid coordinates to geodetic (Latitude/Longitude) or vice versa with any of the available projections. All results
More informationDigital Processing of Synthetic Aperture Radar Data
Digital Processing of Synthetic Aperture Radar Data Algorithms and Implementation Ian G. Cumming Frank H. Wong ARTECH HOUSE BOSTON LONDON artechhouse.com Contents Foreword Preface Acknowledgments xix xxiii
More informationGeometric and Radiometric Calibration of RADARSAT Images. David Small, Francesco Holecz, Erich Meier, Daniel Nüesch, and Arnold Barmettler
RADARSAT Terrain Geocoding and Radiometric Correction over Switzerland Geometric and Radiometric Calibration of RADARSAT Images David Small, Francesco Holecz, Erich Meier, Daniel Nüesch, and Arnold Barmettler
More informationGMES TERRAFIRMA. Validation of existing processing chains in Terrafirma stage 2. Final report
GMES TERRAFIRMA ESRIN/Contract no. 19366/05/I-E Validation of existing processing chains in Terrafirma stage 2 Final report 23 th May 2008 Draft version 1 M. Crosetto, O. Monserrat (IG) N. Adam, A. Parizzi
More informationThe 2017 InSAR package also provides support for the generation of interferograms for: PALSAR-2, TanDEM-X
Technical Specifications InSAR The Interferometric SAR (InSAR) package can be used to generate topographic products to characterize digital surface models (DSMs) or deformation products which identify
More informationSentinel-1 Toolbox. Offset Tracking Tutorial Issued August Jun Lu Luis Veci
Sentinel-1 Toolbox Offset Tracking Tutorial Issued August 2016 Jun Lu Luis Veci Copyright 2016 Array Systems Computing Inc. http://www.array.ca/ http://step.esa.int Offset Tracking Tutorial The goal of
More informationSUBSIDENCE MONITORING USING CONTIGUOUS AND PS-INSAR: QUALITY ASSESSMENT BASED ON PRECISION AND RELIABILITY
Proceedings, 11 th FIG Symposium on Deformation Measurements, Santorini, Greece, 2003. SUBSIDENCE MONITORING USING CONTIGUOUS AND PS-INSAR: QUALITY ASSESSMENT BASED ON PRECISION AND RELIABILITY Ramon F.
More informationALOS-PALSAR performances on a multiple sensor DInSAR scenario for deformation monitoring
ALOS-PALSAR performances on a multiple sensor DInSAR scenario for deformation monitoring Pablo Blanco, Roman Arbiol and Vicenç Palà Remote Sensing Department Institut Cartogràfic de Catalunya (ICC) Parc
More informationGenerate Glacier Velocity Maps with the Sentinel-1 Toolbox
Making remote-sensing data accessible since 1991 Generate Glacier Velocity Maps with the Sentinel-1 Toolbox Adapted from the European Space Agency s STEP community platform In this document you will find:
More informationTerraSAR-X Applications Guide
TerraSAR-X Applications Guide Extract: Digital Elevation Models April 2015 Airbus Defence and Space Geo-Intelligence Programme Line Digital Elevation Models Issue Digital Elevation Models (DEM) are used
More informationIDENTIFICATION OF THE LOCATION PHASE SCREEN OF ERS-ENVISAT PERMANENT SCATTERERS
IDENTIFICATION OF THE LOCATION PHASE SCREEN OF ERS-ENVISAT PERMANENT SCATTERERS M. Arrigoni (1), C. Colesanti (1), A. Ferretti (2), D. Perissin (1), C. Prati (1), F. Rocca (1) (1) Dipartimento di Elettronica
More informationThe Staggered SAR Concept: Imaging a Wide Continuous Swath with High Resolution
The Staggered SAR Concept: Imaging a Wide Continuous Swath with High Resolution Michelangelo Villano *, Gerhard Krieger *, Alberto Moreira * * German Aerospace Center (DLR), Microwaves and Radar Institute
More informationScene Matching on Imagery
Scene Matching on Imagery There are a plethora of algorithms in existence for automatic scene matching, each with particular strengths and weaknesses SAR scenic matching for interferometry applications
More informationDEFORMATION MONITORING OF URBAN INFRASTRUCTURE BY TOMOGRAPHIC SAR USING MULTI-VIEW TERRASAR-X DATA STACKS
