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Remote Sensing

2011-12 Academic year

Lecturer: Paolo Ettore Gamba  

Course name: Remote Sensing
Course code: 502517
Degree course: Ingegneria Meccatronica
Disciplinary field of science: ING-INF/03
University credits: CFU 6
Course website: http://tlclab.unipv.it/sito_tlc/downloads.do?catId=Tele
rilevamento+Amb.

Specific course objectives

Basic knowledge of the types of images obtained through remote sensing, and the information useful for the study of environment and land that can be extracted from each of them. Ability to understand the usefulness of various remote sensing images to solve an environmental problem. Elementary skills of interpretation of remotely sensed images.

Course programme

Physical principles of remote sensing
Propagation, reflection and refraction of electromagnetic waves in the atmosphere. Interaction between electromagnetic fields and the Earth surface: absorption, emission, refraction and reflection.Spectral characteristics of some materials.

Digital remotely sensed images
Characteristics of the images recorded by various sensors. Concept of spectral and spatial resolution.

Classification
Image classification. Unsupervised and supervised classification. Classification accuracy. Multitemporal classification.

Multispectral remote sensing
Scanning devices in the optical domain: principles and data extraction. Problems and methods to recover from radiometric, geometric and atmospheric distortions.

Radar systems
SAR and Interferometric SAR: principles and applications.

Course entry requirements

Basic knowledge of physics.

Course structure and teaching

Lectures (hours/year in lecture theatre): 32
Practical class (hours/year in lecture theatre): 10
Practicals / Workshops (hours/year in lecture theatre): 30

Suggested reading materials

thomas M. Lillesand, Ralph W. Kiefer. remote Sensing and Image Interpretation. john Wiley & Sons, 1999..

Testing and exams

The students will be required to prepare a project on a specific topic and present it reporting about the methodology, the algorithm and the results. Evaluation will be based on the written report and the presentation as well as the results of the project.

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