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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!



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 >

Blazing a trail: SaraniaSat-led Team Shapes the Future of Space-Based Analytics

Blazing a trail: SaraniaSat-led Team Shapes the Future of Space-Based Analytics

10/13/2025

On July 24, 2025, a unique international partnership of SaraniaSat, NV5 Geospatial Software, BruhnBruhn Innovation (BBI), Netnod, and Hewlett Packard Enterprise (HPE) achieved something unprecedented: a true demonstration of cloud-native computing onboard the International Space Station (ISS) (Fig. 1). Figure 1. Hewlett... Read More >

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Getting to Know LiDAR

Anonym

I’ve worked with a lot of different types of geospatial data in my years at ITT VIS, but one type that I’ve had relatively little experience with is LiDAR. So, when ITT VIS announced that we would be releasing a new LiDAR application, E3De, I figured it was time to come up to speed. Here are a few things I’ve learned and helpful resources I’ve found, along the way:

What is LiDAR?

LiDAR = Light Detection and Ranging. In a nutshell, a LiDAR sensor measures distances by sending out and recording the return of laser pulses. A LiDAR system collects 3D data in the form of a point cloud. Here are some of the advantages of LiDAR:

  • Can be collected day or night.
  • Has relatively high accuracy (around 10 to 50 cm vertically and horizontally for airborne LiDAR).
  • Can penetrate through some features, such as trees.
  • Is less expensive and faster than classic photogrammetry.

What do you use LiDAR for?

LiDAR is used for many applications in many fields:

Field Example Application
Agriculture Estimate sun exposure of fieldsDetermine where to apply fertilizer
Archaeology Plan field campaignsFind features in microtopography revealed below vegetation Find broad features invisible from ground
Biology and Conservation Derive canopy height, biomass, leaf area index
Recreation Derive orienteering maps
Transportation Route planning
Geology Find subtle geomorphic features, like fault scarpsMeasure uplift, erosion
Defense and Intelligence Determine height of features warfighters will encounterFind features such as tanks Detect aerosol clouds of biological or chemical agents at a distance
Hydrology Surface hydrology modeling
Urban Line of sight analyses3D models of urban areas Finding buildings
Hazards Detection, Mitigation Hazard mapping (fire, flood, landslide)
Film Create CG environments

LiDAR for geospatial work is usually mounted on an airborne platform and pointed toward the ground. But it can also be non-airborne and pointed in any direction. For example, it can be used for meteorological and astronomical applications, and to help robots avoid obstacles. Some police speed guns use LiDAR. The band Radiohead even made their “House of Cards” video using LiDAR to model environments and people.

How do you get LiDAR data?

Many LiDAR users hire a commercial company to fly a LiDAR system over their area of interest. You can also download previously collected LiDAR datasets:

Where can you learn more?

What are the LiDAR resources you turn to most?

And, which features of LiDAR do you find most useful?

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