Remote sensing in cadastral systems
Course: Land management and cadastre
Structural unit: heohrafichnyi fakultet
Title
Remote sensing in cadastral systems
Code
ОК 4.
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2022/2023
Semester/trimester when the component is delivered
2 Semester
Number of ECTS credits allocated
4
Learning outcomes
PLO 2. To know the theoretical foundations of geodesy, higher and engineering geodesy, topographic and thematic mapping, mapping and updating, remote sensing and photogrammetry, land management, real estate valuation and land cadastre
PLO 5. To use methods of collecting information in the field of land management, its systematization and classification in accordance with the design or production task;
PLO 7. To use methods and technologies of land management design, territorial and economic land management, cadastral surveys and maintenance of the state land cadastre
PLO 8. Develop land management projects, land management and cadastral documentation and land valuation documentation, draw maps and prepare cadastral data using computer technologies, geographic information systems and digital photogrammetry;
Form of study
Full-time form
Prerequisites and co-requisites
Students should have theoretical knowledge of the physical foundations of electromagnetic radiation, the nature and characteristics of optical radiation; features of the passage of radiation through the Earth's atmosphere. Have practical skills in the methods and techniques of photogrammetric processing of aerial photographs and automated decoding of space photographs.
Course content
"Photogrammetry and land surveying in cadastral systems" is a mandatory discipline taught for students who are acquiring the master's qualification level. The discipline is related to related fields of knowledge, such as aerospace research methods, geoinformatics, cartography and is a logical continuation and completion of the courses "Fundamentals of remote sensing of the Earth", "Digital image processing". The course consists of two content modules. The first is devoted to general issues of pattern recognition theory, methods and techniques for improving the quality of space photographs, photogrammetric methods of processing digital images. In the second module, the methods and techniques of space image processing, automated decoding and their use for solving land management and cadastre problems are revealed.
Recommended or required reading and other learning resources/tools
1. Bilous V.V., Bodnar S.P., Kurach T.M., Molochko A.M., Patychenko H.O., Pidlisetska I.O. Dystantsiine zonduvannia z osnovamy fotohrammetrii: navchalnyi posibnyk. K.: Vydavnycho-polihrafichnyi tsentr «Kyivskyi universytet», 2011. – 367 s.
2. Aerokosmichni sposterezhennia v interesakh staloho rozvytku ta bezpeky: Materialy dopovidei Pershoi Vseukrainskoi konferentsii (Kyiv, 2008 r.) – Kyiv: “Nauk. dumka”, 2008. – 264 s.
3. Aerokosmichni sposterezhennia v interesakh staloho rozvytku ta bezpeky GEO-UA Uporiadn. L.I.Samoilenko. – K.: TOV “SEEM”, 2008. – 116 s.
4. Hrekov L.D. Kosmichnyi monitorynh zabrudnennia zemel tekhnohennym pylom/L.D.Hrekov, H.Ia.Krasovskyi, O.M.Trofymchuk. – K.: Nauk. dumka, 2007. – 123 s.
5. Dorozhynskyi O.L., Tukai R. Fotohrammetriia: Pidruchnyk. – Lviv: Vydavnytstvo Natsionalnoho universytetu “Lvivska politekhnika”, 2008. – 332 s.
Planned learning activities and teaching methods
lecture, laboratory work, modular control work, survey, presentation, discourse, exam
Assessment methods and criteria
Knowledge control is carried out according to the modular rating system, which provides for a two-level evaluation of the learned material, in particular, the evaluation of theoretical training (20%) includes: presentation (20%), depth of methodology in the represented research (20%), feasibility and coherence of proposals (20%) , degree of originality (20%) and identification of methodological problems of the topic, situation (20%) and assessment of practical training (80%) includes: qualitative integrity of observation (25%), ability to assess the problem (25%), identification of ways and methodology of problem solving , which has arisen or may arise (25%), outlining ways to solve specific (extraordinary) problems (25%).
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Tamara
Mykolayivna
Kurach
Department of Geodesy and Cartography
heohrafichnyi fakultet
heohrafichnyi fakultet
Departments
The following departments are involved in teaching the above discipline
Department of Geodesy and Cartography
heohrafichnyi fakultet