Space Risk Analysis and Remote Sensing (250MEG010) – Course 2025/26 PDF

Learning Objectives

* To apply oral presentation techniques. * To know and be able to use advanced techniques to geo-referentially represent data. * To have powerful tools for the geospatial analysis of geo-referenciated data. * To acquire technical skills in the use of GIS and remote sensing for spatial analysis, aimed at assessing natural hazards, and managing territorial data.

Total hours of student work

		Hours	Percentage
Supervised Learning	Large group	45h	100.00 %
Self Study		80h

Teaching Methodology

The course consists of 3 hours per eek of classroom activity. The first hour is devoted to theoretical lectures, in which the teacher presents the basic concepts and topics of the subject, shows examples and solves exercises.The objective of these practical exercises is to consolidate the general and specific learning objectives. Each student must develop a GIS&Remote sensing project and do an oral presentation of it at the end of the course. The 2 hours are devoted to solving practical problems and doubts about the GIS project, or laboratory practices, with greater interaction with the students (in general in a classroom with computers and software necessary to the subject practice). Support material in the form of a detailed teaching plan is provided using the virtual campus ATENEA: content, program of learning and assessment activities conducted and literature. Materials of the remote sensing topic will be in Catalan. Although most of the sessions will be given in Spanish, sessions supported by other occasional guest experts may be held in other languages.

Grading Rules

The evaluation calendar and grading rules will be approved before the start of the course.

The final grade of the subject is obtained from the following continuous assessment grades. This final grade, Navac, is drawn up by averaging (weighted to the importance of each activity according to the course), between individual and group problems and practices, of an additive and formative nature, carried out during the course (inside and outside the classroom). Typically Navac= 70% GIS&remote sensing individual Project + 30% other practices such as: DGPS for GIS, georeferencing and/or LIDAR, etc. The practices can be done individually or in groups, and some, like the GIS&Remote Sensing project is individual and must be presented orally in the classroom at the end of the course.

Test Rules

Deliveries of practical activities must be done in a proper way during the scheduled period (min 80%), if not, they will result in a mark of zero in that activity. The attendance to some specific practices (to collect data at field with DGPS for GIS or LIDAR for example) are mandatory to obtain a qualification greater than zero. The final project must contain a report, input data and results, and an oral presentation of approximately 10 minutes.

Office Hours

It shall be determined during the first class (from Monday to Friday)

Bibliography

Basic

Burrough, P.A. Principles of geographical information systems. 3rd ed. Oxford: Oxford University Press, 2015. ISBN 9780198742845.
Olaya, V. Sistemas de información geográfica. [S.l.]: [OsGeo], 2012.
Peña Llopis, J. Sistemas de información geográfica aplicados a la gestión del territorio: entrada, manejo, análisis y salida de datos espaciales: teoría general y práctica para ESRI ArcGIS 9. San Vicente (Alicante): Club Universitario, 2006. ISBN 9788484549192.
Chuvieco, E. Fundamentos de teledetección espacial. 3a ed. (4a reimpr. corretgida 2000). Madrid: Rialp, 1996. ISBN 843213127X.
Chuvieco Salinero, Emilio. Fundamentals of satellite remote sensing. 3rd ed. Boca Raton: CRC Press, 2020. ISBN 9780429014468.

Complementary

Gómez Delgado, M.; Barredo, J.I. Sistemas de información geográfica y evaluación multicriterio en la ordenación del territorio. 2a ed. Paracuellos de Jarama: Ra-Ma, 2005. ISBN 8478976736.

Resources

Specialized programs are available such as ArcGis, QGIS+SAGA+GRASS, SNAP, Google Earth Engine, among others.