DEFORMATION MONITORING OF URBAN INFRASTRUCTURE BY TOMOGRAPHIC SAR USING MULTI-VIEW TERRASAR-X DATA STACKS Sina Montazeri (1), Xiao Xiang Zhu (1,2), Michael Eineder (1,2), Ramon F. Hanssen (3), Richard
More informationAirborne Differential SAR Interferometry: First Results at L-Band
1516 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 41, NO. 6, JUNE 2003 Airborne Differential SAR Interferometry: First Results at L-Band Andreas Reigber, Member, IEEE, and Rolf Scheiber Abstract
More informationInterdisciplinary Approach to Design, Analysis, and Modeling of Deformation Surveys
Interdisciplinary Approach to Design, Analysis, and Modeling of Deformation Surveys Anna Szostak-Chrzanowski and Adam Chrzanowski Canadian Centre for Geodetic Engineering University of New Brunswick Fredericton,
More informationInterferometric processing. Rüdiger Gens
Rüdiger Gens Why InSAR processing? extracting three-dimensional information out of a radar image pair covering the same area digital elevation model change detection 2 Processing chain 3 Processing chain
More informationA GLOBAL BACKSCATTER MODEL FOR C-BAND SAR
A GLOBAL BACKSCATTER MODEL FOR C-BAND SAR Daniel Sabel (1), Marcela Doubková (1), Wolfgang Wagner (1), Paul Snoeij (2), Evert Attema (2) (1) Vienna University of Technology, Institute of Photogrammetry
More informationCoherence Based Polarimetric SAR Tomography
I J C T A, 9(3), 2016, pp. 133-141 International Science Press Coherence Based Polarimetric SAR Tomography P. Saranya*, and K. Vani** Abstract: Synthetic Aperture Radar (SAR) three dimensional image provides
More informationDEFORMATION MEASUREMENT USING INTERFEROMETRIC SAR DATA
DEFORMATION MEASUREMENT USING INTERFEROMETRIC SAR DATA M. Crosetto Institute of Geomatics, Campus de Castelldefels, 08860 Castelldefels (Barcelona), Spain - michele.crosetto@ideg.es Commission II, WG II/2
More informationQuality of the TanDEM-X DEM
Quality of the TanDEM-X DEM Manfred Zink, Markus Bachmann, Thomas Fritz, Paola Rizzoli, Daniel Schulze, Birgit Wessel CEOS SAR 2016 07-09 September 2016 Tokyo Denki University, Japan TerraSAR-X-add-on
More informationTHE PERMANENT SCATTERERS TECHNIQUE. Sept. 3, 2007 Lecture D1L7 Terrain Motion Rocca
THE PERMANENT SCATTERERS TECHNIQUE 1 Problems in Differential SAR Interferometry Overcoming the main limits of SAR interferometry Lack of coherence mainly due to temporal and geometrical decorrelation
More informationAPPLICATION OF SAR INTERFEROMETRIC TECHNIQUES FOR SURFACE DEFORMATION MONITORING
APPLICATION OF SAR INTERFEROMETRIC TECHNIQUES FOR SURFACE DEFORMATION MONITORING Urs Wegmüller, Charles Werner, Tazio Strozzi, and Andreas Wiesmann Gamma Remote Sensing, Worbstrasse 225, 3073 Gümligen,
More informationNavigation for Future Space Exploration Missions Based on Imaging LiDAR Technologies. Alexandre Pollini Amsterdam,
Navigation for Future Space Exploration Missions Based on Imaging LiDAR Technologies Alexandre Pollini Amsterdam, 12.11.2013 Presentation outline The needs: missions scenario Current benchmark in space
More informationSAR time series. JM Nicolas F. Tupin
SAR time series JM Nicolas F. Tupin Context Golden age of SAR sensors: improved spatial, polarimetric and temporal resolutions CSK TerraSAR-X Sentinel I RadarSAT-2 page 1 SAR sensors resolutions Polarimetric
More informationGMES TERRAFIRMA. ESRIN/Contract no /03/I-IW. S5: Service Portfolio Specifications Version 2.02 April Geraint Cooksley NPA
GMES TERRAFIRMA ESRIN/Contract no. 17059/03/I-IW S5: Service Portfolio Specifications Version 2.02 April 2004 Geraint Cooksley NPA Contributors to Dossier Altamira, Arup, BGS, BRGM, ENEL, Gamma, NPA, SciSys,
More informationRADARGRAMMETRY AND INTERFEROMETRY SAR FOR DEM GENERATION
RADARGRAMMETRY AND INTERFEROMETRY SAR FOR DEM GENERATION Jung Hum Yu 1, Xiaojing Li, Linlin Ge, and Hsing-Chung Chang School of Surveying and Spatial Information Systems University of New South Wales,
