2023
Remote Sensing and Environmental Satellites
Name: Remote Sensing and Environmental Satellites
Code: FIS10348M
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Physics
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Regime de Frequência: B-learning
Presentation
This curricular unit aims to contribute to personal and scientific training, in general, and in particular to provide students with a comprehensive knowledge regarding Remote Sensing and Environmental Satellites, both in the theoretical and in the applications field.
Sustainable Development Goals
Learning Goals
- Know and understand: fundamental physical concepts and terminology related to remote sensing, satellites and environmental sensors and major space missions for Earth observation; main image processing techniques; calibration and validation; basic physical concepts underlying physical inversion algorithms.
- Apply knowledge in: solving practical problems, using radiative transfer codes for simulating radiometric quantities and using GIS for satellite image processing; determination of geophysical variables from satellite images.
- Ability to use information technologies, carry out bibliographic research, analyze and communicate scientific knowledge, in oral and written form, coherently and logically organized on matters within the scope of this UC, in Portuguese or in a second language.
- Develop independent, teamwork and time management skills.
- Apply knowledge in: solving practical problems, using radiative transfer codes for simulating radiometric quantities and using GIS for satellite image processing; determination of geophysical variables from satellite images.
- Ability to use information technologies, carry out bibliographic research, analyze and communicate scientific knowledge, in oral and written form, coherently and logically organized on matters within the scope of this UC, in Portuguese or in a second language.
- Develop independent, teamwork and time management skills.
Contents
1. Introduction: Basic concepts in remote sensing; Brief history of remote sensing; Benefits of Remote Sensing in Earth Sciences. 2. Fundamentals of radiation: Nature and properties of radiation: The electromagnetic spectrum; Radiometric quantities and measurement unit: Laws of radiation: Interaction of radiation with the environment; Introduction to radiative transfer; Radiative transfer codes. 3. Satellites and sensors: Orbital mechanics and types of orbits; Observation geometries; Types of sensors; Satellite images and resolutions; Global spatial observation system; Environmental missions; Geographic information system: a useful tool in remote sensing; Other open access computer applications. 4. Image processing and analysis: Introduction; Pre-processing; Enhancement operations and transformations; Classification and analysis; 5. Calibration and validation; 6. Environmental applications: The problem of inversion in remote sensing; Monitoring; Emergency and alert.
Teaching Methods
Teaching is based on theoretical classes, practical classes and tutorial guidelines.
The theoretical classes are largely expository using computer and audiovisual means.
Theoretical-practical classes are essentially classes on the use of visualization, image processing and analysis software and radiative transfer models, in problem solving.
The assessment can follow the regime of continuous assessment or final assessment.
In the case of continuous assessment, two theoretical assessment tests are carried out, one in the middle of the semester and another at the end of the semester (50% of the final grade) and mandatory practical works (at least 3) proposed throughout the semester (50% of the grade Final).
In the case of final assessment, only one theoretical assessment test is carried out at the end of the semester (50% of the final grade), keeping the mandatory practical work (at least 3) proposed throughout the semester (50% of the final grade).
The theoretical classes are largely expository using computer and audiovisual means.
Theoretical-practical classes are essentially classes on the use of visualization, image processing and analysis software and radiative transfer models, in problem solving.
The assessment can follow the regime of continuous assessment or final assessment.
In the case of continuous assessment, two theoretical assessment tests are carried out, one in the middle of the semester and another at the end of the semester (50% of the final grade) and mandatory practical works (at least 3) proposed throughout the semester (50% of the grade Final).
In the case of final assessment, only one theoretical assessment test is carried out at the end of the semester (50% of the final grade), keeping the mandatory practical work (at least 3) proposed throughout the semester (50% of the final grade).
Teaching Staff
