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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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Did you say LiDAR or LADAR?

Anonym

Early in my career I was a GIS Analyst for a small county government in upstate NY. At the time, the county was acquiring LiDAR data along with orthophotography to augment its GIS database. The plan was to use the LiDAR data to produce 2' elevation contours and digital elevation models for watershed modeling and environmental planning.

A few years later I found myself working for an engineering organization.  My boss asked me if I knew anything about LADAR. I said, do you mean LiDAR? He said, no LADAR, our intelligence customer uses it to identify targets. And this was my first introduction to the use of LiDAR vs. LADAR terminology.

LiDAR stands for Light Detection And Ranging and LADAR stands for LAser Detection And Ranging. They are both acronyms that represent one type of remote sensing technology that can determine the distance between a sensor and an object. Coupled with the known location of the sensor, the range information can be used to produce a highly detailed 3-dimensional map of the object. So why the distinction?

It's a story of community adoption. LiDAR was probably first on the scene when the technology started to emerge in the 1950's. As the technology gained adoption by the military the term LADAR emerged. My guess is that LADAR was popular with the defense community due to its similarity to RADAR (RAdio Detection And Ranging, a similar range finding technology that uses a different type of electromagnetic signals).

Today, you'll find that LiDAR is typically used by folks interested in mapping terrain or collecting information about the atmosphere. Whereas, LADAR is used by people who are interested in locating and characterizing smaller point targets like vehicles or other manmade objects. Either way, it is the same basic technology, only the type of target being 'ranged' is different.

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