The students will acquire knowledge and skills on the processing and analysis of satellite imagery, aerial photography and vector data using Geographic Information Systems and Remote Sensing. They will be able to encode digital geospatial information and store it in digital spatial databases, use satellite data to extract quantitative and qualitative information (land use/cover).
Moreover, they will be able to understand modelling methodologies of the terrain by creating digital terrain models. They will also be able to create-visualise the relief, the slope and the aspect of an area in order to enrich Spatial Plans and General Development Plans with physical representations of space.
They will also deepen their knowledge in cartographic principles in order to produce maps at different scales, generalisations and volume of information.
They will also be able to contribute to the construction of three dimensional models depicting specific spatial entities of the environment while making systems and their spatial organisation for the in-depth analysis and determination of spatial factors that will lead to a comprehensive regional development. Thus, they will have the opportunity of combining elevation and thematic information on the creation of three-dimensional interactive representations and virtual flight procedures.
These skills will help the students to acquire knowledge of the state-of-the-art technologies, combining them with the acquired theoretical background. This will give them both the academic and professional precedence in the disciplines of Planning and Regional Development.
The course includes the theoretical framework and the necessary concepts on the technical tools and spatial representations such as Cartography, Geographic Information Systems and Remote Sensing. It includes the analysis of the structure, the function of the technological tools as well as the way of coding and analysis of spatial phenomena.
More specifically, the new technologies are analysed for spatial representation of space. Remote sensing and Geographic Information Systems (GIS) are the basic sciences of Geoinformatics to be used in spatial analysis. Recent developments such as high-resolution satellite data in combination with processing software allow the collection of detailed and highly accurate information. This has led to the development of interactive spatial representations in three dimensions, with the virtual tours capabilities. Finally, the steps required to create a three-dimensional spatial model is analysed.
A more extensive presentation of imaging tools – representations of space in two and three dimensions is presented. In this framework key concepts are analysed such as:
• GIS and geographical data: Data used to display earth features and phenomena (spatial – descriptive data) both in two and three dimensions.
• Cartography: It refers to the production of cartographic products and the methodology of representing spatial phenomena.
• Photogrammetry and Remote Sensing: the analysis of digital images acquired from airplanes or satellites depicting the features of the earth surface.
Finally an analysis of the typology of spatial representations and their role in the space planning is made. This includes practicals for understanding and learning of geospatial data processing and analysis using GIS and remote sensing software. (ArcGis – ERDAS – IDRISI).
The course is divided into the following sections:
PART 1: Basic concepts of spatial representations of Cartography and maps
Historic background of maps in spatial management/Geographic Data: Spatial-Descriptive/GIS requirement/GIS components/Information management in GIS Layers/Database definition/Visualisation of spatial data into a GIS system/Scale, map projections, reference systems/Maps creation (layouts)/ Creating a GIS system: Problem analysis, Introduction, processing and output information/data localisation.
PART 2: Data sources
Basic concepts of Photogrammetry, Remote Sensing/History of aerial photography – Remote Sensing
Aerial photographs – processing steps/Satellite imagery-processing steps/Management and performance of specific data types: Digital terrain model, definitions, calculation of slope, orientation of a region.
PART 3: Introduction – encoding data
Digitiser – Scanner/Scanning procedures – geolocalisation of digital imagery
PART 4: Data processing
Spatial analysis operations: Boolean operations, arithmetic trigonometric operations, Spatial operations between thematic data layers: Overlay of thematic data, Buffer creation of boundaries and zones.
PART 5: Three dimensional representations
Correlation of spatial and thematic information
PART 6: Applications of spatial management
Outdoor design-Environment/ Outdoor Planning-Environment