X

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!



New ENVI Agent, IDL Agent, and GeoAgent Quick Guides

New ENVI Agent, IDL Agent, and GeoAgent Quick Guides

6/9/2026

The recent release of ENVI® Agent, IDL® Agent, and GeoAgent™ revolutionize how users interact with geospatial software. These agentic AI applications act as partners to plan, simplify, and execute complex workflows. Knowing where to start can be challenging for new users. To this end, we developed three new quick guides to... Read More >

Introducing NISAR Data Support

Introducing NISAR Data Support

6/5/2026

The release of ENVI® SARscape 6.3 in April 2026 includes preliminary support for NASA-ISRO SAR (NISAR) data. The NISAR mission is a joint Earth-observing satellite project between NASA and the Indian Space Research Organization designed to monitor changes in the planet’s land and ice surfaces using advanced radar imaging. It... Read More >

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 >

1345678910Last
«June 2026»
SunMonTueWedThuFriSat
31123456
78910111213
14151617181920
21222324252627
2829301234
567891011
20024 Rate this article:
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"

Avatar image

Patrick Essien

This is very usefull

Please login or register to post comments.