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Discrete Global Grid Systems: Towards Less Distorted Geospatial Data

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Discrete Global Grid Systems: Towards Less Distorted Geospatial Data
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Abstract
Satellite imagery is traditionally stored and processed on rectangular grids. However, the widespread usage of such grids has normalized their inherent distortions, particularly near the poles. Previous attempts to address this issue, such as employing multiple local projections like the UTM-based Sentinel 2 L1C grid, have led to inefficiencies, including a significant increase in data volume (~30%) due to overlaps that need to be stored, downloaded, and processed.