Objectives and Contextualisation
At the end of the course, the student will be able to:
Use concepts from various disciplines studied during the master with special emphasis on the choice of geographic data, whether obtained by remote sensors or in-situ, in order to give the optimal answer to the problems raised at work, be it theoretical or methodological or applied.
Apply remote sensing techniques in the development of the final master's project.
Use multivariate, geostatistical and interpolation techniques to extract the best knowledge from the available geographic data.
Properly treat direct and indirect information both in the processing stage and in its preparation for general access through the Internet.
Apply optimal solutions that respond to the challenges and questions posed in the final master's degree project, from the combined principle of environmental sensitivity and technical feasibility.
Competences
Analyse and exploit geographic data from different sources to generate new information from pre-existing data.
Choose the most suitable tools and applications to fulfil the objectives of a project in the field of spatial planning or analysis.
Continue the learning process, to a large extent autonomously.
Design and apply a methodology, based on the knowledge acquired, for studying a particular use case.
Design and apply solutions based on GIS tools for managing and exploiting natural resources or administrative information with a spatial component.
Handle different data and metadata formats appropriately and take the importance of international standards into account when storing them and publishing them on internet.
Identify and propose innovative, competitive applications based on the knowledge acquired.
Integrate knowledge and use it to make judgements in complex situations, with incomplete information, while keeping in mind social and ethical responsibilities.
Use the different techniques for obtaining information from remote images.
Write up and publicly present work done individually or in a team in a scientific, professional context.
Learning Outcomes
Apply remote sensing techniques in developing the master's dissertation.
Continue the learning process, to a large extent autonomously.
Deal suitably with direct and indirect information, both at the processing stage and when preparing it for general publication on internet.
Design and apply a methodology, based on the knowledge acquired, for studying a particular use case.
Find optimal solutions to the challenges and questions posed in the master's degree dissertation, combining environmental sensitivity and technical feasibility from the outset.
Identify and propose innovative, competitive applications based on the knowledge acquired.
Integrate knowledge and use it to make judgements in complex situations, with incomplete information, while keeping in mind social and ethical responsibilities.
Use concepts from various disciplines worked on during the master's programme, especially in choosing the geographic data obtained from remote sensors or in situ, in order to best tackle the problems posed in an assignment, whether this is theoretical, methodological or applied in nature.
Use multivariate, geostatistical and interpolation techniques to generate maximum knowledge from the available geographic data.
Write up and publicly present work done individually or in a team in a scientific, professional context.
