ID:
508200
Duration (hours):
58
CFU:
6
SSD:
GEOGRAFIA FISICA E GEOMORFOLOGIA
Year:
2025
Overview
Date/time interval
Secondo Semestre (02/03/2026 - 24/03/2026)
Syllabus
Course Objectives
The course provides lectures, seminars and exercises with the basic features and main applications of remote sensing and GIS. Principles of GIS: Vector and Raster structure, Analysis application, inventory applications, database, geoprocessing, management application. The course will provide the basic principles of Earth Observation techniques. The theoretical knowledge will be applied to understand and manage the existing satellite-derived products and to create new ones. During the practical exercise, a case study in the context of natural hazard risk analysis will be presented to the students, providing them satellite images and the basic processing steps useful to analyze the case. At the end of the course, students will have gained a solid understanding of the fundamental principles of geomatics and GIS. They will be able to identify the various types of geospatial data and apply theoretical knowledge to real case studies. The practical skills students will acquire include the ability to use GIS software for spatial data analysis, create thematic maps, and analyse the results. The course aims to enhance students' critical thinking and judgment by analyzing real case studies. Additionally, the course intends to develop students' communication skills through oral presentations of their projects. Finally, it aims to empower students to independently analyze remote sensing data within a GIS environment.
Course Prerequisites
The course starts from very basic concepts, but are required some formal introduction to the field of computing, both to provide a firm background in the fundamental principles as well as to provide motivation for the applications that are to follow. Students should also have some background in physics to understand the phenomena involved (GIS is using spatial data as the Remote sensing one) and some background in mathematics (like Boolean algebra) to understand the operations in data processing and their meaning. Further, the student should have a strong desire to learn and understand how risk assessment methods for natural hazards can be built on top of new and emerging technologies, such as the Geographic Information Systems (GIS).
Teaching Methods
The teaching method includes lectures and practical exercises. PowerPoint presentations are used for the lectures and are made available to students in the dedicated section of the UNIPV Moodle KIRO platform. During the practical exercises, students are guided in the use of GIS software and open-source satellite images to study real cases in risk assessment.
Assessment Methods
The final grade will be given by an oral exam, along with the presentation of a project on remote sensing data and GIS. The evaluation criteria are: knowledge of the basic concepts of geomatics and its applications, the level of articulation in the response. The exam involves an evaluation that is expressed as a grade of out of 30 as it follows: • <18: insufficient level of competence • 18-20: sufficient level of competence • 21-23: moderate level of competence • 24-26: good level of competence • 27-29: very good level of competence • 30-30 cum laude: excellent level of competence
Texts
-Fischer, M. M., & Getis, A. (Eds.). (2010). Handbook of applied spatial analysis: software tools, methods and applications (pp. 125-134). Berlin: Springer. -De Smith, M. J., Goodchild, M. F., & Longley, P. (2007). Geospatial analysis: a comprehensive guide to principles, techniques and software tools. Troubador publishing ltd. -Bonham-Carter, G. (1994). Geographic information systems for geoscientists: modelling with GIS (No. 13). Elsevier. -Migliaccio, Federica - Carrion, Daniela. Sistemi informativi territoriali : principi e applicazioni / Federica Migliaccio, Daniela Carrion. - 2. ed. - Torino : UTET, 2020. - XV, 412 p. -Slide fornite dal docente reperibili all'interno della piattaforma UNIPV KIRO https://elearning.unipv.it/
Contents
MODULE 1. - The GIS systems: Overview - The structure: Vector, Raster, geodatabase - Spatial analysis - Reference systems and cartography - Thematic cartography – Familiarization with QGIS - Principles and applications of remote sensing. Physics of remote sensing - Sensors and imaging systems: active/passive, resolutions - Techniques for the analysis of satellite images - Services and final products MODULE 2. -Copernicus regulation -Pre-Processing -Processing and validation
Course Language
English
Degrees
Degrees
CIVIL ENGINEERING FOR MITIGATION OF RISK FROM NATURAL HAZARDS
Master’s Degree
2 years
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People
People (2)
Teaching staff
Teaching staff
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