Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Measuring Change with Radar Imagery_Richard Goodman - Intergraph Geospatial World Tour 2013

584 views

Published on

ERDAS IMAGINE Radar Tools:
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

Published in: Technology
  • Be the first to comment

Measuring Change with Radar Imagery_Richard Goodman - Intergraph Geospatial World Tour 2013

  1. 1. Measuring Change With RADAR Imagery Richard Goodman Intergraph (UK) Ltd SMARTERDECISIONS
  2. 2. Why is change measurement important 8/29/2013 ©2012 Intergraph Corporation 2
  3. 3. Why is change measurement important? Devastation caused by tornadoes in Alabama, 2011 8/29/2013 ©2012 Intergraph Corporation 5
  4. 4. Why is change measurement important? Magnitude 9.0 earthquake in Japan, 2011 8/29/2013 ©2012 Intergraph Corporation 6
  5. 5. Why is change measurement important? Mississippi river flooding in Memphis, Tennessee, 2011 8/29/2013 ©2012 Intergraph Corporation 7
  6. 6. UK Floods, 2007 8/29/2013 ©2012 Intergraph Corporation 8
  7. 7. Why is change measurement important? Oil spills 8/29/2013 ©2012 Intergraph Corporation 9
  8. 8. So why use RADAR data in change measurement 8/29/2013 ©2012 Intergraph Corporation 10
  9. 9. The Mysterious RADAR image… 8/29/2013 ©2012 Intergraph Corporation 11
  10. 10. Why use RADAR data in change measurement? • 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 8/29/2013 ©2012 Intergraph Corporation 12
  11. 11. Why use RADAR data in change measurement? • 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 • • • • 8/29/2013 Subsurface oil and water extraction Mining Natural disasters – earthquakes, volcanoes Human activities ©2012 Intergraph Corporation 13
  12. 12. Why use RADAR data in change measurement?
  13. 13. ERDAS Imagine Radar Tools SMARTERDECISIONS
  14. 14. ERDAS Imagine Radar Tools • 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 8/29/2013 ©2012 Intergraph Corporation 16
  15. 15. ERDAS Imagine Radar Tools • New Radar Analyst ribbon 8/29/2013 ©2012 Intergraph Corporation 17
  16. 16. ERDAS Imagine Radar Tools 1. Project Setup 2. Processing Steps • Interferometry tools – CCD & D-InSAR • Wizard-based workflows • Intelligent defaults for parameters • Experts can take full control 3. Visual Interpretation • Phase Un-Wrap algorithm • The heart of the CCD and D-InSAR • Developed in conjunction with German Aerospace Agency (DLR) 4. Automatic Detection 8/29/2013 ©2012 Intergraph Corporation 18
  17. 17. Case Studies SMARTERDECISIONS
  18. 18. KSAT Data Analysis and Classification Tool SMARTERDECISIONS
  19. 19. KSAT DACT Case Study • 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 8/29/2013 ©2012 Intergraph Corporation 21
  20. 20. KSAT DACT Case Study 8/29/2013 ©2012 Intergraph Corporation 22
  21. 21. KSAT DACT Case Study • Locations Svalbard Satellite Station (SvalSat) at 78°15´N 15°80´E 19 employees Tromsø Station & Offices at 69°39´N 18°56´E. 80 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… 8/29/2013 ©2012 Intergraph Corporation 23
  22. 22. KSAT DACT Case Study • 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) 8/29/2013 ©2012 Intergraph Corporation 24
  23. 23. KSAT DACT Case Study • 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 8/29/2013 ©2012 Intergraph Corporation 25
  24. 24. KSAT DACT Case Study 8/29/2013 ©2012 Intergraph Corporation 26
  25. 25. Interferometry Tools Examples SMARTERDECISIONS
  26. 26. Qualitative Change Mapping with CCD Geoinformatics magazine, July/August 2010 8/29/2013 ©2012 Intergraph Corporation 28
  27. 27. Qualitative Change Mapping with CCD Magnitude Change Average Radar Magnitude 8/29/2013 Coherence Change Phase Coherence ©2012 Intergraph Corporation 29
  28. 28. Quantitative Change Mapping with D-InSAR 8/29/2013 ©2012 Intergraph Corporation 30
  29. 29. Quantitative Change Mapping with D-InSAR Using the IMAGINE D-InSAR tool users can map Vertical Displacement Max Subsidence = -16.5 cm Max Uplift = +26.6 cm Published Displacement: +30/-18 Xia,Ye. Bam earthquake: Surface deformation measurement using radar interferometry. Acta Seismologicia Sinica, Vol.18 No.4 (451~459), July, 2005 8/29/2013 ©2012 Intergraph Corporation 31
  30. 30. Summary – Operational Change Measurement Workflow Input raw RADAR data Vector output Detected change Report 8/29/2013 ©2012 Intergraph Corporation 32
  31. 31. Questions? SMARTERDECISIONS 8/29/2013 ©2012 Intergraph Corporation 33

×