Code: | EGEO3003 | Acronym: | EGEO3003 | Level: | 300 |
Keywords | |
---|---|
Classification | Keyword |
OFICIAL | Surveying Engineering |
Active? | No |
Responsible unit: | Department of Geosciences, Environment and Spatial Plannings |
Course/CS Responsible: | Bachelor in Chemistry |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
L:B | 0 | Official Study Plan | 3 | - | 6 | 48 | 162 |
L:CC | 0 | study plan from 2021/22 | 2 | - | 6 | 48 | 162 |
3 | |||||||
L:F | 0 | Official Study Plan | 2 | - | 6 | 48 | 162 |
3 | |||||||
L:G | 0 | study plan from 2017/18 | 2 | - | 6 | 48 | 162 |
3 | |||||||
L:M | 0 | Official Study Plan | 2 | - | 6 | 48 | 162 |
3 | |||||||
L:Q | 0 | study plan from 2016/17 | 3 | - | 6 | 48 | 162 |
This curricular unit aims to complement the knowledge acquired in the unit ”Observação da Terra por satellite”, focusing on Remote Sensing (RS) using microwave sensors (in particular active sensors) and digital image processing for a representative set of RS applications.
It is expected that tudents:
1) Are aware of the enormous potential of remote sensing techniques in the observation of the earth's surface.
2) Have consolidated their knowledge about the techniques used in Remote Sensing in the various bands of the electromagnetic spectrum.
3) Know the vast variety of available satellite data and are able to identify the most appropriate to solve a given problem.
4) Are able to correctly identify and use the appropriate tools for processing and analyzing data collected by satellites, aerial or unmanned autonomous vehicles(image and non-image)..
5) Are able to use satellite data to solve problems in various areas of geosciences and Engineering
Students should have attended the unit Satellite Earth Observation (EGEO2004). A student for whom this is the first Remote Sensing course, will be advised to also attend some of the introductory lectures of a basic Remote Sensing course
Theoretical classes are mainly based on Power Point presentations.
In the Practical classes, a set of exercises is proposed, aiming to apply and consolidate the knowledge acquired in the theoretical classes. The functionalities of one or two Remote Sensing (RS) processing tools are presented. A set of practical exercises are proposed, for solution in the computer, using specific RS processing software.
designation | Weight (%) |
---|---|
Exame | 100,00 |
Total: | 100,00 |
designation | Time (hours) |
---|---|
Estudo autónomo | 64,00 |
Frequência das aulas | 56,00 |
Trabalho laboratorial | 42,00 |
Total: | 162,00 |
Attendance of theoretical classes is not compulsory. The students might fail if they miss a number of practical classes that exceeds the number predicted in the University rules
Type of evaluation: distributed with final exam.
The exam has two components: Theoretical (T) and Practical (P), the second one executed in the computer.
Evaluation formula: CF=T *0.5 + P*0.5.
NA
NA
The assessment method is the same as for regular
The students can use the methods predicted in the general University rules for mark improvement.