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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!



Easily Share Workflows With the Analytics Repository

Easily Share Workflows With the Analytics Repository

10/27/2025

With the recent release of ENVI® 6.2 and the Analytics Repository, it’s now easier than ever to create and share image processing workflows across your organization. With that in mind, we wrote this blog to: Introduce the Analytics Repository Describe how you can use ENVI’s interactive workflows to... Read More >

Deploy, Share, Repeat: AI Meets the Analytics Repository

Deploy, Share, Repeat: AI Meets the Analytics Repository

10/13/2025

The upcoming release of ENVI® Deep Learning 4.0 makes it easier than ever to import, deploy, and share AI models, including industry-standard ONNX models, using the integrated Analytics Repository. Whether you're building deep learning models in PyTorch, TensorFlow, or using ENVI’s native model creation tools, ENVI... Read More >

Blazing a trail: SaraniaSat-led Team Shapes the Future of Space-Based Analytics

Blazing a trail: SaraniaSat-led Team Shapes the Future of Space-Based Analytics

10/13/2025

On July 24, 2025, a unique international partnership of SaraniaSat, NV5 Geospatial Software, BruhnBruhn Innovation (BBI), Netnod, and Hewlett Packard Enterprise (HPE) achieved something unprecedented: a true demonstration of cloud-native computing onboard the International Space Station (ISS) (Fig. 1). Figure 1. Hewlett... Read More >

NV5 at ESA’s Living Planet Symposium 2025

NV5 at ESA’s Living Planet Symposium 2025

9/16/2025

We recently presented three cutting-edge research posters at the ESA Living Planet Symposium 2025 in Vienna, showcasing how NV5 technology and the ENVI® Ecosystem support innovation across ocean monitoring, mineral exploration, and disaster management. Explore each topic below and access the full posters to learn... Read More >

Monitor, Measure & Mitigate: Integrated Solutions for Geohazard Risk

Monitor, Measure & Mitigate: Integrated Solutions for Geohazard Risk

9/8/2025

Geohazards such as slope instability, erosion, settlement, or seepage pose ongoing risks to critical infrastructure. Roads, railways, pipelines, and utility corridors are especially vulnerable to these natural and human-influenced processes, which can evolve silently until sudden failure occurs. Traditional ground surveys provide only periodic... 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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