GETSI Teaching Materials >Analyzing High Resolution Topography with TLS and SfM > Unit 1-SfM: Introduction to SfM
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This module is part of a growing collection of classroom-tested materials developed by GETSI. The materials engage students in understanding the earth system as it intertwines with key societal issues. The collection is freely available and ready to be adapted by undergraduate educators across a range of courses including: general education or majors courses in Earth-focused disciplines such as geoscience or environmental science, social science, engineering, and other sciences, as well as courses for interdisciplinary programs.
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Unit 1-SfM: Introduction to SfM

Kate Shervais (UNAVCO)
Bruce Douglas (Indiana University)
Chris Crosby (UNAVCO)

This material was developed and reviewed through the GETSI curricular materials development process. This rigorous, structured process includes:

  • team-based development to ensure materials are appropriate across multiple educational settings.
  • multiple iterative reviews and feedback cycles through the course of material development with input to the authoring team from both project editors and an external assessment team.
  • real in-class or field camp/course testing of materials in multiple courses with external review of student assessment data.
  • multiple reviews to ensure the materials meet the GETSI materials rubric which codifies best practices in curricular development, student assessment and pedagogic techniques.
  • created or reviewed by content experts for accuracy of the science content.


This page first made public: Nov 8, 2016

Summary

This unit introduces students to Structure from Motion (SfM). SfM is a photogrammetric technique that uses overlapping images to construct a 3D model of the scene and has widespread research applications in geodesy, geomorphology, structural geology, and other subfields of geology. SfM can be collected from a hand-held camera or an airborne platform such as an aircraft, tethered balloon, kite, or UAS (unmanned aerial system). After an introduction to the basics of SfM, students will design and conduct their own survey of a geologic feature, followed by an optional (but highly encouraged) introductory exploration of SfM data after returning from the field.

Learning Goals

Unit 1-SfM Learning Outcomes

Students are able to:

  • Design and conduct a simple SfM survey including:
    • Make necessary calculations to determine the optimal survey parameters and survey design based on site and available time
    • List the individual survey steps (workflow)
    • List the equipment needed for a survey
    • Make supporting field notes such as outcrop sketches, strike/dip measurements, and observations of outcrop conditions
  • Process photographs taken in the field to generate a three-dimensional model of a geologic feature.
    Supports Module Goal 1; Earth Science Big Ideas ESBI-1: Earth scientists use repeatable observations and testable ideas to understand and explain our planet. (link opens in new window)

Unit 1-SfM Teaching Objectives

  • Cognitive: Facilitate design and implement an SfM survey
  • Behavioral: Promote student ability collecting SfM data using one or more platforms (ex., balloon, pole, UAS), set up related equipment (ex., targets and GPS), and make supporting field observations.

Context for Use

The content in Unit 1-SfM was designed for upper-level geoscience majors in a field geology course. The material works well for a group of approximately twenty (or fewer) students with an instructor and teaching assistant/s. If teaching a larger group of students, this can be scaled up with more survey setups, such as multiple handheld cameras or a combination of survey platforms. Fewer students in the course allows students more hands-on time operating the collection platform. If there are more than fifteen students, consider using two locations and two collection platforms, to enable all students to be involved in the data collection process. Concurrently doing Unit 1-SfM with Unit 1-TLS is another way to keep a larger group of students occupied. This content may also be modified to work in a classroom setting as a lecture (introduction to SfM) and lab (conducting a small survey of a feature, geologic or something available on campus). SfM requires a several hours to a day for post-collection processing before data exploration is possible, so it adapts well to interleaving with other activities or to an academic-year course. Canned data is also available if a collection platform or appropriate outcrop is unavailable. The unit may also be adapted to a one-day field trip for a geomorphology, structural geology, geophysics, remote sensing/GIS, or field methods class. Student experience with field observations, field maps, and trigonometry, in addition to other basic calculation skills is expected. In a field course, this unit is ideally situated mid-way through the course, as students will already have some field experience. As this is the introductory unit for the module, it pairs well with any of subsequent units. It is expected that most instructors will not use all the module's units, but combine Unit 1-SfM with 1–2 intermediate units and Unit 5 (Summative Assessment) and perhaps even Unit 1-TLS.

Description and Teaching Materials

1) Classroom introduction

This unit begins in a classroom setting, with a lecture presentation followed by the distribution of the SfM manuals and assignment packets. The lecture includes background on why geodetic surveying techniques are used in the earth sciences, and how SfM works. Similar material is provided in the manual. This segment should be brief (thirty minutes to one hour) to allow time for SfM surveying in the field. If possible, have another instructor photograph a small portion of the classroom while giving the first lecture so students can view the data. Roughly fifteen photos is ideal, as this number allows for quick data processing to generate a model of part of the room. These photos may be collected and processed prior to the lecture, to ensure the model is done processing. Take a break between the two presentations to show the students the equipment and have them practice setting up targets to break up the lecture time. Inventory the equipment to ensure that all necessary components are present; while this is happening, students may fill out the blank equipment list in their assignment packets. Students should bring all typical field equipment with them (writing utensils, straight edge/ruler, field notebook, AND calculator*).

