
In the first installment of this three-part blog series, we summarize some of the latest research on automated building footprint extraction.
In the first installment of this three-part blog series, we summarize some of the latest research on automated building footprint extraction.

A recap of Azavea’s partnership with the Philadelphia Water Department to support stormwater management through Philadelphia’s Green City, Clean Waters plan.

Two weeks ago, right before SatSummit, we hosted a “Satellite Tasking API Sprint” at our office in Alexandria. The goal was to initiate a conversation around standardizing how users submit tasking requests to data providers. The companies attending, made up of data providers, analytics users, and developers, represented a wide and deep knowledge base around…

We outline our 10% time program in detail, highlight some notable examples and themes, and describe the impact of the program.

In this blog we demonstrate how an active learning approach can boost machine learning model performance with the human-in-the-loop workflow.

In order to benchmark efficiency, we take a deep dive into Zarr and Parquet data retrieval to compare performance on various time scales.

Due to Next.js’ ability to populate webpages in remote areas, we used it to build a decision-support tool that conveys landslide risk.

We donate a portion of our profits each year to support open source projects nominated by our team.

What is the Climate Change Learning Group? At Azavea, we’ve woven climate initiatives into the identity of our business. As one of the greatest threats to our planet’s future, climate change is something that unites and motivates our team. Recent hires at Azavea overwhelmingly cite climate work as a key motivator for joining the organization.…

The US Census counts most people in their residence using the household survey, but the group quarters count is particularly relevant to drawing district boundaries and impacts the redistricting process.
