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: - Mario A. Gomarasca, Basics of Geomatics, Springer, 2014, EAN: 9789400789517 - Canada Centre for Remote Sensing, Fundamentals of Remote Sensing, https://www.nrcan.gc.ca/sites/www.nrcan.gc.ca/files/earthsciences/pdf/resource/tutor/fundam/pdf/fundamentals_e.pdf - MIT GIS Services Group. RES.STR-001 Geographic Information System (GIS) Tutorial. January IAP 2016. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.

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

The exam is aimed at assessing the knowledge and expertise acquired by the students through the evaluation of: - the cartographic outputs produced by the student teams, to be uploaded at least 3 working days before the exam session; - an individual on-line oral examination focused on the management and processing of geospatial data and satellite imagery in a GIS environment (the expertise related to the use of the software is also verified). Both evaluations will equally contribute to the final grade, specifically 50% the written report and 50% the on-line oral examination. It has to be remarked that both evaluations should be considered at least sufficient to pass the exam.

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

The exam is aimed at assessing the knowledge and expertise acquired by the students through the evaluation of: - the cartographic outputs produced by the student teams, to be uploaded at least 3 working days before the exam session; - an individual (on-line or on-site) oral examination focused on the management and processing of geospatial data and satellite imagery in a GIS environment (the expertise related to the use of the software is also verified). Both evaluations will equally contribute to the final grade, specifically 50% the written report and 50% the (on-line or on-site) oral examination. It has to be remarked that both evaluations should be considered at least sufficient to pass the exam.