*a calculator is essential to complete their work!

2) Field deployment and platform/survey overview

Introduce the field site, facilitating student discussion to determine the project objectives. Then introduce the platform and field techniques. This includes how to set up the platform of choice, the photo collection method (i.e., continuous video, automatic timer for photos, or remote controlled [the last two are recommended]), and the targets, as well as identifying the feature/s of geologic interest to be surveyed. Design the survey as a group, soliciting student input for the location of targets, GPS, and camera locations/collection path.

Note: GPS is not necessary for all surveys; scale bars or referencing an ALS or TLS point cloud of the same area for ground control points may be appropriate for the feature you are surveying. Refer to the SfM Guide for Instructors and Investigators to determine which methodology of scaling the data is appropriate for the feature of interest.

3) Conducting the survey

Students can be broken into teams of three to five people to set up the targets and GPS. The steps for conducting the survey vary based on the platform used for collecting photographs. After this, determine which students will be collecting which section of photographs. If just using a handheld camera or pole platform (ex., to collect data of a road cut or a planar outcrop with low dip), the camera locations should be planned by the group and a few photographers selected to photograph small sections. If using a balloon, use a two-pilot setup so pairs of students may rotate in. If using an Unmanned Aircraft System (UAS), rotate between students to pilot the device.* Aerial platforms should be used for larger-scale features, while pole platforms and handheld cameras can be used for outcrop-scale features. More students will be able to actively participate in the surveying process either: (A) using aerial platforms because a greater area will be covered (allowing for more pilot swaps) with the same number of photos or (B) using a number of handheld cameras, so all students may photograph. Students who are not collecting photographs should review their SfM Field Methods Manual and SfM Data Processing and Exploration Manual, work on assignments in their assignment packet (equipment list, workflow, worksheet, etc), collect metadata about the photo collection process (ex., sketch of target setup and planned camera locations/collection path, photo numbers) and typical field observations of the feature of interest. Plan a full afternoon for this portion to allow time for students to get individual time photographing. The processing time is directly dependent on the number of photos taken and the computer hardware used, so aim to collect roughly 100 to 150 photos to be able to generate a model overnight. However, it is useful to have extra photographs in case some are blurry. Have students measure three features on the outcrop (large clast, offset between stratigraphic units due to faulting, bed thickness, distance between two large trees are a few examples) that are clearly identifiable so they can later be compared to measurements made on the data set in the software.

*UAS regulations depend on location, as towns, cities, counties, and states have differing laws. Check local, state, and federal laws as well as university regulations for faculty UAS use prior to using a UAS to collect data for this module.

4) Creating the SfM Model

The field data collection portion of an SfM research project is a small component of the complete workflow. This step can be completed by individuals, pairs, or groups of students, as well as completed by an instructor with no student presence. As soon as field data collection has finished, use SfM software (the student exercise shows how to use Agisoft, but many other open-source options are available; see SfM Guide) to generate the 3D model of the field site. This could take eight to twelve hours, depending on the number and resolution of photos used as input. Make sure to georeference the model no matter the chosen workflow; this is necessary in order to measure features within the model. It is possible to load camera GPS data into Agisoft to speed up the model-generation process, specifically the first step of aligning photos. However, this data should be supplemented with ground control points from the GPS setup prior to surveying to achieve TLS-level accuracy.

5) SfM Data Exploration

This portion is optional but strongly encouraged, as students will need to be familiar with the software for subsequent units. If possible, the students should work with the data individually to maximize time with the software, but students may also work in pairs or in teams if computers are limited. The SfM Data Processing and Exploration Manual should be distributed to guide student work. Also attach a computer to a projector so students can follow the data exploration process as the instructor walks through the steps on their own machine.

Students should answer two reflective questions in their final write-up. One will cover the societal impetus/importance of using SfM to answer their research question of the day, and the other is a metacognition question so students can reflect on what they learned, an important aspect of the learning process. Another question you may have students answer is: What was rewarding and what was challenging about this exercise?

