Raster Processing Pipelines

Purpose

Outline the structure of repeatable raster processing pipelines for transforming imagery into analysis-ready products.

Outline

• Pipeline stages from ingestion and validation through masking, reprojection, compositing, and export
• Data model choices for scenes, tiles, temporal stacks, and derived products
• Managing metadata, provenance, quality flags, and processing parameters
• Balancing intermediate storage, recomputation, and workflow orchestration
• Testing and monitoring strategies for raster products at scale

Later Examples

• A batch pipeline for producing cloud-masked seasonal composites
• Naming and metadata conventions for derived raster products
• Failure handling patterns for large scene collections