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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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Making a multi-panel plot

Anonym

Multiple-panel plots (or small multiples, from Edward Tufte) group a set of plots for convenient comparison. In DG, multi-panel plots can be built with the !p.multi system variable, or the MULTIPLOT astrolib routine. I'd like to show how to make a multi-panel plot in NG. I coded up an example that creates a set of plots similar to those on the NCAR Foothills Lab weather station page, when we had a windstorm in Boulder. Here's the result:

A six-panel plot of measurements from the NCAR FL weather station.

You can download the example program and its associated data from here. If I could run a lowpass filter over my code, here's the fundamental structure that would emerge:

 p1 = plot(data1, layout=[2,3,1]) p2 = plot(data2, layout=[2,3,2], /current) p3 = plot(data3, layout=[2,3,3], /current) p4 = plot(data4, layout=[2,3,4], /current) p5 = plot(data5, layout=[2,3,5], /current) p6 = plot(data6, layout=[2,3,6], /current)

Six plots, six calls to PLOT. LAYOUT uses a three-element array, [ncolumns, nrows, plot index], where plot index is one-based, to organize a multi-panel plot. The CURRENT keyword is needed on plots after the first so that PLOT knows to place the plot into the current window. For the details (the highpass filter!) of making the plot above, please see my example program.

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