2024-2025 / GEOG0054-1

Geospatial data collection

Duration

25h Th, 25h Pr, 2d FW

Number of credits

 Bachelor in geography : general5 crédits 

Lecturer

Roberta Ravanelli

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

The "Geospatial Data Collection" course will enable you to master the key principles related to the collection of geospatial data. Your objective is to complete the course by carrying out the various labs which will lead you to prepare the final project.


To help you realize this project, I provide you with 3 tools:
- Theoretical lectures, to prepare you and allow you to rely on a clear basis
- Labs, to directly apply theoretical learning
- Supervised support based on the deliverables of the labs.


Content of the teaching units

The spatial data acquisition process

Standard spatial acquisition instruments/methods

Introduction to reference surfaces and coordinates

Geodetic systems

Remote Sensing fundamentals

Big Geo Data

Retrieval of Volunteered Geographic Information

Photogrammetry fundamentals (3D reconstruction, orthoimage and DSM)

3D scanning fundamentals

Learning outcomes of the learning unit

Be able to analyze a real situation, and propose a suitable Geospatial Data Collection survey method.

Prerequisite knowledge and skills

  • Geodetic systems
  • Geometry and trigonometry
  • Use of word processing softwares
  • Use of spreadsheets and/or programming scripts
  • Make a professional presentation
  • Réalisation de présentation par diaporama

Planned learning activities and teaching methods

You will carry out labs that lead to reports, calculations and/or support to validate the acquisition of skills.

In other words, to do this training I ask you to acquire all the essential skills of a professional.

In the labs, I give you a list of deliverables or tasks to be carried out in compliance with requirements. 

The idea of project-based pedagogy is to enable you to learn under conditions that are as realistic as possible. So the projects push you to:

Contextualize your practices
Plan your work in the short/medium/long term
Find the information you need to solve a problem
Present your work publicly
Improve yourself with resources and feedback

The logistical and scheduling organization can be variable, but a certain amount of theory will be provided before each lab is carried out. 

Mode of delivery (face to face, distance learning, hybrid learning)

It is a face-to-face teaching. The theoretical and practical sessions in controlled autonomy take place on the day scheduled in the course schedule.

Course materials and recommended or required readings

Platform(s) used for course materials:
- Microsoft Teams


Further information:

Course slides will be available om Teams platforms and regularly updated after each class

Exam(s) in session

Any session

- In-person

oral exam

Written work / report

Continuous assessment


Further information:

Exam(s) in session

Any session

- In-person

oral exam

- Remote

oral exam

Written work / report

Continuous assessment


Additional information:

In the oral exam the students will present their final project, for which they have to prepare also a written report.

The submission of labs reports are a prerequisite.

A permanent non-certifying self-assessment is ensured during the lab sessions by strong interaction between students and teachers.

The questions asked during the student's support are inspired by the imperfections of the different deliverables.

The evaluation criteria are: clarity, coherence, logic, rigour, precision, exhaustiveness, conciseness, relevance, transversality (within and between courses), quality of mathematical interpretations (e. g. mathematical significance of different coefficients in equations), physical (e. g. dimensions and units, order of magnitude - scaling) and geographical (single and multivariate spatial-temporal interaction and nature - type - and significance of variables - e. g.).

The critical sense of the data used (qualification, nature, meaning, representativeness, standardization, etc.) and the methodological choices (justification of the choice of methods, appropriate thresholds, etc.) will also be taken into consideration during the evaluation.

In addition, the answers will also be evaluated on the basis of the quality and originality of the graphic illustrations, and the spirit of synthesis and relevance of the different deliverables.

The final defense is the outcome of the project.

Work placement(s)

Organisational remarks and main changes to the course

The course will be taught in English.

Contacts

Roberta Ravanelli, Chargée de Cours

Unité de Géomatique, Allée du Six Août, 19

email: roberta.ravanelli@uliege.be

Association of one or more MOOCs