ECTS credits ECTS credits: 6
ECTS Hours Rules/Memories Student's work ECTS: 99 Hours of tutorials: 3 Expository Class: 24 Interactive Classroom: 24 Total: 150
Use languages Spanish, Galician
Type: Ordinary Degree Subject RD 1393/2007 - 822/2021
Center Higher Polytechnic Engineering School
Call: Second Semester
Teaching: Sin docencia (Extinguida)
Enrolment: No Matriculable
This subject aims at involving the students in the use of UASs, as well as in the employment of satellite imagery for the analysis of the terrestrial surface through remote sensing techniques.
In particular, the students will have to acquire the following capacities:
Capacity to select images recorded by sensors of satellite and UASs, as well as the correction and processing of these images to be applied.
Capacity to generate indices and products of added values.
The official report of this course includes for this subject the following contents:
Fundamentals of remote sensing. Selection of platform and sensor. Planning and execution of flight missions. Corrections and digital treatments of the image. Extraction and analysis of the information. Multi-spectral cartography and indices for supporting the decision making.
These contents will be developed in accordance with the following structure:
Theoretical contents (24 hours in-situ in classroom hours and 36 hours of personal work by the student)
BLOCK I.- Remote sensing (10 hours of face-to-face classes and 14 hours of personal work by the student)
Topic 1 - Introduction to the capture of remote information using drones and satellites. Physical fundamentals of remote sensing (2.5 classroom hours + 4 hours of non-classroom work).
Topic 2 -. Selection of platform and sensor. Characteristics: types of resolution, orbit, field of application. (2.5 hours + 3 NP hours).
Topic 3 - Digital image corrections and treatments. Sources of radiometric and geometric error. Histogram of an image. Contrast and expansion. Types of filters (2.5 hours + 4 NP hours).
Topic 4 - Extraction and analysis of information. Unsupervised and supervised classification. Phases of classification. Classification algorithms. (2.5 hours + 4 NP hours).
BLOCK II.- DRONES (14 hours of face-to-face work + 22 hours of non-face-to-face work)
Topic 5 - Introduction. The capture of information using drones. Platforms, sensors and general applications. Advantages and disadvantages of UAS (3 hour of classroom work + 6 hours of non-classroom work).
Topic 6 - Photogrammetry and remote sensing using UAS. Work methodology. Planning and execution of missions (2 hours + 4 NP hours).
Topic 7 - Applications in the field of Engineering. Architecture, heritage, industry. Agroforestry applications. Web services for dissemination, virtual flights and 3D printing (2 hour + 2 NP hours).
Topic 8 - Aerial and UAS LiDAR. Introduction. How it works. Technical characteristics. Instrumentation. Applications. Derivative products - Advantages and disadvantages compared to other techniques (1 hour + 3 NP hours).
Topic 9 - Government plans and initiatives: Plan for the development of the civil drone sector; white papers; Civil UAVs Initiative of the Xunta de Galicia - GAIN (1 hour of classroom work + 2 hours of non-classroom work).
Exhibition of works (3 hours + 3 hours NP)
Attendance at industry conferences (2 hours + 2 hours NP)
Practical contents (24 hours of classroom work + 18 hours of non-classroom work):
BLOCK I.- Remote sensing (8 hours of classroom work + 8 hours of non-classroom work)
Practical 1 - Download of images. Image exploration. (2 hours face-to-face + 2 hours non-face-to-face).
Practical 2 - Cuts, masks, reproyections and index (3 hours +3 hours NP).
Practical 3 - Extraction of information. Classifications (3 hours + 3 hours NP).
BLOCK II.- DRONES (8 hours of face-to-face work + 8 hours of non-face-to-face work)
Practice 4 - Photogrammetricl survey from UAS images. Mosaic and exploitation of the image indices (2 hours face-to-face + 2 hours non-face-to-face).
Practice 5 - Multispectral survey from UAS images. 3D model (3 hours + 3 hours NP)
Practice 6 - UAS flight practice in manual mode and formation of the 3D model (3 hours + 3 hours NP)
Visit to the Rozas Airborne Research Centre (INTA- CIAR) (4 hours + 1 hours NP)
Visit to Rozas Aerodrome (AeroLugo) (4 hours + 1 hours NP)
Basic bibliography
- Chuvieco Salinero, E. “Teledetección ambiental” Ed Ariel Ciencia. 2006.
- GIL DOCAMPO, Mª L; ARMESTO GONZÁLEZ, J. Apuntes de teledetección. Ed.Unicopia. ISBN 84-89189-2. 53 pp. Lugo. 2002
- Plan Estratégico para el desarrollo del sector civil de los drones en España 2018-2021. Ministerio de fomento. https://www.fomento.gob.es/MFOM/LANG_CASTELLANO/PLANES/PLAN_DRONES_2018…
- González-Jorge, H.; Martínez-Sánchez, J.; Bueno, M.; Arias, A.P. Unmanned Aerial Systems for Civil Applications: A Review. Drones 2017, 1, 2.
- Esteban Herreros, José Luis (coord.) (2015). Los Drones y sus aplicaciones a la ingeniería civil. Fundación de la Energía de la Comunidad de Madrid. https://www.fenercom.com/pdf/publicaciones/Los-Drones-y-sus-aplicacione…
Complementary bibliografía
- J. Ortiz-Sanz, M. Gil-Docampo, T. Rego-Sanmartín, M. Arza-García, G. Tucci. A PBeL for training non-experts in mobile-based photogrammetry and accurate 3-D recording of small-size/non-complex objects. Measurement (178) 2021.
