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
Departments: Agroforestry Engineering
Areas: Cartographic Engineering, Geodesy and Photogrammetry
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:
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 (14 hours of classroom work and 18 hours of personal work)
Part 1 – Introduction to remote sensing through UASs and satellite sensors. Physical principles of remote sensing. (2.5 classroom hours + 3 personal hours)
Part 2 – Selection of platform and sensor. Characteristics: types of resolution, of orbit, of field of application. Hiperespectral remote sensing. Radar. (2.5 hours + 3 hours)
Part 3 – Corrections and digital treatments of the image. Sources of radiometric and geometric errors. Histogram of an image. Contrast and expansion. Types of filters. (3 hours + 4 hours)
Part 4 – Extraction and analysis of the information. Unsupervised and supervised classification. Steps of classification. Algorithms of classification. Measure of the spectral separability between classes. Verification of results. Sampling. Confusion matrix. (3 hours + 4 hours)
Part 5 – Multispectral cartography and indices for supporting the decision taking. Indices of vegetation, of soils, and of humidity. Main components analysis. (3 hours + 4 hours)
BLOCK II.- UASs (10 hours + 18 hours)
Part 6 – Information gathering through UASs. Platforms, sensors and general applications. Advantages and drawbacks of UASs. (1 hour + 4 hours)
Part 7 – Photogrammetry and remote sensing through UAS. Methodology of work. Planning and execution of flight missions. (2 hours + 4 hours)
Part 8 – Applications in the field of the Engineering. Architecture, heritage, industry. Agroforestry applications. Web services for results dissemination, for virtual flights and for 3D-print. (2 hours + 4 hours)
Part 9 – Aerial LiDAR onboard UASs. Introduction. Operating of these systems. Technical characteristics. Instruments. Applications. Derived products. Advantages and drawbacks, compared to other technologies. (1 hour + 3 hours)
Presentation of works. (1 hour)
Visit to the Rozas Airborne Research Center (CIAR) (3 hours + 3 hours)
Practical contents (24 hours of classroom activities and 18 hours of personal work by the student)
BLOCK I.- Remote sensing (14 on-site hours + 10 hours of personal work)
Practice 1 – Exploration of the image, corrections, cropping, mosaicking. (2,5 classroom hours + 2 hours of personal work)
Practice 2 – Basic digital treatments. Color compositions, enhancing, filtering. (3 hours + 2 hours)
Practice 3 – Advanced digital treatments. NDVI, SAVI indices. Pseudocolor. (3 hours + 2 hours)
Practice 4 – Main components analyses. (2,5 hours + 2 hours)
Practice 5 – Extraction of information. Classification, land uses. Digitalization (3 hours + 2 hours)
BLOCK II.- UASs (10 hours + 8 hours)
Practice 5 – Multi-spectral technology from images acquired through UASs. Mosaicking and analysis of the images. (3 hours + 2 hours)
Practice 6 – Photogrammetric projects from images acquired through UASs. Mosaicking and analysis of the images. (3 hours + 2 hours)
Practice 7 – Indices generated from the use of UASs: evolution of crops, detection of plots with deficiencies of productivity. Follow-up of vigor of plantations, soil humidity, fertility level. (2 hours + 2 hours)
Practice 8 – Examples of LiDAR data visualization and processing (2 hours + 2 hours).
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
- 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:
Transversal competences:
Specific competences:
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:
• 55% of the mark: Effective usage of the practices (CG4, CB3, CB4, CB5, CT1, CT2, CT5, CT6, CT9, CT12)
• 25% of the mark: Written exam which will evaluate all the acquired knowledges. (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: Visit to a technical organization (CG4, CB5)
In the case of students repetidores 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.
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 making the practical activities proposals in the subject, an individual work and the official examination of the matter.
This subject comprises 6 credits ECTS, which imply a total load for the student of 150 hours, that include 56 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.): 8 hours
In addition, 94 hours will be invested in activities of personal work:
• Reading and study of the theoretical contents: 36 hours
• Realisation of work and report of practices: 18 hours
• Preparation of works: 8 hours
• Preparation of the exam: 32 hours
Regular attendance to the master classes and participation in the tutoring sessions.
Contingency plan:
All the information in previous sections refer to the Scenario 1 (normality adapted without restrictions to the physical presence), where all the activities are face-to-face. In case to be necessary owing to the pandemy, for the Scenario 2 (distancing, with partial restrictions to the physical presence) the master classes will be online and the interactive teaching will be divided between 50% with personal presence and another 50% of online format. For the Scenario 3 (closing of the installations, and impossibility to give teaching with physical presence), telematic means for the follow-up of the teaching will be employed, as well as the tutoring session and presentation of works. For all of the Scenarios, the evaluation will include two opportunities by means of the delivery of the practices report and the realisation of the face-to-face or telematic examination (depending on the Scenario).
The teaching (face-to-face or online) will be complemented, in any one of the Scenarios, by the tools and available resources in the Virtual Campus.
In any Scenario: for the cases of plagiarism or any fraudulent realisation of exercises or proofs, the measres indicated in the “Normativa de avaliación do rendemento académico dos estudantes e de revisión de cualificacións” will be taken.
María De La Luz Gil Docampo
Coordinador/a- Department
- Agroforestry Engineering
- Area
- Cartographic Engineering, Geodesy and Photogrammetry
- ml.gil [at] usc.es
- Category
- Professor: University Lecturer
Guillermo Bastos Costas
- Department
- Agroforestry Engineering
- Area
- Cartographic Engineering, Geodesy and Photogrammetry
- Phone
- 982823214
- Category
- Researcher: Juan de la Cierva Programme
| Thursday | |||
|---|---|---|---|
| 11:00-14:00 | Grupo /CLE_01 | Spanish | Computer Room 5 (Pav III) |
| 06.01.2022 16:00-20:00 | Grupo /CLE_01 | Classroom 7 (Lecture room 2) |
| 07.06.2022 16:00-20:00 | Grupo /CLE_01 | Classroom 7 (Lecture room 2) |