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.
Basic concepts about reference systems.
Acquisition operational schema
Emission laws and external source of energy, Interaction with atmospheric layers
Introduction to Envi; multispectral image display; image pre-processing
Interaction with physical surfaces
Density histograms, slicing and scatter plots
Basics of colorimetry
Region of Interest (ROI), statistics of the extracted samples
Image processing basics
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, the kind of data, 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
The course in organizaed in theoretical classes and laboratories devoted to the usage of specific geomatics software for remote sensing and digital mapping processing.
The main text consists of the lecture notes provided by the teacher and slides presented during the lessons.
Modalità di esame: prova di laboratorio; elaborato scritto individuale;
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.