Teaching materials:

  • SfM Field Methods Manual for Students (Microsoft Word 2007 (.docx) 6.7MB Oct31 16)
    • Includes SfM functions, considerations for survey design, and scanner specs
  • SfM Data Processing and Exploration Manual (Agisoft Photoscan software) (Microsoft Word 2007 (.docx) 14.3MB Sep22 16)
    • General guide to using the software for data exploration and some processing. Agisoft Photoscan Pro was selected because at the time of writing, the majority of geoscientists seemed to be using it for SfM processing. Thirty-day fully-functional trial licenses have worked well for students to use on short-tern assignments on their own computers. If you wish to use it repeatedly yourself or have it on laboratory computers, licenses may need to be purchased. This manual also applies to Units 2-5.
    • Agisoft PhotoScan website
    • Other SfM processing software options are available and are outlined in SfM Guide for Instructors and Investigators (Microsoft Word 2007 (.docx) 8.8MB Oct31 16). Visual SfM written by another is below.
    • SfM - Agisoft Photoscan Pro tutorial (MP4 Video 21.8MB Mar8 17) This video is another potentially helpful introduction to Agisoft.
  • Unit 1-SfM Student Exercise (Microsoft Word 2007 (.docx) 197kB May11 17)
    • Includes unit schedule, assignment sheet, blank equipment list, sketch page, notes page, and worksheet.
  • Unit 1-SfM Student Exercise - calculations worksheet answerkey


    This file is only accessible to verified educators. If you are a teacher or faculty member and would like access to this file please enter your email address to be verified as belonging to an educator.

    • Spreadsheet of example answers for the SfM calculations worksheet part of the Student Exercise.
  • Visual SfM Tutorial (Acrobat (PDF) 3.4MB Apr5 16)
    • Visual SfM is an open-source software used for Structure from Motion. Our materials are based on using Agisoft Photoscan Pro, a commercial software. We provide this tutorial as an alternative to adapt for your students if Agisoft is not available for use.
  • Prepared data set This includes a data set and contextualization information to provide to students if field work is not possible.

Teaching Notes and Tips

General advice on making the module work in field courses can be found on the module Overview page.

GPS usage

We highly recommend that high-precision GPS is used at specific target locations so the model has ground control points. This has been shown to help generate a more accurate model, comparable to the results produced by TLS. However, if GPS is not available, the GPS locations associated with each photo will work well enough to produce a less-accurate model. In addition, you may use scale bars to integrate scale into your model.

Feature to survey

If teaching this unit/module in a classroom setting or on campus, try to choose an object/feature to survey that is similar to a geologic outcrop or feature. It is quite difficult to accurately survey statues, trees, or any other feature that requires 360° of data, and these should not be used as a feature in the introductory unit.

Field notes

Although the structure of this unit differs from a usual day in a field geology program, remind students that the skills they learned in their previous weeks of the course (specifically, recording observations of the geologic feature of interest) should still be used in addition to the SfM survey. Metadata are an important aspect of survey design, as it is essential to keep good notes on the survey to ensure trouble-free processing and accurate interpretation of the data.

Keeping students occupied

One of the challenges of integrating SfM into a course with more than a few students is making sure that students stay engaged and mentally challenged even while they are waiting for their chance to participate in the data collection process. Students should also be encouraged to measure various clear features of the scanned area to ensure they can complete the data exploration portion of their assignment. Breaking students into small groups and conducting multiple surveys if multiples cameras and associated platforms are available is one good way to cut down on the amount of student free time.

A worksheet has been provided for students to calculate the area of their photos to determine the number of photos needed for a survey. The worksheet requires some knowledge about the camera used: the focal length, sensor dimensions (width and height), the aspect ratio of the photographs, and the effective megapixels of the camera. These variables may not be listed in the manual for the camera, but can be easily found using an Internet search.

If there is time prior to taking students in the field, have them find the feature of interest on Google Earth. This way, they can measure the scale of the feature and then use that measurement on the worksheet as well.

Adapting based on available computers

Part 5 of the unit (optional, but strongly encouraged) is designed for students to work on data visualization on individual machines. This section of the unit can be modified based on resources available. If no student computers are available, we encourage the instructor to project their screen and walk through the data exploration with students.

Adapting based on available software

The software used for Parts 4 and 5 of the unit is called Agisoft Photoscan Pro. This software is $549 per educational license (www.agisoft.com; price valid as of March 2016). The SfM Data Processing and Exploration Manual is written to guide students through using this software. However, there are many commercial and open-source alternatives. Of the commercial platforms, Agisoft is recommended for the ideal feature-to-price ratio. Open-source options include VisualSFM, a GUI similar to Agisoft, recommended for its ease of use and integration of many open-source SfM algorithms. A guide to VisualSFM written by Colorado State University graduate students is available as a PDF in the module materials.

Assessment

Formative

Much of the formative assessment can be done through observations of and discussions with students individually, in pairs, or periodically in the whole group. Students can also hand in their work from the field, including field notes (atmospheric conditions, metadata) and sketch of survey setup. The work for formative assessment could be graded based on completion.

