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Remote Sensing Principles and Applications

Code: RM09     Acronym: PADR

Keywords
Classification Keyword
OFICIAL Marine Sciences

Instance: 2024/2025 - 1S (of 16-09-2024 to 14-02-2025) Ícone do Moodle

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 Staff - Responsibilities

Teacher Responsibility
Ana Cláudia Moreira Teodoro

Teaching - Hours

Theoretical classes: 2,14
Practical classes: 1,43
Type Teacher Classes Hour
Theoretical classes Totals 1 2,143
Ana Cláudia Moreira Teodoro 2,142
Practical classes Totals 1 1,429
Ana Cláudia Moreira Teodoro 1,428

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

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
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; Remote sensing and image interpretation, 7th Edition, Wiley, 2015. ISBN: ISBN: 978-1-118-34328-9
James B. Campbell, Randolph H. Wynne ; Introduction to Remote Sensing, Fifth Edition, Guilford Publications, 2022. ISBN: 9781462549405
Seelye Martin; An introduction to ocean remote sensing, 2nd Edition, Cambrigge University Press, 2014. ISBN: 9781107019386

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
Optical Satellite Remote Sensing of the Coastal Zone Environment - An Overview. Environmental Applications of Remote Sensing, C6, 165-196. Marghany (Ed.), ; Teodoro, A.C. , In-Tech, 2016. ISBN: 978-953-51-2444-3

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
SNAP (ESA)

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.
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