
In this blog, we discuss various improvements that we have made to the proposed workflow first discussed in our previous blog post focused on edge processing of drone imagery for search-and-rescue.
In this blog, we discuss various improvements that we have made to the proposed workflow first discussed in our previous blog post focused on edge processing of drone imagery for search-and-rescue.

In this blog, we’ll detail how Earth Search Console leverages FilmDrop, and what Console components we are most excited about.

In this blog, we detail our experience making this project transition possible for our client by implementing conditional redirects via Amazon CloudFront functions.

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.

In this post we highlight the major changes rolled out in the latest update of Raster Vision, our open-source ML library.

Element 84 has developed near real-time edge processing of drone and aerial imagery for human identification that leverages machine learning and AWS Snowcone edge capabilities during austere operations for search and rescue applications.

We outline the latest from Earth Search: an endpoint that hosts a catalog of Sentinel-2 and Landsat data to improve data accessibility.

We show how components of the Planetary Computer are based on both cloud-optimized formats & the STAC spec, and how this work benefits the larger community.
