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|Title:||Using remote sensing to predict earthquake impacts||Authors:||Asimakis, Fylaktos
|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||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|
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