Five Volume Series on Remote Sensing For Resilient
Multi-Hazard Disaster Response Now Available
A new series of reports on “Remote Sensing for Resilient Multi-Hazard Disaster Response” document seven years of scientific research conducted by MCEER researchers at ImageCat Inc., in conjunction with international multi-hazard researchers. The series provides a collective account of remote sensing and GIS-based damage assessment methodologies and applications. The reports focus on specific damage detection techniques recently developed and implemented in the aftermath of several disasters, such as the Bam earthquake, Hurricane Charley and Hurricane Katrina.
Volume I: Introduction to Damage Assessment Methodologies, by Beverley Adams and Ronald Eguchi, sets the ground work for the report series by introducing the use of remote sensing and advanced technologies for resilient multi-hazard disaster response. The report does this by analyzing the roles of “Technology Push” and “User Pull” in the increased use of remote sensing, presenting a conceptual model for organizing post-disaster deployments, and reviewing literature of prior research activities using advanced technologies including remote sensing. The three case studies used for research in the subsequent reports are also described.
Volume II: Counting the Number of Collapsed Buildings Using an Object-Oriented Analysis: Case Study of the 2003 Bam Earthquake, by Luca Gusella, Charles Huyck and Beverley Adams, documents exploratory research in the use of a new image processing technique. The technique is based on ‘object-oriented’ analysis to count the number of buildings that collapsed during the 2003 Bam, Iran earthquake.
Volume III: Multi-Sensor Image Fusion Techniques for Robust Neighborhood-Scale Urban Damage Assessment, by Beverley Adams and Anneley McMillan, investigates multi-sensor pixel-based image fusion methodologies, combining ‘before’ and ‘after’ images from two different high-resolution optical satellites in order to assess neighborhood damage extent and severity. The 2003 Bam earthquake was used as this case study as well.
Volume IV: A Study of Multi-Temporal and Multi-Resolution SAR Imagery for Post-Katrina Flood Monitoring in New Orleans, by Anneley McMillan, Jeremy Morley, Beverley Adams and Simon Chesworth, is an investigation of the performance of multi-resolution SAR data for detecting urban flood using fine-beam and standard-beam Redarsat-1 scenes. Flooding due to Hurricane Katrina was used as the case study.
Volume V: Integration of Remote Sensing Imagery and VIEWS Field Data for Post-Hurricane Charley Building Damage Assessment, by J. Arn Womble, Kishor Mehta and Beverley Adams, investigates the use of remote sensing and advanced field data collection technologies for improving response to extreme windstorm events. Perishable field data and supporting satellite imagery collected in the aftermath of Hurricanes Charley and Ivan were used as case studies.
The reports are available from the MCEER Online Catalog.