Course code BūvZ3154

Credit points 4.50

Photogrammetry

Total Hours in Course120

Number of hours for lectures24

Number of hours for laboratory classes24

Independent study hours72

Date of course confirmation19.01.2022

Responsible UnitInstitute of Land Management and Geodesy

Course developer

author Zemes pārvaldības un ģeodēzijas institūts

Grigorijs Goldbergs

Dr. phil.

Replaced course

BūvZB039 [GBUVB039] Photogrammetry

Course abstract

The aim of the study course is to give students the essential knowledge and practical skills to choose, apply, and use modern digital photogrammetry data and technologies in various situations and sectors related to surveying and land management, forestry and agriculture. The program is intended for comprehensive training of specialists of cadastre, agriculture, forestry and other rural areas.

Learning outcomes and their assessment

Knows the methods of obtaining modern photogrammetric data, the nature of methods, applications, data processing and spatial analysis.
Is able to orientate oneself in the issues of identification of photogrammetry and remote sensing application possibilities and definition / ordering and realization of work tasks while performing one's professional duties;
Is able to apply the acquired basic skills to work with remote sensing data, using photogrammetric methods and techniques, their application in modern applied aspects and research directions.
Assessment: Written Exam, covering the issues of the whole course of the subject; laboratory works and students' independent work.

Course Content(Calendar)

Full-time studies:
1. Basic principles of remote sensing technologies, application of products. Electromagnetic radiation. Characteristics of remote sensing data (3h)
2. Definition of photogrammetry and historical development review (2h)
3. Basic principles of photogrammetry technology, application of products (1h)
4. Photogrammetry tools and technology. Sensor selection (1h)
5. Passive (optical imagery) acquisition sensors. Photography, photographic basics and photographic equipment (2h)
6. Work with imagery, measurements and interpretation; spectral analysis technologies (3h)
7. Coordinate systems in Photogrammetry. Image orientation and image orientation elements (1h)
8. The essence of aerotriangulation (Phototriangulation); the bundle block adjustment; GPS / INS integration – direct georeferencing (1h)
9. Theory of image comparison (image matching). Semi-Global matching (SGM). Computer vision (1h)
10. Epipolar constraints of the imagery (1h)
11. Definitions of orthophoto, orthophoto calculation principles. Accuracy of orthophoto (1h)
12. Digital elevation models. 3D point cloud calculations by using photogrammetry techniques (2h)
13. UAV technologies for remote sensing and photogrammetry (1h)
14. Planning and organization of imagery data acquisition. Planning and location of GCPs (1h)
15. Modern applications of photogrammetry in forestry and agriculture (1h)
16. Integration of remote sensing, photogrammetry, digital mapping and geographic information systems. Selection of technological solutions (2 h)

Laboratory works:
aerial and terrestrial image processing, 3D point cloud and orthophoto generation using photogrammetry techniques and software (24 h)

Part-time studies:
All topics specified for full-time studies are implemented, but the number of contact hours is 1/2 of the total allocated full-time hours.

Requirements for awarding credit points

Assessment of Exam:
1. Written Exam, covering the questions of the whole subject course, according to the received exam ticket.
Completed and defended practical work tasks:
2 Practical work - aerial and terrestrial image processing, 3D point cloud and orthophoto generation using photogrammetric techniques.
3. Student independent practical work

Description of the organization and tasks of students’ independent work

Students' independent work task – using the skills and abilities acquired during laboratory work, a student has to obtain imagery with own consumer camera and process the received data using freely available software; presenting the results in written form (submitted electronically).

Criteria for Evaluating Learning Outcomes

The study course evaluation depends on the written Exam's assessment and the cumulative evaluation of the study course tests and student independent practical work.
A student can obtain a successful mark on a test or Exam if at least 50% of the test questions are answered correctly.
The student works and exam performance is assessed by the university established 10-point grading system.
The final exam mark is calculated as the arithmetic mean of the written exam marks and students' independent work.

Compulsory reading

1. Vanags V. Fotogrammetrija. VZD. Rīga, 2003. 275 lpp.
2. Kraus K. Photogrammetry: geometry from images and laser scans. Berlin; New York: Walter de Gruyter, 2011.
3. Ģeomātikas pamati. Rīgas Tehniskās universitāte., RTU, 2006

Further reading

1. Konecny G. Geoinformation: remote sensing, photogrammetry and geographic information systems. CRC Press, 2014.
2. Luhmann T. , Robson S., Kyle S., Boehm J. Close-range photogrammetry and 3D imaging. Berlin; Boston: Walter de Gruyter, 2013. 2020.g.

Periodicals and other sources

1. The International Society for Photogrammetry and Remote Sensing [tiešsaiste] Pieejams: https://www.isprs.org
2. EuroSDR National Mapping and Cadastral Agencies with Research Institutes and Universities in Europe [tiešsaiste] https://www.eurosdr.net

Notes

Professional higher education bachelor study programme "Geoinformatics and Remote Sensing" full-time and part-time studies.