Knowledge and practical skills relative to numerical cartography, digital data acquisition, GIS applications and use of remote sensing satellite images.
Knowledge and understanding the topics teached during the course;
applying knowledge and understanding to GIS and Remote Sensing;
making judgements applied to practical case studies;
communication skills on numerical cartography and GIS;
learning skills from practical case studies.

The course aims to provide both theoretical and practical tools for reading and interpreting territorial and demographic data, with reference to applications in urban and architectural design. It introduces the fundamentals of geodesy and cartography, the main coordinate systems, map projections, and transformations between different systems. A significant part of the course is dedicated to the analysis of the main territorial information sources, including the cartography of the Military Geographic Institute, the topographic database of the Friuli Venezia Giulia Region, ISTAT statistical data, and the datasets available in the MASE Geoportal. The course covers the fundamental concepts related to GIS, including definitions, standards, and reference regulations, with in-depth discussions on georeferencing, raster and vector formats, nominal scales, spatial resolution, entity and attribute structures, as well as spatial and non-spatial query operations, the organization of information layers, and data management. From the perspective of applications in urban, architectural, and environmental fields, the course introduces the main digital survey techniques for spatial data acquisition, including terrestrial and aerial photogrammetry. Remote sensing is also addressed, illustrating its fundamental principles and main applications in environmental monitoring, natural resource management, and land use analysis (Corine Land Cover and LANDSAT). The course further explores the structure of digital data and the use of databases in GIS environments, with particular reference to geodatabases and transformations between raster and vector data. Techniques of digitization, simplification, and data aggregation are analyzed, along with digital terrain and elevation models (DTM, DSM, DBM), and the main interpolation methods. A specific focus is devoted to the Regional Environmental and Territorial Data Infrastructure (IRDAT), with attention to the structure of layers, accuracy levels, coding systems, and relevant technical standards. The use of GIS for territorial analysis aimed at tackling climate change is also discussed, with particular reference to applications at the urban and territorial scale. The course includes hands-on activities on personal computers, aimed at developing skills in the use of GIS software, database management and querying, the use of main processes for producing thematic maps, and the processing of satellite images. During the exercises, major open-source platforms will be used, including QGIS, GRASS, and SAGA.

AA.VV., 2025, QGIS Training Manual, https://docs.qgis.org/3.40/pdf/it/QGIS-3.40-TrainingManual-it.pdf Carta M., 2011, La rappresentazione nel progetto di territorio. Un libro illustrato, Firenze University Press, Fierenze Dematteis G., 1985, Le metafore della terra. La geografia umana tra mito e scienza, Feltrinelli, Milano Dematteis G., 1994, Progetto implicito. Il contributo della geografia umana alle scienze del territorio, Franco Angeli Editore, Milano Migliaccio F., Carrion D.,2019, Sistemi informativi territoriali. Principi e applicazioni, UTET, Torino Noti V., 2014, GIS Open Source per geologia e ambiente - Analisi e gestione di dati territoriali e ambientali con QGIS, Dario Flaccovio Editore, Milano

The course includes learning activities focused on: • Retrieval and management of data from major regional databases (IRDAT and OpenDataFVG), national databases (ISPRA, MASE, Revenue Agency), and international sources (Corine Land Cover and LANDSAT); • INSPIRE and IRDAT protocols (metadata standards); • Libraries for processing vector data; • Libraries for processing raster data; • Plug-ins useful in the urban planning field; • Territorial analysis through isochrones; • 3D modeling; • Preliminary survey in GIS; • Spatialization and analysis of ISTAT census data; • Introduction to the use of GIS in the context of Climate Change; • Use of QGIS: from interface to algorithm creation with the processing modeler; • Georeferencing; • Layout methodologies and production of ATLASES.

Theorical and practical lessons on dedicated Pcs with GIS applications and remote sensing data.

During the course some practical lessons will be given as support to didactic activities, the link to digital material on Moodle ill be given.

Students will implement (alone or in groups of 2-3 persons) a project application (using an open source software). The exam will consist in the presentation of the project and some oral questions on the topics presented during the Course.

This Course enhance some topics strictly related to one or more Agenda 2030 obiectives for the United Nations Sustainable Development.