The dataset includes the following components: RGB(1-3): contains 1454 RGB images captured using a DJI Mavic 3M 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 pointcloud, orthomosaics and DEM, ensuring a clear visualization of the vineyard rows. POINTCLOUDS: includes both the raw and cropped pointclouds in RGB, NIR, G, RE and NDVI. All of them were processed using Metashape Agisoft and stored in XYZ format (.txt). ORTHOMOSAICS: includes the original and cropped orthomosaics in RGB, NIR, G, RE and NDVI. All of them were generated using Metashape Agisoft and are 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 June 9th, 2023, in Canyelles, Catalonia, Spain. The UAV was manually flown at an altitude of 12 meters, ensuring sufficient frontal and side overlap between images.