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Papers and Presentations

October 7-8, 2004 | Newport Beach, CA

desktop interface showing satellite image and up-close images

Screen shot of the Desktop Virtual Reconnaissance System interface (DVRS) .

Below are presentations from the workshop in pdf format, and, where available, papers or abstracts.

Overview of the Emerging Role of Remote Sensing in Post-Disaster Response 

M. Shinozuka, University of California, Irvine

Detection of Damage Due to the 2003 Bam, Iran Earthquake Using Terra--ASTER Imagery

Masayuki Kohiyama, University of Tokyo and Fumio Yamazaki, Chiba University

Application of Texture Analysis to High-resolution Satellite Images for Mapping Post-earthquake Building Damage Distribution –a Preliminary Assessment 

Robin Spence and Keiko Saito, University of Cambridge

Visual and Automated Damage Detection for the 2003 Algeria and Bam Earthquakes Using High-resolution Satellite Images 

Fumio Yamazaki and Yoshihisa Yano, Chiba University; Masashi Matsuoka and T. Thuy Vu, Earthquake Disaster Mitigation Research Center, NIED; Ken-ichi Kouchi and Masayuki Kohiyama, University of Tokyo

Damage Detection Using Neighborhood Edge Dissimilary in Very High Resolution Optical Data: 2003 Bam Iran Earthquake

Charles K. Huyck, Beverley J. Adams and Luca Gusella, ImageCat, Inc.

Update on Mount St. Helens

Ken Hudnut, US Geological Survey and Michael Abrams, Jet Propulsion Labs

Object-oriented Approach to Post-earthquake Damage Assessment for Bam, Iran, Using Very High Resolution Satellite Imagery 

Luca Gusella, Gabriele Bitelli and Alessandro Mognol, University of Bologna; Beverley J. Adams and Charles K. Huyck, ImageCat, Inc.

Use of SAR Intensity Imagery for Earthquake Damage Detection 

Masashi Matsuoka, Earthquake Disaster Mitigation Research Center (EDM), National Research Institute for Earth Science and Disaster Prevention (NIED), and Fumio Yamazaki, Chiba University

SAR Complex Data Analysis for Change Detection for the BAM Earthquake using Envisat Satellite ASAR Data 

Babak Mansouri, University of California, Irvine and ImageCat, Inc.; Masanobu Shinozuka, University of California, Irvine, Charles Huyck, ImageCat, Inc., Bijan Houshmand, University of California, Los Angeles

Health Monitoring of Caltrans Bridges  

Maria Q. Feng and Yangbo Chen, University of California, Irvine and Chin-An Tan, Wayne State University

Moderate- & Low-Resolution Imagery for Data Integration in Post Disaster Assessment: The Wildfire Case

Richard P. Watson, CREATE, University of New Mexico and Kota Prasad, SeaSpace Corporation

Assessment of Windstorm Damage in the United States 

J. Arn Womble and Kishor C. Mehta, Wind Science and Engineering, Texas Tech University

Streamlining Post-disaster Data Collection and Damage Assessment, Using VIEWS™ and VRS 

Beverley Adams, Michael Z. Mio, Sungbin Cho, Charles K. Huyck and Ronald T. Eguchi, ImageCat, Inc; J. Arn Womble, and Kishor Mehta, WISE Center, Texas Tech University

Integrative Technologies in Support of GIS-Based Post-Disaster Response 

Arthur J. Lembo, Jr., Amanda Bonneau and Thomas D. O'Rourke, Cornell University

Measuring Co-seismic Deformations from SPOT Images 

Sébastien Leprince, California Institute of Technology; Rémi Michel and Renaud Binet, Commissariat a l'Energie Atomique, France

Mapping and Detection of Fault Slip and Structural Damage 

Ken Hudnut, Katherine Kendrick and Erdal Safak, US Geological Survey; Mike Bevis and Dorota Grejner-Brzezinska, Ohio State University; Chen Ji, California Institute of Technology; Ric Sanchez and Charles Toth, U. S. Geological Survey, National Center

Remote Sensing for Building Inventory Update and Improved Loss Estimation in HAZUS® 

Howard Chung, Beverley J. Adams, Charles K. Huyck, Shubharoop Ghosh and Ronald T. Eguchi, ImageCat, Inc.

Employment of LiDAR for Disaster Assessment 

Tuong Thuy Vu and Masashi Matsuoka, Earthquake Disaster Mitigation Research Center; Fumio Yamazaki, Chiba University

Methodological Approach for Extracting Methodological Approach for Extracting Building Inventory Data from Stereo Satellite Images 

Pooya Sarabandi and Anne S. Kiremidjian, Stanford University; Beverley Adams and Ronald T. Eguchi, ImageCat, Inc.