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The paper discusses the use of remote sensing methods in geotechnical engineering, particularly for earthquake reconnaissance. It explores the application of visible light, reflectance infrared, and radar imagery from both spaceborne and airborne platforms. Techniques include direct image recognition, change detection, and advanced digital processing methods such as correlation and difference imaging. The study presents case analyses, including imagery from the Bam earthquake in Iran and the Kobe earthquake in Japan, emphasizing the importance of pre- and post-event data for damage assessment.
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Robert E. Crippen, Ph.D. NASA Jet Propulsion Laboratory California Institute of Technology Pasadena, California 91109 USA 818-354-2475 crippen@jpl.nasa,gov Geotechnical Engineering Earthquake Reconnaissance: Use of Remote Sensing
REMOTE SENSING Wavelengths: * Visible Light & Reflectance Infrared * Radar Platforms: * Spaceborne * Airborne
TECHNIQUES Using Visible & Reflectance Infrared: * Post-Quake-Image Direct Recognition * Change Detection (Pre-vs-Post Imagery) * Visual * Computational * Imaging Spectroscopy Some Sensors: Quickbird, Ikonos, Aerial Using Radar Imagery: * Backscatter Images * Change Detection * Interferometry * Polarimetry Some Sensors: ERS/ENVISAT, Radarsat, Airborne
DIGITAL PROCESSING • Correlation Images (Damage creates low) • Difference Images (Damage creates high) • Complex Coherence (Radar) • Edge Enhancements (Movements vs Reflectance) • Texture measurements: Temporal & Spatial Changes • Calibration / Normalization • Vegetation Masking
Bam Earthquake, Iran December 26, 2003 Before After Citadel
Bam Earthquake, Iran Before After Citadel Quickbird Satellite
Bam Earthquake, Iran December 26, 2003 Before After Quickbird Satellite
September 30, 2003 January 3, 2004 University of California at Irvine (UCI) and the Earthquake Engineering Research Institute (EERI)
ImageCat Inc. and Chiba University Quickbird satellite imagery of Boumerdes, Algeria. Acquired before and after the May 21st 2003 earthquake. Images courtesy of DigitalGlobe.
LIDAR Fault Detection Near Seattle
LIDAR: Petronas Towers, Malaysia Image interpretation, change detection, pancaking issue
Landers Earthquake Fault Break Observation SPOT Image: 10 meters Ikonos Image: 1 meter (Aerial Photo Simulation) “Follow the Trace”
Radar Imaging Effects of Quake Damage on Radar Backscatter Weakened Signal Return Strengthened Signal Return From: Matsuoka & Yamazaki, IGARSS 2004
Hector Mine Earthquake 16 October 1999 SAR Interferometry Gilles Peltzer, Frédéric Crampé, and Paul Rosen JPL
JERS-1 interferometric image of the Kobe, Japan area following the 1995 earthquake, depicting surface deformation. ( JPL, GSI and NASDA)
AVIRIS: Mapping Hotspots Environmental Studies of the World Trade Center area after the September 11, 2001 attack. U. S. Geological Survey, Open File Report OFR-01-0429
Airborne Visible & Infrared Imaging Spectrometer (AVIRIS) Mapping Asbestos
PROBLEMS / CONSIDERATIONS • Clouds / Smoke / Darkness: Radar advantage • Resolution: Visible / NIR advantage • Acquisition Speeds: Utility and Clean-Ups • Archive Availability • Acquisitions before quake (any at all?) • Acquisitions that match… • Non-Quake Differences: • Seasons: vegetation and shadows • Viewing geometry (distortions & hidden areas) • Construction & non-quake demolition