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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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2.6

Making movies with IDL, part I

Anonym

Over the years there have been many ways to make movies with IDL, but none of them have been great. I think we now have a robust solution: the IDLffVideoWrite class, introduced in IDL 8.1, wraps FFmpeg, which can create a movie in just about any format. This week, I’ll show an example of using IDLffVideoWrite with Direct Graphics (DG). Next week, I’ll show how to make a similar movie with (New) Graphics (NG). This example is written as a procedure. Start the program by declaring some test data and setting up the IDLffVideoWrite object:

pro dg_movie_ex
   compile_opt idl2

   data = dist(30)

   video_file = 'dg_movie_ex.mp4'
   video = idlffvideowrite(video_file)
   framerate = 10
   framedims = [640,512]
   stream = video.addvideostream(framedims[0], framedims[1], framerate)

The variable video is an object, an instance of IDLffVideoWrite. I chose to make an MPEG-4 video file; see the IDL Help for other supported formats. We configure the dimensions and frame rate of the single video stream that this file holds (files can hold multiple video and audio streams) with the AddVideoStream method. Next, switch to the DG Z buffer device and configure it:

   loadct, 1
   set_plot, 'z', /copy
   device, set_resolution=framedims, set_pixel_depth=24, decomposed=0

We’ll need the Z buffer for hidden line removal in the visualization, but it’s also convenient because it allows us to render the frames of the movie offscreen. The next step is where we make and load frames into the movie file:

   nframes = 50
   for i=0, nframes-1 do begin
      shade_surf, data, charsize=2.0, az=(15 + i), /save
      contour, data, nlevels=10, /t3d, zval=i/float(nframes), /overplot
      xyouts, 0.5, 0.9, 'IDL Movie Example - DG', align=0.5, charsize=2, /normal
      timestamp = video.put(stream, tvrd(true=1))
   endfor

There’s quite a bit going on in this code block. On each iteration of the loop:

  1. SHADE_SURF displays data as a shaded surface and rotates the surface one degree about its z axis.
  2. CONTOUR visualizes data as a planar contour plot in the 3D coordinate system set up by SHADE_SURF. The contour plot is moved upward by a fraction of the total height of the surface.
  3. XYOUTS adds the title at the top of the visualization.
  4. TVRD takes a picture of the Z buffer. The picture is a pixel-interleaved RGB image, with dimensions 3 x 640 x 512.
  5. The Put method of IDLffVideoWrite loads this picture as a frame into the video stream.

End the program by closing the Z buffer, returning to the windowing device and destroying the video object:

   device, /close
   set_plot, strlowcase(!version.os_family) eq 'windows' ? 'win' : 'x'
   video.cleanup
   print, 'File "' + video_file + '" written to current directory.'
end

Click below to see the resulting video on the VIS YouTube channel. [youtube http://www.youtube.com/watch?v=e1zSoZWBx6E] Sweet! Update: Here's the second example.  

1 comments on article "Making movies with IDL, part I"

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Patrick Essien

This is very usefull

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