Remote Sensing and Photogrammetry

Total Hours in Course162

Number of hours for lectures16

Number of hours for laboratory classes32

Independent study hours114

Date of course confirmation19.01.2022

Responsible UnitInstitute of Land Management and Geodesy

Course developer

Zemes pārvaldības un ģeodēzijas institūts

Grigorijs Goldbergs

Dr. phil.

Course abstract

The aim of the study course is to acquire basic knowledge and skills for the use of modern remote sensing and photogrammetry technologies. The Photogrammetry and Remote Sensing course give students the basic knowledge and practical skills to choose, apply, and use modern remote sensing and photogrammetry data and technologies in various situations and sectors related to surveying and land management, forestry and agriculture.

Learning outcomes and their assessment

Knows modern photogrammetric and remote sensing data acquisition methods, nature of methods, application possibilities, 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;
Able to apply the acquired basic skills to work with remote sensing data, using photogrammetry and remote sensing 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)

1. Definitions of remote sensing and photogrammetry. Review of historical development (lect.2h)
2. Basic principles of remote sensing technologies; application of products. Electromagnetic radiation. Basic characteristics of remote sensing data (lect.3h)
3. Definitions of photogrammetry, division, review of historical development (lect 2 h)
4. Basic principles of photogrammetry; application of products. (lect.2h)
5. Remote sensing and its relation to photogrammetry, unifying and difference. Remote sensing and photogrammetry instruments and technologies. Sensors selection. (lect.2h)
6. Remote sensing and photogrammetry related to photography, photographic basics and photographic equipment. Passive (optical) image acquisition sensors (lect.2h)
7. Work with photos, measurement and interpretation (decryption), spectral analysis technologies. (lect.1h, lab.w. 4h)
8. Coordinate systems in photogrammetry. Image orientation and image orientation elements. (lect.2h)
9. The essence, planning and implementation of aerotriangulation (phototriangulation). (lect.2h)
10. Imagery block adjustment. Direct georeferencing. (lect.2h)
11. Digital picture comparison (correspondence) theory. Epipolar constraints of the imagery. (lect.2h)
12. Development of orthophoto maps. Accuracy of orthophoto maps. (lect.1h, lab.w. 4h)
13. Digital elevation models. (lect.1h, lab.w. 4h)
14. UAV technologies in remote sensing and photogrammetry. Choice of technological solutions. (lect.2h)
15. Planning and organization of photography processes. Planning of reference points. (lect.2h, lab.w. 4h)
16. Active sensors - Laser scanning (LiDAR), data processing and application (lect.2h, lab.w. 6h)
17. Active sensors - Basic principles of Synthetic Aperture Radar (SAR) and radar data processing. (lect.2h, lab.w. 6h)
18. Remote sensing, photogrammetry, mapping and Geographic Information Systems fusion. (lect.2h, lab.w. 4h)

Requirements for awarding credit points

Exam assessment:
1. Written Exam, covering the questions of the whole subject course, according to the received exam ticket.
2. Test on course theory issues.
Successfully completed and defended practical work tasks:
3.1 Practical work - aerial and terrestrial image processing, 3D point cloud and orthophoto generation using photogrammetric techniques.
3.2 Practical work - processing freely available LiDAR and satellite data (Sentinel), generating relevant products using remote sensing techniques and freeware.
4. 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, constantly obtaining photogrammetric data with own consumer camera, and processing 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 marks of the written exam 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. Lillesand T et al. Remote sensing and image interpretation. Wiley & Sons, 2015.
4. Štrauhmanis J. Ģeomātikas pamati. Rīga: RTU, 2006. ācijas sistēmas. Jelgava: LLU, 2006.
5. Stūrmanis E. Ģeoinformācijas sistēmas. Jelgava: LLU, 2006.

Periodicals and other sources

1. Copernicus Open Access Hub (Sentinel 1-2 data). Pieejams: https://scihub.copernicus.eu/;
2. The International Society for Photogrammetry and Remote Sensing [tiešsaiste]. Pieejams: http://www.isprs.org
3. EuroSDR National Mapping and Cadastral Agencies with Research Institutes and Universities in Europe [tiešsaiste]. Pieejams: http://www.eurosdr.net

Notes

Academic higher education Master's study programme "Geoinformatics and Remote Sensing" full-time studies.

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