Advanced Topics in Geomatics

Year
1
Academic year
2016-2017
Code
03015569
Subject Area
Optional Specialties
Language of Instruction
Portuguese
Other Languages of Instruction
English
Mode of Delivery
Face-to-face
Duration
SEMESTRIAL
ECTS Credits
6.0
Type
Elective
Level
3rd Cycle Studies

Recommended Prerequisites

Basic knowledge in Computer Science

Teaching Methods

2-hour lecture per week for presentation and discussion of the material of each module; and also for presentation of the synthesis and research work by the students (one presentation per module).

Adopted resources:
- Lecture notes (on slides)
- Written notes about some parts of the syllabus
- miscellaneous bibliography
- recent papers published in journals
- software: Matlab and Image Processing and Statistics Toolboxes; ArcGIS; Python,Visual .NET, and C++ programming.

Learning Outcomes

The goal of this course is to introduce students to the area of Sciences and Technology of Geoinformation (currenty design by Geomatics) and to develop some advanced topics on some specific areas within this field. Firstly, some fundamentals are taught covering the systems and technologies of information georeferencing. Secondly, the main methods and of geospatial data extraction from Photogrammetry and Remote Sensing are studied. Finally some hot research topics are discussed which cover the feature extraction from 3D point clouds and the assessment and modeling of the uncertainty of geoinformation.
Generic competencies in analysis and synthesis, written and oral communication, informatics knowledge relative to the study focus, problem solving, critical thinking, decision capability, autonomous learning, research, practical application of theoretical knowledge, creativity, self-criticism and self-evaluation, research.

Work Placement(s)

No

Syllabus

1.    Fundamentals of Geomatics: a) Georeferencing and Positioning Systems and Technologies; b) Photogrammetry and Remote Sensing; c) Digital Cartography d) Geographic Information Systems
2.    Feature extraction from 3D point clouds
3.    Quality assessment and uncertainty modeling in geographic information.

Head Lecturer(s)

Gil Rito Gonçalves

Assessment Methods

Assessment
Synthesis work: 50.0%
Research work: 50.0%

Bibliography

[1] Topographic Laser Ranging and Scanning: Principles and Processing, edited by J. Shan and C. K. Toth, Taylor and Francis, Boca Raton, USA, 2009, xi + 574 pp., ISBN 13: 978-1-4200-5142-1
[2] Harley, Ian A., Stephen Kyle and Karl Kraus (2007) Photogrammetry. Geometry from Images and Laser Scans. Germany: De Gruyter.
[3] Richards,A. J. and Jia, X, (2006) Remote Sensing Digital Image Analysis, 4th edition, Springer. (ISBN 978-3-540-25128-6).
[4] Zhang, J., Goodchild, M. (2002) Uncertainty in Geographical Information. Taylor & Francis.
[5] Foody, G., Atkinson, P. (2002) Uncertainty in remote sensing and GIS. John Wiley.
[6] Guptill, S., Morrison, J. (1995) Elements of spatial data quality. Elsevier Science.
[7] Worboys, M., Duckham, M. (2004) GIS – A Computing Perspective (2nd ed.). CRC Press LLC, Boca Raton (Florida, USA).
[8] Papers from international journals