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NV5 Geospatial Blog

Each month, NV5 Geospatial posts new blog content across a variety of categories. Browse our latest posts below to learn about important geospatial information or use the search bar to find a specific topic or author. Stay informed of the latest blog posts, events, and technologies by joining our email list!



New ENVI Agent, IDL Agent, and GeoAgent Quick Guides

New ENVI Agent, IDL Agent, and GeoAgent Quick Guides

6/9/2026

The recent release of ENVI® Agent, IDL® Agent, and GeoAgent™ revolutionize how users interact with geospatial software. These agentic AI applications act as partners to plan, simplify, and execute complex workflows. Knowing where to start can be challenging for new users. To this end, we developed three new quick guides to... Read More >

Introducing NISAR Data Support

Introducing NISAR Data Support

6/5/2026

The release of ENVI® SARscape 6.3 in April 2026 includes preliminary support for NASA-ISRO SAR (NISAR) data. The NISAR mission is a joint Earth-observing satellite project between NASA and the Indian Space Research Organization designed to monitor changes in the planet’s land and ice surfaces using advanced radar imaging. It... Read More >

Monitoring Illegal Mining in the Amazon: Turning Persistent Data Into Actionable Insight

Monitoring Illegal Mining in the Amazon: Turning Persistent Data Into Actionable Insight

5/28/2026

Illegal mining over decades has constituted one of the most persistent and complex socio-environmental problems in the Brazilian Amazon. In recent years, with the increasingly intensive use of mechanized extraction, the associated environmental impacts—such as deforestation, intense soil disturbance, river siltation, and mercury... Read More >

From Answers to Action: Why ENVI and IDL Agents Go Beyond General AI

From Answers to Action: Why ENVI and IDL Agents Go Beyond General AI

4/20/2026

As generative AI tools like Claude and Gemini continue to gain traction, many organizations are asking the same question: Can general purpose AI actually support real geospatial workflows, or does it stop at surface-level answers? That question was front and center in our recent webinar, Meet Your New Partners in Science: ENVI... Read More >

Mapping Earthquake Deformation in Taiwan With ENVI

Mapping Earthquake Deformation in Taiwan With ENVI

12/15/2025

Unlocking Critical Insights With ENVI® Tools Taiwan sits at the junction of major tectonic plates and regularly experiences powerful earthquakes. Understanding how the ground moves during these events is essential for disaster preparedness, public safety, and building community resilience. But traditional approaches like field... Read More >

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How Does Google Get Accurate Geoinformation for Google Maps?

Anonym

Have you ever wondered how Google Maps manages to have reasonably accurate map data for so much of the world? I ran across an interesting video from Google’s I/O 2013 conference, about their Ground Truth project, which compiles and refines data from various authoritative sources to populate Google Maps.  The project has mapped 43 countries in the first five years, and is working to expand to new countries.

It’s a really enormous job. Think about having to keep track of which directions you can turn from each road into every road intersection in 43 different countries. For one thing, that’s obviously a lot of intersections. For another, it changes over time. So, the first two ingredients in Google’s magical formula for providing accurate map data are a huge number of people, and a truly massive collection of geoinformation.

With all of those the people and data, Google’s approach is to take the highest quality raw map data, and successively clean it up with satellite and aerial imagery, and their own Street View panoramic, street-level imagery. Most of this is done with Google’s own internal, homegrown, mapping tool, Atlas. In addition to providing an interface for manual corrections, Atlas also uses algorithms to automate certain tasks. For example, it has algorithms that check street names in the maps against street signs visible in Street View imagery.

The video briefly shows a really neat feature in Atlas (see minute 9:12) which starts with a top down view of an area, and then allows you to browse around that view with a fish-eye viewer showing Street View data under the location of the cursor. It’s hard to describe in words, but quite slick and intuitive when you see it.

Ground_Truthwithfisheye

Google’s internal, homegrown Atlas software provides the ability to see a fisheye-lens view of a particular location. The fisheye view shows Google’s Street View panoramic, street-level data. (Credit: Stephen Shankland/CNET)

I was also impressed by Google’s process of repeatedly revising previously mapped areas. An important source of updates is Google map users themselves, who are presented within the Google Maps interfaces with mechanisms for reporting mistakes. Google also has a browser-based product called Mapmaker that allows interested users to add their own map information, and make their own changes to Google’s maps. Changes made in this way are then moderated by Google staff to ensure that the changes conform to all Google policies. This is how Google Maps is able to provide data for 200 countries – far more than Google has addressed in their Ground Truth program.

If you ever use Google Maps and wonder how it all works, this video is worth a view.

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