Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/12655
Title: Using remote sensing to predict earthquake impacts
Authors: Asimakis, Fylaktos 
Yfantidou, Anastasia 
Keywords: Earthquakes;GIS;Hazard prediction;Natural hazards;Optical imagery;Remote Sensing;SAR
Category: Civil Engineering
Field: Engineering and Technology
Issue Date: Mar-2017
Publisher: SPIE
Source: 5th International Conference on Remote Sensing and Geoinformation of the Environment, 2017, Paphos, Cyprus, 20-23 March
metadata.dc.doi: https://doi.org/10.1117/12.2279669
Abstract: Natural hazards like earthquakes can result to enormous property damage, and human casualties in mountainous areas. Italy has always been exposed to numerous earthquakes, mostly concentrated in central and southern regions. Last year, two seismic events near Norcia (central Italy) have occurred, which led to substantial loss of life and extensive damage to properties, infrastructure and cultural heritage. This research utilizes remote sensing products and GIS software, to provide a database of information. We used both SAR images of Sentinel 1A and optical imagery of Landsat 8 to examine the differences of topography with the aid of the multi temporal monitoring technique. This technique suits for the observation of any surface deformation. This database is a cluster of information regarding the consequences of the earthquakes in groups, such as property and infrastructure damage, regional rifts, cultivation loss, landslides and surface deformations amongst others, all mapped on GIS software. Relevant organizations can implement these data in order to calculate the financial impact of these types of earthquakes. In the future, we can enrich this database including more regions and enhance the variety of its applications. For instance, we could predict the future impacts of any type of earthquake in several areas, and design a preliminarily model of emergency for immediate evacuation and quick recovery response. It is important to know how the surface moves, in particular geographical regions like Italy, Cyprus and Greece, where earthquakes are so frequent. We are not able to predict earthquakes, but using data from this research, we may assess the damage that could be caused in the future.
Description: Proceedings of SPIE - The International Society for Optical Engineering, 2017, Volume 10444, Article number 104440L
URI: http://ktisis.cut.ac.cy/handle/10488/12655
Rights: © 2017 SPIE.
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

Show full item record

Page view(s)

22
checked on Aug 20, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.