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Exploring unsupervised change detection with Sentinel-2 vector embeddings
In this blog post, we explore the application of a foundation model pre-trained on Sentinel-2 imagery, to the downstream task of change detection.
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Exploring unsupervised change detection with Sentinel-2 vector embeddings
In this blog post, we explore the application of a foundation model pre-trained on Sentinel-2 imagery, to the downstream task of change detection.ย
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Using Amazon CloudFront Functions to Facilitate Smooth Project Transitions with Conditional Redirects
In this blog, we detail our experience making this project transition possible for our client by implementing conditional redirects via Amazon CloudFront functions.
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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.
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Introducing Raster Vision v0.21
In this post we highlight the major changes rolled out in the latest update of Raster Vision, our open-source ML library.
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Edge Processing of Drone Data for Search and Rescue using Open Source Tooling on an AWS Snowcone
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.
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The stactools Raster Footprint Utility
In this post we provide the context necessary for readers to create accurate raster footprints for use in their STAC metadata.
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Introducing Earth Search v1: New datasets now available
We outline the latest from Earth Search: an endpoint that hosts a catalog of Sentinel-2 and Landsat data to improve data accessibility.
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How Microsoftโs Planetary Computer Uses STAC
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.
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Unleashing the Power of Geospatial AI: Elevating our Machine Learning Offerings
We outline recent projects tackling complex challenges through the lens of Machine Learning and discuss how our past experience will shape future work.
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SpatioTemporal Asset Tasking Sprint #2 Recap
In this blog we recap the latest SpatioTemporal Asset tasking sprint that we hosted with industry leaders to generate new community standards.
