Checking date: 02/07/2021


Course: 2021/2022

Earth Observation Data Processing
(18101)
Study: Master in Space Engineering (360)
EPI


Coordinating teacher: SOTO SANTIAGO, LUCIA

Department assigned to the subject: Department of Signal and Communications Theory

Type: Electives
ECTS Credits: 3.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
Remote Sensing and Scientific Missions (18093)
Objectives
Basic competences: - Programming in Python - Working in a Linux environment - English. Middle level for written and high level for comprehension (minimum). - Basic math Specific skills: - Numerical calculus applied to programming - Understand and apply the physics of an optical instrument - Understand and follow an algorithm document (ATBD) - Implementation of the algorithms of an optical sensor - Delivery of a Validation Report
Skills and learning outcomes
Description of contents: programme
1. Optical instrument modelling Optical phase: PSF, ISRF Detection phase Electronic phase Noises 2. Processing and correction of data Offset and Gain Calibration 3. Geometry
Learning activities and methodology
Two teaching activities are proposed: lectures and practical sessions. LECTURES AND EXAMPLES (2 ECTS) Lectures will be delivered using the blackboard, with slides or by any other means to illustrate the concepts to be learnt. In these classes the explanation will be completed with examples. In these sessions the student will acquire the basic concepts of the course. It is important to highlight that these classes require the initiative and the personal and group involvement of the students (there will be concepts that the student himself should develop). PRACTICAL SESSIONS (1 ECTS) The practical classes will solve practical cases as well as laboratory sessions in which real and synthetic data sets will be analysed. Basic concepts learnt during the course are applied in the laboratory and by means of simulation. The student should participate actively the exercise implementation; the level of the student involvement in this work grows from the first exercise to the last one where the student will be encouraged to propose and solve the problem.
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100

The course syllabus and the academic weekly planning may change due academic events or other reasons.