Jarrett Keifer

What if data formats didn't need their own libraries? The cylf ecosystem leverages WebAssembly to make codecs, format drivers, and storage drivers modular, sandboxed, and fetchable on-demand. Each can be developed independently and on its own lifecycle.

Dig into geospatial vector formats—including GeoJSON, WKT/WKB, and cloud-native GeoParquet—using Python to see in detail how vector features are stored in each format and to understand what cloud-native means for vector data.

Raster, vector, point cloud: every geospatial format solves the same core problems, including linearization, chunking, compression, and metadata. Let’s build a format from scratch to see these concerns in practice.

What if data formats didn't need their own libraries? The cylf ecosystem leverages WebAssembly to make codecs, format drivers, and storage drivers modular, sandboxed, and fetchable on-demand. Each can be developed independently and on its own lifecycle.

Dig into three cloud-native raster formats—COGs, Zarr, and Kerchunk—and learn how data access works under the hood with hands-on Python exercises, no image libraries required!

Dig into geospatial vector formats—including GeoJSON, WKT/WKB, and cloud-native GeoParquet—using Python to see in detail how vector features are stored in each format and to understand what cloud-native means for vector data.

A retrospective on building cirrus, a cloud-native framework for building STAC-based data orchestration pipelines. We'll look at the design and architecture evolution over five years of development and some lessons learned adapting to ecosystem and requirement changes.

Dig into three cloud-native raster formats—COGs, Zarr, and Kerchunk—and learn how data access works under the hood with hands-on Python exercises, no image libraries required!

Dig into geospatial vector formats—including GeoJSON, WKT/WKB, and cloud-native GeoParquet—using Python to see in detail how vector features are stored in each format and to understand what cloud-native means for vector data.

Zarr is gaining traction in geospatial workflows—but is it replacing COG, complementing it, or something else entirely? We’ll unpack the formats’ shared foundations, explore their tradeoffs, and offer a path toward better community guidance, tooling, and support.

Explore STAPI, a specification for a Sensor Tasking API. We’ll highlight recent developments, showcase the open-source projects being developed in the ecosystem, and share the community's vision of increased interoperability driving the next generation of geospatial workflows.

A retrospective on building cirrus, a cloud-native framework for building STAC-based data orchestration pipelines. We'll look at the design and architecture evolution over five years of development and some lessons learned adapting to ecosystem and requirement changes.

Dig into cloud-native raster formats—COGs, Zarr, and Kerchunk—and learn how data access works under the hood with hands-on Python exercises, no image libraries required!

Zarr is gaining traction in geospatial workflows—but is it replacing COG, complementing it, or something else entirely? We’ll unpack the formats’ shared foundations, explore their tradeoffs, and offer a path toward better community guidance, tooling, and support.

Explore STAPI, a specification for a Sensor Tasking API. We’ll highlight recent developments, showcase the open-source projects being developed in the ecosystem, and share the community's vision of increased interoperability driving the next generation of geospatial workflows.

Ever wonder what GDAL is doing under the hood when you read a GeoTIFF file? Doubly so when the file is a Cloud-optimized GeoTIFF (COG) on a remote server somewhere? Have you been wondering what this new GeoZarr thing is all about and how it actually works? Then there's the whole…

Earth-Search is a publicly-accessible SpatioTemporal Asset Catalog (STAC) index and API providing data discovery and access for several major geospatial data collections as part of the AWS Registry of Open Data (RODA), including Sentinel-1, Sentinel-2, Landsat Collection 2, and N…