Remote Sensing and Spatial Modelling

Year
2
Academic year
2024-2025
Code
02041948
Subject Area
Complementary Training
Language of Instruction
Portuguese
Other Languages of Instruction
English
Mode of Delivery
Face-to-face
Duration
SEMESTRIAL
ECTS Credits
6.0
Type
Elective
Level
2nd Cycle Studies - Mestrado

Recommended Prerequisites

Basic knowledge of physics, geology, cartography and also infomatics (user's perspective). 

Teaching Methods

This unit can be taught partially or totally by e-learning.

Theoretical classes

Resolution of practical exercises with support on analogical and digital techniques, in this last case based on GIS software. 

Learning Outcomes

By the end of the course the students should be able to:

- understand the theoretical basics of the Remote Sensing techniques: 

- know the working of the Remote Sensing technologies and how the data are acquired, stored and transfered

- apply data processing thecniques and make a correct interpretation of the same data

- do data modelling of spatial data using GIS tools

- apply the bulk of knowlodge to resources/environment case studies.

Work Placement(s)

No

Syllabus

- Basic principles of Remote Sensing: nature and properties of the radiation; radiation spectrum, radiation laws; the interaction of radiation with the objects

- Platforms and sensors - orbits; passive and active sensors (radar and lidar); the case of SAR; examples of sensors and typology of the acquired data

- The digital image and resolution: the pixel and the raster format; spatial, spectral, radiometric and temporal resolution; the spectral signature of the surfaces

- Digital image processing and classification : conventional techniques and others, like artificial inteligence and cloud computing

- Case studies in land, sea and atmosphere, using also non-remote sensing data and modelling in a GIS plataform. 

Head Lecturer(s)

Alcides José Sousa Castilho Pereira

Assessment Methods

Assessment
Resolution Problems: 40.0%
Exam: 60.0%

Bibliography

Fonseca, A.D. & Fernandes, J.C. (2004) – Detecção Remota, Lidel, Lisboa, 224 p.

Lillesand, Thomas M., Kiefer, Ralph W., & Chipman, Jonathan W., Remote sensing and image interpretation. 5 th ed., New York, John Wiley, 2004.

Smith, M.J., Goodchild, M.F., Longley, P.A. (2015) - Geospatial analysis: a comprehensive .guide to principles, techniques and software tools. The Winchelsea Press (special pdf version).

Elementos de apoio às aulas fornecidos pelo docente, incluindo aulas gravadas e disponíveis online na plataforma Educast/Materials provided by the teacher including videos with recorded lessons available online (educast platform).