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PORTALE DELLA DIDATTICA

Geomatics for Urban and Regional Analysis

01RVBQA

A.A. 2020/21

Course Language

Inglese

Course degree

Master of science-level of the Bologna process in Territorial, Urban, Environmental And Landscape Planning - Torino

Course structure
Teaching Hours
Lezioni 30
Esercitazioni in aula 30
Tutoraggio 20
Teachers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Boccardo Piero Professore Ordinario ICAR/06 15 15 0 0 4
Teaching assistant
Espandi

Context
SSD CFU Activities Area context
ICAR/06 6 B - Caratterizzanti Ingegneria e scienze del territorio
2020/21
The course aims to describe the instruments, methods and operating procedures for the use of Geomatics for regional and urban planning, natural resources and climate change domains. Geomatics is intended as a technical and methodological approach able to acquire, archive, model, process and represent georeferenced data suitable for a correct representation and management of environmental issues. Starting with vector and raster data (also available in an open source environment), the course aims to process digital images (mainly acquired by satellite platforms) and mapping data suitable to implement Geographical Information Systems (GIS) at different representation scales.
The course aims to describe the instruments, methods and operating procedures for the use of Geomatics for regional and urban planning, natural resources and climate change domains. Geomatics is intended as a technical and methodological approach able to acquire, archive, model, process and represent georeferenced data suitable for a correct representation and management of environmental issues. Starting with vector and raster data (also available in an open source environment), the course aims to process digital images (mainly acquired by satellite platforms) and mapping data suitable to implement Geographical Information Systems (GIS) at different representation scales.
In this course, the students will learn: • the technological aspects related to remote sensing, digital maps, geodatabses, GIS; • the theoretical aspects related to the use of satellite images to extract thematic and spatial information; • how to access and process available free and open source data; • a critical analysis of the adopted procedures and the related outputs. After completing the course, the students will be able to: • process and extract value added information from satellite images; • process and extract value added information from vector data; • fully design and implement a Geodatabase exploiting a commercial software package (ESRI). The practical exercises involve a personal evaluation of the overall geodatabase design and implementation workflow, with the aim to extract valuable information for regional and urban planning, environmental issues and climate change domains.
In this course, the students will learn: • the technological aspects related to remote sensing, digital maps, geodatabses, GIS; • the theoretical aspects related to the use of satellite images to extract thematic and spatial information; • how to access and process available free and open source data; • a critical analysis of the adopted procedures and the related outputs. After completing the course, the students will be able to: • process and extract value added information from satellite images; • process and extract value added information from vector data; • fully design and implement a Geodatabase exploiting a commercial software package (ESRI). The practical exercises involve a personal evaluation of the overall geodatabase design and implementation workflow, with the aim to extract valuable information for regional and urban planning, environmental issues and climate change domains.
Basic concepts about reference systems.
None
Acquisition operational schema Emission laws and external source of energy, Interaction with atmospheric layers Interaction with physical surfaces Density histograms, slicing and scatter plots Basics of colorimetry Digital filtering Unsupervised classifications Supervised classification Confusion matrix Operational satellites and sensors Geometric, radiometric, spectral and temporal resolutions Comprehensive lab devoted to an environmental operational analysis Basics on GIS: Definition of GIS and LIS, the structure of GIS, data types, geometrical data (raster, vector), descriptive data (attributes), descriptor data (metadata), management software tools (commercial and Open Source). A GIS data management software (ArcGIS), some example of geometrical data, attributes, descriptor, layer symbology, thematic mapping, shape files. World Reference system (WRS) for world mapping: movement/deformations of the Earth, static and dynamic WRS, geographic coordinates, cartographic coordinates, cartographic deformations. World reference system (WRS) and cartographic coordinate system in ArcGIS, projection file (prj), world file (.iiw) for raster georeferencing, Coordinate transformation, accuracy of ArcGIS transformation, georeferencing data (raster and vector) with ArcGIS. Digital mapping: definition of digital map, coordinates and coding, nominal scale, level of details, precision/accuracy, kinds of digital map, horizontal/vertical contents Digital mapping: coding system (old, INSPIRE), geometrical and topological structure of map, data file format Data base design: the procedure for DB design, external model, conceptual model (entity-relationships), logical model (relational), physical model, the problem of complex data and multiple data Attributes and DB in ArcGIS, practical exercises assignment for each team DTM/DSM: definition of Digital Terrain Model (DTM) and Digital Surface Model (DSM) dense models, National and International standards, information content, open elevation model (SRDTM) Basic parts of GIS prototypes Spatial geoprocessing: usage of DTM/DSM, interpolation, resampling, surface analysis (slope, aspect, …), basins, 3D spatial analyst in ArcGIS using DTM/DSM for a 3D GIS production Spatial geoprocessing: visibility, sections/profile extraction, buffer, extract, overlay, proximity, statistics Verification of practical exercices for each team Acquisition of georeferenced data: direct survey, fotogrammetry and drone, paper map digitalization, student team of POLITO
