We just added 2 million km² of LiDAR for the US and are making this basemap data available across all of our products. Additionally, for customers collecting their own LiDAR data we are providing tools to easily add your LiDAR to Hivemapper. If that wasn’t enough, we are providing improved tooling to easily visualize and analyze LiDAR data directly in Hivemapper.

2 million km² of LiDAR basemap coverage in US

Choosing Hivemapper is choosing more than our unique map generation and analytics pipeline, it’s choosing data. We have built our LiDAR data from multiple sources and built integrations with some of the largest LiDAR data warehouses and distributors. In the US alone we have 2 million km² of LiDAR map coverage — that’s over 20% of the US land area covering about 70% of the US population.

We are making this LiDAR data available across all of our products. Additionally, for select customers we have access to large scale LiDAR maps across the world — please contact us for further information.

Hivemapper is built for collaboration. While you always have complete control and privacy of your own data, you can enjoy fresh public LiDAR data contributed by other users and organizations who chose to share their LiDAR data through the Hivemapper platform. For example, by working with researchers at UC Santa Barbara we will ingest and make public their LiDAR data collected after the January 2018 mud slides. Thanks to their contributions the entire Hivemapper community will have access to this fresh and expanded LiDAR map coverage in Hivemapper.

User experience for importing LiDAR in Colony (on-premise)

Add your LiDAR to Hivemapper

Importing your freshly collected LiDAR data, or your old LiDAR archive, is easy. Any LAS or LAZ file can be uploaded into Hivemapper. You can keep your LiDAR private to only your account but we encourage you to consider making it available across the Hivemapper network of customers and partners. Not only can others use LiDAR data to accelerate their own mapping projects but you can earn credits on Hivemapper for sharing this data across the network.

Visualize and analyze large scale LiDAR maps in Hivemapper

Ingesting and rendering individual LiDAR files is hard. Yet, creating a complete LiDAR map is far harder. Creating a LiDAR map is more than just aggregation — it’s something else all together. Upon ingesting new LiDAR data, our automated mapping pipeline compares the new data to the existing map and updates it accordingly. The comparison accounts for both spatial overlap and temporal difference.

Then our 3D map application renders the LiDAR map and allows intuitive 3D navigation and analysis like coordinates for each point upon hover, measuring in all three dimensions, and of course Change Detection.