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    Overview

    Integration of point-cloud mapping technologies, on land and at sea, including lidar,photogrammetry, and multibeam acoustic sensing. Practical applications and skills for collecting, processing, analysing and delivering high-resolution survey data.

    Brings together photogrammetry/structure-from-motion, lidar, multi-beam-echo-sounding as leading 3D technologies for high-resolution surveys at land and at sea. Provides practical applications and skills for collecting, processing and analysing point-clouds and delivering high-resolution survey data. 

    About this paper

    Paper title 3D Reality Capture
    Subject Surveying
    EFTS 0.1334
    Points 18 points
    Teaching period Semester 1 (On campus)
    Domestic Tuition Fees ( NZD ) $1,278.51
    International Tuition Fees Tuition Fees for international students are elsewhere on this website.
    Prerequisite
    216 points
    Restriction
    SURV 514
    Schedule C
    Science
    Eligibility

    Particularly essential for graduates and professionals with a background in surveying. It is also suitable for graduates and professionals in geography, geology, and related disciplines who are interested in modern geospatial sciences and wish to work with advanced 3D reality capture technologies.

    Contact

    pascal.sirguey@otago.ac.nz

    Teaching staff

    Convener: Pascal Sirguey

    Lecturers: Pascal Sirguey, Emily Tidey, Richard Hemi

    Support: Kelly Gragg

    Paper Structure

    The paper covers three key 3D reality capture technologies:

    1. Photogrammetry and Structure-from-Motion.

    2. Lidar/laser scanning. 

    3. Multi-Beam Echo Sounding.

    Teaching Arrangements

    Weekly lectures and practical work in computer laboratory. Also includes a site visit and fieldwork. Attendance at labs and fieldwork is compulsory.

    Textbooks

    Recommended: 

    Wolf, P. R., Dewitt, B. A. and Wilkinson, B. E. (2014), Elements of Photogrammetry with Application in GIS, McGraw-Hill Education, New York. (https://otago.primo.exlibrisgroup.com/permalink/64OTAGO_INST/qef3lj/alma9924710053601891)  

    Jie Shan and Charles K. Toth, ed.,  (2018), Topographic Laser Ranging and Scanning: Principles and Processing, CRC Press. (https://doi-org.ezproxy.otago.ac.nz/10.1201/9781315154381)

    Vosselman, G. and Maas, H. (2010), Airborne and Terrestrial Laser Scanning., Whittles Publishing, Dunbeath. Available Online (https://otago.primo.exlibrisgroup.com/permalink/64OTAGO_INST/qef3lj/alma9925700226201891)  

    Wu, Z., Yang, F. and Tang, Y. (2021), High-resolution seafloor survey and applications, Springer, Singapore. Available Online (https://otago.primo.exlibrisgroup.com/permalink/64OTAGO_INST/qef3lj/alma9925763776901891)

    Lemmens, M. (2023), Introduction to Pointcloudmetry, Whittles Publishing.

    Graduate Attributes Emphasised
    Global perspective, Interdisciplinary perspective, Lifelong learning, Scholarship, Communication, Critical thinking, Environmental literacy, Information literacy, Self-motivation.
    View more information about Otago's graduate attributes.
    Learning Outcomes

    Students will gain a deep understanding of the theories and techniques behind photogrammetry, lidar, and multi-beam echo sounding. They will develop practical skills in data collection and processing for creating topographic surfaces and related products, while mastering modern tools for point cloud analysis. Students will apply mathematical and geospatial principles to evaluate and integrate reality capture data, addressing uncertainties to deliver high-quality, visually compelling survey results for land and sea.

    Assessment details

    Internals: 50%
    Final examination: 50%

    Timetable

    Semester 1

    Location
    Dunedin
    Teaching method
    This paper is taught On Campus
    Learning management system
    Blackboard

    Computer Lab

    Stream Days Times Weeks
    Attend one stream from
    A1 Tuesday 09:00-10:50 10-16, 18-21
    A2 Thursday 09:00-10:50 10-16, 18-21
    A3 Thursday 12:00-13:50 10-16, 18-21

    Lecture

    Stream Days Times Weeks
    Attend
    A1 Monday 12:00-12:50 9-16, 18-22
    Tuesday 11:00-11:50 9-16, 18-22
    Wednesday 13:00-13:50 9-16, 18-22
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