Remote Sensing Principles and Applications

Code:

RM09

Acronym:

PADR

Keywords
Classification	Keyword
OFICIAL	Marine Sciences

Instance: 2022/2023 - 1S (of 12-09-2022 to 10-02-2023)

Active?	Yes
Responsible unit:	Microscopy
Course/CS Responsible:	Master Degree in Marine Sciences - Marine Resources

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MCMRM	0	Oficial Plan 2018	1	-	5	50	135

Teaching language

Portuguese and english

Objectives

Provide fundamental knowledge about remote sensing, its principles and applications. Provide a basic knowledge of image processing. Provide the necessary knowledge to prepare a research paper on a topic to be defined within the marine and coastal applications optical and SAR)

Learning outcomes and competences

Principles of remote sensing.

Working method

Presencial

Program

-Principles of Remote Sensing: Energy Sources and electromagnetic concepts. - Characteristics of satellites and sensors. - Fundamentals of Digital Image Processing: Histrograms and Filters - Satellites, sensors and applications - I mageClassification  - Examples on the application of remote sensing to marine resources and coastal areas. - SAR Applications.

Mandatory literature

Ana Duarte Fonseca, João Cordeiro Fernandes; Detecção remota , Lisboa : Lidel, 2004. ISBN: 972-757-292-8
Thomas M. Lillesand,, Ralph W. Kiefer, Jonathan W. Chipman. - 6th edition; Remote sensing and image interpretation, Hoboken : John Wiley, 2008. ISBN: 978-0-470-05245-7
John R. Jensen. - 2nd edition; Remote sensing of the environment : an earth resourse perspective , Upper Sadlle River : Prentice-Hall, 2007. ISBN: 0-13-188950-8
Arthur P. Cracknell, Ladson Hayes. - 2nd edition.; Introduction to remote sensing , Boca Raton : CRC, 2007. ISBN: 0-8493-9255-1
Seelye Martin.; An introduction to ocean remote sensing, New York : Cambridge University, 2004. ISBN: 0-521-80280-6

Complementary Bibliography

I. S. Robinson; Satellite oceanography : an introduction for oceanographers and remote-sensing scientists, Chichester : John Wiley and Sons, 1994. ISBN: 0-471-95424-1

Teaching methods and learning activities

The evaluation is done through research work in a scientific paper format and presentation of the same.

Software

QGIS
ArcGIS PRO

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Prova oral	25,00
Trabalho escrito	75,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	85,00
Frequência das aulas	50,00
Total:	135,00

Eligibility for exams

To have a frequency, the student must perform the proposed work and present it. It is mandatory to attend 75% of classes.

Calculation formula of final grade

Final classification = Paper (75%) + oral presentation (25%) 

Classification improvement

If the student intends to improve his grade, he must deliver an improved version of the work in no more than one week.