The training course "Remote Sensing and GIS" offered to the MSc degree program in Architecture Construction and City aims to provide: - the knowledge of the fundamentals of geospatial and cartographic multi-scale data management, with a specific focus on the data acquired by satellite platforms and on the urban scale; - the expertise required to extract value-added information and to generate thematic maps in a GIS environment, with the goal to support a decision process. Free and open data sources will be used as primary input dataset (including the satellite data acquired by the European Copernicus Sentinel satellites). Knowledge and expertise will be applied to an urban case study, e.g. the monitoring of phenomena (both natural and man-made, from the thematic and geometric point of view) by means of multi-temporal data processing.

The purpose of the course is to provide to the students the expertise required to critically analyse (both individually and in team) a case study (from real-world professional applications) by means of management, integration and processing of geospatial, cartographic and satellite data. Specifically, the students will be able to: - identify and acquire the reference geospatial data, including satellite ones, through the analysis of the requirements of a case study in terms of thematic content, level of detail and update; - design and implement a proper data model for the integration and management of the selected geospatial data in a GIS environment; - to generate ad-hoc thematic maps based on the output of the analyses; To develop the aforementioned expertise, the students will learn the following fundamentals of satellite remote sensing and geographic information systems, with the goal to properly handle the application domain: - the main cartographic reference system; - the technical features of raster and vector datasets and the main processing methods; - the basics of geographic data model design and implementation; - the fundamentals of remote sensing sensors (both optical and radar)

To meet the learning goals of the of the course, the basic knowledge of Geomatics acquired during the relevant Laboratory course of the Bachelor's degree program is considered a prerequisite.

The course topics, grouped in lectures and software exercises, are detailed in the following list. Lectures: - Introduction, definitions and terminology (2 h) - Fundamentals and principles of GIS (9 h) - Fundamentals and principles of optical and radar Satellite Remote Sensing (9 h) Software exercises: - Implementation, management and integration of geospatial data in a GIS environment (15 h) - Satellite data processing for the extraction of added-value information by means of (un)supervised algorithms and/or visual interpretation (15 h) - analysis of a case study, to be jointly defined among student teams and teacher (10 h)

According to the course structure, theoretical and operational fundamentals of remote sensing and GIS are provided through lectures. Such knowledge is then exploited to develop the required expertise through ad-hoc exercises based on a specific software solution. Additionally, the students will work in teams (max 3 people) to analyse a specific case study: the output of the analysis will be summarised in cartographic outputs that will be subject to evaluation. Self-assessment activities will be also proposed during the lectures and the exercises, allowing the students to self assess their progress in the learning process.

The teaching material used during the course will be made available to the students on the teaching portal. Suggested additional reading materials: - Pietro Alessandro Brivio, Giovanni Lechi, Eugenio Zilioli, Principi e metodi di Telerilevamento, Città Studi Edizioni, 2006, ISBN: 88-251-7293-1 - Mario A. Gomarasca, Basics of Geomatics, Springer, 2014, EAN: 9789400789517

Modalità di esame: Prova orale obbligatoria; Elaborato grafico prodotto in gruppo;

Exam: Compulsory oral exam; Group graphic design project;

... Knowledge and expertise acquired by the students will be assessed through the evaluation of both the cartographic outputs produced by the student teams and an oral examination, where the expertise related to the use of the software is also verified. Both evaluations will contribute to the final grade, specifically: 1/3 the written report and 2/3 the oral examination. It has to be remarked that both evaluations should be considered at least sufficient to pass the exam.

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.