Geospatial
<-Return to all blogs
Using Kerchunk to make NOAA’s National Water Model Dataset more accessible
In this blog, we discuss our experience using Kerchunk to improve access times to short-range streamflow predictions generated by NOAA’s National Water Model Predictions Dataset, achieving a speedup of 4 times, using 16 times less memory.
Announcing our 2023 Geospatial Tech Radar
Ahead of this year’s FOSS4G North America gathering, we’re rolling out a 2023 edition of our Geospatial Tech Radar idea, which we plan to update annually to track what’s up-and-coming in geospatial techniques, standards, data, and tools/platforms.
Streamlining search-and-rescue operations using machine learning on the edge
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.
Introducing Earth Search Console: An AWS Open Data Exploration UI
In this blog, we’ll detail how Earth Search Console leverages FilmDrop, and what Console components we are most excited about.
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.
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.
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.
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.
How Microsoft’s 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.
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.