Digital maps, geographical data models, data structure and format. Principles of remote sensing. Data acquisition. Georeferencing. Coordinate transformation systems. Photointerpretation. Data editing. Database management. Spatial analysis. Laying out and printing maps. Use of GIS software and GPS instrument.
Biallo G., 2002. Introduzione ai Sistemi Informativi Geografici. MondoGIS.
Gomarasca M.A., 2004. Elementi di Geomatica. Associazione Italiana di Telerilevamento.
Chirici G., Corona P., 2006. Utilizzo di immagini satellitari ad alta risoluzione nel rilevamento delle risorse forestali. ARACNE Editrice S.r.l., Roma.
Gomarasca M.A., 2009. Basics of Geomatics. Springer.
Teacher’s training aids on course arguments
Learning Objectives
Knolewdge acquired:
geographical data models, spatial database management, principles of remote sensing, basal knowledge for remote sensing data analyses
Competence acquired (at the end of the course):
basal knowledge needed for acquisition, management and production of digital maps for forestry and environmental purposes
Skills acquired (at the end of the course):
use of software for digital map production, georeferencing, photointerpretation, editing, database management, layout
Prerequisites
Courses recommended: Costruzioni, rilievo e rappresentazione del territorio
Teaching Methods
CFU: 6
Total hour for lectures: 24
Total hours for training (laboratory): 24
Further information
Frequency of lectures, practice and lab: Although non compulsory, they are strongly recommended
Teaching tools
PC, Video projector, labs
Type of Assessment
Oral examination
Course program
Digital maps, geographical data models, data structure and format. Principles of remote sensing. Definitions. The Remote Sensing process. The electromagnetic spectrum. The reflectance characteristics of targets. Main characteristics of sensors (spatial resolution, spectral resolution, radiometric resolution, temporal resolution). Creating digital maps with specific software (GIS, CAD). Data acquisition: thematic maps, GPS, remote sensing, main data providers. Georeferencing. Coordinate transformation systems. Photointerpretation. Data editing. Database management. Spatial analysis. Laying out and printing maps.
In laboratory, GIS software and GPS instrument will be applied by students to a case study.