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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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Finding the next power of two

Anonym
Ron Kneusel emailed our internal PWUISATAI (People Who Use IDL Sitting Around Talking About IDL) group yesterday with a clever function he saw in some CUDA C code to calculate the next power of two greater than or equal to a given integer. His IDL translation:
function next_power_2, x
   compile_opt idl2, logical_predicate

   n = x - 1 ; protects input
   n = ishft(n, -1) or n
   n = ishft(n, -2) or n
   n = ishft(n, -4) or n
   n = ishft(n, -8) or n
   n = ishft(n,-16) or n
   n = ishft(n,-32) or n
   n = ishft(n,-64) or n

   return, ++n
end
Both ISHFT and the OR operator are used here to perform bitwise operations on the input integer. Here's an example of using NEXT_POWER_2:
IDL> a = 3565946L
IDL> b = next_power_2(a)
IDL> print, b
     4194304
IDL> factor, b

            22
 4194304 = 2
I've used Ray Sterner's FACTOR, a part of the IDL astrolib, to learn that 4194304 is 222. Atle Borsholm replied to the group with an alternate take:
function n2, x

   return, ishft(1ull,total(ishft(1ull,indgen(64)) lt x, /integer))
end
that gives the same result:
IDL> b = n2(a)
IDL> print, b
     4194304
Atle commented that although his version is shorter, Ron's may be faster. I was curious, so I made a simple time test:
pro time_test_next_power_2
   compile_opt idl2

   n_iter = 1e6
   x = 275259L

   t0 = systime(/seconds)
   for i=1, n_iter do !null = next_power_2(x)
   t1 = systime(/seconds)
   print, 'NEXT_POWER_2:', t1-t0, format='(a15,f12.8,1x,"s")'

   t0 = systime(/seconds)
   for i=1, n_iter do !null = n2(x)
   t1 = systime(/seconds)
   print, 'N2:', t1-t0, format='(a15,f12.8,1x,"s")'
end
and ran it on my laptop:
IDL> time_test_next_power_2
  NEXT_POWER_2: 2.14159489 s
            N2: 2.77271295 s
So, Ron's version is slightly faster. In either case, we hope you might find these functions handy! Update: An even simpler version from a zero-padding routine I'd written long ago:
IDL> a = 3565946L
IDL> b = 2UL^ceil(alog(a)/alog(2))
IDL> print, b
     4194304
Note: I'll be out on vacation for a bit, so I have some guest bloggers lined up for the next few weeks.
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