Remote Sensing (MGIS1I1)
- Level of study master academic studies
- Subject status: elective
- ECTS: 7
- Semester: I
- Number of classes: 3+0
Determination real and change condition of geospatial elements by remote sensing.
The results are the control and auditing of the physical-geographical and socioeconomic elements of the environment. The final result is data base of geospatial elements.
Theoretical lectures per weeks
- Introduction of remote sensing.
- Comparison of aerial and satellite images.
- Bases procedures of image processing.
- Processing of satellite images.
- Measuring on satellite images (point, line and polygon objects).
- Correction of visual interpretation.
- Spatial image filtering.
- Improvement of geometry edges at images.
- Indices of vegetation.
- Supervised and unsupervised classification of satellite images.
- Application of different models in the analysis of geospatial elements.
- Application of remote sensing in the analysis of natural phenomena and processes.
- Application of remote sensing in the analysis of social phenomena and processes.
- Application of remote sensing in environmental protection.
- Application of remote sensing in spatial planning.
Practical lectures per week
I to III - Application of different models in the analysis of geospatial elements
IV to VI - Application of remote sensing in the analysis of natural phenomena and processes.
VII to IX - Application of remote sensing in the analysis of social phenomena and processes.
X to XII - Application of remote sensing in environmental protection.
XIII to XV - Application of remote sensing in spatial planning.
Милановић М., Љешевић М. (2009): Теледетекционе методе истраживања животне средине, Универзитет у Београду, Географски факултет, Београд.
Horning N., Robinson J., Sterling E., Turner W., Spector S. (2015): Remote Sensing for Ecology and Conservation, Oxford, UK, Oxford University Press.
Weng Q. (2015): Remote Sensing and GIS Integration – Theories, Methods, and Applications, The McGraw Hill, New York.
Thenkabail S. P. (2016): Remote Sensing of Water Resources, Disasters, and Urban Studies, CRC Press, London/New York.
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