Universidad de Jaén

THEORY PROGRAMME

MODULE 01: NEAR OBJECT PHOTOGRAMMETRY

1. INTRODUCTION.

1.1 New methods and tools for the acquisition of geospatial data.

1.2 High resolution photogrammetry and remote sensing. LiDAR. Data fusion.

2. NEAR OBJECT PHOTOGRAMMETRY SYSTEMS

2.1 New instrumentation: metric and non-metric cameras.

2.2 Panoramic sensors: panoramic and spherical cameras.

2.3 Data processing: orientation (Structure from Motion, SfM) and point cloud generation (Multi View Stereo, MVS). Real-time processing (Visual simultaneous localisation and mapping (SLAM).

2.4 SfM-based photogrammetry systems. Commercial systems. Free software.

MODULE 02: AERIAL PHOTOGRAMMETRY AND HIGH-RESOLUTION REMOTE SENSING

1. AERIAL PHOTOGRAMMETRY. NEW TRENDS.

1.1 Photogrammetric cameras.

1.2 Oblique photogrammetry.

2. HIGH RESOLUTION REMOTE SENSING.

2.1 Copernicus Land Observing System. SENTINEL sensors.

2.2 High and very high resolution satellites. SPOT 6&7, Pleaides 1A&1B, SkySat, WorldView sensors.

2.3 Sensor characteristics.

2.4 Image orientation (RPC). Product generation (DEM and Orthoimagery).

MODULE 03: SENSORS BASED ON LASER TECHNOLOGY

1. THE TERRESTRIAL LASER SYSTEM (TLS)

2. THE LIDAR SYSTEM. COMPONENTS, CONCEPTS AND EXAMPLES.

3. THE MOBILE MAPPING SYSTEM.

4. MIXED SYSTEMS. LASER/IMAGE.

PRACTICAL TRAINING PROGRAMME

MODULE 01: NEAR OBJECT PHOTOGRAMMETRY

Camera calibration.
Image block processing. Workflow with SfM/MVS. Product generation.
Panoramic image processing (cylindrical and spherical models).
MODULE 02: AERIAL PHOTOGRAMMETRY AND HIGH-RESOLUTION REMOTE SENSING

Sentinel sensors. Corrections, classification and indices.
Processing of high and very high resolution satellite images.
CITY-3D using oblique photogrammetry.
MODULE 03: SENSORS BASED ON LASER TECHNOLOGY.

TLS data processing.
LiDAR data processing.
Simultaneous LiDAR/image flight planning.

The contents of the course are linked to the following United Nations Sustainable Development Goals (SDGs):

Goal 4. Quality education. Specifically with target 4.4, Increasing skills for access to employment.

The methodology and activities of the subject are oriented towards the achievement of the learning outcomes linked to the competences of the subject. The teaching methodology will consist, on the one hand, of theoretical classes in which student participation is encouraged. On the other hand, practical classes consisting of the development of practical cases based on real projects and data, as well as the use of specific instruments and software on: sensors and high-resolution satellite images, oblique aerial images in urban environments, terrestrial images, laser sensors (aerial and terrestrial, both static -TLS- and mobile -MMS or mobile mapping system-), computer vision algorithms (Structure from Motion or SfM) and integration and fusion of data and results.

Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support

The purpose of the assessment system is to verify that students have acquired the learning outcomes foreseen in the subject. The assessment will consist of three parts: attendance and participation, theory+exercises and practicals.

The assessment of the first part will be carried out by means of attendance and participation control on the virtual platform in both theory and practical classes. Active participation is required throughout the course through the activities proposed on the virtual teaching platform.

The assessment of the theory+problems section will be carried out by means of an exam that covers the total theoretical and problem content of the subject.

Finally, the evaluation of the practical part will be based on the presentation and delivery of the reports corresponding to the practicals. The delivery of those activities (according to the instructions indicated in the activity) marked as compulsory will be a requirement for passing the practicals.

The final mark will be the result of a weighted average of the marks of the three parts (attendance + participation, theory + problems and practicals), with weights of 0.1 (0.05+0.05), 0.5 and 0.4 respectively.

In order to pass, it will be necessary to achieve a 5.0 in this average, but for the average to be calculated, it will be necessary to have achieved a minimum mark of 4 points in each of the parts.

