Fundamentals of remote sensing
### Working language
Portuguese and English
### Goals
This UC aims to introduce the basic concepts of Remote Sensing (RD), which will serve as the basis for the frequency of specific UC DR, from the 2nd semester of the 1st year.
Pretend that students:
1) Acquire basic knowledge about the physical principles of remote sensing, in particular about radiometry and the interaction of radiation with the atmosphere and the Earth's surface.
2) Get to know the immense potential of remote sensing in Earth observation.
3) Get to know the main characteristics of the orbits of Remote Sensing satellites.´
4) Get to know the vast set of satellite data available and be able to identify the most suitable one for solving a given problem.
5) Know the specific characteristics of microwave sensors versus optical and thermal sensors, advantages and tolerances of each type.
### Learning outcomes and skills
Students must:
1) Be able to identify the strengths and limitations of remote sensing in Earth observation, in particular: the physical principles of remote sensing; the main characteristics of DR satellite orbits and how they affect the ability to acquire DR data; main satellites and sensors and their characteristics..
2) Know the vast set of available satellite data and be able to identify the most appropriate one to solve a given problem.
### Working mode
in person
### Program
1\. Introduction to Remote Sensing.
two\. Energy sources and radiometric concepts
3\. Interaction of energy with the atmosphere
4\. Interaction of energy with the Earth's surface
5\. Orbits of remote sensing satellites.
6\. Earth Observation Satellites
6.1 Characteristics of satellites and sensors; Types of Sensors.
6.2 Environmental satellites
6.3 Oceanographic satellites
6.4 Weather satellites
6.5 High resolution satellites (spatial and/or spectral)
7\. Microwave sensors.
### Mandatory Bibliography
Jensen John R.; [Remote sensing of the environment](http://catalogo.up.pt/F/-?func=find-b&local_base=FCUP&find_code=SYS&request=000285191 "Remote sensing of the environment (Abre numa nova janela)"). ISBN: 0-13-188950-8
Lillesand, T.M., Kiefer, R.W.; Remote Sensing and Image Interpretation, John Wiley and Sons, 7th Edition,, 2015
Rees, W. G; Physical Principles of Remote Sensing, University of Cambridge, 3rd Edition , 2013
Prost Gary L.; [Remote sensing for geoscientists](http://catalogo.up.pt/F/-?func=find-b&local_base=FCUP&find_code=SYS&request=000297467 "Remote sensing for geoscientists (Abre numa nova janela)"). ISBN: 978-1-4665-6175-5 ebook
### Complementary Bibliography
Richards, J.A., Jia, X; Remote Sensing Digital Image Analysis - An Introduction, Fifth Edition, Springer-Verlag, 2013
Gonzalez, R.C., Woods, R.E. ; Digital Image Processing, Addison-Wesley, 2008
### Teaching methods and learning activities
Theoretical content classes are given based on Power Point presentations. In the practical classes, it is proposed to solve exercises that aim to apply and complement the knowledge given in the theoretical ones, especially those referring to points 2) and 5) of the program. At the beginning of each class, a period will be reserved for students to raise questions about the content of the previous class, thus trying to encourage continuous and regular study.
Since the objectives of this UC are the transmission of basic knowledge of Remote Sensing, it does not include the use of any type of software, this component being covered by the UC Digital Image Processing and Computing for Remote Sensing.
### Type of evaluation
Evaluation by final exam (100%)
### Occupation Components
Self-study (hours): 120.00
Frequency of classes (hours): 42.00
**Total:**: 162.00
### Get Frequency
Class attendance is mandatory. Students may lose attendance if they exceed the number of absences provided by law.
### Final classification calculation formula
Assessment is carried out in a final exam (EF), with two components: Theoretical (T) and Practical (P).
Final: CF=T \*0.7 + P\*0.3.
More information at: https://sigarra.up.pt/fcup/pt/ucurr_geral.ficha_uc_view?pv_ocorrencia_id=479403
Presential
TRUE
Fundamentals of remote sensing
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or HaDEA. Neither the European Union nor the granting authority can be held responsible for them. The statements made herein do not necessarily have the consent or agreement of the ASTRAIOS Consortium. These represent the opinion and findings of the author(s).
