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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!



New ENVI Agent, IDL Agent, and GeoAgent Quick Guides

New ENVI Agent, IDL Agent, and GeoAgent Quick Guides

6/9/2026

The recent release of ENVI® Agent, IDL® Agent, and GeoAgent™ revolutionize how users interact with geospatial software. These agentic AI applications act as partners to plan, simplify, and execute complex workflows. Knowing where to start can be challenging for new users. To this end, we developed three new quick guides to... Read More >

Introducing NISAR Data Support

Introducing NISAR Data Support

6/5/2026

The release of ENVI® SARscape 6.3 in April 2026 includes preliminary support for NASA-ISRO SAR (NISAR) data. The NISAR mission is a joint Earth-observing satellite project between NASA and the Indian Space Research Organization designed to monitor changes in the planet’s land and ice surfaces using advanced radar imaging. It... Read More >

Monitoring Illegal Mining in the Amazon: Turning Persistent Data Into Actionable Insight

Monitoring Illegal Mining in the Amazon: Turning Persistent Data Into Actionable Insight

5/28/2026

Illegal mining over decades has constituted one of the most persistent and complex socio-environmental problems in the Brazilian Amazon. In recent years, with the increasingly intensive use of mechanized extraction, the associated environmental impacts—such as deforestation, intense soil disturbance, river siltation, and mercury... Read More >

From Answers to Action: Why ENVI and IDL Agents Go Beyond General AI

From Answers to Action: Why ENVI and IDL Agents Go Beyond General AI

4/20/2026

As generative AI tools like Claude and Gemini continue to gain traction, many organizations are asking the same question: Can general purpose AI actually support real geospatial workflows, or does it stop at surface-level answers? That question was front and center in our recent webinar, Meet Your New Partners in Science: ENVI... Read More >

Mapping Earthquake Deformation in Taiwan With ENVI

Mapping Earthquake Deformation in Taiwan With ENVI

12/15/2025

Unlocking Critical Insights With ENVI® Tools Taiwan sits at the junction of major tectonic plates and regularly experiences powerful earthquakes. Understanding how the ground moves during these events is essential for disaster preparedness, public safety, and building community resilience. But traditional approaches like field... 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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