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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!



Monitoring Illegal Mining in the Amazon: Turning Persistent Data Into Actionable Insight

Monitoring Illegal Mining in the Amazon: Turning Persistent Data Into Actionable Insight

5/28/2026

Illegal mining over decades has constituted one of the most persistent and complex socio-environmental problems in the Brazilian Amazon. In recent years, with the increasingly intensive use of mechanized extraction, the associated environmental impacts—such as deforestation, intense soil disturbance, river siltation, and mercury... Read More >

From Answers to Action: Why ENVI and IDL Agents Go Beyond General AI

From Answers to Action: Why ENVI and IDL Agents Go Beyond General AI

4/20/2026

As generative AI tools like Claude and Gemini continue to gain traction, many organizations are asking the same question: Can general purpose AI actually support real geospatial workflows, or does it stop at surface-level answers? That question was front and center in our recent webinar, Meet Your New Partners in Science: ENVI... Read More >

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 >

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Hash syntax for accessing children in (New) Graphics

Anonym
A useful feature of (New) Graphics (NG) is the ability to access a component of a visualization by name using hash syntax. This behavior is derived from the GetByName method implemented by most container classes in Object Graphics. For example, here I have a window that holds a plot of a Bessel J function:
x = findgen(100)/5
y = beselj(x)
w = window()
p = plot(x, y, color='red', name='bessel_j0', /current)
Note that I gave the plot a name. (The default name of a plot is ‘Plot’, or if more than one plot is present in a window, ‘Plot n’, where n = 1,2,3,…; likewise, ‘Surface’ for a surface, ‘Image’ for an image, etc.) Now discard the reference to the plot (maybe, e.g., it fell out of scope):
p = !null
So I now can’t access the properties of the plot. Or can I?! Retrieve the reference to the plot, by its name, from the window using hash syntax:
q = w['bessel_j0']
and use the recovered reference to change the color of the plot:
q.color = 'green'
Neat! I use this feature of NG frequently, especially to get access to the axes of a plot, post-creation. For example, to hide the top and right axes of the plot above, try:
q['axis2'].hide = 1
q['axis3'].hide = 1
In NG, axes are numbered starting at zero with the bottom axis and increasing clockwise (the left axis is index 1, etc.). In a subsequent post, I’ll talk about the very handy GETWINDOWS function for when you don’t have a reference to the window object holding a visualization.
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