Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/12707
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Topouzelis, Konstantinos | - |
dc.contributor.author | Papakonstantinou, Apostolos | - |
dc.contributor.author | Doukari, Michaela | - |
dc.contributor.author | Stamatis, Panagiotis | - |
dc.contributor.author | Makri, Despina | - |
dc.contributor.author | Katsanevakis, Stelios | - |
dc.date.accessioned | 2018-08-24T04:58:15Z | - |
dc.date.available | 2018-08-24T04:58:15Z | - |
dc.date.issued | 2017-03 | - |
dc.identifier.citation | 5th International Conference on Remote Sensing and Geoinformation of the Environment, 2017, Paphos, Cyprus, 20-23 March | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/12707 | - |
dc.description | Proceedings of SPIE - The International Society for Optical Engineering, 2017, Volume 10444, Article number 1044417 | en_US |
dc.description.abstract | The significance of coastal habitat mapping lies in the need to prevent from anthropogenic interventions and other factors. Until 2015, Landsat-8 (30m) imagery were used as medium spatial resolution satellite imagery. So far, Sentinel-2 satellite imagery is very useful for more detailed regional scale mapping. However, the use of high resolution orthophoto maps, which are determined from UAV data, is expected to improve the mapping accuracy. This is due to small spatial resolution of the orthophoto maps (30 cm). This paper outlines the integration of UAS for data acquisition and Structure from Motion (SfM) pipeline for the visualization of selected coastal areas in the Aegean Sea. Additionally, the produced orthophoto maps analyzed through an object-based image analysis (OBIA) and nearest-neighbor classification for mapping the coastal habitats. Classification classes included the main general habitat types, i.e. seagrass, soft bottom, and hard bottom The developed methodology applied at the Koumbara beach (Ios Island - Greece). Results showed that UAS's data revealed the sub-bottom complexity in large shallow areas since they provide such information in the spatial resolution that permits the mapping of seagrass meadows with extreme detail. The produced habitat vectors are ideal as reference data for studies with satellite data of lower spatial resolution. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.rights | © 2017 SPIE. | en_US |
dc.subject | Aerial photo | en_US |
dc.subject | Habitant mapping | en_US |
dc.subject | OBIA | en_US |
dc.subject | Posidonia oceanica | en_US |
dc.subject | UAS | en_US |
dc.subject | UAV-SfM | en_US |
dc.title | Coastal habitat mapping in the Aegean Sea using high resolution orthophoto maps | en_US |
dc.type | Conference Papers | en_US |
dc.doi | https://doi.org/10.1117/12.2279140 | en_US |
dc.collaboration | University of Aegean | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Civil Engineering | en_US |
dc.country | Cyprus | en_US |
dc.country | Greece | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
cut.common.academicyear | 2016-2017 | en_US |
local.message.claim | 2023-03-17T10:46:17.090+0200|||rp22549|||submit_approve|||dc_contributor_author|||None | * |
item.fulltext | No Fulltext | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.openairetype | conferenceObject | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-6464-2008 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
CORE Recommender
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.