The assessment of practical knowledge will be based on the presentation and, where appropriate, defence of the work carried out by the students. Those who do not pass this assessment may opt to take a global test of competences of the practical part.

Given the number of students and the classroom capacities, lessons and examination will be given at the classrooms/laboratories (100% in-class teaching).

LECTURES   

 Lectures will involve:

- Theoretical lessons by means of master classes with student participation. Lessons will be given on line (for example using Google Meet or ILIAS system), but also asynchronously by means of multi-media material.

- Practice lessons based on the use of project based learning examples, seminars and practice exercises. Material (data, tutorials, documentation, etc.) for the practical exercises will be provided by the lecturers. Practical lessons will be supported on line by ILIAS system and Google Meet. ), but also asynchronously by means of tutorials and multi-media material.

- Tutorials: on-line and e-mail.

ASSESMENT

The assessment has three parts: attendance, theory+exercises and practice.

Attendance (10%): attendance will be controlled both at theory and practice lessons. It is required at least a minimum of 75% attendance to the practical lessons and active participation on the Web-Learning System.

Theory+exercises (50%): on-line exam which includes the theoretical and practice contents of the subject and some exercises or problems. 

Practice (40%): the assessment is based on the submission of the projects and exercises made during the practice lessons and the actual own-developed project. If required, student can be requested to clarify how they did the exercises by means of on-line platforms (ILIAS, Google Meet, email, etc.).

The final mark will be the weighted average of the three parts (attendance, exam and practice), being the weights 0.1, 0.5 and 0.4, respectively. In order to pass the subject, it is necessary to get at least a mark of 5.0 but in order to compute the mark is mandatory to get at least 4.0 (4.0 out of 10) in all three parts.

Institution in charge of data processing: Universidad de Jaén, Campus Las Lagunillas, s/n, 23071 Jaén

Data Protection Delegate: dpo@ujaen.es

Purpose: In accordance with the Universities Law and other national and regional regulations in force, carrying out exams and assessment tests corresponding to the courses students are registered in. In order to avoid frauds while sitting the exam, the exam will be answered using a videoconference system, being able the academic staff of the University of Jaén to compare and contrast the image of the person who is answering the exam with the student's photographic files. Likewise, in order to provide the exam with evidential content for revisions or claims, in accordance with current regulation frameworks, the exam will be recorded and stored.

Legitimacy: compliance with legal obligations (Universities Law) and other national and regional regulations currently in force.

Addressees: service providers who are the owners of the platforms where the exams are carried out and with whom the University of Jaén has signed the corresponding data access contracts.

Storage periods: those established in current in force regulations. In the specific case of exam videoconference recordings, not before the examination records and transcripts are closed or the exam can still be reviewed or challenged.

Rights: you can exercise your right of access, amendment, cancellation, opposition, suppression, limitation and portability by sending a letter to the postal or electronic address indicated above. In the event that you consider that your rights have been violated, you may submit a complaint to the Andalusian Council for Transparency and Data Protection www.ctpdandalucia.es

Person in charge: Universidad de Jaén, Paraje Las Lagunillas, s/n; Tel.953 212121; www.ujaen.es

Data protection delegate (DPO): TELEFÓNICA, S.A.U. ; Email: dpo@ujaen.es

Procedure aim: To manage proper recordings of teaching sessions with the aim of facilitating learning process under a multimodal and/or online teaching

Period for record storage: Images will be kept during legal term according to regulations in force

Legitimacy: Data will be managed according to legal regulations (Organic Law 6/2001, December 21, on Universities) and given consent provided by selecting corresponding box in legal admission documents

Data recipients (transfers or assignments): Any person allowed to get access to every teaching modality

Rights: You may exercise your rights of access, rectification, cancellation, portability, limitation of processing, deletion or, where appropriate, opposition. To exercise these rights, you must submit a written request to the Information, Registration and Electronic Administration Service of the University of Jaen at the address above, or by e-mail to the address above. You must specify which of these rights you are requesting to be satisfied and, at the same time, you must attach a photocopy of your ID card or equivalent identification document. In case you act through a representative, legal or voluntary, you must also provide a document that proves this representation and identification. Likewise, if you consider that your right to personal data protection has been violated, you may file a complaint with the Andalusian Data Protection and Transparency Council www.ctpdandalucia.es