11-05, 13:30–14:00 (America/New_York), Reston ABC
Tired of mismatched grids and distorted pixels? Discover how a nonary tree structure and an equal-area projection create a resolution-aligned, storage-efficient grid ideal for Earth observation data.
Web Mercator and the quadtree have served web mapping well. They offer simplicity, consistency, and performance. But they fall short for Earth observation (EO) data. Their standard resolutions rarely align with common EO products like Landsat (30m), Sentinel (10m), or PlanetScope (3m). Worse, Web Mercator’s distortions can inflate global pixel counts by over 40%, leading to more storage and longer processing times.
In this session, we introduce a novel approach: a grid system based on a nonary tree. It’s designed with EO in mind, aligning cleanly with typical spatial resolutions and enabling seamless resampling between them. Combined with a cylindrical equal-area projection, this system offers an efficient, resolution-friendly framework for storing, analyzing, and visualizing global EO datasets without the usual trade-offs.