More informationRESOLUTION enhancement is achieved by combining two
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 3, NO. 1, JANUARY 2006 135 Range Resolution Improvement of Airborne SAR Images Stéphane Guillaso, Member, IEEE, Andreas Reigber, Member, IEEE, Laurent Ferro-Famil,
More informationThree critical concerns for marine seismics with portable systems. Source strength and tuning Streamer length 2D vs. 3D
Three critical concerns for marine seismics with portable systems Source strength and tuning Streamer length 2D vs. 3D Airgun Source Single airgun Multiple airguns signal strength volume 1/3 1 x (200 in
More informationDINSAR: Differential SAR Interferometry
DINSAR: Differential SAR Interferometry Fabio Rocca 1 SAR interferometric phase: ground motion contribution If a scatterer on the ground slightly changes its relative position in the time interval between
More informationIce Cover and Sea and Lake Ice Concentration with GOES-R ABI
GOES-R AWG Cryosphere Team Ice Cover and Sea and Lake Ice Concentration with GOES-R ABI Presented by Yinghui Liu 1 Team Members: Yinghui Liu 1, Jeffrey R Key 2, and Xuanji Wang 1 1 UW-Madison CIMSS 2 NOAA/NESDIS/STAR
More informationTerraS ar-x / T ande M-X Capabilities & Utility
TerraS ar-x / T ande M-X Capabilities & Utility Dr. Oliver Lang Infoterra Germany Astrium Services GEO-Information Services Mailing: 88039 Friedrichshafen Germany Tel +49-7545-8-5520 Fax +49 7545-8-1337
More informationDeformation Monitoring Using Sentinel-1 SAR Data
Proceedings Deformation Monitoring Using Sentinel-1 SAR Data Núria Devanthéry 1, *, Michele Crosetto 1, Oriol Monserrat 1, María Cuevas-González 1 and Bruno Crippa 2 1 Centre Tecnològic de Telecomunicacions
More informationURBAN FOOTPRINT MAPPING WITH SENTINEL-1 DATA
URBAN FOOTPRINT MAPPING WITH SENTINEL-1 DATA Data: Sentinel-1A IW SLC 1SSV: S1A_IW_SLC 1SSV_20160102T005143_20160102T005208_009308_00D72A_849D S1A_IW_SLC 1SSV_20160126T005142_20160126T005207_009658_00E14A_49C0
More informationA new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers
GEOPHYSICAL RESEARCH LETTERS, VOL. 31, L23611, doi:10.1029/2004gl021737, 2004 A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers Andrew Hooper,
More informationSEA SURFACE SPEED FROM TERRASAR-X ATI DATA
SEA SURFACE SPEED FROM TERRASAR-X ATI DATA Matteo Soccorsi (1) and Susanne Lehner (1) (1) German Aerospace Center, Remote Sensing Technology Institute, 82234 Weßling, Germany, Email: matteo.soccorsi@dlr.de
More informationExperimental Radar Modes with TerraSAR-X and TanDEM-X
Experimental Radar Modes with TerraSAR-X and TanDEM-X U. Steinbrecher 1, S. Baumgartner 1, S. Suchandt 2, S. Wollstadt 1, J. Mittermayer 1, R. Scheiber 1, D. Schulze 1, H. Breit 2 1 German Aerospace Center
More informationA STATISTICAL-COST APPROACH TO UNWRAPPING THE PHASE OF INSAR TIME SERIES
A STATISTICAL-COST APPROACH TO UNWRAPPING THE PHASE OF INSAR TIME SERIES Andrew Hooper Delft Institute of Earth Observation and Space Systems, Delft University of Technology, Delft, Netherlands, Email:
More informationVALIDATION OF PERSISTENT SCATTERERS INTERFEROMETRY OVER A MINING TEST SITE: RESULTS OF THE PSIC4 PROJECT
VALIDATION OF PERSISTENT SCATTERERS INTERFEROMETRY OVER A MINING TEST SITE: RESULTS OF THE PSIC4 PROJECT Crosetto M. (1), Agudo M. (1), Raucoules D. (2), Bourgine B. (2), de Michele M. (2), Le Cozannet
More informationOperational use of the Orfeo Tool Box for the Venµs Mission
Operational use of the Orfeo Tool Box for the Venµs Mission Thomas Feuvrier http://uk.c-s.fr/ Free and Open Source Software for Geospatial Conference, FOSS4G 2010, Barcelona Outline Introduction of the
More informationALOS PALSAR VERIFICATION PROCESSOR
