This is a draft-dataset providing a time series of beach wrack coverage (COVR) at Cala Millor beach, derived from imagery captured by the SIRENA beach video-monitoring system. SIRENA's cameras acquire overlapping, hourly, oblique images at a resolution of 1280×960 pixels. A deep learning-based object detection and segmentation model identifies seagrass wracks in these images. Photogrammetric techniques then rectify the images to a terrain coordinate system, and seagrass wrack coverage is calculated as the area fraction per 5 m grid cell. To ensure data validity, a preliminary quality control step filters out detections landwards from the promenade seawall.

This work was supported by ‘FOCCUS’ (Grant Agreement No.101133911) and ‘iMagine’ (Grant Agreement No.101058625) European Union funded projects. The deep learning model for beach wrack identification from oblique imagery was developed in the context of iMagine. The FOCCUS project focused on designing and crafting the final data product, encompassing metadata structuring, model implementation, photogrammetric transformations, and netCDF data generation.