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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!



Not All Supernovae Are Created Equal: Rethinking the Universe’s Measuring Tools

Not All Supernovae Are Created Equal: Rethinking the Universe’s Measuring Tools

6/3/2025

Rethinking the Reliability of Type 1a Supernovae   How do astronomers measure the universe? It all starts with distance. From gauging the size of a galaxy to calculating how fast the universe is expanding, measuring cosmic distances is essential to understanding everything in the sky. For nearby stars, astronomers use... Read More >

Using LLMs To Research Remote Sensing Software: Helpful, but Incomplete

Using LLMs To Research Remote Sensing Software: Helpful, but Incomplete

5/26/2025

Whether you’re new to remote sensing or a seasoned expert, there is no doubt that large language models (LLMs) like OpenAI’s ChatGPT or Google’s Gemini can be incredibly useful in many aspects of research. From exploring the electromagnetic spectrum to creating object detection models using the latest deep learning... Read More >

From Image to Insight: How GEOINT Automation Is Changing the Speed of Decision-Making

From Image to Insight: How GEOINT Automation Is Changing the Speed of Decision-Making

4/28/2025

When every second counts, the ability to process geospatial data rapidly and accurately isn’t just helpful, it’s critical. Geospatial Intelligence (GEOINT) has always played a pivotal role in defense, security, and disaster response. But in high-tempo operations, traditional workflows are no longer fast enough. Analysts are... Read More >

Thermal Infrared Echoes: Illuminating the Last Gasp of a Dying Star

Thermal Infrared Echoes: Illuminating the Last Gasp of a Dying Star

4/24/2025

This blog was written by Eli Dwek, Emeritus, NASA Goddard Space Flight Center, Greenbelt, MD and Research Fellow, Center for Astrophysics, Harvard & Smithsonian, Cambridge, MA. It is the fifth blog in a series showcasing our IDL® Fellows program which supports passionate retired IDL users who may need support to continue their work... Read More >

A New Era of Hyperspectral Imaging with ENVI® and Wyvern’s Open Data Program

A New Era of Hyperspectral Imaging with ENVI® and Wyvern’s Open Data Program

2/25/2025

This blog was written in collaboration with Adam O’Connor from Wyvern.   As hyperspectral imaging (HSI) continues to grow in importance, access to high-quality satellite data is key to unlocking new insights in environmental monitoring, agriculture, forestry, mining, security, energy infrastructure management, and more.... 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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