This is an advanced course on Remote Sensing for Earth Observation starting from an intermediate level. The aim of the course is to provide the student with a solid knowledge of the advanced concepts of Remote Sensing, the data produced by the most advanced remote sensing systems, and advanced techniques for data processing. The student will also improved his/her capability for evaluating usefulness of the different types of remotely sensed data in solving a given problem related to the phenomenon observed on the Earth surface.
Course Prerequisites
The student is expected to possess the knowledge consequent to having attended and successfully given the exams of first-level courses on: physics, chemistry, mathematical analysis. Previous basic knowledge of remote sensing concepts would be also be useful.
Teaching Methods
The course is based on classroom lectures, integrated with seminars. Whenever possible, hands-on sessions will be organized on processing of spaceborne datasets.
Assessment Methods
The exam consists of an oral discussion on at least three different topics in the course, aimed at assessing the candidate's level of knowledge and understanding of the subject. The mark is expressed with a number between 18 (barely sufficient) and 30 with honours (excellent).
Texts
W. Emery. A. Camps, "Introduction to Satellite Remote Sensing: Atmosphere, Ocean, Cryosphere and Land Applications", Elsevier, 2017, ISBN: 978-0-12-809254-5.
Contents
The course content will be change according to the latest instrumentation and data sets available in the tyear the course is taught. Basic topic include: a) Radar polarimetry and polarimetric data analysis b) hyperspectral sensors and hyperspectral data processing c) Hybrid machine learning and Quantum computing techniques for Earth Observation.
Course Language
English
More information
The course is suitable for graduate students of the masters course in computer science as well as for graduate students of the master course in electronics. During the course, various chances for additional insights are offered.