ALOS PALSAR VERIFICATION PROCESSOR P. Pasquali (1), A. Monti Guarnieri (2), D. D Aria (3), L. Costa (3), D. Small (4), M. Jehle (4) and B. Rosich (5) (1) sarmap s.a., Cascine di Barico, 6989 Purasca, Switzerland,
More informationHydrological network detection for SWOT data. S. Lobry, F. Cao, R. Fjortoft, JM Nicolas, F. Tupin
Hydrological network detection for SWOT data S. Lobry, F. Cao, R. Fjortoft, JM Nicolas, F. Tupin IRS SPU avril 2016 SWOT mission Large water bodies detection Fine network detection Further works page 1
More informationLINEAR AND NON-LINEAR LONG-TERM TERRAIN DEFORMATION WITH DINSAR (CPT: COHERENT PIXELS TECHNIQUE)
LINEAR AND NON-LINEAR LONG-TERM TERRAIN DEFORMATION WITH DINSAR (CPT: COHERENT PIXELS TECHNIQUE) Jordi J. Mallorquí (1), Oscar Mora (1,2), Pablo Blanco (1), Antoni Broquetas (1) (1) Universitat Politècnica
More informationDo It Yourself 8. Polarization Coherence Tomography (P.C.T) Training Course
Do It Yourself 8 Polarization Coherence Tomography (P.C.T) Training Course 1 Objectives To provide a self taught introduction to Polarization Coherence Tomography (PCT) processing techniques to enable
More informationCorrecting INS Drift in Terrain Surface Measurements. Heather Chemistruck Ph.D. Student Mechanical Engineering Vehicle Terrain Performance Lab
Correcting INS Drift in Terrain Surface Measurements Ph.D. Student Mechanical Engineering Vehicle Terrain Performance Lab October 25, 2010 Outline Laboratory Overview Vehicle Terrain Measurement System
More informationANALYSIS OF THE GEOMETRIC ACCURACY PROVIDED BY THE FORWARD GEOCODING OF SAR IMAGES
ANALYSIS OF THE GEOMETRIC ACCURACY PROVIDED BY THE FORWARD GEOCODING OF SAR IMAGES V. Karathanassi, Ch. Iossifidis, and D. Rokos Laboratory of Remote Sensing, Department of Rural and Surveying Engineering,
More information2-PASS DIFFERENTIAL INTERFEROMETRY IN THE AREA OF THE SLATINICE ABOVE- LEVEL DUMP. Milan BOŘÍK 1
2-PASS DIFFERENTIAL INTERFEROMETRY IN THE AREA OF THE SLATINICE ABOVE- LEVEL DUMP Milan BOŘÍK 1 1 Department of Mathematics, Faculty of Civil Engineering, Czech Technical University in Prague, Thákurova
More informationFiltering, unwrapping, and geocoding R. Mellors
Filtering, unwrapping, and geocoding R. Mellors or what to do when your interferogram looks like this correlation Haiti ALOS L-band (23 cm) ascend T447, F249 3/9/09-1/25/10 azimuth phase Bperp = 780 (gmtsar)
More informationifp Universität Stuttgart Performance of IGI AEROcontrol-IId GPS/Inertial System Final Report
Universität Stuttgart Performance of IGI AEROcontrol-IId GPS/Inertial System Final Report Institute for Photogrammetry (ifp) University of Stuttgart ifp Geschwister-Scholl-Str. 24 D M. Cramer: Final report
More informationSignal Processing Laboratory
C.S.L Liege Science Park Avenue du Pré-Aily B-4031 ANGLEUR Belgium Tel: +32.4.382.46.00 Fax: +32.4.367.56.13 Signal Processing Laboratory Anne Orban VITO June 16, 2011 C. Barbier : the team Remote Sensing
More informationPSIC4 Persistent Scatterers Interferometry Independent Validation and Intercomparison of Results. Final Report
PSIC4 Persistent Scatterers Interferometry Independent Validation and Intercomparison of Results. Final Report BRGM/RP-55649 -FR June 2007 2 PSIC4 Persistent Scatterer Interferometry Independent Validation
More informationSimulation of Brightness Temperatures for the Microwave Radiometer (MWR) on the Aquarius/SAC-D Mission. Salman S. Khan M.S. Defense 8 th July, 2009
Simulation of Brightness Temperatures for the Microwave Radiometer (MWR) on the Aquarius/SAC-D Mission Salman S. Khan M.S. Defense 8 th July, 2009 Outline Thesis Objective Aquarius Salinity Measurements
More informationMemorandum. Clint Slatton Prof. Brian Evans Term project idea for Multidimensional Signal Processing (EE381k)
