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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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Disable window updates to improve (New) Graphics performance

Anonym
When making a visualization with many graphic elements in NG, you can improve the render speed by disabling updates to the window. For example, this program displays a 3-by-5 grid of sample plots and prints to the console the time taken in doing so:
pro grid3by5
   compile_opt idl2

   n_rows = 5
   n_cols = 3

   start_time = systime(/seconds)

   w = window(dimensions=[500,700])
   ;w.refresh, /disable
   for i=1, n_rows*n_cols do $
      !null = plot(/test, layout=[n_cols, n_rows, i], color=!color.(i), /current)
   ;w.refresh

   end_time = systime(/seconds)
   print, 'Time elapsed (s): ', end_time – start_time
end
Here’s the console output from running this program on my laptop:
IDL> grid3by5
Time elapsed (s):        6.6850002
Note that you can also see the individual plots being rendered to the window, one after another. (I find this a little distracting.) Now uncomment the calls to disable and re-enable the NG Refresh method in GRID3BY5. This turns off intermediate updates to the window. After recompiling, here’s the console output from running the program:
IDL> grid3by5
Time elapsed (s):        3.4670000
That’s faster! Plus, you don’t see the individual plots being rendered to the window. Depending on what and how many graphic elements are in your visualization, you may see more or less of a performance boost, but speedups of a factor of two are not uncommon.
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