X

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!



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 >

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 >

1345678910Last
«February 2026»
SunMonTueWedThuFriSat
25262728293031
1234567
891011121314
15161718192021
22232425262728
1234567
19769 Rate this article:
5.0

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.

 

 

 

 

Please login or register to post comments.