Global Coastal Grid

The Coastal Grid dataset provides a global tiling system for geospatial analytics in coastal areas. It supports scalable data processing workflows by offering structured grids at varying zoom levels (2, 3, 4, 5, 6, 7, 8, 9, 10) and buffer sizes (500m, 1000m, 2000m, 5000m, 10000m, 15000m). Each tile contains information on intersecting countries, continents, and Sentinel-2 MGRS tiles as nested JSON lists. The dataset is particularly suited for applications requiring global coastal coverage, such as satellite-based coastal monitoring, spatial analytics, and large-scale coastal data processing. Key Features: Global coverage of the coastal zone, derived from OpenStreetMap's generalized coastline (2023-02). Precomputed intersections with countries, continents, and MGRS tiles. Designed for use in scalable geospatial workflows. While the data is available here for download, we highly recommend direct access via the cloud. For latest usage instructions please see the tutorials at https://github.com/TUDelft-CITG/coastpy. Please add the following citation when using this dataset: Calkoen, Floris Reinier, Arjen Pieter Luijendijk, Kilian Vos, Etiënne Kras, and Fedor Baart. 2025. “Enabling Coastal Analytics at Planetary Scale.” Environmental Modelling & Software 183 (January): 106257. https://doi.org/10.1016/j.envsoft.2024.106257