Remote Sensing
Remote sensing research is focused on developing and operationally implementing innovative multi-hazard techniques, strategies and products for rapidly assessing post-disaster impacts, modeling and quantifying the built environment, and monitoring recovery.
Building on ten years of research achievements, the remote sensing research group offers clients a wealth of remote sensing and GIS-based capabilities and scientific expertise. Through new research contracts, investigators will continue to embrace fundamental and applied research activities to develop innovative new approaches to short- and long-term disaster management. Other commercial products and services developed by MCEER researchers include: 24-48 hour post-disaster damage assessment under the PDV™ (Post-disaster Damage Verification) program; near real-time flood, surge, hurricane, earthquake and tsunami damage assessment through remote sensing-based damage scales and advanced image analysis techniques; and forensic GPS-registered damage assessment using the in-field VIEWS™ data collection and visualization system.
Resources to MCEER materials related to remote sensing research include:
Upcoming Event
The Seventh International Workshop on Remote Sensing for Disaster Management
October 22-23, 2009 | Austin, Texas
The Seventh International Workshop on Remote Sensing for Disaster Management, to be held at the University of Texas in Austin, is the latest in a series that brings together remote sensing analysts, disaster researchers, and emergency managers to exchange ideas and research results related to the use of remote sensing in disaster management.
This year’s workshop will focus on Remote Sensing for the Disaster Cycle: Preparedness, Response, and Recovery. The organizers encourage contributions that span all three of these components related to disaster management, and will be soliciting short papers from all participants. Group discussions during the workshop to develop strategies to further encourage the use of remote sensing in disaster management are planned.
