Papers and Presentations
October 7-8, 2004 | Newport Beach, CA
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.
