Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/18328
DC FieldValueLanguage
dc.contributor.authorAgapiou, Athos-
dc.date.accessioned2020-05-05T06:25:58Z-
dc.date.available2020-05-05T06:25:58Z-
dc.date.issued2020-01-01-
dc.identifier.citationRemote Sensing, 2020, vol. 12, no.1, articl. no. 136en_US
dc.identifier.issn2072-4292-
dc.descriptionThe author would like to acknowledge the “CUT Open Access Author Fund” for covering the open access publication fees of the paperen_US
dc.description.abstractSubsurface targets can be detected from space-borne sensors via archaeological proxies, known in the literature as cropmarks. A topic that has been limited in its investigation in the past is the identification of the optimal spatial resolution of satellite sensors, which can better support image extraction of archaeological proxies, especially in areas with spectral heterogeneity. In this study, we investigated the optimal spatial resolution (OSR) for two different cases studies. OSR refers to the pixel size in which the local variance, of a given area of interest (e.g., archaeological proxy), is minimized, without losing key details necessary for adequate interpretation of the cropmarks. The first case study comprises of a simulated spectral dataset that aims to model a shallow buried archaeological target cultivated on top with barley crops, while the second case study considers an existing site in Cyprus, namely the archaeological site of “Nea Paphos”. The overall methodology adopted in the study is composed of five steps: firstly, we defined the area of interest (Step 1), then we selected the local mean-variance value as the optimization criterion of the OSR (Step 2), while in the next step (Step 3), we spatially aggregated (upscale) the initial spectral datasets for both case studies. In our investigation, the spectral range was limited to the visible and near-infrared part of the spectrum. Based on these findings, we determined the OSR (Step 4), and finally, we verified the results (Step 5). The OSR was estimated for each spectral band, namely the blue, green, red, and near-infrared bands, while the study was expanded to also include vegetation indices, such as the Simple Ratio (SR), the Atmospheric Resistance Vegetation Index (ARVI), and the Normalized Difference Vegetation Index (NDVI). The outcomes indicated that the OSR could minimize the local spectral variance, thus minimizing the spectral noise, and, consequently, better support image processing for the extraction of archaeological proxies in areas with high spectral heterogeneityen_US
dc.description.sponsorship.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relationERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environmenten_US
dc.relation.ispartofRemote Sensingen_US
dc.rights© by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectOptimum spatial resolutionen_US
dc.subjectRemote sensing archaeologyen_US
dc.subjectArchaeological proxiesen_US
dc.subjectSimulation dataen_US
dc.subjectWorldView-2en_US
dc.titleOptimal Spatial Resolution for the Detection and Discrimination of Archaeological Proxies in Areas with Spectral Heterogeneityen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.3390/rs12010136en_US
dc.relation.issue1en_US
dc.relation.volume12en_US
cut.common.academicyear2019-2020en_US
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.openairetypearticle-
item.cerifentitytypePublications-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0001-9106-6766-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.journal.journalissn2072-4292-
crisitem.journal.publisherMDPI-
crisitem.project.funderEuropean Commission-
crisitem.project.grantnoH2020-WIDESPREAD-2018-01 / WIDESPREAD-01-2018-2019 Teaming Phase 2-
crisitem.project.fundingProgramH2020 Spreading Excellence, Widening Participation, Science with and for Society-
crisitem.project.openAireinfo:eu-repo/grantAgreeent/EC/H2020/857510-
Appears in Collections:Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence
Files in This Item:
File Description SizeFormat
Optimal Spatial Resolution.pdf13.16 MBAdobe PDFView/Open
CORE Recommender
Show simple item record

SCOPUSTM   
Citations 50

3
checked on Mar 21, 2021

WEB OF SCIENCETM
Citations

2
Last Week
0
Last month
1
checked on Apr 22, 2021

Page view(s) 50

148
Last Week
0
Last month
1
checked on May 7, 2021

Download(s)

49
checked on May 7, 2021

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons