Master GEOMATICS

GEOGRAPHICAL INFORMATION: SPATIAL ANALYSIS AND REMOTE SENSING
Entry requirements
Students engaged in a programme of scientific masters (physics, geomatics, computer science...)_x000D_ ;
Master students in geography, agronomy, territory planning, ... with skills in image processing, data analysis, GIS and / or computer science, and wishing to specialize in remote sensing and spatial analysis.
Benefits of the program
This curriculum takes into account the identified needs in the field of geomatics, in particular thanks to the "skills and trades" survey conducted in 2013 by the French Association for Geographic Information, the GeoRezo network and the CNRS Research Group in Geomatics MAGIS . Students are therefore perfectly prepared for this professional field.
Acquired skills
This Master provides training in spatial remote sensing and geographic data analysis. It trains geomaticians capable of designing and implementing methods aimed at structuring, analyzing and visualizing vectorial geographic information and images (optical and radar), to enable the study of phenomena with a spatial component.
Registration details
Application de candidatures eCandidat et/ou Etudes En France.
Course venue
Ecole Nationale des Sciences Géographiques (ENSG)
6/8 avenue Blaise Pascal
Cité Descartes, Champs-sur-Marne
77455 MARNE LA VALLÉE CEDEX 2
Schedule of studies
4 to 6 months internship between April 1st and September 30th.
Your future career
This master is a combination of professional / research orientation. From a professional point of view, it allows to access to jobs of study engineer, research engineer, project manager in companies (digital geography, geomatics, geophysical prospecting, environment, defense, offices territorial studies or administrations). It also makes it possible to follow on with a PhD thesis with a subsequent postgraduate degree in higher education or in the research of public or semi-public bodies: CNRS, IGN, CNES, IPG, IRD, IRSTEA, INRA, INRIA, or foreign.
Professional integration
Examples of Jobs
- Engineer (Development, Instrumentation, Research,...), Project Manager, Information Systems Consultants.
Examples of PhD thesis:
Polarimetric radar data contribution for vegetation cartography in tropical environment (UPEM / ONFI)
- Identification and monitoring of poplar plantations by hypertemporal remote sensing (DYNAFOR)
- Qualification and interoperability of standards (LaSTIG - IGN)
- Characterization of inter-seismic tectonic deformations of the island of Taiwan by radar interferometry (LaSTIG - UPEM)
- Cartographic factories and urban factories: Volatile Geographical Information Potential for efficient and inclusive development in disadvantaged neighborhoods of Southern cities.
- Development of geographical indicators to contribute to the evaluation of city policies.
- Integration of major urban transport infrastructure in the city through roofing works. Assessment and decision support tools.
Study objectives
This Master provides training in spatial remote sensing and geographic data analysis. It trains geomaticians capable of designing and implementing methods aimed at structuring, analyzing and visualizing vectorial geographic information and images (optical and radar), to enable the study of phenomena with a spatial component.
Major thematics of study
Image Processing, Physics of the measurement, Vectorial Geographical Information, Geometrical Analysis, Spatia-temporal dynamics.
Study organization
Le premier semestre de M2 correspond à une formation théorique (environ 400 h réparties en cours, TD et projet) entre octobre et mars. Les cours comportent notamment des modules de mise à niveau en mathématiques, physique et informatique.
Le deuxième semestre de M2 correspond à un stage de longue durée.
Modalité d'admission en FI :
Sur eCandidat : admissibilité sur dossier, puis admission sur entretien.
International
The internship may be done abroad.
Partenariats :
LaSTIG, CESBIO, CNES, MNHN, PRODIG, ...
