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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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From Image to Insight: How GEOINT Automation Is Changing the Speed of Decision-Making

Erin Eckles

When every second counts, the ability to process geospatial data rapidly and accurately isn’t just helpful, it’s critical. Geospatial Intelligence (GEOINT) has always played a pivotal role in defense, security, and disaster response. But in high-tempo operations, traditional workflows are no longer fast enough. Analysts are often flooded with imagery from satellites, drones, and sensors. Processing that data manually—annotating, labeling, interpreting—slows decision-making and introduces risk.

So, what’s the solution? Automation. Integration. And a complete rethinking of the workflow.

One Ecosystem, End-to-End Automation

 

The ENVI® Ecosystem is built for the new GEOINT era. It integrates AI, deep learning, automation, and predictive analytics into a cohesive, interoperable platform that helps analysts and decision-makers go from raw imagery to insights in a fraction of the time.

This system doesn’t just make existing workflows more efficient—it reshapes what’s possible.

 

From data discovery to decision support, here’s what’s changed: 

 

Data Discovery and Labeling Without the Bottlenecks

High-quality training data is the backbone of any AI/ML workflow. The ENVI Ecosystem includes tools like ENVI Connect that simplify labeling with intuitive, high-speed annotation features. In fact, users can label up to 800 objects per hour—no coding required. Faster labeling means faster model training, deployment, and iteration.

Training & Deployment on Your Terms

With ENVI’s open-source-compatible deep learning tools (including TensorFlow integration), users can train custom object detection or segmentation models and apply them to real-world scenarios, whether on Windows or Linux, with GPU acceleration when needed. Analysts don’t need to be data scientists to create powerful, mission-specific models.

 

Autonomous Detection – Eyes on Target, Always

The ENVI Ecosystem includes components like ENVI Inform that enable continuous scanning and autonomous monitoring of areas of interest, flagging critical features in real time. It also predicts object movement based on terrain, direction, and speed; a capability known as custody tracking. Automation keeps a watch when analysts can’t.

 

Predictive Alerts – Get There First

What if you knew where to look next? ENVI’s predictive analytics and early alerting tools notify users when key changes are detected and forecasts where tracked objects are headed, helping you prioritize response before threats escalate. Less noise means analysts get to the “what’s next” faster than ever.

Built for Federal, Defense, and Emergency Response

The ENVI Ecosystem isn’t theoretical, it’s in use today across DoD, IC, public safety, and commercial sectors. It empowers teams to move from image collection to mission execution with fewer steps and greater confidence. Whether you’re a GEOINT analyst, a program director, or a decision-maker looking for faster, smarter workflow, this is the future of operational intelligence.

 


 

 

Explore The Entire GEOINT Blog Series

 

 

 

 


 

 

Ready to Go from Image to Insight?

Let our experts walk you through the ENVI Ecosystem and show you how to transform your operations with automated, scalable geospatial intelligence. Contact us for more information.

 

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