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De Luca C.1,4, Cuccu R.2,3, Elefante S.1, Manunta M.1 , Zinno I.1, Rivolta G.2,3, Casola V.4, Lanari R.1, Casu F.1
P-SBAS Service within ESA G-POD platform for Unsupervised On-Demand DInSAR
processing
(1) CNR IREA, Via Diocleziano 328, 80124 Napoli (Italy) (2) ESA Research and Service Support, via Galileo Galilei, 1, 00044 Frascati (Italy) (3) Progressive Systems Srl, Parco Scientifico di Tor Vergata, 00133 Roma (Italy) (4) Università degli Studi di Napoli “Federico II”, DIETI, 80124, Napoli (Italy)
• Introduction on P-SBAS Workflow
• Grid Processing on Demand (G-POD) Environment
• Unsupervised Interferometric Service
• Experimental Results and Validation
• Conclusions and Future Work
Outline
https://geohazards-tep.eo.esa.int
• As part of the Thematic Exploitation Platform initiative, ESA is developing the GEP to bring the User closer to the data for new services and products generation
• An enhancement and harmonization of the precursor SuperSite Exploitation Platform (SSEP) and the ESA EO Virtual Archive designed to support the Geohazards Supersites and National Laboratories (GSNL).
ESA Geohazard Exploitation Platform
P-SBAS Workflow
Raw Data Focusing Raw Data Focusing Raw Data Focusing
v Raw Data Focusing
Raw Data Focusing
Raw Data Focusing Raw Data Focusing Raw Data Focusing
v Raw Data Focusing
DEM conversion
in SAR coordinates
Raw Data Focusing Raw Data Focusing Raw Data Focusing
v Raw Data Focusing SAR image geometric
registration
Interferometric image
pair selection
Raw Data Focusing Raw Data Focusing Raw Data Focusingv
Raw Data Focusing
Image coregistration
refining
Raw Data Focusing Raw Data Focusing Raw Data Focusingv
Raw Data Focusing Interferogra
ms generation
Temporal phase
unwrapping
Raw Data Focusing Raw Data Focusing Raw Data Focusing
v Raw Data Focusing
Spatial phase
unwrapping
Raw Data Focusing Raw Data Focusing Raw Data Focusing
v Raw Data Focusing
Deformation and residual topography estimation
Orbital error estimation and
removal
Displacement time series
A B C D E
Interferometric parameters evaluation
F
G L two times
K
H I J
‹› + -
The availability to the scientific community of algorithms and tools suitable to effectively exploit huge SAR data archives for generating value added space-borne products, is becoming more and more crucial.
Computing Power Web Interface
P-SBAS service Archives
G-POD User
P-SBAS on GRID Processing On Demand
Block diagram of G-POD environment
Thanks to the flexibility of the GRID architecture, G-POD can easily federate additional computing and storage resources, also in Cloud environments
• more than 350 CPUs in about 70 Nodes • 330 TB of local on-line Storage • Internal dedicated 1 Gbps LAN • 1 Gbps for external connection • Globus software on Linux
CNR-IREA nodes recently federated
Currently, computing facilities at ESRIN and UK-PAC
G-POD Computing Facilities
#Nodes #CPU RAM x Node Storage Network System
ESA 15 60 32 GB 2 TB 1Gb/s Linux
IREA 15 30 64 GB 4 TB 1Gb/s Linux
Resources dedicate to P-SBAS application
G-POD web portal of P-SBAS service (1)
Processed Area
Area of Interest (AOI)
In this situation the algorithm merges adjacent frames of the same acquisition to totally cover the user AoI.
Data Use Optimization (1)
Processed Area
Area of Interest (AOI)
This situation reduces the processing performance so that the raw data cutting became a fundamental operation.
Data Use Optimization (2)
Processed Area
Area of Interest (AOI)
Data Use Optimization (3)
This situation reduces the user AoI and it implies the automatic data rejection
Data Rejected
G-POD web portal of P-SBAS service (2)
Interferogram Generation Results Multitemporal Analisys Results
LAX 16012008-13082008 (T120)
• Interferogram Stack in SAR and GEO coordinates
• Coherence Map Stack in SAR and GEO coordinates
• Quick Look for each Interferogram
• Displacement Time Series, Mean Deformation Velocity, Temporal Coherence and Residual Topoghaphy
• Quick Look of Mean Deformation Velocity Map
Results provided by P-SBAS service
>𝝅𝝅 <-𝝅𝝅 rad
Pomona
Santa Ana
>2 <-2 cm/yr
Pomona
Santa Ana
LAX 30062004-22092010 (T120)
Unsupervised P-SBAS Implementation
Identify SAR data acquired at the same date and evaluate the possibility to merge or reject it by analysing the coverage of AoI selected by user
Identify and process only the portion of SAR data that cover the AoI Fine Co-registration by using the SRTM DEM
Identify the interferogram network for running the EMCF Phase Unwrapping
algorithm
Displacement time series reference point optimization Automatic threshold selection for identifying the final reliable measure points
Validation of the Results Ascending orbit T129
GPS IPPO ACAE RITE
StDev 0.32 0.39 0.42
IPPO
RITE
ACAE
F. Casu, M. Manzo, R. Lanari, A quantitative assessment of the SBAS algorithm performance for surface deformation retrieval from DInSAR data, Remote Sensing of Environment, Volume 102, Issues 3–4, 15 June 2006, Pages 195-210, ISSN 0034-4257, http://dx.doi.org/10.1016/j.rse.2006.01.023.
P-SBAS Service Usage
Multiple Runs
Single Run
~ 𝟓𝟓𝟓𝟓 Interferometric Analysis in the last 5 months
# WN # Images # Interf # Coherent Points Elapsed Time
4 37 90 443000 0.93 days
Average P-SBAS service processing performance
>2 <-2 cm/yr
>5 <-5 cm/yr
>13 <-13 cm/yr
>10 <-10 cm/yr
>4 <-4 cm/yr
Track 136 IS3 Track 200 IS2
Track 472 IS1
Track 343 IS7 Track 365 IS2
Hawaii Case Study
Summary
The integration of the P-SBAS chain within ESA’s G-POD environment aimed at providing a service to process the huge ESA SAR archive through DInSAR algorithms has been presented
The implemented automatic P-SBAS chain has demonstrated to run in a total unsupervised way guaranteeing the accuracy of the final results
The availability of P-SBAS chain in G-POD/GEP environment will open new challenging research scenarios for scientific community for the comprehension of surface deformation dynamics at global scale
Now the P-SBAS service provides ERS and
ENVISAT interferometric analysis separately
ERS + ENVISAT WILL BE AVAILABLE IN
JUNE
Coming Soon: ERS+ENVISAT TimeSeries
>𝝅𝝅 <-𝝅𝝅 rad
HAWAII ISLANDS Pair: 16112014 - 20022015 MissionID: S1A Mode: IW Track: 87 Orbit: Descending Baseline: 52 m Polarization: VV
S1A Interferogram generation available from June 2015
Coming Soon: S1A Interferograms
Southern Japan Time Series
Temporal Span: 21112014 - 1302015 MissionID: S1A Mode: IW Track: 163 Orbit Dir.: Desc. Polarization: VV
Coming Soon: S1A Time Series
S1A SBAS time series generation available from December 2015
>𝟏𝟏𝟏𝟏 <-𝟏𝟏𝟏𝟏
Los Deformation Velocity [cm/yr]
