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https://hdl.handle.net/20.500.14279/19051
Πεδίο DC | Τιμή | Γλώσσα |
---|---|---|
dc.contributor.author | Themistocleous, Kyriacos | - |
dc.date.accessioned | 2020-09-23T06:21:14Z | - |
dc.date.available | 2020-09-23T06:21:14Z | - |
dc.date.issued | 2019-06-27 | - |
dc.identifier.citation | Seventh International Conference on Remote Sensing and Geoinformation of the Environment, 2019, 18-21 March, Paphos, Cyprus | en_US |
dc.identifier.isbn | 978-151063061-1 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/19051 | - |
dc.description.abstract | Traditional NDVI techniques require NIR images from multispectral cameras in order to identify vegetation. Research indicates that RGB images from UAV platforms can provide a cost-efficient and near-real time survey with high temporal and spatial resolution. In this study, only RGB images taken with a 20MP camera mounted on a UAV glider were used to conduct a ground survey and generate a Digital Elevation Model (DEM). Over 7,000 UAV images with less than 5cm ground resolution were used in order to survey a 5km2 in the Alassa region in Cyprus in order to produce a DEM. The area was geo-referenced using ground control points. Due to extensive vegetation coverage, a RGB-based vegetation indice was used to mask the vegetation and produce a DEM using interpolation techniques. This study highlights a cost-effective technique to survey and model large areas with vegetation coverage. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.rights | © SPIE | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | DEM | en_US |
dc.subject | Mapping | en_US |
dc.subject | RGB | en_US |
dc.subject | Surveying | en_US |
dc.subject | UAVs | en_US |
dc.subject | Vegetation | en_US |
dc.title | DEM modeling using RGB-based vegetation indices from UAV images | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Civil Engineering | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.relation.conference | International Conference on Remote Sensing and Geoinformation of the Environment | en_US |
dc.identifier.doi | 10.1117/12.2532748 | en_US |
cut.common.academicyear | 2018-2019 | en_US |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.cerifentitytype | Publications | - |
item.openairetype | conferenceObject | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0003-4149-8282 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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