Definitions. ICT technologies. Relational databases. Global Navigation Satellite Systems (GNSS). Google Earth Engine. DTM and DTM analysis for precision modelling. Laser Scanning systems and software for data processing and analysis (LiDAR). Introduction to the use of R software for spatial data modelling. Exercises in the laboratory and field works.
Knolewdge acquired: survey techniques and methods of high-precision spatial data analysis for forestry applications.
Competence acquired: forest survey techniques, methods for forest modelling and for forest variables estimation, use of programming languages.
Skills acquired (at the end of the course): use of instruments and software for data acquisition, processing, and analysis of very high spatial resolution for forest modelling.
Prerequisites
Recommended courses: forest management, forest inventory, forest management and technology
Teaching Methods
Credits: 6 (48 hours)
Total hour for lectures: 24
Total hours for training (labs and field works): 24
Further information
Frequency to lectures, practice and lab: highly recommended
Type of Assessment
Oral for evaluating the theoretical knowledge and the results of the labs and field works
Course program
Definitions and introduction to precision forestry. Introduction to ICT technologies. Databases and relational databases. Global Navigation Satellite Systems (GNSS); system components; data acquisition; system errors. The Google Earth Engine system; use of Google Earth Engine for the production of vegetation indices; use of Google Earth Engine for forest disturbance mapping. Digital Terrain Model (DTM) and DTM analysis for flow accumulation modelling. Laser Scanning systems (LiDAR) and platforms for data acquisition; use of Lastools software and other open source software for LiDAR data visualization and analysis. Introduction to the use of the R software; use of R software for spatial data analysis and modelling. Exercises in the laboratory and field works: data acquisition with GNSS systems, terrestrial laser scanning systems, and drones, data processing and analysis.