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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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GIS in the Rockies 2015: Presentation Preview

Anonym

I was really excited to learn recently that an abstract I submitted to GIS in the Rockies 2015 was accepted. So for today's blog I decided to give a sneak preview of the abstract titled "Today’s Vision: Tomorrow’s Reality".

Over the years, I’ve developed some extensive proof of concept workflows for customers, and some of the most intensive work has been around generating accuracy assessments of ground survey vs. airborne LiDAR to help determine if augmenting, or even in some cases substituting, an airborne survey is accurate enough to meet project requirements. These projects seem to be driven by the prospect of saving time. But the goal of time saved is not only to retain profit. It is also driven by the possibility of safety improvements and even in some cases accuracy improvement!

So what we’re going to look at is the surface that’s generated from the points in two different ways. First, we’ll take a look at the vertical comparison, and to do that we’ll compare survey acquired ground control points (GCPs) and the LiDAR-derived surface generated from the image overlap. From this process we can compute the error and we end up with a quantifiable method to assess the airborne survey vertical accuracy.

The second thing we’ll look at are the contour lines that are generated from the survey and comparing them to contour lines generated from the point cloud analysis. This will give us a good idea of qualitative horizontal accuracy. These metrics can be useful to determine if the airborne accuracy meets project specifications.

In my presentation I will be sure to discuss geoid correction, re-projecting the point cloud to the survey projection, and methods for volumetric analysis. I hope to see you September 23-24 in Denver for GIS in the Rockies!

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