Data analysis methods

Management of information extraction methods from the results of an UAS flight. Basic competences to address the subjects of thematic applications.

The verified memory includes the following contents: Radiometric correction, geometric correction and generation of orthoimages. Multispectral data analysis (spectral indices; enhancements and adjustments). Classification methods supervised/unsupervised; pixel-oriented/object-oriented; error analysis). 3D analysis (classification of Lidar point clouds; generation of terrain models and surface models; SfM point clouds).

These contents will be developed as follows:
EXHIBITION SESSIONS:
T01.- Cameras and images (1 FH + 2,4 SWH)
T02.- General method of photogrammetry (1 FH + 2,4 SWH)
T03.- Ground control points (2 FH + 4,8 SWH)
T04.- Digital terrain models (2 FH + 4,8 SWH)
T05.- Orthophotogrammetry (2 FH + 4,8 SWH)
T06.- Remote sensing basics (2 FH + 4,8 SWH)
T07.- Image processing (2 FH + 4,8 SWH)


INTERACTIVE SESSIONS:
P01.- Internal orientation process. Calibration (2 FH + 4,8 SWH)
P02.- Camera calibration (2 FH + 4,8 SWH)
P03.- Processing of a flight with ground control points (4 FH + 9,5 SWH)
P04.- Multispectral image processing: raster operations (2 FH + 4,8 SWH)
P05.- Processing of a flight with multispectral sensor (4 FH + 9,5 SWH)
P06.- Processing of a flight with thermal sensor (8 FH + 19 SWH)
S01.- Visiting the Rozas aerodrome (4 FH + 9,5 SWH)
S02.- Using on-board GPS-RTK (2 FH + 4,8 SWH)
S03.- Use of LiDAR sensors in UAS (2 FH + 4,8 SWH)


FH = Face-to-face Hours
SWH = Self-Work Hours

BASIC BIBLIOGRAPHY:
(1) Lerma García, J.L. (2002). Fotogrametría moderna: analítica y digital. Valencia: Universidad Poiltécnica de Valencia
(2) Shenk, T. (2002). Fotogrametría digital. Barcelona: Ed. Marcombo
(3) Pádua, L., Vanko, J., Hruška, J., Adão, T., Sousa, J. J., Peres, E., & Morais, R. (2017). UAS, sensors, and data processing in agroforestry: a review towards practical applications. International Journal of Remote Sensing, 38(8-10), 2349-2391.
(4) Tang, L., Shao, G. (2015). Drone remote sensing for forestry research and practices. Journal of Forestry Research, 26(4), 791-797.

COMPLEMENTARY BIBLIOGRAPHY:
(1) Malveaux, C., Hall, S. G., Price, R. (2014). Using drones in agriculture: unmanned aerial systems for agricultural remote sensing applications. In 2014 Montreal, Quebec Canada July 13–July 16, 2014 (p. 1). American Society of Agricultural and Biological Engineers.
(2) Cancela, J.J. y González, X.P. (2018). Uso de drones y satélites en agricultura: actas de horticultura de III Symposium Nacional de Ingeniería Hortícola y I Symposium Ibérico de Ingeniería Hortícola: celebrado del 21 al 23 de febrero de 2018, en Lugo 978-84-697-9314-5
(3) Díaz, J. y Cervigón, J. (2015). Estudio de Índices de vegetación a partir de imágenes aéreas tomadas desde UAS/RPAS y aplicaciones de estos a la agricultura de precisión. Madrid: Universidad Complutense.

Basic and general skills:
CB7, CB9, CB10, CG5

Transversal skills:
CT2, CT4, CT5, CT6, CT7, CT8, CT9

Specific skills:
CE2

DESCRIPTION OF THE COMPETENCIES:
CB7 - Students will know how to apply the acquired knowledge and their ability to solve problems in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their area of study.
CB9 - Students will know how to communicate their conclusions and the knowledge and ultimate reasons that support them to specialized and non-specialized audiences in a clear and unambiguous way.
CB10 - Students will possess the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous.
CG5 - Students will know and be able to apply the principles and methodologies of research such as bibliographic searches, data collection, and their analysis and interpretation, as well as the presentation of conclusions, in a clear, concise and rigorous way.
CT2 - Ability to communicate orally and in writing in the Galician language.
CT4 - Development of the innovative and entrepreneurial spirit.
CT5 - Interpersonal relationship skills.
CT6 - Capacity for teamwork.
CT7 - Organizational and planning skills.
CT8 - Capacity for analysis and synthesis.
CT9 - Critical reasoning ability and creativity.
CE2 - Knowledge of geomatic, photogrammetric and cartographic principles, of navigation, aerial triangulation, interpretation and digital treatment of images, as well as of existing good practices in the operation of unmanned aerial systems and know how to apply current regulations.

COMPETENCIES: CE02
- Master session through ICT.
- Practical session through ICT. Practice trip to the Rozas aerodrome (Lugo).
- Tutored work.

COMPETENCIES: CT02, CT04, CT05, CT06, CT07, CT08, CT09
- Practical session through ICT.
- Tutored work.

COMPETENCIES: CB07, CB09, CB10, CG05
- Tutored work.

1) STUDENTS CURSING THE SUBJECT FOR THE FIRST TIME:
[EC] Continuous monitoring of attendance and active participation (10%)
The student will have questionnaires that they will have to carry out in the virtual classroom, as well as practical activities for the application of the acquired knowledge, obtaining a grade out of a maximum of 10 points.
SKILLS: CE2, CT2, CT4, CT5, CT6, CT7, CT8, CT9, CB7, CB9, CB10, CG5
[EX] Periodic tests and/or final test (50%)
The exam will consist of theoretical and practical questions scoring a total of 10 points.
SKILLS: CE2
[PR] Realization of practical works and tutored works (40%)
The student must deliver the practical activities that are being carried out, scoring with a total of 10 points. In the case of a practical trip, attendance will be mandatory. The evaluation of this activity will be computed under this heading.
SKILLS: CT2, CT4, CT5, CT6, CT7, CT8, CT9, CE2

2) STUDENTS WHO DID NOT PASS THE COURSE IN PREVIOUS YEARS:
- You will be evaluated with the same criteria as the students enrolled for the first time.

ADITIONAL INFORMATION:
- The evaluation of the first and second opportunities will be carried out using the same criteria.
- In cases of fraudulent completion of exercises or tests, the provisions of the Regulations for the evaluation of academic performance of students and the review of qualifications will apply.

The study times established in this course are:
- Theoretical lectures: 12 hours
- Interactive classes (practicals/seminars): 30 hours
- Gupal tutorial: 3 hours
- Personal study, reading and finishing homework: 100 hours

- Attendance at all theoretical and practical sessions.
- Daily consultation of the virtual campus.
- Attendance at group tutorials to discuss, clarify or resolve any doubts.

DISPENSE OF ASSISTANCE:
Students who are granted this exemption must follow the course through the Virtual Campus, making all the necessary deliveries to obtain a positive grade in EC, PR and EX respectively.

IMPORTANT:
It is mandatory to have the necessary means (camera, microphone, etc.) to demonstrate presence in classes when participation is remote. Participation in Microsoft Teams without the availability of such means will result in expulsion from the session.