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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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Building Custom Workflows Just Got Easier

Jason Wolfe

Have you ever had a great idea for a custom tool in ENVI® but were put off by learning the ENVI API? Traditionally, this was the only way to chain together various tasks in a sequence, or to batch-process input files at once. The learning curve can be steep if you are not familiar with basic IDL and ENVI programming.

With the release of ENVI 5.5, building custom data-processing workflows in ENVI is much easier, thanks to the ENVI Modeler. This is a new visual programming tool that leverages the power of the ENVI API with a simple user interface to help you create and run workflows that you can deploy to desktop and enterprise environments. You can design simple or complex processes that combine different ENVI spectral tools, without having any knowledge of ENVI programming.

For example, suppose that you want to convert multiple red/green/blue (RGB) images to hue/saturation/intensity (HSI) color space and save the results to disk. If you write an ENVI API script to do this, you would have to manage input and output file references yourself. You may not know the task names to use, and you could spend a lot of time referring to the help for the correct names of parameters. You would need to know how to create a FOR loop (with the correct IDL syntax) to process multiple input files.

With the ENVI Modeler, you can connect building blocks called nodes to run a sequence of steps; for example:

This model uses a File node (shown in the blue box) to point to six RGB input files. The primary job of this model is to perform an RGB-to-HSI conversion, so it needs a Task node that will do this. To find an appropriate task, you can enter a keyword in the Search field of the Tasks list:

In this case, the "RGB to HSI Raster" Task node will perform the RGB-to-HSI image conversion. An Iterator node allows you to batch-process the input files. Finally, a Generate Filename node lets you indicate where to save the output files, along with prefixes and extensions for the filenames. Running the model will produce six HSI images on disk:

Here is another example of a model that runs through a full workflow for Linear Spectral Unmixing to determine the relative abundance of minerals in a hyperspectral image:

Once you have built a model, you can share it with others and deploy it in various ways:

  • Save a model as an extension that will be added to the ENVI Toolbox.
  • Create IDL or Python code from a model.
  • Create toolbox extensions for ArcMap and/or ArcPro.
  • Run a model on a Geospatial Services Framework (GSF) server.

Example models are available in the ENVI Help, to get you started. By having a visual programming tool available in ENVI, you can design workflows that contain any number of ENVI analytic tools. What will you create?

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