Principle of remote sensing and modelling in forestry
Semester Course: 3rd
Credits: 6 ECTS
Lecturers: Prof. Dario Papale
Web Site: http://www.unitus.it/en/dipartimento/dibaf/piano-di-studi2/articolo/inse...
- Objectives
This course provides students with a conceptual and practical understanding of the application of statistic in forest research, with a focus on the way data are gathered and analyzed in the field of Sustainable Forest Management (SFM).
- Programme topics
The class and lab. activities lectures will be focused on the following groups of topics/abilities:- - Introduction to the Remote Sensing concept
- - The electromagnetic energy and most important equations
- - Reflectance curves
- - Effect of the vegetation characteristics on the reflectance
- - Remote sensing platforms and sensors
- - Digital images processing
- - Digital images visualization
- - Enhancement of RS images
- - Radiometric corrections
- - Geometric corrections
- - Atmospheric corrections
- - Vegetation indexes and their use, fluorescence
- - Remote sensing and modeling
- - Model optimization and validation
- - Supervised and Unsupervised classifications
- - Artificial Neural Networks
- - Practical applications
- Assessment
Knowledge of the theory and ability to apply the methods learned will be evaluated trough complex practical cases, where a clear knowledge of remote sensing basis, concepts and tools available is needed.
