Remote Sensing and Photogrammetry Methods for Geospatial Support

Total Hours in Course81

Number of hours for lectures12

Number of hours for seminars and practical classes12

Independent study hours57

Date of course confirmation16.02.2022

Responsible UnitInstitute of Land Management and Geodesy

Course developer

Zemes pārvaldības un ģeodēzijas institūts

Grigorijs Goldbergs

Dr. phil.

Prior knowledge

BūvZ6045, Geodetic Support System I

Course abstract

The aim of course is gives students the advanced knowledge and practical skills to choose, apply, and use modern remote sensing and photogrammetry data and technologies in various situations related to surveying, land management, forestry and agriculture.

Learning outcomes and their assessment

As a result, students will learn and understand modern photogrammetric and remote sensing data acquisition methods, the nature of processes, application possibilities, data processing, and spatial analysis:
1. Knows how to apply modern photogrammetry and remote sensing data, the essence of methods, application possibilities, data processing, and spatial analysis in implementing geospatial support.
2. In the performance of his professional duties, to navigate the identification of photogrammetry and remote sensing data, tolls and applications to fulfil the actual work tasks.
3. Can apply acquired essential skills to work with remote sensing data, using photogrammetry and remote sensing methods and techniques in modern applied aspects and research directions.
Theoretical knowledge, skills and abilities acquired in practical works will be tested and evaluated in a written report, in defence of which the student receives a pass mark.

Course Content(Calendar)

1. Earth shape and size, referencelipsoid, horizontal distances and angles, map plan and profile. Absolute and relative measurement errors. (1h)
2. Geographic and orthogonal coordinate systems. Latvian coordinate system LKS 92. Coordinate networks. (1h)
3. Basic principles of remote sensing technology, electromagnetic radiation. Main characteristics of remote sensing data. Definition of photogrammetry, an overview of historical development. Integration of remote sensing, photogrammetry, Geodesy and Geographical Information Systems. (1h)
4. Remote sensing and photogrammetry instruments and technologies. Sensor selection. Remote sensing and photogrammetry related to photography, photographic basics and photographic equipment. Passive (optical) image acquisition sensors. Work with photos, measurement and interpretation (decryption), spectral analysis technologies (1h)
5. Coordinate systems in photogrammetry and remote sensing. Images orientation and image orientation elements. The essence, planning and implementation of aerotriangulation (phototriangulation). Imagery block adjustment. Direct georeferencing. (1h)
6. Processing of orthophotos. Accuracy of orthophoto maps. (1h)
7. Digital height models. Methods of obtaining 3D point clouds. (1h)
8. Fundamentals of Geodetic networks. Geodetic network surveying technology. Geodetic work performance quality requirements (surveying, topographical survey, land survey). Impact of surveying quality requirements on the planning and performance of photogrammetric works (1h)
9. Methods of digital photogrammetry in the thickening of Geodetic networks. The process of extracting vector data by stereo and mono digitization techniques of photogrammetry (1h)
10. Drone (UAV) technologies in remote sensing and photogrammetry. Planning and organization of photographic processes. Planning of support points. Application of drones in Geodesy (1h)
11. Active sensors-laser scanning (LiDAR), data processing and application in Geodesy. (1h)
12. Application of remote sensing technologies in determining the damage and consequences of storms, floods and other hazards (1h)

Practical works (12h)
1. 3D cloud creation and orthophoto generation by using photogrammetric methods in stereo imagery processing (Pix4D) (4h)
2. Using photogrammetric measurement (stereo and mono digitization) techniques for thickening geodetic networks and surveying. (4h)
3. Work with open LiDAR data (surface models acquisition and volume calculations). (4h)

Requirements for awarding credit points

Total course mark form:
- Practical (laboratory) works;
- Students ' independent research work (report).
Developed practical works must be credited.

Description of the organization and tasks of students’ independent work

In individual consultation with the teacher, the student should write a short research report in which the student receives a pass mark.

Criteria for Evaluating Learning Outcomes

The study course evaluation depends on the written research report and the cumulative assessment of the course tests and practical works.
The student works and research report are assessed by the established 10-point grading system.

Compulsory reading

1. Bikše J. Augstākā ģeodēzija. Mācību līdzeklis., Rīga:, RTU, 2007.
2. Vanags V. Fotogrammetrija. VZD. Rīga, 2003. 275 lpp.
3. Kraus K. Photogrammetry: geometry from images and laser scans. Berlin ;New York: Walter de Gruyter, 2011.
3. Mūsdienu Latvijas topogrāfiskās kartes. Autoru kolektīvs A. Zelmanis ... u.c. Rīga: VZD, 2001.

Periodicals and other sources

Mērnieks.lv, portals. Pieejams: http://www.mernieks.lv/
Latvijas Ģeotelpiskās informācijas aģentūra. Pieejams: https://www.lgia.gov.lv/
GIM International is the quality global magazine for Geomatics professionals. Pieejams: www.gim-internationa.com; https://www.gim-international.com/
1. Copernicus Open Access Hub (Sentinel 1-2 data). Pieejams: https://scihub.copernicus.eu/
2. EuroSDR National Mapping and Cadastral Agencies with Research Institutes and Universities in Europe. Piejams: http://www.eurosdr.net

Notes

Academic master's study program "Environmental, Water and Earth Engineering" full- time studies

Atsauksmes