Attention Remote Sensing Specialists!
You are invited to participate in our session at EGU 2015 (Vienna)
EGU, Vienna, 12 – 17 April 2015
NH9.20: Application of remote sensing in natural hazard studies. http://meetingorganizer.copernicus.org/EGU2015/session/18829
Conveners: Matthew Blackett (Coventry University); Peter Webley (University of Alaska Fairbanks); Robert Wright (Hawai’i Institute of Geophysics and Planetology); Charley Hill-Butler (Coventry University and Hawai’i Institute of Geophysics and Planetology).
The deadline for normal abstracts is 7 January 2015.
Students and early career researchers may be eligible for financial support from the EGU (deadlines for abstract submission for this is 28 November 2014 (see: http://www.egu2015.eu/support_and_distinction.html).
Session abstract: Remote sensing has many fundamental applications in the field of natural hazard studies. It has a number of advantages over traditional fieldwork expeditions including safety, the provision a synoptic view of the whole region of interest, often the availability of data extending back several years and, in many cases, cost savings. Its applications have moved on significantly in recent years with new, more powerful sensors, and finely tuned detection algorithms, now available. This session will provide a forum for the dissemination of research into using such advanced sensors and algorithms for application to all types of natural hazard. The research presented might focus on the observation of possible precursory events and evaluation of potential predictive capabilities, on the determination of vulnerable areas, on the monitoring of the event during its occurrence or on the assessment of damage post-event. An additional application which has shown great utility in recent years has been the use of remotely detected data for decision support and overall emergency management. Of these possible research themes, the use of different types of remote sensing (e.g. thermal, visual, radar, laser) might be considered, with an evaluation of their respective pros and cons. Suggestions for future sensor consideration, algorithm development and emergency management agency buy-in might also be made based on empirical evidence presented.