The use of digital data for mapping ground, underground and underwater properties and systems is of paramount importance in the design, planning, and management of land and environment. The course provides methodological competences and practical skills on survey methods based on topographical and geophysical techniques. Survey design and execution, data processing, interpretation , data visualization, metrical representation and mapping will be learned through a mix of class hours, field work, team assignment and computer lab exercises. The fundamentals of statistics and signal processing required for methodological and practical implementations will be also provided.

The expected learning outcomes are intended to provide the students both professional and academic skills. The students will reach competence on environment description, mapping and representation both on the ground, in the subsurface and underwater using digital topographic and geophysical data. The main expected learning outcomes are: Survey planning and design – capability of selecting appropriate methods, designing optimal sampling, and plan data acquisition and processing and interpretation strategies for different engineering problems Tools and equipment – competences on survey equipment and technologies and ability to use them (e.g. leveling, total station, GNSS, GIS) Field acquisition – capability of managing and executing field acquisition of topographical and geophysical data Survey data processing – ability to process field topographic and geophysical data using standard or specifically implemented processing tools making use of statistical analysis and signal processing techniques; Modeling and inversion techniques – ability to implement simple modeling tools or to run codes for more complex modeling of topographic and geophysical data and capability to handle inversion methods. Spatial data representation and mapping - metrical representation of the objects and phenomena, using mapping techniques and digital data.

Physics – reference systems, units International System and conversions, kinematics, dynamics, wave propagation, EM field; Math: continuous and discrete functions; basic coding skills (Matlab/Python)

Introduction to terrestrial survey methods (5 hours) Statistical data analysis and signal processing (15 hours) Geophysical survey methods: (20 hours) • Seismic wave propagation • Seismic borehole methods • Seismic refraction tomography • Seismic surface wave methods • Resistivity and electric field interaction with subsurface • Electrical Resistivity Tomography Topographic survey methods (15 hours) • Levelling • Total station • GNSS for static and real time positioning Field acquisition techniques: equipment, survey planning and design (10 hours) Geodesy and reference systems (6 hours) Data processing techniques (10 hours) Mapping and digital data (cartography) (9 hours) Spatial data visualization and interpretation techniques (10 hours)

The course has a large part of learning by doing activities concerning field data acquisition and data processing and interpretation is 100 hour long and it is organised as follows: 55 hours - lectures on theoretical and methodological aspects 15 hours – field work 15 hours – computer lab data processing 15 hours – team work for data processing

Material available on the web (portale della didattica): lecture slides, limited portions of reference books, collection of papers.

Modalità di esame: Prova scritta (in aula); Prova orale obbligatoria; Elaborato scritto prodotto in gruppo;

Exam: Written test; Compulsory oral exam; Group essay;

... A preliminary written test is aimed at assessing the competences on the principles and fundamentals of methods and must be passed to access oral exam. Oral exam will consist on the discussion of the results presented in the team report and the strategies for processing and interpretation of the data. The oral exam is aimed at assessing the skills on data processing and interpretation including simplified modeling and processing tool use. The written test has a maximum mark of 10, the team work report has a maximum mark of 5, the oral exam has a maximum mark of 15.

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.