Photogrammetry Statistics

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Photogrammetry Statistics 2023: Facts about Photogrammetry outlines the context of what’s happening in the tech world.

LLCBuddy editorial team did hours of research, collected all important statistics on Photogrammetry, and shared those on this page. Our editorial team proofread these to make the data as accurate as possible. We believe you don’t need to check any other resources on the web for the same. You should get everything here only 🙂

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Top Photogrammetry Statistics 2023

☰ Use “CTRL+F” to quickly find statistics. There are total 12 Photogrammetry Statistics on this page 🙂

Photogrammetry “Latest” Statistics

  • Photos taken in a sequence should overlap by at least 60% – if there is meager overlap, the model will not develop correctly or at all.[1]
  • Four points representing 17.4% of the H-dataset data in the DAM slope were deleted from the total of 23 points utilized for validation.[2]
  • From 2020 to 2030, the employment of cartographers and photogrammetrists is anticipated to increase by 5%, which is a slower rate than the national average for all professions.[2]
  • The kinetic energy of the fragments is comprised of 12% –24% of the absorbed energy, and the fraction climbs as the strain rate increases.[2]
  • The slope was greater than 40% and the checkpoints placed in the model’s border occurred at low precision due to the interpolation methods during the photogrammetric reconstruction.[2]
  • Camera positions are assessed by matching related features in pairs of images involving 60% to 80% of scene overlap and less than 30º between the images.[2]
  • From 2021 to 2031, the employment of cartographers and photogrammetrists is anticipated to increase by 3%, albeit more slowly than the average for all professions.[3]
  • SfM has significant promise for forest mapping in underdeveloped nations since more than half of the world’s forest-covered regions have a canopy cover of 50%.[4]
  • Given a confidence level of 5% and 22 degrees of freedom, the findings suggest that there is a trend in the E-N discrepancies, suggesting systemic mistakes that may be investigated further using circular statistic approaches.[5]
  • Due to the interpolation techniques used during the photogrammetric reconstruction, the slope was larger than 40%, and the checkpoints situated in the model’s boundary produced poor accuracy.[5]
  • With at least 90% confidence and 22 degrees of freedom, the ortho mosaic fit in Class D on a scale of 1:2,000 and in Class B on a scale of 1:5000.[5]
  • Accuracy-checking standards presume that at least 90% of the data goes down within a range of the mean plus two times the standard deviation.[5]

Also Read

How Useful is Photogrammetry

One of the key appeals of photogrammetry is its ability to capture detailed and accurate three-dimensional information about objects or landscapes without the need for physical contact. This makes it an invaluable tool for a wide range of industries, from construction and engineering to archaeology and environmental monitoring.

In the realm of construction, for example, photogrammetry can be used to create precise 3D models of building sites, allowing architects and engineers to plan and design structures with pinpoint accuracy. This can help to streamline the construction process and reduce costs, as well as minimize the risk of errors or rework down the line.

In the field of archaeology, photogrammetry has revolutionized the way researchers document and study ancient sites and artifacts. By combining high-resolution imagery with specialized software, archaeologists can create virtual reconstructions of historical sites, which can be explored and analyzed in ways that would be impossible with traditional methods alone.

Photogrammetry is also proving to be a game-changer for environmental monitoring and conservation efforts. By using drones equipped with high-resolution cameras, scientists and conservationists can survey large areas of land quickly and accurately, monitoring changes in vegetation, wildlife populations, and habitat conditions over time. This data can then be used to inform conservation strategies and track the effectiveness of conservation efforts.

In addition to its practical applications, photogrammetry also has a profound impact on our ability to preserve cultural heritage. By creating detailed 3D models of historical monuments, sculptures, and artifacts, researchers can virtually preserve these objects for future generations, ensuring that they are not lost to time or decay.

While the benefits of photogrammetry are clear, it is important to acknowledge that the technology is not without its challenges. One common concern is the potential for inaccuracies in the data collected, which can occur due to factors such as lighting conditions, camera calibration, and distortion in the images. As such, it is crucial for users of photogrammetry to undergo proper training and adhere to best practices to ensure the highest level of accuracy and reliability in their work.

Another consideration is the issue of data privacy and security, particularly in cases where photogrammetry is used for surveying or mapping of private properties. As with any technology that involves the collection of sensitive information, it is essential for users to follow ethical guidelines and legal regulations to protect the privacy and rights of individuals.

Overall, photogrammetry is a powerful tool with immense potential to transform the way we interact with and understand the world around us. As technology continues to evolve and improve, we can expect to see even more innovative applications of photogrammetry across a wide range of industries and disciplines, ultimately leading to more efficient, sustainable, and informed decision-making processes.


  1. wiley –
  2. webinarcare –
  3. bls –
  4. mdpi –
  5. tandfonline –

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