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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!



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 >

NV5 at ESA’s Living Planet Symposium 2025

NV5 at ESA’s Living Planet Symposium 2025

9/16/2025

We recently presented three cutting-edge research posters at the ESA Living Planet Symposium 2025 in Vienna, showcasing how NV5 technology and the ENVI® Ecosystem support innovation across ocean monitoring, mineral exploration, and disaster management. Explore each topic below and access the full posters to learn... Read More >

Monitor, Measure & Mitigate: Integrated Solutions for Geohazard Risk

Monitor, Measure & Mitigate: Integrated Solutions for Geohazard Risk

9/8/2025

Geohazards such as slope instability, erosion, settlement, or seepage pose ongoing risks to critical infrastructure. Roads, railways, pipelines, and utility corridors are especially vulnerable to these natural and human-influenced processes, which can evolve silently until sudden failure occurs. Traditional ground surveys provide only periodic... Read More >

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A cool visualization with (New) Graphics

Anonym

Matt Trawick, an associate professor of physics at the University of Richmond, develops atomic force microscopy techniques for use in studying various nanostructures. He used C++ and IDL 8 to analyze his data and produce, with (New) Graphics, this visualization:

Matt Trawick: aligning scans from an atomic force microscope

Here’s Prof. Trawick’s description:

The blue and yellow surfaces are two different scans of a sample (a thin gold film deposited on mica) made with an atomic force microscope, which operates by physically rastering a sharp tip across a sample surface. All units in the figure are in nanometers. When originally taken, the two scans were distorted (stretched, skewed, and tilted) by about 100 nanometers due to positional drift in the microscope, a common problem caused by, for instance, environmental temperature change during imaging. The two distorted scans were corrected, independently, using a new technique I have developed in my laboratory. The purpose of this graphic is to show the extent to which these corrected images are aligned. The vector annotations show the residual in-plane (black) and perpendicular (red) displacement of the top image for each of the square regions shown. The lengths of the arrows are exaggerated by 40x relative to their respective scales on the graph. All numerical analysis of these corrected scans was performed in IDL.

Thanks, Matt! If you’ve made a cool visualization with IDL that you’d like to share, please let me know and I’ll post it, along with a description.

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