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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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Unlocking New Possibilities with Landsat 9

Erin Eckles
 

Landsat 9 was launched in late September 2021, and on October 31st the satellite acquired a set of images known as “first light” (available online). These images serve as a preview of how the Landsat mission will improve on the programs near 50-year history of Earth satellite imagery that continues to help people prepare for and respond to natural disasters such as landslides and wildfires, manage vital natural resources and understand the impacts of climate change.

The NASA Landsat 9 team is conducting a 100-day “Commissioning Phase” to test the satellite’s systems, subsystems and calibrate its instruments. NASA will hand the mission over to the USGS in January at which time USGS will operate Landsat 9 along with Landsat 8. Together, the two satellites will collect approximately 1,500 images every day and cover the entire globe every eight days.

“The ENVI team can’t wait to start combining the data collected by Landsat 8 with that of the new Landsat 9 to get much higher temporal resolution,” said Austin Coates, Solutions Engineering Manager at NV5 Geospatial. “We have been looking at a lot of time series data recently, and it is incredible the insights you can derive from a series of images as compared to a single frame.”

Landsat 9 is similar in design to its predecessor Landsat 8, launched in 2013, but features several improvements. Landsat 9 will transmit data with higher radiometric resolution which will allow for the detection of more subtle differences, especially over darker areas like water or dense forests. For comparison, Landsat 9 differentiates more than 16,000 shades of a given wavelength color while Landsat 7, the satellite it is replacing, only detects 256 shades.

“ENVI has a rich heritage of isolating fine scale details in imagery, and we can’t wait to capitalize on the 14 bits of data produced by Landsat 9,” said Coates. “We are excited that this new bit depth will help us to unlock more information about dark targets like forests and deep water.”

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