2023
Remote Sensing
Name: Remote Sensing
Code: ERU13357L
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Geography
Teaching languages: Portuguese
Languages of tutoring support: Portuguese, English, Spanish
Regime de Frequência: Presencial
Sustainable Development Goals
Learning Goals
To obtain knowledge of the theoretical concepts of remote sensing; to develop practical skills in the interpretation and digital processing of satellite images and their connection with the geographic databases. To know the behavior of the natural surfaces with electromagnetic radiation, namely through the study of the respective spectral signatures. Satellite image classification, using differente methods, in order to obtain different types of information on the terrestrial surface, at different scales. Realize the importance of new technologies in the development of modern societies.
Contents
I.Fundamentals of Remote Sensing
1.1.Origin of Earth observation data 1.2.Electromagnetic Radiation/Electromagnetic Spectrum 1.3.Laws of thermal radiation, 1.4.Interaction with the atmosphere and image correction; 1.5.Interaction with the Earth's surface 1.6.Active and passive sensors
II.Characteristics of images
2.1.Concept of resolution (spectral, spatial, temporal, radiometric)
III.Remote Sensing systems
3.1.Platforms and their characteristics 3.2.Components and orbits of satellites; 3.3.Sensors and their characteristics; 3.5.Applications and characteristics of its satellites and optical sensors
IV.Processing and image analysis
4.1.Visual interpretation, 4.2. Pre-processing (geometric and radiometric corrections; Ortho-rectification image), 4.3. Transformation of the data (Vegetation indices, principal component analysis; Tasseled Cap Transformation), 4.4. multispectral segmentation; 4.5. Classification imaging
1.1.Origin of Earth observation data 1.2.Electromagnetic Radiation/Electromagnetic Spectrum 1.3.Laws of thermal radiation, 1.4.Interaction with the atmosphere and image correction; 1.5.Interaction with the Earth's surface 1.6.Active and passive sensors
II.Characteristics of images
2.1.Concept of resolution (spectral, spatial, temporal, radiometric)
III.Remote Sensing systems
3.1.Platforms and their characteristics 3.2.Components and orbits of satellites; 3.3.Sensors and their characteristics; 3.5.Applications and characteristics of its satellites and optical sensors
IV.Processing and image analysis
4.1.Visual interpretation, 4.2. Pre-processing (geometric and radiometric corrections; Ortho-rectification image), 4.3. Transformation of the data (Vegetation indices, principal component analysis; Tasseled Cap Transformation), 4.4. multispectral segmentation; 4.5. Classification imaging
Teaching Methods
Network: Introduction of the fundamental theoretical concepts through resources available in Moodle (Wiki, texts to support the exercises performed in class, PowerPoint presentations, websites, etc.). Student work will be guided by specific objectives to be achieved in different contents. Will also be developed for collaborative activities in Moodle.
Work in classroom: acquire knowledge of the theoretical fundaments of remote sensing. The skills are acquired in processing satellite images with a resolution of practical exercises in image processing program.
Assessment: continuous assessment with performance of frequency theoretical and practical as well as carrying out practical work throughout the semester.
Work in classroom: acquire knowledge of the theoretical fundaments of remote sensing. The skills are acquired in processing satellite images with a resolution of practical exercises in image processing program.
Assessment: continuous assessment with performance of frequency theoretical and practical as well as carrying out practical work throughout the semester.
Teaching Staff
