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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!



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 >

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4.3

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

JP Metcalf

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 methods, these tools can jumpstart your understanding and provide helpful context on a wide range of remote sensing topics.

LLMs seem to know a little about everything, and they’re fast. For instance, when I asked ChatGPT (4o model), “Compare and contrast the top 3 desktop remote sensing software products,” it returned a clean, nicely formatted table in seconds.

 

 

The table broke down features like user interfaces, spectral/SAR processing, machine learning capabilities, and expected learning curve. At first glance, it looked accurate enough. But as I dug in, it became clear: LLMs are great at sounding confident, but not always great at being complete. 

Having worked extensively with all three of the platforms listed, I noticed a few gaps and oversimplifications. For example, the Spectral Capabilities section mentions NDVI as a feature for ENVI® and ArcGIS Pro. While technically correct, that sells ENVI short. I’d rather highlight something with more depth, like ENVI’s newly designed Spectral Hourglass Workflow, which truly showcases its analytical power.

Similarly, the entry for photogrammetry described ENVI’s capabilities as “Basic.” Overlooking not only its dedicated module, but also Summit Evolution, a world-class photogrammetric workstation. On the bright side, the LLM did correctly mention our ImageIQ software, which offers powerful UAV-focused photogrammetry tools.

The SAR Tools section was another missed opportunity. It didn’t mention ENVI SARscape, ENVI SARscape Analytics, or the new ENVI SAR Essentials module, which covers everything from basic to advanced SAR analysis. 

One more row in the table for geospatial services and enterprise capabilities could’ve made a big difference. It would have introduced readers to the ENVI Ecosystem, which includes cloud-based solutions like ENVI Inform for automated processing and ENVI Connect for intuitive, web-based data visualization and analysis across an organization.

So no, the AI-generated table wasn’t perfect. But that doesn’t mean LLMs aren’t helpful. In fact, they shine in several key areas:

 
  • Getting a baseline when you’re unfamiliar with a topic.

  • Quickly generating side-by-side feature comparisons (like the table above).

  • Summarizing dense documentation into digestible highlights.

 

Still, LLMs won’t replace domain expertise. If you’re seriously evaluating software for your workflows, whether it’s flood mapping, hyperspectral mineral detection, or precision agriculture, you’ll need to go further. That means reading user guides, engaging in community forums, and most importantly, trying out the software yourself.

AI can give you a head start. But when it comes to making informed decisions about geospatial technology, there’s no substitute for hands-on experience.

 

If you’d like to discuss different remote sensing solutions, simply reach out to us.

 

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