DIGITAL MAPPING AND REMOTE SENSING
Academic year and teacher
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- Versione italiana
- Academic year
- 2022/2023
- Teacher
- ALBERTO PELLEGRINELLI
- Credits
- 9
- Curriculum
- AMBIENTALE
- Didactic period
- Primo Semestre
- SSD
- ICAR/06
Training objectives
- The course provides the basic knowledge on the Digital Cartography, Geographic Information Systems (GIS) and Remote Sensing from Satellite and aircraft / UAV (Unmanned Aerial Vehicle). The main objective is to provide students with the basic knowledge to create, locate, and manage all data mapping for the study and design of any engineering project for the management and monitoring of the territory.
The main acquired knowledge will be:
- Elements of digital cartography, spatial database, GeoDatabase;
- principles of satellite remote sensing to identify semi-automatic ground covers;
- Digital photogrammetry for 3D reconstruction of the territory with images from UAVs.
The main acquired abilities will be:
- Use of map data in GIS software open source
- Use of applications for satellite images processing
- Use of photogrammetric software and open source 3D reconstruction of the area using digital aerial/ UAVs Prerequisites
- The following concepts and the Knowledge provides by the course of “Topografia” (Topography) are mandatory:
Geodesy, surfaces, reference systems and coordinate
- Basic concepts of Statistics and least squares adjustment
- Techniques and instruments for surveying and mapping
- Map Projections Course programme
- The course includes 72 hours of teaching divided in frontal lectures (54 hours) and guided lessons in labs and exercises (18 hours).
Topography and Geodesy (4 hours)
The different reference systems international, national and local; ITRS/F, ETRS/F, planimetric and elevation datum, geoid. The mean sea level.
Mapping and Projection (6 hours)
The main map projections. The international and national mapping systems.
Transformation of datums and coordinate systems. Parameters and software officers.
Digital mapping and Geo-DataBase (12 hours)
Definition of digital mapping, GIS and Geodatabase. Vector data. The structure and size of the files. Topological and geometric models. Relational database. Geoportals and Open source data. Raster data. Georeferencing of images. GRID data.
Physical principles of the Remote Sensing (6 hours)
Law of: Planck, Stefan-Boltzmann, Wien, Kirchhof; blackbody emissivity, spectral signature, classification absolute and relative.
Sensors (8 hours) and Satellites
Optical system and distortions, CCD / CMOS, sensitivity; RGB, CMY, filters; Geometric and radiometric resolution. The main satellites in medium and high resolution. Resolutions satellite. Pushbroom and whiskbroom scanners; UAV systems: characteristics and potential
Image Processing (12 hours)
Statistics Images, Image Enhancement, frequency histograms, Contrast stretching techniques. Geometric correction through polynomial functions 2D and 3D; resampling techniques. Digital photogrammetry: internal orientation and relative. Collinearity equations, Orthorectify.
Classification semiautomatic shell (6 hours)
Effects atmosphere in the absolute classification. Classification techniques related, supervised and unsupervised, Maximum likelihood, ISODATA, K-means; Analysis of Post Classification
Guided exercises in the computer lab (18 hours)
Within hours of laboratory work, students will be guided in the use of the main open source software GIS (QGIS), in the use of digital mapping and spatial database, with data free (OpenData Street, geoportals, etc.) or with data directly acquired by GNSS and photogrammetry survey. Didactic methods
- The course is organized as follows:
- frontal lectures on all the course’s topics
- Lessons in computer lab with open source GIS software for viewing, managing and editing digital mapping, satellite imagery and spatial databases
- Tutorial on surveying (2 hours) on a case study with photogrammetric techniques and with GNSS mapping Learning assessment procedures
- The exam is divided into 2 parts that take place on the same day:
- A detailed discussion on the work of training (individually or in groups) during the course. This part of the exam is designed to test Overcoming this part is critical to the continued consideration.
- A check, through oral questions of theoretical knowledge related to all the topics covered in the classroom. In particular we analyze the ability of the student to analyze and connect various aspects treated during lessons.
The expected time for the entire examination is about 1 hour.
To pass the exam requires a minimum score of 18/30. Reference texts
- Teacher’s handouts.
Specific topics can be further developed in the following texts:
Cambursano: "Cartografia Numerica"Selvini, Guzzetti: "Cartografia Generale, Tematica e Numerica"
P.A. Brivio, G. Lechi, E. Zilioli: "Principi e Metodi di Telerilevamento"; Città Studi Edizioni