- Jensen, J. R. Introductory Digital Image Processing: a Remote Sensing Perspective. Upper Saddle River: Prentice Hall. 1996.
- Lillesand, T and Kiefer R. Remote Sensing and Image Interpretation. John Wiley and Sons. USA. 1994.
- Ponencias del Congreso CivilDRON (2016, 17 y 18). https://www.civildron.com/pages/ponencias-congreso-civildron.html
- Civil UAVs Initiative. Xunta de Galicia. http://www.civiluavsinitiative.com/es/#segunda-seccion
- Sobrino, J. A."Teledetección" Universitat de Valencia.2001.
- Sungjae Lee & Yosoon Choi (2016) Reviews of unmanned aerial vehicle (drone) technology trends and its applications in the mining industry, Geosystem Engineering, 19:4, 197-204, DOI: 10.1080/12269328.2016.1162115
- Yan Li & Chunlu Liu (2019) Applications of multirotor drone technologies in construction management, International Journal of Construction Management, 19:5, 401-412, DOI: 10.1080/15623599.2018.1452101
At the end of the course, the students should acquire the following competences:
CG4 – To know the technological needs of the society and the industry. Students should be able to improve services and production processes by applying current technology of robotics, by selecting, acquiring and set up of robotic systems in different applications, both in industry and in services.
CB3 - Gather and interpret relevant data (usually inside his area of study) to raise judgements that include social, scientific or ethical thinking.
CB4 - Transmit information, ideas, problems, and solutions to both specialized and no-specialized audiences.
CB5 - The capacity to study new topis with a high degree of autonomy.
Transversal competences:
CT1 - Capacity of analysis and synthesis.
CT2 - Capacity for the reasoning and discussing.
CT3 - Capacity of individual work, with self-criticism attitude.
CT4 - Capacity to work in group and cover problematic situations in a collective way.
CT5 - Capacity to obtain adequate, diverse and updated information. <
CT6 - Capacity to elaborate and present an organized and comprehensible text. <
CT7 - Capacity to make and present in public a clear, concise and coherent information.
CT8 - Commitment of veracity of the transmitted information.
CT9 - Skilled use of technologies of the information and communication (TIC).
CT10 - Utilization of information available in the specialized bibliography and on the internet.
CT12 - Capacity to resolve problems by means of the integrated application of his knowledges.
Specific competences:
CE9 - Know the usual sensors in robotics, his operation, as well as the methods and technical for the treatment of the information attracted.
The knowledges and skills will obtain through the following activities:
• Interactive master classes. Making of presentations through a computer (Competitions worked: CG4, CT8, CE9)
• Practices in laboratory, in computer rooms, or in-field. (Competitions worked: CB5, CT9, CT12, CE9)
• Technical visits to companies and institutions, and assistance to seminars and conferences. (Competitions worked:CG4, CB5)
In addition, the following methods will be employed:
• The Virtual Campus. (Competitions worked: CT9)
• Preparation and presentation of works. (Competitions worked: CB3, CB4, CT1, CT4, CT5, CT7, CT10)
• Individual and collective tutoring sessions (Competitions worked: CT2)
• Autonomous work of the students. (Competitions worked: CT3)
• Competences evaluation by means of evaluation tests (Competitions worked: CT6)
The following modalities of evaluation will be taken into account:
• 50% of the mark: Effective usage of the practices (CG4, CB3, CB4, CB5, CT1, CT2, CT5, CT6, CT9, CT12). Minimum grade to average must be 4.
• 30% of the mark: Written exam which will evaluate all the acquired knowledge. (CG4, CT8, CE9, CB4, CT1, CT2, CT3, CT6, CT12)
• 10% of the mark: Group work. (CB3, CB4, CT1, CT4, CT5, CT7, CT8, CT10)
• 10% of the mark: Compulsory visits to a technical organization (CG4, CB5)
The delay in the delivery of the practicals will be penalized with 10% of the mark.
In the case of repeater students that have surpassed the continuous evaluation or the examination, will conserve the punctuation reached during a new academic course, but will offer the possibility to repeat the evaluation.
The system described of evaluation will be the employee so much in the ordinary opportunity as in the extraordinary of recovery.
For cases of fraudulent performance of exercises or tests, the provisions of the "Normativa de avaliación do rendemento académico dos estudantes e de revisión das cualificacións" "(artigo 16 da Resolución de 15/6/2011 da USC, DOG de 21/7/2011)" will apply.
The students that have conceded dispenses of assistance to any of the educational activities programmed according to the had in the Instruction 1/2017 of the General Office, will be able to approve this matter by making the practical activities proposals in the subject (55%), an individual work (10%) and the official examination of the matter (35%).
This subject comprises 6 credits ECTS, which imply a total load for the student of 150 hours, that include 60 hours for the following activities of work in the education center:
• Master classes: 24 hours
• Interactive teaching: (classroom of computing, laboratory, etc.): 24 hours
• Another work in classroom (activities of evaluation, works, etc.): 12 hours
In addition, 90 hours will be invested in activities of personal work:
• Reading and study of the theoretical contents: 36 hours
• Realisation of work, report of practices and preparation of works: 18 hours
• Preparation of the exam: 36 hours
Regular attendance to the master classes and participation in the tutoring sessions.