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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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Helios Proves To Be a Force Multiplier

Erin Eckles

Helios® was originally conceived to provide localized real-time weather information to detect the occurrence and impact of weather on road conditions along highways. By leveraging the Closed-Circuit TV network for highway traffic management and applying advanced analytics and machine learning to those feeds, Helios can detect and verify when roads are wet, snow covered, icy, and even provide alerts for fog conditions among others.

Overtime, Helios’ “eyes-on-the-ground” capabilities have also been used to help improve weather forecast and road models. The ability to detect ground truth fills the gaps that both satellite and radar miss (just because radar shows green, does not necessarily mean precipitation is hitting the ground). By providing on-the-ground-weather condition verification, Helios helps meteorologists fine-tune their algorithms to improve the accuracy of their weather forecasts.

Fig 1. In this graphic, Helios analytics camera shows roads are in fact dry while radar shows rain.

 

Last month, during Hurricane Florence, Helios proved again to be useful in other ways beyond those two use cases above. Thousands of citizens, and hundreds of Departments of Transportation (DOT) staff, emergency personnel, news organizations, big retail stores and others signed up to access Helios at no cost for the duration of the storm and its aftermath. We know that emergency and rescue personnel do best when they have actual verifiable intelligence about the locations they’re responding to. During Florence, DOTs, first responders and police benefitted from accessing the Helios’ camera network to validate and identify roads that were flooded so they could properly re-route traffic and emergency personnel avoid these roads when deploying emergency vehicles.

 

Fig 2. Helios extensive camera network and deep machine learning capabilities can automatically flag hazardous road conditions, such as storm surge and/or pooling water, to improve the efficiency and effectiveness of DOT response or to send alerts to drivers of this dangerous condition. Furthermore, it can document as the storm progresses for additional situational awareness.

As the 2018 winter season begins, Helios will again assist DOTs and all those organizations involved in securing safe navigation for those tasked with the free movement of freight. Helios can be used to track winter storms and enhance situational awareness by providing a second set of eyes on the ground to provide verification of weather impact on our roads. 

Fig 3. Helios instantly analyzes any set of persistent cameras and provides the current state of the weather and its impact on the ground.

Helios has become a force multiplier by providing a set of new perspectives on the weather with detailed verification of the unfolding impacts on the ground. If you’re interested in learning more, watch this webinar – Avoid Dangerous Road Conditions with Hyperlocal Weather Info.

 

 

 

 

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