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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!



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 >

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 >

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SAR Data Used to Extract Damage From Beirut Explosion

Amanda O'Connor

On August 4, a huge explosion devastated the port area of Beirut, Lebanon just after 18:00 (3:00pm GMT). The Sentinel-1 sensor operated by the European Space Agency (ESA) captured Synthetic Aperture Radar (SAR) data of the area at 3:45am.

The use of SAR data is increasing around the world due to its many benefits such as the ability to capture data at night, understand moisture content and see through smoke and cloud cover. SAR data is complex and very large so working with it isn’t always easy. SAR use varies throughout the world, but with free and easy Sentinel-1 access, use is growing, and analytics tools make using data from SAR sensors easier. NV5 Geospatial, in close collaboration with partner sarmap SA, have created easy-to-use tools for some of the most common SAR processing applications to democratize the benefits of SAR data to more users.

The above image shows a coherence map created from the Sentinel-1 both before the explosion in Beirut (on the left) and soon after (on the right). Dark areas show stark dissimilarity between the collects.  The Sentinel-1 data were collected at 3:45 am, showing the value of collecting in the dark when the event happend late in the day. The Sentinel-1 data was processed using ENVI SARscape Analytics by sarmap sa.

The Sentinel-2 RGB image (on the left) was collected July 24, 2020. The image on the right shows the damage detected superimposed onto the image. Damage could include debris, dust covering objects, structures altered by the explosion. The change detection workflow was run using ENVI SARscape Analytics to detect the coherence and intensity between before and after images of the area where the explosion occurred. This kind of change detection tracks subtle changes in structures and outputs a classification result.

The image on the left (Bilal Hussein/AP) is the port of Beirut following the blast, the image on the right shows the intact storage elevators (not red). The red areas indicate structures altered by the explosion.

 

The explosion in Beirut shows how SAR sensors and analytics can provide actionable information before smoke has cleared to assess destruction, guide aid and route emergency services, even with clouds or if something like this were to happen at night.

For more about ENVI SARscape, click here. If you would like additional information, please contact us at GeospatialInfo@NV5.com.

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