The course aims to describe the instruments, methods and operating procedures for the use of Geomatics for regional and urban planning, natural resources and climate change domains. Geomatics is intended as a technical and methodological approach able to acquire, archive, model, process and represent georeferenced data suitable for a correct representation and management of environmental issues. Starting with vector and raster data (also available in an open source environment), the course aims to process digital images (mainly acquired by satellite platforms) and mapping data suitable to implement Geographical Information Systems (GIS) at different representation scales.

In this course, the students will learn: • the technological aspects related to remote sensing, digital maps, geodatabses, GIS; • the theoretical aspects related to the use of satellite images to extract thematic and spatial information; • how to access and process available free and open source data; • a critical analysis of the adopted procedures and the related outputs. After completing the course, the students will be able to: • process and extract value added information from satellite images; • process and extract value added information from vector data; • fully design and implement a Geodatabase exploiting a commercial software package (ESRI). The practical exercises involve a personal evaluation of the overall geodatabase design and implementation workflow, with the aim to extract valuable information for regional and urban planning, environmental issues and climate change domains.

Basic concepts about reference systems.

Acquisition operational schema Emission laws and external source of energy, Interaction with atmospheric layers Interaction with physical surfaces Density histograms, slicing and scatter plots Basics of colorimetry Digital filtering Unsupervised classifications Supervised classification Confusion matrix Operational satellites and sensors Geometric, radiometric, spectral and temporal resolutions Comprehensive lab devoted to an environmental operational analysis Basics on GIS: Definition of GIS and LIS, the structure of GIS, data types, geometrical data (raster, vector), descriptive data (attributes), descriptor data (metadata), management software tools (commercial and Open Source). A GIS data management software (ArcGIS), some example of geometrical data, attributes, descriptor, layer symbology, thematic mapping, shape files. World Reference system (WRS) for world mapping: movement/deformations of the Earth, static and dynamic WRS, geographic coordinates, cartographic coordinates, cartographic deformations. World reference system (WRS) and cartographic coordinate system in ArcGIS, projection file (prj), world file (.iiw) for raster georeferencing, Coordinate transformation, accuracy of ArcGIS transformation, georeferencing data (raster and vector) with ArcGIS. Digital mapping: definition of digital map, coordinates and coding, nominal scale, level of details, precision/accuracy, kinds of digital map, horizontal/vertical contents Digital mapping: coding system (old, INSPIRE), geometrical and topological structure of map, data file format Data base design: the procedure for DB design, external model, conceptual model (entity-relationships), logical model (relational), physical model, the problem of complex data and multiple data Attributes and DB in ArcGIS, practical exercises assignment for each team DTM/DSM: definition of Digital Terrain Model (DTM) and Digital Surface Model (DSM) dense models, National and International standards, information content, open elevation model (SRDTM) Basic parts of GIS prototypes Spatial geoprocessing: usage of DTM/DSM, interpolation, resampling, surface analysis (slope, aspect, …), basins, 3D spatial analyst in ArcGIS using DTM/DSM for a 3D GIS production Spatial geoprocessing: visibility, sections/profile extraction, buffer, extract, overlay, proximity, statistics Verification of practical exercices for each team Acquisition of georeferenced data: direct survey, fotogrammetry and drone, paper map digitalization, student team of POLITO

Sustainable development goal 11

The course in organized in theoretical classes and laboratories devoted to the usage of specific geomatics software for remote sensing and digital mapping processing.

The main text consists of the lecture notes provided by the teacher and slides presented during the lessons.

Modalità di esame: Prova orale obbligatoria; Prova scritta in aula tramite PC con l'utilizzo della piattaforma di ateneo;

Exam: Compulsory oral exam; Computer-based written test in class using POLITO platform;

... The exam consists of two parts: • The ability to process data thanks to dedicated software, in order to extract added value information. This part is evaluated as vote/30. • Oral/Written examination where is possible to evaluate theoretical aspects acquired during the course. This part is evaluated as vote/30. The final grade is a weighted average of the results of the three previous assessments.

Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.