Acquisition operational schema Emission laws and external source of energy, Interaction with atmospheric layers Interaction with physical surfaces Density histograms, slicing and scatter plots Basics of colorimetry Digital filtering Unsupervised classifications Supervised classification Confusion matrix Operational satellites and sensors Geometric, radiometric, spectral and temporal resolutions Comprehensive lab devoted to an environmental operational analysis Basics on GIS: Definition of GIS and LIS, the structure of GIS, data types, geometrical data (raster, vector), descriptive data (attributes), descriptor data (metadata), management software tools (commercial and Open Source). A GIS data management software (ArcGIS), some example of geometrical data, attributes, descriptor, layer symbology, thematic mapping, shape files. World Reference system (WRS) for world mapping: movement/deformations of the Earth, static and dynamic WRS, geographic coordinates, cartographic coordinates, cartographic deformations. World reference system (WRS) and cartographic coordinate system in ArcGIS, projection file (prj), world file (.iiw) for raster georeferencing, Coordinate transformation, accuracy of ArcGIS transformation, georeferencing data (raster and vector) with ArcGIS. Digital mapping: definition of digital map, coordinates and coding, nominal scale, level of details, precision/accuracy, kinds of digital map, horizontal/vertical contents Digital mapping: coding system (old, INSPIRE), geometrical and topological structure of map, data file format Data base design: the procedure for DB design, external model, conceptual model (entity-relationships), logical model (relational), physical model, the problem of complex data and multiple data Attributes and DB in ArcGIS, practical exercises assignment for each team DTM/DSM: definition of Digital Terrain Model (DTM) and Digital Surface Model (DSM) dense models, National and International standards, information content, open elevation model (SRDTM) Basic parts of GIS prototypes Spatial geoprocessing: usage of DTM/DSM, interpolation, resampling, surface analysis (slope, aspect, …), basins, 3D spatial analyst in ArcGIS using DTM/DSM for a 3D GIS production Spatial geoprocessing: visibility, sections/profile extraction, buffer, extract, overlay, proximity, statistics Verification of practical exercices for each team Acquisition of georeferenced data: direct survey, fotogrammetry and drone, paper map digitalization.
Sustainable development goal 11
Sustainable development goal 11
The course in organized in theoretical classes and laboratories devoted to the usage of specific geomatics software for remote sensing and digital mapping processing.
The course in organized in theoretical classes and laboratories devoted to the usage of specific geomatics software for remote sensing and digital mapping processing. In the labs, the assignments will be faced individually and/or by small groups
The main text consists of the lecture notes provided by the teacher and slides presented during the lessons.
The main text consists of the lecture notes provided by the teacher and slides presented during the lessons. All slides and video concerning theoretical lectures and Labs will be available on the portal as soon as the course will officially begin.
Modalità di esame: Prova orale obbligatoria;
The exam will consist of theoretical and practice oriented questions aiming to verity stedent's preparation. The technical operating procedures through video communication tools must comply with the provisions of R.D. 217 of 28 February 2020: •use of a video communication system chosen by professors that in order to check, monitor and watch students during the exam; •facial recognition of students by means of an identity document and comparison with the photograph in the university database; •presence of a witness from outside the examination board (e.g. another student); •declaration by students that they did not use any tools and that there were no support persons on the premises to support them during the exam. In order to take part in the exam, students must be equipped with adequate means: personal computer with a webcam or tablet, browser, network connection suitable for videoconferencing.
Exam: Compulsory oral exam;
The exam will consist of theoretical and practice oriented questions aiming to verity student's preparation. Final exam will be split into two parts: 1. Theory, regarding GIS and Remote Sensing topics, in which every single student will be answer individually to 3 different questions. This part will last for around 30 minutes; 2. Lab, in which every single student will discuss individually a comprehensive exercise, assigned before the end of the course. This part will last for around 30 minutes. The two parts will be evaluated in thirtieths, and the final grade will be the mean value of the two. The two parts can be taken also in separate dates according to student's praparation.
Modalità di esame: Prova orale obbligatoria;
The exam will consist of theoretical and practice oriented questions aiming to verity stedent's preparation. The technical operating procedures through video communication tools must comply with the provisions of R.D. 217 of 28 February 2020: •use of a video communication system chosen by professors that in order to check, monitor and watch students during the exam; •facial recognition of students by means of an identity document and comparison with the photograph in the university database; •presence of a witness from outside the examination board (e.g. another student); •declaration by students that they did not use any tools and that there were no support persons on the premises to support them during the exam. In order to take part in the exam, students must be equipped with adequate means: personal computer with a webcam or tablet, browser, network connection suitable for videoconferencing.
Exam: Compulsory oral exam;
The exam will consist of theoretical and practice oriented questions aiming to verity student's preparation. Final exam will be split into two parts: 1. Theory, regarding GIS and Remote Sensing topics, in which every single student will be answer individually to 3 different questions. This part will last for around 30 minutes; 2. Lab, in which every single student will discuss individually a comprehensive exercise, assigned before the end of the course. This part will last for around 30 minutes. The two parts will be evaluated in thirtieths, and the final grade will be the mean value of the two. The two parts can be taken also in separate dates according to student's praparation.


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