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Geomatics for Urban and Regional Analysis

01RVBQA

A.A. 2022/23

Course Language

Inglese

Course degree

Master of science-level of the Bologna process in Pianificazione Territoriale, Urbanistica E Paesaggistico-Ambientale - Torino

Course structure
Teaching Hours
Lezioni 30
Esercitazioni in aula 30
Teachers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Ajmar Andrea   Professore Associato ICAR/06 30 10 0 0 1
Teaching assistant
Espandi

Context
SSD CFU Activities Area context
ICAR/06 6 B - Caratterizzanti Ingegneria e scienze del territorio
2022/23
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.
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 spatially-related dataset. This set of techniques and tools allow to manage georeferenced spatial data and to generate added value information and can be applied in multiple application areas (e.g., regional and urban planning, natural resources and cultural heritage preservation, climate change, etc). Being geomatics’ techniques and tools applicable in a vast domain of different applications, they represent an ideal environment where to apply data-driven approaches and to develop problem-solving skills in complex cases and by integrating different specific competences. This course aims to: • provide the knowledge of the fundamental concept related to geospatial data (e.g. data types and formats, coordinate reference systems, data precision and accuracy, etc.) • describe advanced principles and techniques for the management and analysis of geo-referenced spatial data exploiting complex data structures such as geodatabases • demonstrate the application of these techniques in different areas through practical examples (e.g. transportation analysis, landscape planning, etc.)
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.
At the end of this course, the student will be able to: • find existing spatially-related dataset and evaluate their main characteristics • create, manage and use ESRI's geodatabase format and its advanced features (Feature Dataset, Mosaic Dataset, Subtype, Attribute Domain, Relationship Class, Network Dataset) • process and extract value added information from remotely sensed images • apply complex Spatial Data Science techniques (e.g. data engineering, prediction models, pattern detection) • analyze complex processes and argue on their appropriateness • communicate issues of territorial relevance in a clear and unambiguous way on original themes and including cartographic outputs
Basic concepts about reference systems.
Knowledge of the basic principles of creating, editing, processing and representing geospatial data
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
Introduction (9 hours): • list and description of the main disciplines connected to geomatics • main types of data (vector, raster) and formats (single files and data containers) • coordinate reference systems • the concepts of precision, accuracy, and nominal scale • main types of cartographic products ESRI's ArcGIS Suite (9 hours): • theoretical and practical presentation of the ESRI user interface • the layer concept and its properties The geodatabase (24 hours): • introduction to geodatabases • the geodatabase according to ESRI • Feature Dataset • Subtype • Attribute domain • Relationship Classes and comparison with joins and relates • Network Dataset with analysis examples (e.g. Route, Service Area, Closest facility, OD matrix analysis) • Raster Dataset and Mosaic Dataset Spatial Data Science methods and techniques (15 hours) • data engineering • prediction and suitability models • pattern detection models Results communication (3 hours)
Sustainable development goal 11
The GIS software used in the course is ArcGIS Pro, latest version. The process for obtaining the software licence will be detailed in the first lesson of the course. ArcGIS Pro system requirements are available here: https://pro.arcgis.com/en/pro-app/latest/get-started/arcgis-pro-system-requirements.htm
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 will be delivered as a strongly integrated mix of lessons and related exercises, i.e. lessons and exercises will be conducted back-to-back in order to immediately showcase the application of the theoretical concepts. Students are strongly invited to use their own hardware during the lessons. Information about the required software and related hardware requirement will be provided at the beginning of the course.
The main text consists of the lecture notes provided by the teacher and slides presented during the lessons.
Materials provided by the teacher Further suggested readings: • Mario A. Gomarasca, Basics of Geomatics, Springer, 2014, ISBN: 9781402090141 • Kenneth Field, Cartography, ESRI Press, 2018, ISBN: 9781589484399 • Ghilani, C. D. and P. R. Wolf, Elementary Surveying: An Introduction to Geomatics - Chapter 3, Hall Publishers, 2014 • ArcGIS Pro Help: https://pro.arcgis.com/en/pro-app/latest/help/main/welcome-to-the-arcgis-pro-app-help.htm
Modalità di esame: Prova orale obbligatoria; Prova scritta in aula tramite PC con l'utilizzo della piattaforma di ateneo;
Exam: Compulsory oral exam; Computer-based written test in class using POLITO platform;
The exam consists of two parts: • The ability to process data thanks to dedicated software, in order to extract added value information. This part is evaluated as vote/30. • Oral/Written examination where is possible to evaluate theoretical aspects acquired during the course. This part is evaluated as vote/30. The final grade is a weighted average of the results of the three previous assessments.
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.
Exam: Compulsory oral exam; Computer-based written test in class using POLITO platform;
The assessment of the learning outcomes will be performed in two steps: • a written examination, using closed and open questions and including the usage of specific software adopted in the course, aimed at verifying students' capacity in finding existing data, structuring a geodatabase, processing different type of geospatial data and displaying the results of the analysis. The written examination will last 90 minutes and it will count for the 50% of the final grade • an oral examination on all the theoretical aspect covered in the course, aimed at verifying the specific level of knowledge acquired, the capacity of analysing complex processes and their results and the capacity to communicate in a clear and unambiguous way. The oral examination will last approx. 30 minutes and it will count for the 50% of the final grade In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.
In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.
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