
The dataset includes the following components: RGB(1-4): contains 1682 RGB images captured using a DJI Mavic 3 Classic UAV. The images are stored in JPG format, with metadata that includes location information, camera settings and capture dates. SHAPE: contains the shape file used in Metashape Agisoft to crop the point cloud, orthomosaics and DEM, ensuring a clear visualization of the vineyard rows. POINTCLOUDS: includes both the raw and cropped point clouds, processed using Metashape Agisoft, and stored in XYZ format (.txt). ORTHOMOSAICS: includes the original and cropped orthomosaic images, generated with Metashape Agisoft, in TIF format. DEM: contains the original and cropped DEM images, also processed using Metashape Agisoft, and stored in TIF format. This data is aligned with the rest of UAV Canyelles Vineyard Datasets uploaded by Noumena (UC1), so different orthomosaics / pointclouds / DEM of different dates can be analyzed jointly for cropped and uncropped files. Data collection took place on May 26th, 2023, in Canyelles, Catalonia, Spain. The UAV was flown at an altitude of 12 meters, ensuring sufficient frontal and side overlap between images.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
