LIGHTHOUSE: Fast and precise distance to shoreline calculations from anywhere on earth
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866913908009205760 |
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| author | Beukema, Patrick Herzog, Henry Zhang, Yawen Pitelka, Hunter Bastani, Favyen |
| author_facet | Beukema, Patrick Herzog, Henry Zhang, Yawen Pitelka, Hunter Bastani, Favyen |
| contents | We introduce a new dataset and algorithm for fast and efficient coastal distance calculations from Anywhere on Earth (AoE). Existing global coastal datasets are only available at coarse resolution (e.g. 1-4 km) which limits their utility. Publicly available satellite imagery combined with computer vision enable much higher precision. We provide a global coastline dataset at 10 meter resolution, a 100+ fold improvement in precision over existing data. To handle the computational challenge of querying at such an increased scale, we introduce a new library: Layered Iterative Geospatial Hierarchical Terrain-Oriented Unified Search Engine (Lighthouse). Lighthouse is both exceptionally fast and resource-efficient, requiring only 1 CPU and 2 GB of RAM to achieve millisecond online inference, making it well suited for real-time applications in resource-constrained environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_18842 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | LIGHTHOUSE: Fast and precise distance to shoreline calculations from anywhere on earth Beukema, Patrick Herzog, Henry Zhang, Yawen Pitelka, Hunter Bastani, Favyen Databases Computer Vision and Pattern Recognition Machine Learning We introduce a new dataset and algorithm for fast and efficient coastal distance calculations from Anywhere on Earth (AoE). Existing global coastal datasets are only available at coarse resolution (e.g. 1-4 km) which limits their utility. Publicly available satellite imagery combined with computer vision enable much higher precision. We provide a global coastline dataset at 10 meter resolution, a 100+ fold improvement in precision over existing data. To handle the computational challenge of querying at such an increased scale, we introduce a new library: Layered Iterative Geospatial Hierarchical Terrain-Oriented Unified Search Engine (Lighthouse). Lighthouse is both exceptionally fast and resource-efficient, requiring only 1 CPU and 2 GB of RAM to achieve millisecond online inference, making it well suited for real-time applications in resource-constrained environments. |
| title | LIGHTHOUSE: Fast and precise distance to shoreline calculations from anywhere on earth |
| topic | Databases Computer Vision and Pattern Recognition Machine Learning |
| url | https://arxiv.org/abs/2506.18842 |