Objective of the course is to determine the condition of environmental elements and factors. The emphasis is on the analysis of remote products (reading of images, photo interpretation, comparison of data obtained from images in different periods of time, location of polluters and potential polluters, mapping of degraded territory, control of all elements from the environment, etc.). The task of applying remote sensing is the analysis of elements and factors within the system of environment. Also, the tasks are analysis of the current state of environment, and the analysis after the degradation. The main objectives are to predict the negative effects of human activities in the environment. Ultimately, this will be an attempt to determine and prevent environmental degradation, at the basis of remote sensing.

The outcome of the course is management and control of environment elements. Research will include processing aerial photo and satellite images.

Theoretical lectures

1. Remote sensing of environment – Introductory notes;

2. The principle of remote sensing (electromagnetic energy, sensors, platforms, remote images);

3. Products of remote sensing and basic of processing images (aerial photo, satellite images, rectification, visual interpretation, classification, readability of images, deciphering, photo interpretation, etc.);

4. The importance of Global Positioning System in research and control of the environment (GPS technology);

5. GIS software used in image processing (Idrisi, ER Mapper, TNT, Erdas);

6. Integration remote sensed images with GIS;

7. The importance of satellite missions for research of environment (Landsat, Spot, Ikonos, Jers, etc.);

8. Remote sensing of pollution sources (water, air, soil);

9. Remote sensing of vegetation (effects of human activities, illegal logging, etc);

10. Remote sensing of natural disasters (floods, fires, erosion, landslides, volcanic eruptions);

11. Disasters caused by human activities (nuclear and war disasters);

12. Processing of aerial photographs at environmental research;

13. Multispectral analysis of satellite images at environmental research;

14. Remote sensing of the changed state of the environment (waste, industry, transport, agriculture, etc);

15. Remote sensing in control and management of the environment (remote monitoring, accidents monitoring, monitoring of natural disasters).

Practical lectures

1. Processing aerial photo (determining the type of aerial photographs, markings on images, center point);

2. Processing aerial photo (scale, orientation of the image by North, transfer of the center point to the neighboring image);

3. Processing aerial photo (vertical model, radial deformation, transfer of the image center point to the topographic map);

4. Ecological mapping of detail from aerial photo (reading, deciphering, photo interpretation, mapping, exercise 1);

5. Analysis of satellite images – Idrisi software (content analysis, nature color composites, false color composites);

6. Analysis of satellite images – Idrisi software (image mosaicking, import and export of data, communication with other GIS software);

7. Analysis of satellite images – Idrisi software (vegetation analysis, determination of NDVI);

8. Analysis of satellite images – Idrisi software (soil analysis, degraded land, USLE);

9. Ecological mapping of details from satellite images (multispectral analysis, mapping, exercise 2);

10. Colloquium (written assignment);

11. Production of graphic work (mapping natural elements of the environment - current state);

12. Production of graphic work (mapping of human activities);

13. Production of graphic work (mapping of pollution sources);

14. Production of graphic work (synthesis maps 1);

15. Completion of graphic work (synthesis map 2).

Campbell J. B., Wynne R. H., (2011): Introduction to Remote Sensing, Fifth Edition, The Guilford Press, New York-London.
Chen C. H. (2008): Image Processing for Remote Sensing, CRC Press, Taylor & Francis Group, New York.
Jensen J. R. (2007): Remote Sensing of the Environment: An Earth Resource Perspective, Upper Saddle River, NJ: Prentice-Hall.
Milanović M., Lješević M. (2009): Teledetekcione metode istraživanja životne sredine, Geografski fakultet, Univerzitet u Beogradu, Beograd.
Pavlović R., Čupković T., Marković M. (2004): Daljinska detekcija, Univerzitet u Beogradu, Rudarsko-geološki fakultet, Beograd.