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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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Displaying exploded axes with (New) Graphics

Anonym

Here’s another hacktastic example for your enjoyment: displaying exploded axes in a (New) Graphics plot. Start by making a plot with axis labels and ticks that point outward, and include some extra room around the margins:

 p = plot(/test, margin=0.2, xtickdir=1, ytickdir=1)

Next, get the x- and y-axis ranges:

 xr = max(p.xrange, min=min_x) – min_x yr = max(p.yrange, min=min_y) – min_y

Last, nudge the four axes of the plot outward from their default locations by some fraction of the x- or y-axis range. There are three pieces of information I’ll use for this:

  1. Recall that children of a NG plot can be referenced with a hash syntax.
  2. Plot axes are indexed: 0=bottom, 1=left, 2=top, 3=right, and they have default NAME properties that reflect this.
  3. The location of each axis can be set by its LOCATION property, which uses data coordinates.

Here’s the code:

 frac = 0.05 ; tunable parameter p['axis0'].location -= [0.0, frac*yr, 0.0] p['axis1'].location -= [frac*xr, 0.0, 0.0] p['axis2'].location += [0.0, frac*yr, 0.0] p['axis3'].location += [frac*xr, 0.0, 0.0]

Note that adding x- and y-axis titles to this plot will work as expected, but a plot title should be created and placed with TEXT:

 p.xtitle = 'Time' p.ytitle = 'Amplitude' t = text(0.5, 0.9, 'Damped Oscillator', alignment='center')

Here’s a screenshot of the result from the Windows side of my laptop: An example of exploded axes in NG

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