All blog posts
<- View categories
-
Join the OpenCities AI Challenge and Detect Building Footprints from Aerial Imagery
We partnered with Driven Data and the World Bank to develop the Open Cities AI Challenge. This challenge uses machine learning to extract building footprints in unmapped areas to promote disaster resilience.
-
Join the OpenCities AI Challenge and Detect Building Footprints from Aerial Imagery
We partnered with Driven Data and the World Bank to develop the Open Cities AI Challenge. This challenge uses machine learning to extract building footprints in unmapped areas to promote disaster resilience.
-
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…
-
How to Find the Most Recent Satellite Imagery Anywhere on Earth
Every project with satellite imagery begins with a data source. Here’s a rundown of the best options, considering cost, usability, and resolution.
-
Calculating Rural Road Access Globally Using Open Datasets
We used three open datasets to calculate the number of people in the world who do not have sufficient access to a road in an effort to move forward the conversation on the Rural Access Indicator (RAI).
-
5 Ways to Make Your Office Event More Inclusive
Our workforce is more diverse than ever. Most offices are made up of folks from different cultures, remote workers, parents, colleagues with disabilities, and people with a range of dietary restrictions. This is our five-step guide to help companies consider all of these factors and plan more inclusive office events.
-
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…
-
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.
-
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.
-
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?
-
AWS Public Safety and Disaster Response Competency
Hanging just above the reception desk at our office in Alexandria are three framed posters–one for each of our company values. Now you may think that’s a bit cheesy–in a sort of team-rowing-motivational poster kind of way–but they truly drive our work, decision making and business outlook at Element 84. For me, our most important…