Faculty of Technical Sciences

Subject: Geospatial ?echnologies - ?asics (17.GG99)

Native organizations units: Sub-department for Automatic Control and Systems Engineering
General information:
 
Category Professional-applicative
Scientific or art field Automatic Control and System Engineering
Interdisciplinary No
ECTS 5
Educational goal:

Students gain fundamental and applied knowledge in the field of geospatial technologies

Educational outcome:

The acquired knowledge is used in practical courses, forming and solving engineering problems.

Course content:

Place and role of geoinformation technologies. Basic terms and terminology. Acquisition of spatial data (GPS, photogrammetry, remote sensing), GNSS– technology bases and applications. Data acquisition using GNSS technology. Photogrammetry - technology bases and applications. Data acquisition based on photogrammetry. Remote sensing - technology bases and applications. Data acquisition based on remote sensing. Data classification and segmentation. Interpretation and presentation of spatial data. Visualization. Technology bases and applications of visualization. Application of geoinformation technologies in various fields. Interaction with GIS systems.

Teaching methods:

Teaching methods include lectures, computer practice, consultations , independent work on obligatory assignments. Evaluation: guided and independently developed two obligatory assignments and a two seminar papers; final examination is oral.

Literature:
Authors Title Year Publisher Language
McCloy, K.R. Resource Management Information Systems: Remote Sensing, GIS and Modelling 2006 CRC, Taylor & Francis group, New York English
Burrough, P., McDonnell, R. Principi geografskih informacionih sistema 2006 Građevinski fakultet, Beograd Serbian language
Jones, C.B. Geographical Information Systems and Computer Cartography 1997 Longman, Singapore English
Mather, P.M. Computer Procesding of Remotly-Sensed Images: An Introduction 2004 John Wiley&Sons, Chippenham English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Oral part of the exam No Yes 30.00
Term paper Yes Yes 20.00
Project task Yes Yes 15.00
Term paper Yes Yes 20.00
Project task Yes Yes 15.00
Lecturers:
API Image

prof. dr Kanović Željko

Full Professor

Lectures

vanr. prof. dr Radulović Aleksandra

Associate Professor

Computational classes

Faculty of Technical Sciences

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© 2024. Faculty of Technical Sciences.