We’ve seen a trend in requests from potential clients. Organizations are bringing us complex, built-in-house Excel spreadsheets and asking us to convert them into web-based decision-support tools to make their data more useful, user-friendly, and secure.
Weโve seen a trend in requests from potential clients. Organizations are bringing us complex, built-in-house Excel spreadsheets and asking us to convert them into web-based decision-support tools to make their data more useful, user-friendly, and secure.
DistrictBuilder, Azaveaโs free redistricting tool, recently held a competition in partnership with the Public Mapping Project to encourage more participation in the redistricting process.
With Probable Futures, Azavea designed a web-based tool that informs the public on the local impacts of climate change and drives action.
Azavea is releasing a dataset consisting of 32 unique Sentinel-2 tiles with cloud labels produced by humans.
At the end of June, Casual Space Podcast hosted by Beth Mund, published a conversation she had with Dan Pilone, Co-Founder and CTO. The conversation covered a lot of ground (pun intended!). It was impressive that Dan was the first person sheโs had on her show to talk about the data and informatics side of…
Using open source data and easily customizable software, Azavea worked with PeopleForBikes to improve city transit networks.
We are looking forward to the ESIP Meeting this week, July 19-23, 2021. Our engagement with ESIP is deep. Element 84 (E84) has been a member of ESIP since 2014 and we have sponsored every ESIP meeting since they started their meeting sponsor program in July 2017, making this our 8th sponsorship! By supporting ESIP,…
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.
SAR imagery is having a moment. In this blog we explore what exactly it is, why it is so special, and tips for labeling it.
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.