Geomatics MEG
Objectives
Provide students with multidisciplinary technological training for the acquisition and processing of data from the Earth''s surface with a view to planning and sustainable management of resources in the various aspects of geological engineering (georesources, geotechnics and Geoenvironmental) and Earth Sciences. At the end of the UC, students should (i) know the fundamental concepts for remote acquisition of information from the Earth''s surface (GPS, UAV and space platforms, RGB and multispectral sensors, LIDAR digital and satellite images); (ii) use spatial and image data processing and analysis techniques; (iii) integrate and analyse spatial data in a GIS environment to solve projects (in the field of Applied Geology, Engineering Geology and/or Environmental Geology).
General characterization
Code
13248
Credits
3.0
Responsible teacher
José Carlos Ribeiro Kullberg, Maria da Graça Azevedo de Brito
Hours
Weekly - 2
Total - 50
Teaching language
Português
Prerequisites
No requirements
Bibliography
|
Teaching method
The UC includes: (i) presential theoretical-practical classes, with exposure of theoretical content through audiovisual means; (ii) processing geospatial data with specific software in a computer laboratory; (iii) field classes, for experimenting with data acquisition equipment (GPS and UAV).
Evaluation method
Assessment consists of: (i) a theoretical-practical test (TP) at the end of the semester and (ii) the oral presentation of a practical assignment (P).
The final classification (CF) is calculated by: CF = TP (40%) + P (60%).
To obtain frequency to the UC, students must have attended at least 2/3 of the TP classes.
Subject matter
It includes a review of geodesy and topography concepts, the fundamentals of cartography and map projections, and introduces global positioning systems (GPS) and satellite navigation systems (GNSS) for acquiring geospatial data with GPS and UAVs. Planning and acquisition of high-precision UAV images and their processing. Altimetric representation models (digital terrain and surface models) and orthophotomaps. Passive and active sensors, multispectral images and LIDAR. Landsat and Copernicus Earth observation programmes. Integrating and analysing spatial data in a GIS environment: analysis and processing tools. Online data acquisition and sharing.