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- W2954267514 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." @default.
- W2954267514 created "2019-07-12" @default.
- W2954267514 creator A5005319293 @default.
- W2954267514 date "2019-06-27" @default.
- W2954267514 modified "2023-09-24" @default.
- W2954267514 title "DEM modeling using RGB-based vegetation indices from UAV images" @default.
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- W2954267514 doi "https://doi.org/10.1117/12.2532748" @default.
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