Remote Sensing and Image Analysis
The overall objective is the transmission of theoretical and practical expertise for the interpretation, processing and extraction of the surface geological information acquired through indirect methods of observation (aerial photographs and satellite images).
The specific objectives are: (i) provide basic knowledge for identifying geomorphological and litho-stratigraphic structures using stereo-pair aerial photos and; (ii) provide basic and fundamental knowledge for the enhancement of surface features through specific techniques of image processing applied to satellite imagery for earth observation.
The students who succeed in this course must be able to understand the main uses and be trained on the geological interpretation of aerial photographs and satelite images. It is also the aim of the course to give bases to thematics related to the agroindustrial technologies and the precision agriculture.
José Carlos Ribeiro Kullberg, Maria da Graça Azevedo de Brito
Weekly - 4
Total - 62
Students that apply correctly to the Course
M. RICCI & S. PETRI (1965) - Principios de aerofotogrametria e interpretação geológica. Comp. Ed. Nac., São Paulo.
P. STRAIN & F. ENGLE (1992) - A Terra vista do espaço. Turner Publishing Inc., Atlanta.
Manuel photo - interprétation. Ed. Technip, Paris, 1970.
T. LILLESAND & R. KIEFER (1994) - Remote sensing and image interpretation. John Wiley &Sons, New York, 3ª ed.
Fernández-Prieto, D.; Sabia, R. (2013) - Remote Sensing Advances for Earth System Science. Springer, 103 p. ISBN 978-3-642-32521-2
Khorram, S., Koch, F.H., van der Wiele, C.F., Nelson, S.A.C. (2012) - Remote Sensing. Springer, 134 p. ISBN 978-1-4614-3103-9
Different learning methods are used in this course:
- Tutorial teaching, corresponding to the programmed lectures and laboratory sessions
- E-learning methods are available by use of the Moodle platform, where students can contact instructors for dialogues and questions that they need to ask. This learning component does not substitute the mandatory office hours.
The program of the discipline, and respective evaluation, has 2 distinct subject blocks:
1 - Photointerpretation.
2 - Digital image processing
The evaluation of the discipline has two components:
a) Continuous assessment:
Concerning the photointerpretation component, it consists of one theoretical/practical test (TP1) with a component of photointerpretation and other related with UAV''s (drones)
Regarding the Digital image processing component, the students must present in public session a practical project (groups of 2 students) (PGP) partially developed during the practical classes and partially in autonomy.
It is a condition of attendance to the discipline to carry out at least 10 hours of ESRI courses for image processing, to be carried out independently, with delivery of the respective certificates.
b) Final Exam for the second call: Students can often only take the test (s) to which they have not obtained a minimum classification of 6 values (out of 20).
The final classification (CF) is obtained as follows:
CF = 0.50TP1 + 0.50PGP
The content is divided into two parts: Photogeology (7 lectures and theoretical-practical) and Satellite (7 lectures and theoretical-practical)
Part 1 - Photo-interpretation of surface vegetation - Fundamental concepts of interpretation of stereoscopic pairs of aereal photographs. Methods of stereoscopic observation. Criteria for identification of diferent types of occupation of the soil (shape, tone, texture and hydrographic network). Superficial patterns and relation with soil and bedrock.
Laboratory - Cartography and interpretation of aerial photographs using (i) stereoscopes (stereo-pair ortho- photos) and stereographic specific software (for digital photographs).
Part 2 - Satellites - Basic concepts: Electromagnetic radiation. Spectral signature of the main surface features. Satellites for earth observation. Passive and active systems. Optical sensors. Structure of a digital image. Satellite sensors and characteristics. Image processing techniques: spectral correction, color composition; ratios and vegetation indexes, spectral classification.
Laboratory - Satellite image (Landsat or Sentinel) processing using specific software.
Programs where the course is taught: