Author: Julia Signell
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Metadata makes the data format: metadata storage and representation across array formats
In this continuation of our recent raster data format blog series we discuss metadata: how do COG and Zarr represent metadata and how can geospatial coordinate metadata be represented across different formats? Where should metadata be stored? and more!
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Metadata makes the data format: metadata storage and representation across array formats
In this continuation of our recent raster data format blog series we discuss metadata: how do COG and Zarr represent metadata and how can geospatial coordinate metadata be represented across different formats? Where should metadata be stored? and more!
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Mobilizing Metadata; using STAC to Manage Risk in the Reinsurance Industry
Data doesnโt have any value unless you can use itโฆ and trust it. Users need to quickly access data and know where it came from. This is especially true with the integration of AI, making quick access more achievable but data provenance more opaque. This is where STAC comes in. The reinsurance industry uses climate…
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Beyond the default: a modern guide to raster compression
We discuss community concerns surrounding raster compression and key metrics for evaluating compression effectiveness.
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Chunks and Chunkability: An Origin Story
If you accept that we are living through the Tyranny of the Chunk, then you might be wondering how we got to this place. Who created the first chunks and what was their motivation? As we explore the history of different data formats we’ll see recurring patterns of thinking around how much information to consolidate…
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Chunks and Chunkability: Tyranny of the Chunk
We discuss our attempt to understand chunks and chunking more deeply including where we are today and where we might go from here.
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Is Zarr the new COG?
Just to be upfront and get it out there: no. Despite what you may have heard, Zarr is not (yet) a replacement for the Cloud-Optimized GeoTIFF (COG) format. Zarr is great for Level 3 and Level 4 n-dimensional data cubes. COG is great for Level 1, Level 2, and other non-data-cube rasters. Enthusiastic Zarr users…
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Zarr + STAC
As part of our work writing a STAC + Zarr Report for the Cloud Optimized Geospatial Formats Guide our team is exploring the partially overlapping goals of STAC and Zarr and offering suggestions for how to use them together. This effort is particularly relevant currently due to several recent developments in the space that we…
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Modularization and Extensibility in Scientific Python
We discuss how modularization and extensibility serve to make the scientific Python ecosystem more accessible to users, and how this concept is reflected in STAC.
