Educational offer - University of Padova

Syllabus

Prerequisites:	Knowledge of mathematical analysis, physics and statistics.
Target skills and knowledge:	The goal of the Course is to provide at students the theoretical, practical and mathematical tools necessary to perform and manage data from surveys finalized to the execution, knowledge and monitoring both for territory and infrastructure, and their inclusion in the national and international reference systems. In the Course are deepened the theoretical aspects of the different survey topographic methodologies (classical surveys, GPS-GNSS, photogrammetry, LiDAR - ALS and TLS - laser scanning, SAR) and analyzed practical applications in different fields for the management of environmental risks, the mathematical solutions adopted studying also the achieved accuracies. Moreover, are presented the main topographic instruments that are employed in the context of different methodologies, hinting to the mathematical procedures for data processing and the final precisions.
Examination methods:	Oral examination. Through the oral examamination, the assessment of the learning outcomes of the Course topics by the student is assessed in the best way, together with the ability of the student to solve important practical problems using the 'tools' acquired during the Course.
Assessment criteria:	The evaluation is performed on the basis of the knowledge and abilities acquired by the student, from the ability to identify suitable solutions to solve practical surveys problems, to that demonstrate mastery with the different topics of the Course.
Course unit contents:	Introduction in geomatics: overview on principles of Geodesy, Topography and Cartography; instruments for topographic surveying, GPS-GNSS positioning, processing of data acquired. Principles of photogrammetry and Lidar. The role of photogrammetry in mapping applications (image acquisition and image measurement). Mathematical relationships between image and object space. Direct and inverse problems of projective and similarity coordinate transformations. Conditions of collinearity and coplanarity. Orientation procedures (Interior, Exterior, Relative and Absolute). Measurement and correction of image coordinates. Stereo-model formation and error analysis. Various mathematical models strip and block adjustments. Project planning. Principles of Lidar: TLS and ALS. Time Of Flight versus based on phase measuring systems. Characteristics of instruments. Digital Terrain Modelling. Digital Terrain Modelling (DTM, DEM, DSM, DTMM) concepts and their implementation and applications in geomatics engineering and in the environmental monitoring. Emphasis will be on mathematical techniques used in the acquisition (e.g. photogrammetric data capture, digitized cartographic data sources capturing, other methods: InSAR, and laser altimeters) processing, storage, manipulation, and applications of DTM. Models of DTM (Grids, Contours, and TINS). Surface representation from point data using moving averages, linear projection, and Kriging techniques. Grid resampling methods and search algorithms used in gridding and interpolation. DTM derivatives (slope maps, aspect maps, viewsheds, and watershed). Applications of DTM in volume computation, orthophotos and drainage networks. High-precisions surveys. Case studies in high precision surveys in the field of the monitoring of the environmental risks. Monitoring of buildings and infrastructure damaged. Monitoring of landslides, volcanic areas, subsidence, coastal erosion and evaluation of hydro-geological risks with geomatics data. Multi-temporal and multi-resolution spatial representation and analysis.
Planned learning activities and teaching methods:	Frontal lessons. Presentation and description of the topographic instruments and examples of measurement with the involvement of the students.
Additional notes about suggested reading:	Lecture notes.
Textbooks (and optional supplementary readings)