Land monitoring by advanced satellite remote sensing - Sustainable food production monitoring

Teacher(s)

Bontemps Sophie; Defourny Pierre;

Language

English
> French-friendly

Prerequisites

LBIRE2102 Géomatique appliquée ou cours d'introduction équivalent à la télédétection
LBRAT2104a Land monitoring by advanced satellite remote sensing
Compétences en programmation (R, python)
Cours connexes:
LBRAT2102 Modélisation spatiale des dynamiques territoriales
LBRES2101 Technologies intelligentes pour l'ingénierie environnementale
LBRAI2221 Agriculture de précision et mécanisation

Main themes

This module is a complement of the main course LBRAT2104a and aims to develop in-depth understanding of the challenges and potential of Earth Observation to support operational agriculture monitoring systems. The strengths, assumptions, and shortcomings of current operational early warning systems and crop monitoring systems are discussed based on a technical analysis of workflows and a quality assessment of input data sources. The European Copernicus Services and the monitoring systems of the European Common Agriculture Policy are analyzed. Further developments are designed to better support the agricultural transformation towards sustainable practices. In the context of the big data era designing end-to-end solutions that are fit for purpose is discussed in order to tackle the challenges of sustainable food production.

Content

The sub-course LBRAT2104B has sub-course LBRAT2104A as a prerequisite. These two sub-courses are complementary and must be taken in the same year. The sub-course LBRAT2104B consists of teaching and case-study analysis primarily based on free/open-source software and the analysis of descriptions of existing operational systems. In addition to Copernicus services, the course discusses in depth various technical solutions addressing the following topics:

• global early warning systems for food security,
• pasture monitoring systems,
• national, continental, and global crop monitoring systems,
• agricultural statistics (crop) production systems,
• certification support systems for regenerative or sustainable agriculture.

Teaching methods

The lessons are interactive and rely heavily on the critical analysis of existing systems. The course aims to develop, on the one hand, advanced technical skills in the design of operational systems based on earth observation data, and, on the other hand, the ability to critically analyze existing and forthcoming solutions, services, and products.

Evaluation methods

The assessment is based on the presentation, discussion, and critical analysis of the end-to-end design of an application to support regenerative agriculture and/or food security (a concrete application of the student's choice). The entirety of the course material must be drawn upon in the critical analysis and in responding to questions during the examination.

Other information

This course is part of the Certificate in Applied Geomatics accessible to professionals as part of continuing training.

This course might be taught in English.

Online resources

The oral lecture, the lecture slides, and the practical exercise materials constitute the teaching materials for this course. The lecture slides and practical exercise materials are available on the course's Moodle page. Digital resources, such as open-source libraries (in R and Python), are also available.

Teaching materials

• No paid reference textbook needs to be purchased for this course.

Faculty or entity

> AGRO