48
Topography and Cartography
REGGIO DI CALABRIA
Overview
Date/time interval
Syllabus
Course Objectives
In order to achieve the expected results for the course program and the proposed experimentation, the teaching offer divided into different activities pursues the following:
- Qualifying training objectives: competence in the use of GIS, specialization in Photogrammetry and Remote Sensing, and UAV, management of complex projects, resolution of geospatial problems and geomatics in general.
- Specific training objectives (with reference to the theme of the course/workshop): Use of dedicated tools, methods, algorithms and software to achieve the qualifying training objectives.
Course Prerequisites
None.
Teaching Methods
Classroom lectures and application exercises on the main topics of the course.
Assessment Methods
Final oral discussion on the topics covered during the course.
Vote
Descriptors
< 18 insufficient
Fragmentary and superficial knowledge of the contents, errors in applying the concepts, poor presentation.
18 - 20
Sufficient but general knowledge of contents, simple exposition, uncertainties in the application of theoretical concepts.
21 - 23
Appropriate but not in-depth knowledge of content, ability to apply theoretical concepts, ability to present content in a simple way.
24 - 25
Appropriate and extensive knowledge of the contents, reasonable ability to apply knowledge, ability to present contents in an articulated way.
26 - 27
Precise and complete content knowledge, good ability to apply knowledge, analytical skills, clear and correct presentation.
28 - 29
Broad, complete and in-depth knowledge of the contents, good application of the contents, good analysis and synthesis skills, safe and correct presentation.
30
30 with honors
Very broad, complete and in-depth knowledge of the contents, well-established ability to apply the contents, excellent capacity for analysis, synthesis and interdisciplinary connections, mastery of presentation.
Texts
Handouts and materials provided by the teacher.
Contents
1_DESCRIPTION
The course provides the theoretical foundations of digital cartography, photogrammetry, UAV, GIS and remote sensing, linked to the development of applications through the use of dedicated software.
Acquisition of knowledge on:
The course provides the basic knowledge and skills for managing georeferenced territorial data, with particular attention to data acquisition systems from satellites and aerial platforms (UAVs) and their use in the GIS context.
2_COURSE PROGRAMME
Use of GIS
Basic definitions of traditional, thematic, numerical and automatic cartography. Derived cards. Reference surfaces (geoid, ellipsoid). Definition of datum. Projection methods. UTM, Gauss-Boaga and Cassini-Soldner systems. Diffusion of the GIS system and its fields of application. Excursus on the different existing GIS software. Raster format and vector format. Vector data (CAD, SHP, TIN), raster data (definition and characteristics, GRID). Data acquisition methods. Creating a new project. Creation of new shapefiles, dBase and mdb formats, insertion of maps within the project, tools and options for editing vector files (tools design, snapping). Structuring a database. Data types, thematic maps, external links, feature extraction (saving, graphs, statistics). Spatial queries. Calibration and georeferencing. Conversion of the projection system into raster and vector format. Buffering, overlay (intersection, union), proximity queries.
Photogrammetry – Photointerpretation – Computer Vision
Definitions of photogrammetry and photointerpretation. Basic notions of methods and algorithms for photogrammetric survey (terrestrial - aerial - UAV). Analytical photogrammetry, basics of digital photogrammetry. Internal and external, relative and absolute orientation. Photogrammetric rendering. Aerial triangulation. Production of DEM-DTM. Photointerpretation techniques and methodologies for spatial analysis. Techniques and methodologies for Computer Vision.
Remote sensing
Definition of remote sensing, basic principles, tools. Types of sensors for remote sensing (ground, air, satellite) and their characteristics. The main satellites for remote sensing. Exploration techniques. Emphasis techniques. Preprocessing techniques. Remote sensing image acquisition, processing and classification techniques (supervised, unsupervised, heuristic, soft-computing, object-based). HRH. SAR-DEM, InSAR and Spot, Landsat.
UAVs - Drones
Types – Acquisition – Return
Exercise
Creation of an application in a GIS environment (using software such as QuantumGIS). Use of commercial software for the classification (statistical, structural and object-based) of images. Application examples for environmental/territorial management and control.
3_EXPECTED RESULTS
- Knowledge and understanding: Participants will acquire a solid knowledge base in the fields of Geomatics with particular reference to photogrammetry and remote sensing techniques, and the use of Geographic Information Systems and drones.
- Applying knowledge and understanding: Students will be able to apply the knowledge acquired for the processing of geomatic data in general.
- Making judgments: Students will develop the ability to make autonomous decisions in the management of geospatial data. They will be able to critically evaluate the different options available for the collection, analysis and representation of spatial data.
- Communication skills: Students will acquire skills in effectively communicating the results of geospatial analyzes and geomatics methods in general. They will be able to present their conclusions in a clear and understandable way both verbally and through graphical representations.
- Learning skills: The course will provide students with the foundations for continuous learning in the field of geomatics and geospatial data management.
More information
The reception/office hours will be held on Monday from 8:30 to 11:00. According to the teacher's availability, reception can be arranged via email with at least 2 days' notice. The reception is suspended from 20 July to 10 September and from 20 December to 7 January.