These slides are a summarization of Cloud-Optimized Geospatial Formats Guide to support presentations.
Google Slides version of this content: Cloud-Optimized Geospatial Formats.
There is no one-size-fits-all packaging for data, as the optimal packaging is highly use-case dependent.
Task 51 - Cloud-Optimized Format Study
Authors: Chris Durbin, Patrick Quinn, Dana Shum
File formats are read-oriented to support:
image credit: Ryan Abernathey
Format | Data Type | Standard Status |
---|---|---|
Cloud-Optimized GeoTIFF (COG) | Raster | OGC standard for comment |
Zarr, Kerchunk, Icechunk | Multi-dimensional raster | ESDIS and OGC standards in development |
Cloud-Optimized Point Cloud (COPC), Entwine Point Tiles (EPT) | Point Clouds* | no known ESDIS or OGC standard |
FlatGeobuf, GeoParquet, | Vector | no known ESDIS, draft OGC standard |
Format | Adoption | Standard Status |
---|---|---|
Cloud-Optimized GeoTIFF (COG) | Widely adopted | OGC standard for comment |
Zarr, Kerchunk, Icechunk | (Less) widely adopted, especially in specific communities | ESDIS and OGC standards in development |
Entwine Point Tiles (EPT), Cloud-Optimized Point Cloud (COPC) | Less common (PDAL Supported) | no known ESDIS or OGC standard |
GeoParquet, FlatGeobuf | Less common (OGR Supported) | no known ESDIS, draft OGC standard |
image source: https://www.kitware.com/deciphering-cloud-optimized-geotiffs/
image source: https://medium.com/devseed/cog-talk-part-1-whats-new-941facbcd3d1
image source: https://xarray.dev/
image source: https://copc.io/
image source: https://worace.works/2022/02/23/kicking-the-tires-flatgeobuf/
image source: https://www.wherobots.ai/post/spatial-data-parquet-and-apache-sedona
Prior presentations and studies discussing multiple formats
Format Homepages and Explainers