Remote Sensing
Objectives
i) know the concepts and physical principles of Earth observation and the formation of an image obtained from a distance;
ii) know the current technology for observing the planet and the fundamental reasons for its future evolution;
iii) understand the algorithms for digital processing of images obtained by remote sensing;
iv) apply digital image processing algorithms to solve problems of obtaining geographic information about the Earth; and
v) interpret geographic information obtained by automatic and semi-automatic processing.
General characterization
Code
01100671
Credits
6.0
Responsible teacher
José António Pereira Tenedório
Hours
Weekly - 4
Total - 168
Teaching language
Portuguese
Prerequisites
N/A
Bibliography
- Lillesand, T. M., Kiefer, R., W. & Chipman, J. (2015). Remote Sensing and Image Interpretation (7th ed.). New York: John Wiley & Sons. Pp. 1-84; pp. 485- 699
- U.S. Geological Survey (2015). LANDSAT 8 [em linha]. USGS Web site. Acedido Julho 24, 2017, em http://landsat.usgs.gov/landsat8.php
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 projec(25%), Development of a project to solve a problem(70%)
Subject matter
1. Physical concepts and principles of Earth observation:
i) electromagnetic radiation;
ii) electromagnetic wave;
iii) electromagnetic spectrum;
iv) sources of electromagnetic radiation;
v) interaction of electromagnetic radiation with matter;
vi) interaction of electromagnetic radiation with the atmosphere;
vii) spectral behavior of vegetation, water and soil.
2. Earth observation systems:
i) resolutions of a sensor system;
ii) satellites and sensors;
iii) main applications of Earth observation systems.
3. Digital processing of remote sensing images:
i) the image as a data matrix;
ii) geometric and radiometric corrections;
iii) enhancement and combination of spectral bands;
iv) arithmetic operations and algebraic functions on bands;
v) band transformations; vi) image ratings (undirected ratings and targeted ratings).
4 Applications