Checking date: 12/07/2020

Course: 2020/2021

Remote Sensing and Scientific Missions
Study: Master in Space Engineering (360)

Coordinating teacher: SEGOVIA VARGAS, DANIEL

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

Type: Compulsory
ECTS Credits: 3.0 ECTS


Students are expected to have completed
Have passed the course on Complements on Telecommunications Technologies and Telecommunication Systems and Signal Processing (or equivalent courses in their previous bachelors)
Competences and skills that will be acquired and learning results.
Basic competences CB6 To possess and understand knowledge that provides a basis or opportunity to be original in the development and / or application of ideas, often in a research context CB7 Students must know how to apply the knowledge acquired and their ability to solve problems in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their area of study CB8 Students must be able to integrate knowledge and face the complexity of making judgments based on information that, being incomplete or limited, includes reflections on social and ethical responsibilities linked to the application of their knowledge and judgments CB9 Students must know how to communicate their conclusions and the knowledge and ultimate reasons that sustain them to specialized and non-specialized audiences in a clear and unambiguous way CB10 Students must have the learning skills allowing them to continue studying in a way that will be largely self-directed or autonomous. General competences CG3 Ability to analyze and correct the environmental and social impact of the technical solutions of any space system CG4 Ability to work in multidisciplinary teams in a cooperative way to complete work tasks CG5 Ability to handle the English, technical and colloquial language. CG6 Ability to know adequately the business context of the professional sector, as well as to know and understand the applicable legislation in the exercise of the profession Specific competences CE3 Ability to develop a complete system that meets the design specifications and the expectations of the interested parties. This includes the production of products; acquire, reuse or code products; integrate products in top-level assemblies; verify products against design specifications; validate the products against the expectations of the interested parties; and the transition of products to the next level of the system. CE12 Ability to understand and apply the knowledge, methods and tools of space engineering to the analysis and design of sensors and instruments used in space missions. CE14 Ability to understand and apply the knowledge, methods and tools of space engineering to space surveillance and clean space.
Description of contents: programme
Common topics to all the subjects, as indicated in the learning outcomes, are related to the social and business context of space engineering. Specific topics of each subject: Remote Sensing, and Scientific Missions. The program of the subject includes: 1 Introduction to Satellite Remote Sensing: definition, history, advantages, legal aspects 2 Remote Sensing Fundamentals: electromagnetic spectrum, atmospheric interactions, acquisition geometry, spatial, temporal and spectral resolution 3 Concept of Operations (from mission requirements to final implementation) 4 Types of instruments 5 Payload Data Ground Segment (PDGS) components 6 Geographic Information Systems (GIS) 7 Programmatics: Market and Applications of Remote Sensing, Earth Observation Programmes (Copernicus, GMES, GEOSS, etc.) 8 Introduction to Scientific Missions: definition, architecture, advantages of space observatories 9 Space Astronomy Instrumentation: telescopes, spectrometers, particle detectors, plasma diagnostic, gravitational waves, ¿
Learning activities and methodology
Formative activities included in the curriculum AF1 Theoretical class AF4 Laboratory practices AF5 Office hours AF6 Teamwork AF7 Individual work of the student AF8 Midterm and final exams Activity code Total hours Classroom hours % classroom hours AF1 18 18 100 AF4 3 3 100 AF5 3 1 33 AF6 48 0 0 AF8 3 3 100 TOTAL 75 25 33% Methodology MD1 Master class supported by computing and audiovisual media, where the main topics are exposed, and bibliography is provided to complement the learning by the students. MD2 Critical reading of recommended texts: press articles, reports, textbooks and/or academic papers, both to be later discussed in class, or to complement and consolidate the knowledge of the topic. MD3 Resolution of practical cases, problems, etc., proposed by the teacher, individually or in groups. MD4 Exposition and discussion in class of topics related to the course and practical cases, under teacher moderation. MD5 Elaboration of assignments and reports individually or in groups.
Assessment System
  • % end-of-term-examination 30
  • % of continuous assessment (assigments, laboratory, practicals...) 70
Basic Bibliography
  • Charles Elachi Jakob Van Zyl. Introduction to the physics and techniques of remote sensing. Wiley-Interscience . 2006
  • Christopher Legg, . Remote sensing and geographic information systems : geological mapping, mineral exploration and mining. John Wiley & Sons. 1994
  • D.A. Landgrebe. Signal theory methods in multispectral remote sensing. John Wiley & Sons . 2003
  • Alfred Stein. Spatial statistics for remote sensing . Kluwer Academic . 2002.
Recursos electrónicosElectronic Resources *
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The course syllabus and the academic weekly planning may change due academic events or other reasons.