We’re launching a library called Loam. Loam allows GDAL to be used in client-side code in a web application. Loam wraps a version of GDAL compiled to WebAssembly and makes the GDAL API and utilities available to Javascript running from within a web browser.
We’re launching a library called Loam. Loam allows GDAL to be used in client-side code in a web application. Loam wraps a version of GDAL compiled to WebAssembly and makes the GDAL API and utilities available to Javascript running from within a web browser.
This release presents a major jump in Raster Vision’s power and flexibility. The newly added features allow for finer control of the model training as well as greater flexibility in ingesting data.
STAC is a specification for enabling online search and discovery of geospatial assets. This post walks through getting started with a number of STAC APIs.
We compare the results of two machine learning models that detect clouds in Sentinel-2 satellite imagery and share pointers about models you can try for yourself.
k6.io provides a flexible base for load testing with a convenient scripting language, and the quickstart docs will get you pretty far, but testing with a session of TMS requests had some unique challenges.
Hear from labeling competition participants on why this diverse group of people came together, from across the world, to collaborate on a hallmark training dataset compliant with the STAC standard.
In this post, we’ll be using some advanced TypeScript libraries to help us stay type-safe even in the face of unknown inputs. In order to get the most from this post, I recommend having a basic understanding of TypeScript.
We joined with Radiant Earth at the Cloud Native Geospatial Sprint to run a labeling competition for non-technical folks. This resulted in over 2.3 million square kilometers mapped and lots of lessons learned.
This week, in collaboration with Geoscience Australia, we released our Sentinel-2 Cloud-Optimized GeoTIFF (COG) dataset on AWS Open Data. Our collection contains all 11.4 million scenes from the Sentinel-2 Public Dataset, except the JPEG2000 (JP2K) files are all converted to COGs. Our dataset is continuously updated to mirror the growth of the public Sentinel-2 data…
PySTAC 0.5.0 for STAC 1.0.0-beta.2 is released! We’re keeping PySTAC up with changes to the spec itself, and rounding out the library with new extensions and features. In this post, weโll catch you up with whatโs new.