Duration
20h Th, 20h Pr
Number of credits
| Advanced Master in Risk and Disaster Management in the Anthropocene Era | 5 crédits |
Lecturer
Coordinator
Language(s) of instruction
French language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The components of an early warning system (EWS)
10 basic principles for a successful early warning system
Data and information for early warning systems
Models in EWS
Examples in crop disease monitoring, food security and flood forecasting
Presentation of an example of SAP by each student at the end of the course
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Early Warning Information Systems
Introduction to information systems (IS) for EWS
Evolution of national and international IS
Data access (stations, satellites, DIAS platforms, Copernicus)
Rainfall data and estimation methods
Vegetation data and NDVI indices
Fire data and environmental monitoring
Service development for early warning
Combined systems (IPC, Harmonized Framework, integrated climate approaches)
Case studies and practical work (national, regional, international IS analysis)
Learning outcomes of the learning unit
At the end of the course, the student will be able to make a critical analysis of an early warning system, to define its defaults, its limits and he/she will be able to propose its improvement.
At the end of the section on EWS-IS (Information Systems for Early Warning), the student will be able to:
Define and explain the role of IS in early warning systems.
Identify the components and actors of national, regional and international IS.
Use and compare different data sources (satellites, national databases, international platforms).
Handle and analyze indicators (rainfall, vegetation, fire, socio-economic) and thresholds.
Understand the challenges of interoperability, data access and IS governance.
Develop an integrated analysis (climate, agriculture, food security) using different IS.
Prerequisite knowledge and skills
No prerequisite
For IS-EWS, basic knowledge of climatology, agriculture and GIS recommended but not mandatory.
Planned learning activities and teaching methods
The basics of an EWS will be found from the vision of several videos. Then, this information will be structured to identify the fundamental elements of an EWS. A set of courses will then introduce students to the efficient acquisition of data and information and their association with models adapted to the specific context of EWS.
Students will be invited to present and criticize an example of EWS used in their country.
The course will end by a case study on a food security EWS
EWS Information Systems
Lectures on concepts, methodologies and actors.
Practical sessions on data access (Copernicus, DIAS, FEWSNET, FAO-GIEWS, etc.).
Case studies on national IS (e.g., Madagascar, Niger), regional IS (CILSS/Agrhymet, ICPAC), and international IS (FAO, FIRMS, CPC).
Exercises: mapping climate anomalies, drought indicators, IPC integration.
Group work: critical review of an existing IS and improvement proposals.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face teaching
Course materials and recommended or required readings
Further information:
Course notes made up of powerpoints, articles, podcasts, videos, ... will be provided at the start of each course.
- FAO, 2000, Handbook for establishing a SISAAR.
- Olivier de Sardan, J.-P. (2021). La revanche des contextes. Karthala.
- Websites: FEWSNET, AGRHYMET, ICPAC, Copernicus DIAS.
- Scientific papers on climate indicators, food security and IS.
Written work / report
Further information:
Any session :
- In-person
written exam ( open-ended questions )
- Remote
oral exam
- If evaluation in "hybrid"
preferred in-person
Additional information:
Closed book written exam
Work placement(s)
Organisational remarks and main changes to the course
Contacts
Bernard Tychon (Bernard.Tychon@uliege.be)
Bakary Djaby (Bakary.Djaby@uliege.be)