Geospatial Information Technologies and Decision Support Models

Year
1
Academic year
2020-2021
Code
03020485
Subject Area
Sustainable Forest Development
Language of Instruction
Portuguese
Mode of Delivery
B-learning
Duration
SEMESTRIAL
ECTS Credits
7.5
Type
Elective
Level
3rd Cycle Studies

Recommended Prerequisites

Not applied.

Teaching Methods

Before each class presentation, a summary is sent to students regarding the subjects to be discussed. At the end of each class, a document in PDF format with presentations and contents is provided to students.

In the face-to-face classes, the expository method is essentially used, with the support of audiovisual media and whiteboard. A set of Real problems are presented as well the required methodology for georeferenced data collection and processing both in real work or in research projects, making use of knowledge acquired by students in their daily lives.

Learning Outcomes

To provide the creation and development of GIS / DR projects dedicated to forest resources management exploitation, both in goods production and multiple use or ecosystem services. Students will be guided to update their knowledge regarding the terminology in this scope and the application areas of Geographic Information Systems, Remote Detection and Multicriteria Decision Analysis Methods. To present the steps inherent to a GIS construction, as well as the subsequent phases, related to the project updating, management and data structure. In this way, students will gain skills that allow them to identify the problem, to design an approach methodology, identify the information needed to develop the project, identify the sources of information and develop the entire project to the production scenarios and dedicated cartography.

Work Placement(s)

No

Syllabus

1. GIS and RS in forest resource management - geoprocessing, interactive digital platforms and voluntary geographic information

2. Cadastre and properties registration,

3. Remote sensing applied to the forest - cartography (2D / 3D) and monitoring (4D),

4. Forest inventory, biomass and fuel models,

5. Mathematical models of forest management - planning, forecasting and dimming,

6. Multi-criteria decision analysis applied to the forest (MCDA).

Head Lecturer(s)

Cidália Maria Parreira da Costa Fonte

Assessment Methods

Assessment
Other: 40.0%
Synthesis work: 60.0%

Bibliography

Peter A. Burrough, Rachael A. McDonnell, and Christopher D. Lloyd – 2015 - Principles of Geographical Information Systems. Third Edition. Oxford University Press, England. ISBN: 9780198742845

António Cosme – 2012 - Projeto em Sistemas de Informação Geográfica. Eição: Lidel, março de 2012   ISBN: 9789727578498

Köhl, Michael, Steen Magnussen, and Marco Marchetti. 2006. Sampling Methods, Remote Sensing and GIS Multiresource Forest Inventory. Springer-Verlag Berlin Heidelberg New York. doi:10.1300/J091v03n02_06.

Favorskaya, Margarita N, and Lakhmi C Jain. 2017. Handbook on Advances in Remote Sensing and Geographic Information Systems Paradigms and Applications in Forest Landscape Modeling. Intelligent Systems Reference Library. doi:10.1007/978-3-319-52308-8.

Jensen, John R. 2015. Introductory Digital Image Processing: A Remote Sensing Perspective. 4th ed. Upper Saddle River, NJ, USA: Prentice Hall.