Geoinformatics II

- introduction to remote sensing; types and sources of remotely sensed data; tools in remote sensing; basic concepts in remote sensing (spectral reflectance patterns, types of resolution in remote sensing data),
- visual interpretation of remotely sensed images,
- classification of multispectral images (unsupervised, supervised classification; hard and soft classifiers; object-based image classification; classification accuracy),
- multispectral image transformations and their applications (vegetation indices; built-up and water surface detection indices; estimation of the Earth's surface temperature), fusion of remotely sensed images (multiresolution, multitemporal, multisensor),
- use of lidar data,
- spatial interpolation (global and local spatial interpolation methods) and introduction to geostatistics (kriging),
- group project: use of remote sensing or spatial interpolation to answer a geographical question (topic, area and data chosen by the group).

• Wagner, T. A., Chapmana, D. J., Sangermano, F., 2017. Remote sensing with TerrSet / Idrisi. Geocarto International. COBISS.SI-ID – 65432418
• Lillesand, T. M., Kiefer, R. W., Chipman, J. W., 1994. Remote sensing and image interpretation. Wiley. COBISS.SI-ID – 15355653
• Mather, P. M., 1999. Computer processing of remotely-sensed images. An introduction. Chichester, John Wiley & Sons. COBISS.SI-ID – 9797986
• Oštir, K., 2006. Daljinsko zaznavanje. Ljubljana, Založba ZRC. COBISS.SI-ID – 230389504

Other current literature available in the e-classroom.