Software Engineering
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Run-Time Type Checking in TypeScript with io-ts
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.
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Run-Time Type Checking in TypeScript with io-ts
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.
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Three Lessons from Running an Imagery Labeling Competition
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.
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Sentinel-2 Cloud-Optimized GeoTIFFs Now Available on AWS Registry of Open Data
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…
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PySTAC 0.5.0 for STAC 1.0.0-beta.2
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, we’ll catch you up with what’s new.
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Amazon Web Services and Amazon Rain Forests: A Software Architectural Review
WRI hired Azavea to perform a software architectural review to evaluate the technical organization of Global Forest Watch.
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3 Tips to Optimize Your Machine Learning Project for Data Labeling
Mining the knowledge and expertise of your data labeling team will improve the data quality of your machine learning project and increase your team’s productivity.
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White Paper: Creating a GEDI Geo-Locator
Remote sensing instruments like NASA’s GEDI, which is mounted to the Japanese Experiment Module – Exposed Facility (JEM-EF) on the International Space Station (ISS), produce a massive amount of data and one of the tools scientists use when working with those data is a geo-locator–a geographic coordinates search engine. GEDI, launched in 2018, is the…
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Introducing Raster Vision 0.12
We refactored the Raster Vision codebase from the ground up to make it simpler, more consistent, and more flexible. Check out Raster Vision 0.12.
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SpaceNet Data Now Available in GroundWork
Incorporate high-resolution satellite imagery into your labeling projects for free.
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Image Classification Labeling: Single Class versus Multiple Class Projects
When labeling for image classification is it faster to complete projects with single or multiple classes? We ran an experiment to find out.
