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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!



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 >

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 >

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Using IDL_IDLBridge to run multiple processes in parallel

Anonym

I noticed a question on the newsgroup about running multiple time consuming IDL commands in parallel processes. This is a topic that we in the Custom Solutions group come accross fairly frequently. Below is a simple example of how to manage a number of processes running at the same time.

Notice in the code, that it is often important to control the working directory as well as the search path for all of the bridge processes so that the bridge processes can find the necessary IDL code as well as any data needed.

pro multi_process
  compile_opt idl2, logical_predicate
 
  cd, current=dir
 
  n_proc = 10
 
  tlb = widget_base(title='Initializing',/column, xsize=500, ysize=500)
  t = widget_text(tlb, value='Initializing...')
  widget_control, tlb, /realize
 
 
  br = objarr(n_proc)
  for i=0, n_proc-1 do begin
    br[i] = IDL_IDLbridge()
    br[i]->SetVar,'dir',dir
    br[i]->Execute,'cd,dir'
    br[i]->SetVar,'!path',!path
    br[i]->Execute,'wait,50*randomu(seed)',/nowait
  endfor
 
  widget_control, tlb, /destroy
  tlb = widget_base(title='Processing progress',/column)
  t = widget_table(tlb, xsize=2, ysize=n_proc, value=strarr(2,n_proc), $
    column_labels=['Process #','Status'], column_width=[250,250])
  widget_control, tlb, /realize
 
  ; Monitor progress
  status = replicate(1, n_proc)
  table = strarr(2,n_proc)
  table[0,*] = strtrim(indgen(n_proc),2)
  codes = ['Idle','Executing','Completed','Error','Aborted']
  while max(status) gt 0 do begin
    wait, 1
    for i=0, n_proc-1 do begin
      status[i] = br[i]->Status()
    endfor
    table[1,*] = codes[status]
    widget_control, t, set_value=table
  endwhile
  widget_control, tlb, /destroy
end

This code example will display a simple GUI showing the status of the IDL processes.

This is a great approach if you want to speed up some time consuming IDL processes that can run individually on the same system. In more complex situations, you want to instead look into ENVI Services Engine as it provides much more functionality for configuring how "jobs" are being run, and also supports distributing jobs over multiple systems (nodes). Despite the word "ENVI" here, it also supports running pure IDL code.

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