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Remote Sensing

Objectives

The curricular unit targets the fundamentals of remote sensing, the main Earth Observation satellite and satellite image processing methods. The final goal is that the student after completion of the unit will be able, in an autonomous way, to design and implement a project to produce information (e.g. thematic cartography) based on satellite images and classification algorithms.

General characterization

Code

200115

Credits

7.5

Responsible teacher

Hugo Alexandre Gomes da Costa

Hours

Weekly - Available soon

Total - Available soon

Teaching language

Portuguese. If there are Erasmus students, classes will be taught in English

Prerequisites

There are no specific course prerequisites.

Bibliography

Jensen, J.R., 2004. Introductory Digital Image Processing: a Remote Sensing Perspective, 3ª Edição. New Jersey: Prentice-Hall.; Jensen, J., 2006. Remote sensing of the environment: an earth resource perspective, 2ª Edição. New Jersey: Prentice Hall.; Warner, T., M. Nellis e G. Foody (Eds.), 2009. The SAGE Handbook of Remote Sensing. London: SAGE Publications Ltd. ; CCRS, Canadian Centre for Remote Sensing, 2007. Fundamentals of Remote Sensing , [Online]. Disponível em http://www.nrcan.gc.ca/sites/www.nrcan.gc.ca.earth-sciences/files/pdf/resource/tutor/fundam/pdf/fundamentals_e.pdf. Access date: Feb 13, 2013; Ustin, S., 2004. Remote sensing for natural resource management and environmental monitoring, 3rd ed. Hoboken: John Wiley & Sons.

Teaching method

The course has lectures and laboratory sessions. In the lectures, the instructor uses slides to illustrate the theory. The laboratory sessions consists on the use of a image processing software for deriving a thematic map based on spectral and/or temporal pattern analysis. The course also includes seminars to discuss the socioeconomic benefits of remote sensing.
 
The professor promotes an active and collaborative learning based on real world problem solving

Evaluation method

The professor in one of the first classes will discuss with the student the evaluation method to be applied in this course. As a starting point for the discussion it is proposed:

  • Online Test (individual) – 30%. The test has two parts: (1) a set of 40 sentences and the student has to identify the true and the false ones, (2) short essay on a topic to be provided on the day of the exam;
  • Participation in classes and homeworks - 20%
  • Essay – 20%.  Essay on socio-economic benefits of remote sensing within a specific theme selected by the student from a list provided by the Professor (individual) – 30%
  • Project  - 30%. Group project (2 to 3 persons) to solve a real problem by using satellite images and an image software chosen by the group. The problem has to be defined by the group.
 
The project and the essay are to be presented in the final seminar of the course. The students have to deliver one report for each work. The delivery date is defined by the coordination of the master program.

Subject matter

  1. Introduction to remote sensing and to the course
  2. Remote sensing principles
  3. Characteristics of Earth observation satellites and sensors
  4. Exploratory analysis
  5. Image pre-processing
  6. Band transformations
  7. Image information extraction
  8. Multi-temporal image analysis
  9. Socioeconomic benefits of remote sensing
  10. Practical exercises on satellite image processing
  11. Real world problem solving based on satellite image processing