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https://hdl.handle.net/20.500.14279/19051
Τίτλος: | DEM modeling using RGB-based vegetation indices from UAV images | Συγγραφείς: | Themistocleous, Kyriacos | Major Field of Science: | Engineering and Technology | Field Category: | Civil Engineering | Λέξεις-κλειδιά: | DEM;Mapping;RGB;Surveying;UAVs;Vegetation | Ημερομηνία Έκδοσης: | 27-Ιου-2019 | Πηγή: | Seventh International Conference on Remote Sensing and Geoinformation of the Environment, 2019, 18-21 March, Paphos, Cyprus | Conference: | International Conference on Remote Sensing and Geoinformation of the Environment | Περίληψη: | 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. | URI: | https://hdl.handle.net/20.500.14279/19051 | ISBN: | 978-151063061-1 | DOI: | 10.1117/12.2532748 | Rights: | © SPIE Attribution-NonCommercial-NoDerivatives 4.0 International |
Type: | Conference Papers | Affiliation: | Cyprus University of Technology | Publication Type: | Peer Reviewed |
Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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