Software Engineering
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America’s Cities are Sitting on a Gold Mine of Machine Learning Training Data
Cities may not know it, but by nature of collecting and maintaining various datasets, they are sitting on a treasure trove of machine learning-ready training data.
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America’s Cities are Sitting on a Gold Mine of Machine Learning Trainingย Data
Cities may not know it, but by nature of collecting and maintaining various datasets, they are sitting on a treasure trove of machine learning-ready training data.
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The Future of Machine Learning AMA
3 of our machine learning engineers answer your questions about the future of machine learning.
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Building Footprint Comparison in Cambodia: Orbital Insight and OpenStreetMap
We created a map that shows the difference between two building footprint datasets of Cambodia: OSM and Orbital Insights’ AI generated dataset.
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Color Correction in Space and at Sea
A common theme with projects at Element 84 is bridging the gap between data collection and its presentation to end-users. With satellite imagery, there is a pipeline of processing steps used to transform raw data into the imagery we see on our computers, phones and tablets. Basic Color Correction One of the important steps in…
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Give The Gift of a Tech Debt Sprint This Agile Holiday Season
Holidays can be a challenging time in software development. How can you make the most of your velocity and energize the team at the same time? The holiday challenge For a lot of teams, the holidays are a time of year when a large amount of peope take off after saving their PTO for the…
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3 Ways to Analyze the Results of a Supervised Machine Learning Model
How accurate are our supervised machine learning models and what are they really doing? We offer 3 tips to help you better understand these models.
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Modeling State with TypeScript
Working with frontend state can be challenging. With TypeScript, thoughtfully constructed types can help prevent bugs by making bad states unrepresentable. Let’s explore a common use case and examine how to do this effectively in TypeScript.
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Ethical Machine Learning for Disaster Relief: Rage for Machine Learning
ML’s predictive powers are driving a rage for deep learning in the crisis management and disaster relief industries. How can these powers be harnessed for ethical machine learning?
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Ethical Machine Learning for Disaster Relief: Avoiding the Second Disaster
Machine learning on satellite imagery is revolutionizing disaster relief. What does ethical machine learning mean in this field?
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Betting Big on the Spatiotemporal Asset Catalog (STAC) Standard
We’re investing heavily in the STAC specification – including building a STAC-compatible Python library and server as well contributing to the Label Extension. We’re hoping this work will help accelerate adoption across the geospatial engineering community more broadly.
