Teaching Methodologies
Theoretical-practical classes have an expository, critical analysis and discussion component, associated with learning applicable solutions
and technologies and problem-solving methodologies. It is an environment for interaction with students, but conducted in a guided manner.
Practical classes are used to solve problems applying concepts, in order to consolidate the previous exposure.
Learning Results
Know the data structures for spatial information.
Search for geographic information, build and share maps.
Master Geographic Information Systems (GIS) software for data in vector and raster format.
Apply spatial operations used in problem solving.
Understand spatial referencing systems (national and international) and the basic concepts of Cartography.
Understand the fundamentals of Remote Sensing.
Program
1. Introduction to GIS: what they are, what they are for; brief historical review.
2. Vector and matrix (raster) spatial data models; building and sharing maps; operations on vector and matrix geographic data sets;
introduction to spatial analysis; data editing.
3. Spatial referencing systems; coordinate conversion; introduction to georeferencing techniques.
4. Digital terrain models (vector, raster and TIN); derivation operations (slopes, slope orientation, exposure, visibility) based on DTM.
5. Introduction to Remote Sensing: principles; sensors and images; spatial, spectral and temporal resolution; satellite programs. Brief
introduction to multispectral image analysis.
Internship(s)
NAO
Bibliography
Chang, K.-T. (2019). Introduction to Geographic Information Systems (9.a ed.). McGraw-Hill Education.
Lidel. (2008). Fundamentos de informação geográfica (5.a ed.). LIDEL.
Lavender, S., & Lavender, A. (2023). Practical handbook of Remote Sensing (2.a ed.). CRC Press. https://doi.org/10.1201/9781003272274
Price, M. H. (2020). Mastering ArcGIS Pro (1.a ed.). McGraw-Hill Education.