Data collection techniques

Title of course: Data collection techniques

Code: TTGME7007_EN

ECTS Credit points: 3

 

Type of teaching, contact hours

- lecture: 2 hours/week

- practice: -

- laboratory: -

Evaluation: exam

Workload (estimated), divided into contact hours:

- lecture: 28 hours - practice: -

- laboratory: -

- home assignment: -

- preparation for the exam: 62 hours

Total: 90 hours

Year, semester: 1st year, 2nd semester

Its prerequisite(s): -

Further courses built on it: -

Topics of course

The aim of the course is to familiarise students with direct and indirect spatial data collection methods, the principles and theoretical background of data collection tools. The course provides an insight into the theory of data collection using conventional geodetic instruments, RTK GNSS systems and remote sensing. The course covers the following topics: geodetic basics: the main features of the Unified National Horizontal and Elevation Datum Network (EOVA and EOMA), methods of horizontal and elevation point fixation; the principle of operation of traditional geodetic data collectors; sources of geodetic data acquisition in Hungary; the principle and advantages of satellite positioning, the signals and codes transmitted by satellites, methods of determining the satellite-receiver distance: Code measurement, phase measurement; sources of error in satellite positioning; measurement techniques for satellite positioning; Real-Time Kinematic (RTK) technology, its advantages, theory of conventional and networked RTK measurements; physical basis of remote sensing, electromagnetic spectrum; characteristics of remotely sensed data and their classification (spectral, radiometric, geometric and temporal resolution); grouping and characteristics of remote sensing platforms and sensors; properties of laser light, laser wavelengths used in remote sensing, methods of laser telemetry; LiDAR operation, range, drawbacks and applications; theory of satellite data collection, available remote sensing databases.

 

Literature

  • Lemmens, M (2011): Geo-information: Technologies, Applications and the Environment, Springer, ISBN 978-94-007-1666-7 -
  • Weitkamp, Claus (2005): Lidar. Range-Resolved Optical Remote Sensing of the Atmosphere, Springer 
  • Takashi Fujii, Tetsuo Fukuchi 2005: Laser Remote Sensing, CRC Press, p. 912.

Requirements:

- for a signature

Participation at practice classes is compulsory. A student must attend the practice classes and may not miss more than three times during the semester. The students must choose one of the topics offered by the teacher to plan a project, write an essay and prepare a presentation. The students must take a written exam at the end of the semester.

- for a grade

The course ends in an examination: Based on the score of the tests separately, the grade for the tests and the examination is given according to the following table:

Score  Grade
0-49 fail    (1)
50-64 pass  (2)
65-74 satisfactory    (3)
75-85 good    (4)
86-100 excellent (5)

 

If the score of any test is below 60, students can take a retake test in conformity with the EDUCATION AND EXAMINATION RULES AND REGULATIONS.

Person responsible for course: Prof. Dr. Szilárd Szabó, university professor, DSc

 

Last update: 2024. 02. 06. 12:02