Visual Image Analysis
a) To deepen theoretical knowledge of image interpretation and analysis;
b) To know the principles and fundamentals of planning and management in Remote Sensing project;
c) To explore remote sensing images assisted by computer;
d) To know developing methodologies of image interpretation and analysis;
e) To know a project of acquisition of geographic information from Remote Sensing images.
Weekly - 3 letivas + 1 tutorial
Total - Available soon
Lillesand, T. M., Kiefer, R., W. & Chipman, J. (2015). Remote Sensing and Image Interpretation (7th ed.). New York: John Wiley & Sons. (pp. 1-84 and 485- 699)
Lunetta, R. S.& Elvidge, C. D. (Ed.) (1999). Remote Sensing Change Detection. Environmental Monitoring Methods and Applications. London:Taylor & Francis. (pp. 21-40 and 281-308)
Perdigão, V.& Annoni, A. (1997). Technical and Methodological Guide for Updating CORINE Land Cover Data Base. Bruxelas: European Environmental Agency, Joint Research Centre, European Commission. (pp. 1-124)
Salinero, E. S. (2008). Teledetección Ambiental (3ª. Ed.). Barcelona: Ariel. (pp. 17-527)
Lectures, laboratory classes/computer, project, presentations by students
The teaching methodologies are focused on independent work of the student and practice (hands-on). This work is tutorial for the application of theory to practice of image interpretation and analysis. At the end each student must know to propose a project that uses images obtained by remote sensing and to reveal knowledge and skills accumulated over the course.
1 theoretical exam: [25%]
1 practical exam: [25%]
1 project report: [50%]
1 presentation of the project: [pass/no pass].
[According to the FCSH Assessment Standards, the proposed evaluation elements to introduce students in the first class may suffer readjustments, particularly in the percentage of each element.]
1) Preparation and project management with remote sensing images. Technical options: i) image type, single and / or multi-temporal; ii) minimum unit of analysis; iii) nomenclature; iv) ancillary data, field work; v) timeline of tasks; vi) computer resources, human resources and associated costs
2) Summary of the theoretical principles of image interpretation and analysis: i) visual primitives; ii) identification and interpretation of objects in images; interpretation keys; iii) color representation models RGB and HSI
3) Preparation of classifications for the production of land cover land use maps: i) theoretical foundations; ii) examples of classifications
4) Quality Analysis: i) quality elements; ii) assessing the positional and thematic errors; iii) type of sampling, sample unit, sample size
5) Applications: project planning image interpretation and analysis by computer-aided using data of different resolutions and covering different thematic areas.