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SMARTERDECISIONS
Richard Goodman
Intergraph (UK) Ltd
Measuring Change With RADAR Imagery
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Why is change measurement important
Why is change measurement important?
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Devastation caused by tornadoes in Alabama, 2011
Why is change measurement important?
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Magnitude 9.0 earthquake in Japan, 2011
Why is change measurement important?
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Mississippi river flooding in Memphis, Tennessee, 2011
UK Floods, 2007
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Why is change measurement important?
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Oil spills
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So why use RADAR data in change
measurement
The Mysterious RADAR image…
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Why use RADAR data in change measurement?
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• Active sensor• No sun illumination required
• Imagery collected in cloudy weather
• Pulse sent from sensor, reflected off features, return captured by
antenna
• SINGLE LOOK COMPLEX (SLC) data format• RADARSAT 1 / 2, COSMO-SkyMed, TerraSAR-X
• 2 bands of data
• Magnitude (strength of return)
• Phase (position of wave on return to antenna)
• Man-made features and infrastructure give
strong returns• Buildings
• Steel/metals
• Sub-surface features
Why use RADAR data in change measurement?
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• Interferometric processing• Interferometric pairs
• Make use of both magnitude and phase layers
• Coherence Change Detection (CCD)
• Differential Interferometric Displacement Mapping (D-InSAR)
• Accuracy to cm level
• Monitoring subsidence• Subsurface oil and water extraction
• Mining
• Natural disasters – earthquakes, volcanoes
• Human activities
Why use RADAR data in change measurement?
SMARTERDECISIONS
ERDAS Imagine Radar Tools
ERDAS Imagine Radar Tools
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• Radar Mapping Suite• Add-on module
• Operational software• Not a toolkit!
• Directly read data into viewer• No import required
• No resampling of data
• New Radar Analyst ribbon• Fast feature extraction
• Visualisation aids
• Interferometry tools• CCD
• D-InSAR
ERDAS Imagine Radar Tools
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• New Radar Analyst ribbon
ERDAS Imagine Radar Tools
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• Interferometry tools – CCD & D-InSAR
• Wizard-based workflows• Intelligent defaults for parameters
• Experts can take full control
• Phase Un-Wrap algorithm• The heart of the CCD and D-InSAR
• Developed in conjunction with German Aerospace Agency (DLR)
3. Visual Interpretation
4. Automatic Detection
1. Project Setup2. Processing Steps
SMARTERDECISIONS
Case Studies
SMARTERDECISIONS
KSAT
Data Analysis and Classification Tool
KSAT DACT Case Study
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• Who/What is KSAT
• Kongsberg Satellite Services AS (KSAT) is a commercial
Norwegian enterprise
• Provides services to European Maritime Safety Agency to detect
and report oil spills using RADAR satellite imagery
KSAT DACT Case Study
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KSAT DACT Case Study
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• Locations
Tromsø Station & Offices at 69°39´N 18°56´E.
80 Employees
Svalbard Satellite Station (SvalSat) at 78°15´N 15°80´E
19 employees
Grimstad, (South Norway) at 58°20´N 8°21´E
4 employees
And TrollSat (Antarctica) at 72°S 2°E – That s far far south…
KSAT DACT Case Study
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• The DACT Project
• KSAT has provided a service using satellite images for detection of
oil spills since 1994
• Can deliver oil spill reports to European end users promptly
• New user requirements had KSAT develop the Data Analysis and
Classification Tool with emphasis on oil spill and vessel detection
from satellite imagery
• Radar imagery ideal for quickly identifying oil spills and linking them
to possible sources (vessels/platforms)
KSAT DACT Case Study
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• The System
• Customised Imagine ribbon interface with KSAT tab
• Contains shortcuts to common tools used in identification, extraction
of oil spills
• External data sources, shipping tracks, wind, wave, current, oil
platforms used to identify possible sources of spill
• Reports generated for each radar scene (clean sea, warning,
notification)
• Target turnaround time is 30 minutes from when imagery available to
report sent
KSAT DACT Case Study
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SMARTERDECISIONS
Interferometry Tools Examples
Qualitative Change Mapping with CCD
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Geoinformatics magazine, July/August 2010
Qualitative Change Mapping with CCD
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Magnitude Change Coherence ChangePhase CoherenceAverage Radar Magnitude
Quantitative Change Mapping with D-InSAR
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Quantitative Change Mapping with D-InSAR
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Using the IMAGINE D-InSAR tool users can map VerticalDisplacement
Max Subsidence = -16.5 cm
Max Uplift = +26.6 cm
Published Displacement: +30/-18
Xia,Ye. Bam earthquake: Surface deformation measurement using radar interferometry. ActaSeismologicia Sinica, Vol.18 No.4 (451~459), July, 2005
Summary – Operational Change Measurement Workflow
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Input raw RADAR data
Detected change
Report
Vector output
Questions?
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