Remote Sensing and GIS Seminar
Objectives
a) To achieve scientific and technical skills on acquisition, integration, operation and spatial analysis using geographic information tools for visual analysis of digital image processing and GIS;
b) To achieve scientific and technical skills on modeling geographical, environmental and land development phenomena using GIS;
c) To develop project solutions on acquisition, integration and spatial analysis of geographical information, integrating
d) To develop project solutions for modeling geographic, environmental, and land development phenomena using GIS.
General characterization
Code
711041063
Credits
12.0
Responsible teacher
Rossana Estanqueiro Leal da Silva
Hours
Weekly - Available soon
Total - 336
Teaching language
Portuguese
Prerequisites
N/A
Bibliography
- Batha, B, (2021). Remote Sensing and GIS. OUP India.
- Lillesand, T. M., Kiefer, R. W. & Chipman, J. (2015). Remote Sensing and Image Interpretation (7ª ed.). New York: John Wiley & Sons, pp. 59¬217; 485¬697.
- Longley, P. A., Goodchild, M.F., Maguire, D. J. & Rhind, D. W. (1999). Geographical Information Systems, volume 1. New York: John Wiley & Sons, pp. 371¬580.
- Stars, J. L., Estes, J. E. & McGwire, K. C. (2010). Integration of Geographic Information Systems and Remote Sensing. New York: Cambridge University Press, pp.134¬155.
- Wegman M.et al.(2020). An Introduction to Spatial Data Analysis: Remote Sensing and GIS with Open Source Software, Pelagic Pub.
Teaching method
Three methods are used:
a) Sessions with theoretical exposition with simultaneous practice of intensive computational applications (exercises);
b) Session tracking the various stages of developing a project in Remote Sensing and GIS;
c) Forum on e-learning system
Evaluation method
Continuous assessment - Attempting 60% of the classes(5%), Conducting exercises directed to the project(25%), Development of a project to solve a problem(70%)
Subject matter
1) General introduction to geographic information extraction from aerial and orbitals imagery;
i) Theoretical principles (resolution, scale, primitive image analysis and interpretation, interpretation keys);
ii) Structuring of legend in levels of information oriented to geodatabases;
iii) Coordinate systems and transformations between different coordinate systems;
iv) Geo-referencing;
v) Editing/vectorization;
vi) Validating information;
vii) Topology.
2) Visual analysis of very high spatial resolution imagery data acquisition for GIS:
i) Visual image analysis and editing/vectorization;
ii) Validating information;
iii) Topology.
3) Visual analysis of medium-resolution satellite image data acquisition for GIS:
i) Enhancement;
ii) Methods of global transformations;
iii) Filtering;
iv) Image fusion;
v) Visual image analysis and editing/vectorization;
vi) Validating information;
vii) Applying topology.
4) Development of an integrated project of Remote Sensing and GIS.