Guida degli insegnamenti

Syllabus

Partially translatedTradotto parzialmente
[W000786] - GEOMATICS ENGINEERINGGEOMATICS ENGINEERING
Eva Savina MALINVERNI
Lingua di erogazione: INGLESELessons taught in: ENGLISH
Laurea Magistrale - [IM14] ENVIRONMENTAL ENGINEERING Master Degree (2 years) - [IM14] INGEGNERIA PER L'AMBIENTE E IL TERRITORIO
Anno di corsoDegree programme year : 2 - Primo Semestre
Anno offertaAcademic year: 2020-2021
Anno regolamentoAnno regolamento: 2019-2020
Obbligatorio
Crediti: 9
Ore di lezioneTeaching hours: 72
TipologiaType: B - Caratterizzante
Settore disciplinareAcademic discipline: ICAR/06 - TOPOGRAFIA E CARTOGRAFIA

LINGUA INSEGNAMENTO LANGUAGE

INGLESE

English


PREREQUISITI PREREQUISITES

Surveying skills

Surveying skills


MODALITÀ DI SVOLGIMENTO DEL CORSO DEVELOPMENT OF THE COURSE

Course 72 hours:
- Lectures (54 hours)
- Classroom exercises (18 hours)

Course 72 hours:
- Lectures (54 hours)
- Classroom exercises (18 hours)


RISULTATI DI APPRENDIMENTO ATTESI LEARNING OUTCOMES
Knowledge and Understanding.

The course enables students to acquire adequate knowledge to acquire, process, analyze, manage, enhance and take under control the environment and its resources. In particular, it is possible to deepen the main survey and mapping methods in relation to the knowledge of cartography, photogrammetry and remote sensing, this is useful for environment analysis and monitoring performed by means of GIS (Geographic Information Systems ) tools, at different levels of scale


Capacity to apply Knowledge and Understanding.

The course gives to the student the ability to organize, in self manner, a technical work or a research. In particular the course provides some skills in order to choose the most advanced and appropriate tools for survey, process, analysis and management of spatial data. Therefore the student must be able to use technical and software tools necessary to make these procedures by himself to plan environment management at different spatial scales.


Transversal Skills.

The teaching of the Geomatics Engineering gives important skills for measuring, georeferencing, managing, analyzing, visualizing and publishing spatial and time varying information, with a particular concern to environmental data. The focus is on Remote Sensing techniques and GIS procedures.


Knowledge and Understanding.

The course enables students to acquire adequate knowledge to acquire, process, analyze, manage, enhance and take under control the environment and its resources. In particular, it is possible to deepen the main survey and mapping methods in relation to the knowledge of cartography, photogrammetry and remote sensing, this is useful for environment analysis and monitoring performed by means of GIS (Geographic Information Systems ) tools, at different levels of scale


Capacity to apply Knowledge and Understanding.

The course gives to the student the ability to organize, in self manner, a technical work or a research. In particular the course provides some skills in order to choose the most advanced and appropriate tools for survey, process, analysis and management of spatial data. Therefore the student must be able to use technical and software tools necessary to make these procedures by himself to plan environment management at different spatial scales.


Transversal Skills.

The teaching of the Geomatics Engineering gives important skills for measuring, georeferencing, managing, analyzing, visualizing and publishing spatial and time varying information, with a particular concern to environmental data. The focus is on Remote Sensing techniques and GIS procedures.



PROGRAMMA PROGRAM

Lectures
• Basic Geodetic and Cartographic principles: Reference surfaces. Reference systems. National and International Official Cartography. Management and Representation of Digital Mapping (vector and raster products). Geodetic positioning system based on GPS.
• Digital Photogrammetry: Sensors (Digital cameras, UAV, etc.). Methods and algorithms for automatic processing to obtain digital mapping products (maps, orthoimages, DTM).
• Remote Sensing: Data acquisition systems and sensors. Geometric and Radiometric corrections.
• Unsupervised and Supervised image classification. Pixel based, object and hybrid mapping. Thematic map generation (for example LU/LC mapping).
• Geographic Information Systems (GIS): Basic concepts, data analysis, methods and tools.
• Database Management System (relational databases). Spatial data features (raster, geometric/topologic vector model) and the use of georeferenceable information (thematic data). Applications: exploring data, spatial statistics, geostatistics, raster database management system, transformation from raster to vector and viceversa. The Geospatial Web.
Classroom exercises
• Pratical exercises for the use of Geomatics tools for acquisition and management of the data.
• Focus on the new generation surveying instruments (UAV and HRV remote sensors).
• Data management, organization and processing by GIS, following geometrical and topological requirements to perform analysis, queries and dynamic simulations.
• Production of a dedicated GIS related to environmental topics. The enrichment with thematic features is mandatory depending on the scopes of the cartography output.

