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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!



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 >

Comparing Amplitude and Coherence Time Series With ICEYE US GTR Data and ENVI SARscape

Comparing Amplitude and Coherence Time Series With ICEYE US GTR Data and ENVI SARscape

12/3/2025

Large commercial SAR satellite constellations have opened a new era for persistent Earth monitoring, giving analysts the ability to move beyond simple two-image comparisons into robust time series analysis. By acquiring SAR data with near-identical geometry every 24 hours, Ground Track Repeat (GTR) missions minimize geometric decorrelation,... Read More >

Empowering D&I Analysts to Maximize the Value of SAR

Empowering D&I Analysts to Maximize the Value of SAR

12/1/2025

Defense and intelligence (D&I) analysts rely on high-resolution imagery with frequent revisit times to effectively monitor operational areas. While optical imagery is valuable, it faces limitations from cloud cover, smoke, and in some cases, infrequent revisit times. These challenges can hinder timely and accurate data collection and... Read More >

Easily Share Workflows With the Analytics Repository

Easily Share Workflows With the Analytics Repository

10/27/2025

With the recent release of ENVI® 6.2 and the Analytics Repository, it’s now easier than ever to create and share image processing workflows across your organization. With that in mind, we wrote this blog to: Introduce the Analytics Repository Describe how you can use ENVI’s interactive workflows to... Read More >

Deploy, Share, Repeat: AI Meets the Analytics Repository

Deploy, Share, Repeat: AI Meets the Analytics Repository

10/13/2025

The upcoming release of ENVI® Deep Learning 4.0 makes it easier than ever to import, deploy, and share AI models, including industry-standard ONNX models, using the integrated Analytics Repository. Whether you're building deep learning models in PyTorch, TensorFlow, or using ENVI’s native model creation tools, ENVI... 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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