Caricamento in corso...
Dati geografici liberi
01TRERS
A.A. 2023/24
Course Language
Inglese
Degree programme(s)
Doctorate Research in Urban And Regional Development - Torino
Course structure
| Teaching | Hours |
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Lecturers
| Teacher | Status | SSD | h.Les | h.Ex | h.Lab | h.Tut | Years teaching |
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Co-lectures
Context
| SSD | CFU | Activities | Area context |
|---|---|---|---|
| *** N/A *** |
This PhD course is part of the thematic path "Techniques and Technologies for a Spatial-based Sustainable Development" of the PhD programme in Urban and Regional Development (URD).
The course aims to present and critically analyze open source geospatial data useful in the different territorial and environmental application domains. In addition to their brief description by class, they will be provided with synthetic keys for their analysis, to better understand the possible fields of application and a reference to the open source tools on which to display, archive, manage and process them. At the end of the course, useful elements will also be provided for a semantic analysis based on specific ontologies. This PhD course is part of the thematic path "Techniques and Technologies for a Spatial-based Sustainable Development" of the PhD programme in Urban and Regional Development (URD)
None
• Introduction to geospatial data. Short description of reference systems and map scale. Description of reference and thematic datasets, vector and raster datasets, GIS models and metadata (1.5 hours);
• Data Integrity, Positional Accuracy, Thematic Accuracy and Completeness. Data type: Boundaries; Hydrography; Settlements; Transport infrastructure; Elevation; Population and census; Land cover/use. (1.5 hours)
• Open Source GIS. Geospatial data and metadata repository. Raster and vector visualization. Tools for queries, analysis and data processing. (3 hours)
• Satellite remotely sensed data. Active and passive sensors; interaction with atmosphere: radiometric calibration; interaction with ground surface: georeferencing models; concept of resolution: geometric, radiometric, spectral and temporal; metadata availability (3 hours);
• Sentinel satellite constellation, Landsat series, Modis. In situ data. Copernicus services: land, marine, atmosphere, climate change, emergency and security (3 hours)
• Spatial planning in the big data revolution: big/open data and spatial ontologies for resilient cities (3 hours)
Mixed mode
Written report presentation
P.D.2-2 - March