Lectures
• Basic Geodetic and Cartographic principles: Reference surfaces. Reference systems. National and International Official Cartography. Management and Representation of Digital Mapping (vector and raster products). Geodetic positioning system based on GPS.
• Digital Photogrammetry: Sensors (Digital cameras, UAV, etc.). Methods and algorithms for automatic processing to obtain digital mapping products (maps, orthoimages, DTM).
• Remote Sensing: Data acquisition systems and sensors. Geometric and Radiometric corrections.
• Unsupervised and Supervised image classification. Pixel based, object and hybrid mapping. Thematic map generation (for example LU/LC mapping).
• Geographic Information Systems (GIS): Basic concepts, data analysis, methods and tools.
• Database Management System (relational databases). Spatial data features (raster, geometric/topologic vector model) and the use of georeferenceable information (thematic data). Applications: exploring data, spatial statistics, geostatistics, raster database management system, transformation from raster to vector and viceversa. The Geospatial Web.
Classroom exercises
• Pratical exercises for the use of Geomatics tools for acquisition and management of the data.
• Focus on the new generation surveying instruments (UAV and HRV remote sensors).
• Data management, organization and processing by GIS, following geometrical and topological requirements to perform analysis, queries and dynamic simulations.
• Production of a dedicated GIS related to environmental topics. The enrichment with thematic features is mandatory depending on the scopes of the cartography output.


MODALITÀ DI SVOLGIMENTO DELL'ESAME DEVELOPMENT OF THE EXAMINATION
Learning Evaluation Methods.

The evaluation of the learning level of the student consists on the oral test: the discussion interests on one or more topics showed in the class with a deep description of one of applied topic


Learning Evaluation Criteria.

To pass in positive way the exam, the student must prove, by means of the oral test and of the production of a final essay, to have well learned the concepts exposed in the class. Each oral test weighs 80% on the learning assessment and on the final mark and will consists of three questions, which maximum evaluation will be achieved showing a deep knowledge, exposed with complete and accurate use of the technical language.
Each final essay will weighs 20% on the final marks, and will consists on a brief written description of the work carried out, together with the realization in output of a final product (thematic maps, cartography etc)


Learning Measurement Criteria.

The exam is not fully passed until the student answers at least 2 of the 3 questions solved in positive way. The final essay production can improve the final score. The final mark is attributed in thirtieths. Successful completion of the examination will lead to grades ranging from 18 to 30 “cum laude”.


Final Mark Allocation Criteria.

To pass the exam in positive way, the student must achieve at least the sufficiency, equal to 18 points, in each of the oral exam described before. The maximum evaluation is reached showing a deep knowledge of the topics discussed during the course and the top marks is obtained performing the oral examination in correct and complete way, beside a correct production of the final essay. The degree of 30 “cum laude” is attributed to students which demonstrate a particular smart and clever exposure.


Learning Evaluation Methods.

The evaluation of the learning level of the student consists on the oral test: the discussion interests on one or more topics showed in the class with a deep description of one of applied topic


Learning Evaluation Criteria.

To pass in positive way the exam, the student must prove, by means of the oral test and of the production of a final essay, to have well learned the concepts exposed in the class. Each oral test weighs 80% on the learning assessment and on the final mark and will consists of three questions, which maximum evaluation will be achieved showing a deep knowledge, exposed with complete and accurate use of the technical language.
Each final essay will weighs 20% on the final marks, and will consists on a brief written description of the work carried out, together with the realization in output of a final product (thematic maps, cartography etc)


Learning Measurement Criteria.

The exam is not fully passed until the student answers at least 2 of the 3 questions solved in positive way. The final essay production can improve the final score. The final mark is attributed in thirtieths. Successful completion of the examination will lead to grades ranging from 18 to 30 “cum laude”.


Final Mark Allocation Criteria.

To pass the exam in positive way, the student must achieve at least the sufficiency, equal to 18 points, in each of the oral exam described before. The maximum evaluation is reached showing a deep knowledge of the topics discussed during the course and the top marks is obtained performing the oral examination in correct and complete way, beside a correct production of the final essay. The degree of 30 “cum laude” is attributed to students which demonstrate a particular smart and clever exposure.



TESTI CONSIGLIATI RECOMMENDED READING

M. A. Gomarasca. “Basics of Geomatics”, © Springer Science+Business Media B.V. 2009
P. P. Mathieu, C. Aubrecht. “Earth Observation Open Science and Innovation”, © Springer, ISSI scientific report series, 15. 2018

Link for the Moodle platform:https://learn.univpm.it/

M. A. Gomarasca. “Basics of Geomatics”, © Springer Science+Business Media B.V. 2009
P. P. Mathieu, C. Aubrecht. “Earth Observation Open Science and Innovation”, © Springer, ISSI scientific report series, 15. 2018

Link for the Moodle platform:https://learn.univpm.it/


E-LEARNING E-LEARNING

NO

NO


Scheda insegnamento erogato nell’A.A. 2020-2021
Le informazioni contenute nella presente scheda assumono carattere definitivo solo a partire dall'A.A. di effettiva erogazione dell'insegnamento.
Academic year 2020-2021

 


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