1. Fundamentals of remote sensing: terminology and systems for remote sensing Electromagnetic radiation; Spectral bands; atmospheric diffusion and absorptions; spectral signature; spectral windows (VIS, NIR, SWIR, TIR); active and passive sensors.
Digital data: raster and vector files; data formats; spatial, radiometric, spectral and temporal resolutions;
Radiometric calibration; atmospheric correction; Geo-referencing
Planetary satellite data: LANDSAT, SRTM, MOLA, MOC, CTX, HiRISE
Introduction to the visual interpretation: shape, patterns, tones, textures, shadowing
QGIS exercises: working with raster data (stretching, color bar); vector file with points, lines and polygons; RGB virtual real and false color; attribute table; terrain profile tool; QGIS2three; georeferencing; Semi-Automatic Classification
Techniques of image processing: enhancement, classification, change detection, validations and accuracy.
Preparation of the QGIS archive for the final examination