COGs

Purpose

Outline how cloud-optimized GeoTIFFs support efficient raster access for large imagery collections and production geospatial systems.

Outline

• Core COG layout concepts, including internal tiling, overviews, and byte-range reads
• How COGs improve partial reads for maps, notebooks, APIs, and batch jobs
• Storage and compression choices that affect cost, latency, and downstream compatibility
• Validation, metadata, and lifecycle considerations for imagery archives
• How COGs fit with catalogs, mosaics, and distributed raster processing

Later Examples

• Inspecting COG structure and overviews
• Choosing tile size and compression for common raster workloads
• Publishing a small COG-backed imagery collection with catalog metadata