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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!



Not All Supernovae Are Created Equal: Rethinking the Universe’s Measuring Tools

Not All Supernovae Are Created Equal: Rethinking the Universe’s Measuring Tools

6/3/2025

Rethinking the Reliability of Type 1a Supernovae   How do astronomers measure the universe? It all starts with distance. From gauging the size of a galaxy to calculating how fast the universe is expanding, measuring cosmic distances is essential to understanding everything in the sky. For nearby stars, astronomers use... Read More >

Using LLMs To Research Remote Sensing Software: Helpful, but Incomplete

Using LLMs To Research Remote Sensing Software: Helpful, but Incomplete

5/26/2025

Whether you’re new to remote sensing or a seasoned expert, there is no doubt that large language models (LLMs) like OpenAI’s ChatGPT or Google’s Gemini can be incredibly useful in many aspects of research. From exploring the electromagnetic spectrum to creating object detection models using the latest deep learning... Read More >

From Image to Insight: How GEOINT Automation Is Changing the Speed of Decision-Making

From Image to Insight: How GEOINT Automation Is Changing the Speed of Decision-Making

4/28/2025

When every second counts, the ability to process geospatial data rapidly and accurately isn’t just helpful, it’s critical. Geospatial Intelligence (GEOINT) has always played a pivotal role in defense, security, and disaster response. But in high-tempo operations, traditional workflows are no longer fast enough. Analysts are... Read More >

Thermal Infrared Echoes: Illuminating the Last Gasp of a Dying Star

Thermal Infrared Echoes: Illuminating the Last Gasp of a Dying Star

4/24/2025

This blog was written by Eli Dwek, Emeritus, NASA Goddard Space Flight Center, Greenbelt, MD and Research Fellow, Center for Astrophysics, Harvard & Smithsonian, Cambridge, MA. It is the fifth blog in a series showcasing our IDL® Fellows program which supports passionate retired IDL users who may need support to continue their work... Read More >

A New Era of Hyperspectral Imaging with ENVI® and Wyvern’s Open Data Program

A New Era of Hyperspectral Imaging with ENVI® and Wyvern’s Open Data Program

2/25/2025

This blog was written in collaboration with Adam O’Connor from Wyvern.   As hyperspectral imaging (HSI) continues to grow in importance, access to high-quality satellite data is key to unlocking new insights in environmental monitoring, agriculture, forestry, mining, security, energy infrastructure management, and more.... Read More >

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The Perks of Being a Beta Tester

Anonym

As part of the Commercial Services Group here at NV5 Geospatial (formerly Harris), I have a unique opportunity of using our latest and greatest tech, often before it even goes public. (Making me a bit of a beta tester sometimes.) Over the past couple months, I’ve had the pleasure of getting to work with some of our newest tech, and it’s very exciting. The two pieces of technology I’ve had my hands on are our Geospatial Services Framework (GSF), and our machine learning tool known as MEGA.

The Geospatial Framework has given me a lot of power in setting up large amounts of processing either locally, or on a server. It allows for clustering, many different processing engines, and even lets you hook it into custom websites. From what I’ve seen, it’s very flexible and powerful tech.

MEGA, which I’m also extremely excited about, is a new way to tackle feature extraction problems. Though I don’t understand the underlying development of artificial intelligence, I have had hands on experience training this deep learning system. While the code is complex, the idea is not – first, feed the system examples of what you are looking for in imagery. Once the system is trained, the software will tell you locations and confidences for where those objects of interest are.

Image: http://stats.stackexchange.com/questions/tagged/deep-learning

Using these two technologies together, I’ve been classifying large amounts of image data quickly through a deep learning system, and the sky really is the limit. With GSF, the ability to scale up just depends on how much hardware you can allocate to a task.

The more I use and learn about these technologies, the more excited I become about them. The best part is that they are very new, so they have room to become more and more powerful and robust. Can’t wait!!

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