Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/12403
Title: Exploring the importance of monitoring the fire risk index in the vicinity of cultural heritage sites in Cyprus using sentinel remote sensing data
Authors: Agapiou, Athos 
Lysandrou, Vasiliki 
Kouhartsiouk, Demetris 
Themistocleous, Kyriacos 
Nisantzi, Argyro 
Hadjimitsis, Diofantos G. 
Lasaponara, Rosa 
Masini, Nicola 
Krauss, Thomas 
Cerra, Daniele 
Gessner, Ursula 
Schreier, Gunter 
Keywords: Cultural heritage;Fire risk index;Copernicus;Sentinel
Category: Civil Engineering;Civil Engineering
Field: Engineering and Technology
Issue Date: Sep-2017
Source: 11th EARSeL Workshop, 2017, Crete, Greece, 25-27 September
Project: ATHENA. Remote Sensing Science Center for Cultural Heritage 
Abstract: In June 2016, a wild re outbreak in the region of Solea, district of Nicosia, Cyprus, resulted in the total loss of 18.5 km2 of vegetated area. The area accommodates a number of cultural heritage sites, amongst them sites included in the UNESCO list of World Heritage Monuments such as the Churches of "Panagia tis Asinou", in Nikitari and "Panagia tis Podithou" in Galata. The incident proved to be a turning point in the reconsideration of the signi cance of monitoring the risk posed by re on Cultural Heritage sites. Earth Observation and Remote Sensing techniques provide an e cient and cost e ective way of estimating the parameters behind wild re outbreaks. With the introduction of the Copernicus Sentinel satellite constellation, the extent to which these parameters can be studied is further enabled with short revisit times and higher resolution sensors. The current study aims to explore the estimation of the likelihood of a re outbreak in the vicinity of candidate Cultural Heritage sites in Cyprus with the use of Sentinel-2 Multispectral Instrument (MSI) imagery. A number of causative agents such as the class and density of vegetation were derived from Sentinel-2 imagery through the estimation of spectral indices coupled with ancillary topographic information such as elevation, slope and aspect derived from a Digital Terrain Model (DTM). A weighted formula for multicriteria analysis was constructed based on the signi cance of each factor in re outbreak. Based on the analysis, a map for each of the candidate sites was created with assigned likelihood of re which was then validated against an archive data pool of past re incidences.
URI: http://ktisis.cut.ac.cy/handle/10488/12403
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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