We may earn an affiliate commission when you visit our partners.

Photogrammetrist

Save
April 13, 2024 Updated April 22, 2025 17 minute read

Photogrammetrist: Mapping the World in 3D

Photogrammetry is the science and technology of obtaining reliable information about physical objects and the environment through the process of recording, measuring, and interpreting photographic images and patterns of electromagnetic radiant energy and other phenomena. At its core, a Photogrammetrist uses photographs, often taken from aircraft, drones, or ground-based cameras, to create detailed 3D models, maps, and measurements of the real world. Think of it as creating a highly accurate digital replica of a place or object using pictures as the primary source of data.

This field blends principles from optics, geometry, computing, and image analysis. Professionals in this role are responsible for planning data acquisition missions, processing the collected imagery using specialized software, analyzing the results, and producing deliverables like orthophotos (geometrically corrected aerial images), digital elevation models (DEMs), 3D point clouds, and detailed topographic maps. It's a career that requires both technical skill and a keen eye for detail.

Share

Help others find this career page by sharing it with your friends and followers:

Salaries for Photogrammetrist

City
Median
New York
$83,000
San Francisco
$130,000
Seattle
$148,000
See all salaries
City
Median
New York
$83,000
San Francisco
$130,000
Seattle
$148,000
Austin
$89,000
Toronto
$97,000
London
£55,000
Paris
€61,000
Berlin
€91,000
Tel Aviv
₪323,000
Singapore
S$92,000
Beijing
¥120,000
Shanghai
¥91,100
Shenzhen
¥528,000
Bengalaru
₹500,000
Delhi
₹482,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Photogrammetrist

Take the first step.
We've curated 16 courses to help you on your path to Photogrammetrist. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Reading list

We haven't picked any books for this reading list yet.
Provides a thorough treatment of multiple view geometry, which is essential for understanding camera calibration and 3D reconstruction. Suitable for advanced undergraduates and graduate students.
Provides a comprehensive overview of geometric camera calibration techniques. It is highly relevant to the topic of camera calibration, as it covers the latest techniques and algorithms used in this field.
Provides a comprehensive overview of camera models used in computer vision, including a chapter on camera calibration. It is highly relevant to the topic of camera calibration, as it provides a detailed discussion of the different camera models and the techniques used to calibrate them.
A comprehensive textbook on computer vision, including a chapter on camera calibration. Suitable for advanced undergraduates and graduate students.
Provides a comprehensive overview of camera and computer vision techniques in French. It includes a chapter on camera calibration, which is highly relevant to the topic of camera calibration.
Provides a comprehensive overview of digital image processing techniques, including a chapter on camera calibration. It is relevant to the topic of camera calibration, as it provides a practical introduction to the techniques used to calibrate cameras.
Covers image processing techniques, including those used in camera calibration. Suitable for undergraduate students.
Table of Contents
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser