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Exploring the Importance of Monitoring the Fire Risk Index in the vicinity of Cultural Heritage Sites in Cyprus using Sentinel Remote Sensing data

Kouhartsiouk, Demetris and Agapiou, Athos and Lysandrou, Vasiliki and Themistocleous, Kyriacos and Nisantzi, Argyro and Hadjimitsis, Diofantos and Lasaponara, Rosa and Masini, Nicola and Krauss, Thomas and Cerra, Daniele and Gessner, Ursula and Schreier, Gunter (2017) Exploring the Importance of Monitoring the Fire Risk Index in the vicinity of Cultural Heritage Sites in Cyprus using Sentinel Remote Sensing data. 11th EARSeL Workshop, 2017-09-25 - 2017-09-27, Chania (Kreta) Griechenland.

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Official URL: http://ktisis.cut.ac.cy/bitstream/10488/12403/1/09-ATHENA_EARSel_Poster_Abstract.pdf


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.

Item URL in elib:https://elib.dlr.de/124019/
Document Type:Conference or Workshop Item (Poster)
Title:Exploring the Importance of Monitoring the Fire Risk Index in the vicinity of Cultural Heritage Sites in Cyprus using Sentinel Remote Sensing data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Agapiou, AthosCyprus University of TechnologyUNSPECIFIEDUNSPECIFIED
Lysandrou, VasilikiCyprus University of TechnologyUNSPECIFIEDUNSPECIFIED
Themistocleous, KyriacosCyprus University of TechnologyUNSPECIFIEDUNSPECIFIED
Nisantzi, ArgyroCyprus University of TechnologyUNSPECIFIEDUNSPECIFIED
Hadjimitsis, DiofantosCyprus University of TechnologyUNSPECIFIEDUNSPECIFIED
Masini, NicolaCNR - National Research Council, ItalyUNSPECIFIEDUNSPECIFIED
Krauss, ThomasUNSPECIFIEDhttps://orcid.org/0000-0001-6004-1435UNSPECIFIED
Cerra, DanieleUNSPECIFIEDhttps://orcid.org/0000-0003-2984-8315UNSPECIFIED
Date:September 2017
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Cultural heritage, Fire risk index, Copernicus, Sentinel
Event Title:11th EARSeL Workshop
Event Location:Chania (Kreta) Griechenland
Event Type:international Conference
Event Start Date:25 September 2017
Event End Date:27 September 2017
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
German Remote Sensing Data Center > Land Surface Dynamics
German Remote Sensing Data Center > Leitungsbereich DFD
Deposited By: Zielske, Mandy
Deposited On:07 Dec 2018 16:47
Last Modified:24 Apr 2024 20:27

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