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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!



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 >

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How many frames are in a movie?

Anonym
In IDL 8.2.3, we introduced video read capabilities, though the IDLffVideoRead class and the READ_VIDEO function, to complement the video write capabilities available since IDL 8.1. I'm still new to using video as a data format, so I thought I'd post an example of something interesting that I learned recently. We've included a video of a coronal mass ejection viewed from NASA's SDO and SOHO spacecraft in the IDL distribution:
IDL> video_file = file_which('CME.mp4')
How many frames are in this video file? The answer isn't as simple I'd expected. Start with QUERY_VIDEO, which can return a structure of information about a video file:
IDL> !null = query_video(video_file, video_info)
IDL> print, video_info.num_frames
         574
There are 574 frames in the file. But wait, let's try to read the entire file into IDL with READ_VIDEO:
IDL> movie = read_video(video_file, /all)
IDL> help, movie
MOVIE           BYTE      = Array[3, 512, 288, 564]
READ_VIDEO returns frames as pixel-interleaved RGB images. So I guess there are only 564 frames in the file? Let's turn to the lower-level API exposed in IDLffVideoRead to check whether it provides different information. The GetStreams method gives information about the single video stream in the file:
IDL> v = idlffvideoread(video_file)
IDL> print, (v.getstreams()).count
         574
If you look at the source code for QUERY_VIDEO, you'll see that it uses this technique for returning the frame count. But what about iterating through the file, reading frame by frame, until the end is reached?  This code block:
   i = 0
   repeat begin
      data = v.getnext(type=t)
      ++i
   endrep until t eq -1
does so. The result:
IDL> print, --i
         564
OK, why are there two different values for the number of frames in the video file? I asked an engineer on the IDL team, Andrew Magill, who is far more knowledgeable about video than I am, about this. He offered a pair of possibilities:
It's possible FFmpeg doesn't actually know ahead of time how many frames there are. The number out of ::GetStreams might be an estimate based on video length, framerate, file size, etc. Or maybe there are actually 574 frames, but the last 9 can't be decoded.
Andrew also gave some technical details that I haven't included, and suggested that these may not be the only possibilities. Further, I thought his summary was enlightening:
Unfortunately, video technology is full of these little technical gotchas, and seems to be full of questions that can only be answered with "well, it depends".  FFmpeg can seem really inconsistent sometimes, but I think they've done a heroic job of making all these different standards work almost exactly the same.
I hope that through Andrew's work, and the power of FFmpeg, we can make video processing a straightforward task in IDL. I'll post other examples of working with video as I learn more about it!
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