Memorandum From: To: Subject: Date : Clint Slatton Prof. Brian Evans Term project idea for Multidimensional Signal Processing (EE381k) 16-Sep-98 Project title: Minimizing segmentation discontinuities in
More informationPS wave AVO aspects on processing, inversion, and interpretation
PS wave AVO aspects on processing, inversion, and interpretation Yong Xu, Paradigm Geophysical Canada Summary Using PS wave AVO inversion, density contrasts can be obtained from converted wave data. The
More informationMotion compensation and the orbit restitution
InSA R Contents Introduction and objectives Pi-SAR Motion compensation and the orbit restitution InSAR algorithm DEM generation Evaluation Conclusion and future work Introduction and Objectives L-band
More informationA New Method for Correcting ScanSAR Scalloping Using Forests and inter SCAN Banding Employing Dynamic Filtering
A New Method for Correcting ScanSAR Scalloping Using Forests and inter SCAN Banding Employing Dynamic Filtering Masanobu Shimada Japan Aerospace Exploration Agency (JAXA), Earth Observation Research Center
More informationCOSMO SkyMed Constellation
COSMO SkyMed Constellation The driving Mission requirements for the constellation development are the following: Capability to serve at the same time both civil and military users through a integrated
More informationSAOCOM 1A INTERFEROMETRIC ERROR MODEL AND ANALYSIS
SAOCOM A INTERFEROMETRIC ERROR MODEL AND ANALYSIS Pablo Andrés Euillades (), Leonardo Daniel Euillades (), Mario Azcueta (), Gustavo Sosa () () Instituto CEDIAC FI UNCuyo & CONICET, Centro Universitario,
More informationDLR Contributions to Spaceborne Polar Observing Systems - SAR
DLR Contributions to borne Polar Observing Systems - SAR Dana Floricioiu German Aerospace Center (DLR), Earth Observation Center (EOC) Oberpfaffenhofen, Germany TerraSAR-X / TanDEM-X Timeline TSX Launch
More informationMODIS Atmosphere: MOD35_L2: Format & Content
Page 1 of 9 File Format Basics MOD35_L2 product files are stored in Hierarchical Data Format (HDF). HDF is a multi-object file format for sharing scientific data in multi-platform distributed environments.
More informationMODULE 3 LECTURE NOTES 3 ATMOSPHERIC CORRECTIONS
MODULE 3 LECTURE NOTES 3 ATMOSPHERIC CORRECTIONS 1. Introduction The energy registered by the sensor will not be exactly equal to that emitted or reflected from the terrain surface due to radiometric and
More informationDEM Processing Chain & Data Products
DEM Processing Chain & Data Products Birgit Wessel & Mosaicking and DEM Calibration Team German Remote Sensing Data Center (DFD-DLR) TanDEM-X Science Team Meeting 2008-Nov-24 DEM Processing Chain InSAR:
More informationINSAR QUALITY CONTROL: ANALYSIS OF FIVE YEARS OF CORNER REFLECTOR TIME SERIES
INSAR QUALITY CONTROL: ANALYSIS OF FIVE YEARS OF CORNER REFLECTOR TIME SERIES Petar Marinkovic, Gini Ketelaar, Freek van Leijen, and Ramon Hanssen Delft University of Technology, Delft Institute of Earth
More informationHyperspectral Remote Sensing
Hyperspectral Remote Sensing Multi-spectral: Several comparatively wide spectral bands Hyperspectral: Many (could be hundreds) very narrow spectral bands GEOG 4110/5100 30 AVIRIS: Airborne Visible/Infrared
More informationInnovative Visual Navigation Solutions for ESA s Lunar Lander Mission Dr. E. Zaunick, D. Fischer, Dr. I. Ahrns, G. Orlando, B. Polle, E.
Lunar Lander Phase B1 Innovative Visual Navigation Solutions for ESA s Lunar Lander Mission Dr. E. Zaunick, D. Fischer, Dr. I. Ahrns, G. Orlando, B. Polle, E. Kervendal p. 0 9 th International Planetary
More informationERS AND ENVISAT DIFFERENTIAL SAR INTERFEROMETRY FOR SUBSIDENCE MONITORING
ERS AND ENVISAT DIFFERENTIAL SAR INTERFEROMETRY FOR SUBSIDENCE MONITORING Urs Wegmüller 1, Tazio Strozzi 1, and Luigi Tosi 2 1 Gamma Remote Sensing, Thunstrasse 130, CH-3074 Muri b. Bern, Switzerland Tel:
More information