Remote Sensing, Geomatics and Spatial Planning

Optical remote sensing constitutes an important support tool for reading the territory and the extraction of spatial data. The course aims at providing the theoretical and operational basis for the production of thematical maps of land use/land cover and the extraction of the most common spectral indices (NDVI, EVI, NDSI). The emphasis will be placed on free medium resolution satellite data useful for landscape and territorial analysis

Students will acquire competences and skills in:

the main strategies and algorithms for processing of remote sensing data
abilities in data interpretation
the systems and resources to obtain remote sensing data
analysis methods of remote sensing data
the preparation of technical reports where cartography is a primary element.

Students will further be able to:

a) define a specific work flow to comply with specific prerequisites of spatial analysis;
b) obtain multispectral data which comply with project requirements;
c) realize the previously defined workflow using the tools available in software (QGIS, SAGA GIS, SNAP) ;
d) structure and write a technical report for the presentation of results.

The students will learn how to autonomously define an operational strategy to solve spatial problems, recognizing the most appropriate data in relation to the requirements of accuracy, scale and content