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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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Testing parameters with N_ELEMENTS and !null

Anonym

The N_ELEMENTS function is typically used to test whether an input parameter has data. For example, here's a program that doubles a number:

function double_it, x
   compile_opt idl2
   on_error, 2

   if n_elements(x) eq 0 then $
      message, 'Need input number to double.'

   return, x*2
end

N_ELEMENTS is used to test whether the user actually passed anything when calling DOUBLE_IT. If not, an error message is thrown:

IDL> a = double_it(4)
IDL> print, a
           8
IDL> b = double_it()
% DOUBLE_IT: Need input number to double.
% Execution halted at: $MAIN$

In IDL 8, we have the option of instead comparing parameters with the null variable!null. In DOUBLE_IT, this looks like:

function double_it, x
   compile_opt idl2
   on_error, 2

   if x eq !null then $
      message, 'Need input number to double.'

   return, x*2
end

Now, which is faster: using N_ELEMENTS or !null? Here's a simple test program:

pro test_nullparameter, param
   compile_opt idl2

   n_iter = 1e7

   t0 = systime(/seconds)
   for i=1, n_iter do a = n_elements(param) eq 0
   t1 = systime(/seconds)
   print, 'N_ELEMENTS:', t1-t0, format='(a15,f12.8,1x,"s")'

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

and here's a sample result from my laptop:

IDL> test_nullparameter
    N_ELEMENTS:  1.07800007 s
         !null:  0.84400010 s

It turns out that it's more efficient to compare against !null. The syntax is more compact, too. (Thanks to Jim Pendleton, who initially pointed out this to me.)

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