Summative

Summative assessment for Unit 1-SfM is based on the completed student exercise, which includes their workflow document, a summary of their metadata, details of the data collection, and results of initial data exploration. An assessment rubric is included in the student exercise. Summative assessment for the module as a whole will be evaluated at the end of the module in Unit 5. If the instructor is only planning to do Unit 1-TLS and then jump to Unit 5, the summative assessment we recommend that you choose from are "geologic outcrop with visible faulting," "channel sands," "dinosaur footprints," or other simple field site.

References and Resources

Consult these resources if additional information beyond the SfM Guide for Instructors (included in the unit materials) is needed.

General resources on SfM algorithms

  • Lowe, D.G., (2004) Distinctive Image Features from Scale-Invariant Keypoints: International Journal of Computer Vision, 60 (2), 91-110, doi: 10.1023/B:VISI.0000029664.99615.94. This paper is the explanation of the algorithm that powers SfM software.
  • Snavely, N., Seitz., S.M., and Szeliski, R., (2008) Modeling the World from Internet Photo Collections: International Journal of Computer Vision, 80 (2), 189-210, doi: 10.1007/s11263-007-0107-3. This paper was one of the first to implement the Lowe algorithm in easy-to-use software to generate large sparse point clouds of features like the Coliseum.
  • Ullman, S., (1979) The Interpretation of Structure from Motion: Proceedings of the Royal Society of London, Biological Sciences, 203 (1153), 405-426, doi: 10.1098/rspb.1979.0006. The original paper on SfM.

General resources on SfM in practice

Many more resources than those listed below exist for examples of using SfM for a range of geoscience applications. A more exhaustive list is included in the SfM Guide for Instructors. However, new papers are appearing rapidly on the applicability of SfM, so a search is necessary to include all up-to-date research.

  • Canon Hack Development Kit directions (Microsoft Word 2007 (.docx) 84kB Jun1 17) It is possible to load software onto camera memory cards so Canon Point&Shoot cameras (not DSLR) can be controlled in ways more helpful for doing SfM surveys. Canon Hack Development Kit is a unique software application developed by enthusiasts that enables extra features for ported Canon™ "Point&Shoot" cameras (not DSLR). This file provides a few extra details to clarify how to Canon Hack Development Kit.
  • Bemis, S.P., Micklethwaite, S., Turner, D., James, M.R., Akciz, S., Thiele, S.T., and Bangash, H.A., (2014) Ground-based and UAV-based Photogrammetry: A Multi-scale, High-resolution Mapping Tool for Structural Geology and Paleioseismology, Journal of Structural Geology, 69, 163-178, doi: 10.1016/j.jsg.2014.10.007. Applications of SfM for structural geology as well as paleoseismology. This paper is a review paper and is a useful resource to demonstrate non-geomorphological applications of SfM.
  • Dietrich, J.T., (2016) Riverscape Mapping with Helicopter-based Structure from Motion Photogrammetry, Geomorphology, 252, 144-157, doi: 10.1016/j.geomorph.2015.05.008. This researcher uses SfM frequently in their work. Go to his website (http://adv-geo-research.blogspot.com/)for useful tips on using SfM.
  • James, M.R., and Robson, S., (2014) Mitigating Systematic Error in Topographic Models Derived from UAV and Ground-based Image Networks, Earth Surface Processes and Landforms, 39, 1413-1420, doi: 10.1002/esp.3609. One of the drawbacks of SfM is the lack of resources on testing model veracity. This paper shows the importance of camera location to model veracity.
  • Johnson, K., Nissen, E., Saripalli, S., Arrowsmith, J.R., McGarey, P., Scharer, K., Williams, P., and Blisnik, K., (2014) Rapid Mapping of Ultrafine Fault Zone Topography with Structure from Motion: Geosphere, 10 (5), 969-986, doi:10.1130/GES01017.1. A comparison of differing software workflows for SfM as well as applications of SfM to active tectonics research.
  • Reitman, N.G., Bennett, S.E.K., Gold, R.D., Briggs, R.W., and DuRoss, C.B., (2015) High-resolution Trench Photomosaics from Image-based Modeling: Workflow and Error Analysis: Bulletin of the Seismological Society of America, 105 (5), 2354-2366, doi: 10.1785/0120150041. Reitman et al. show the importance of ground control points in the model generation process. This paper also outlines an SfM workflow, which may be a useful resource.
  • Additional recent published research: Reference list for research papers using SfM (Microsoft Word 2007 (.docx) 178kB Jul18 16)


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This module is part of a growing collection of classroom-tested materials developed by GETSI. The materials engage students in understanding the earth system as it intertwines with key societal issues. The collection is freely available and ready to be adapted by undergraduate educators across a range of courses including: general education or majors courses in Earth-focused disciplines such as geoscience or environmental science, social science, engineering, and other sciences, as well as courses for interdisciplinary programs.
Explore the Collection »