Mathematics for Geographic Sciences
Courses | ECTS | CM | TD | TP |
---|---|---|---|---|
Image Processing The aim is to refresh the fundamental scientific knowledge useful for other courses. The notions to be covered include vector calculation, 2D and 3D geometry, probabilities and statistics. Some of the notions covered will be illustrated during sessions using scientific calculation software such as MATLAB. Langue de l'enseignementFRANÇAIS / FRENCH | 3 | 15h | 15h | |
Remote sensing: Physics and Methods The objective of this course is to familiarise students with images in terms of computer representation, visualisation, basic statistics, global and local radiometric processing, geometric processing. Tutorials give students free access to Earth observation images using ENVI and BEAM VISAT processing software.
Langue de l'enseignementFRANÇAIS / FRENCH | 3 | 16.5h | 16.5h | |
Remote sensing: Applications Introducing the basic concepts of physics required to understand the specificities and processing of remote sensing data for their applications. The concepts covered are solar and terrestrial radiation energy (measurement physics), optical remote sensing and its applications, and radar remote sensing and its applications.
Langue de l'enseignementFRANÇAIS / FRENCH | 3 | 18h | 18h | |
Remote Sensing Project An overview of various remote sensing applications (Lidar, radar interferometry/polarimetry, hyperspectral remote sensing, UAVs, orbitography, precise georeferencing, geomorphology, surface movement interpretation, etc.) Langue de l'enseignementFRANÇAIS / FRENCH | 3 | 18h | 18h | |
Modelling and handling of geographic information The objective is to study a subject related to remote sensing. Topics are chosen by the students under the direction of a supervisor. They can be aimed towards a specific thematic application by analysing the contribution of different sensors in remote sensing, or on the contrary, on the different applications of a specific sensor. Langue de l'enseignementFRANÇAIS / FRENCH | 3 | 3h | 27h | |
Geometric analysis of geographic data Theory of geographic vector data modelling, data acquisition and GIS. Geographical databases. Geographic data handling using PostGIS (including extensions) and QGIS software in order to more easily follow other modules dealing with vector geographic data. Langue de l'enseignementFRANÇAIS / FRENCH | 3 | 15h | 30h | 3h |
Statistical analysis of geographic data Introduction to the classical tools (geometric operators and indicators, auxiliary structures such as graphs or triangulations) allowing to extract information present only implicitly in vector and DTM geographic data. Work on the design and implementation of an analysis method based on these basic tools to respond to a given problem: characterising data by their shape or spatial configuration, performing accessibility calculations, etc. The notions seen in the form of an introduction in the M1 classes are reinforced and added to, and the diversity and volume of data processed is increased. Langue de l'enseignementFRANÇAIS / FRENCH | 3 | 15h | 18h | |
Analysis of space-time dynamics Statistical methods and tools applied to geographic information. Work on the implementation of a scientific approach adapted to the different problems and geographical data studied: statistical description of the data to be analysed, proposal of indicators and classification methods, representation of statistical results, interpretation of these results. Langue de l'enseignementFRANÇAIS / FRENCH | 3 | 12h | 15h | |
SEMESTER 4 Analysis of different evolutionary phenomena: changes in the territory and movement of individuals. Manipulation of multi-date data, GPS or mobile phone traces, creation of historical data. Application to different themes: human and animal movements, simulation of urban and vegetation evolution. Langue de l'enseignementFRANÇAIS / FRENCH | 3 | 15h | 15h |
Tutored project in spatial analysis
Courses | ECTS | CM | TD | TP |
---|---|---|---|---|
GIS programming Tutored project in small groups, solving a spatial analysis problem proposed by a sponsor (a research laboratory). The objectives are the acquisition of autonomy in the modelling and spatial analysis of geographic vector data, in-depth study of a theme, communication with a sponsor who is not necessarily a specialist in spatial analysis and learning to work in a team. Langue de l'enseignementFRANÇAIS / FRENCH | 3 | 3h | 27h | 30h |
Initiation to scientific monitoring The objective of this module is to allow students to acquire or reinforce (according to their previous knowledge) their knowledge and know-how in programming in order to manipulate vector geographic data, to give them the basics of the Python language, and to introduce them to Python libraries for manipulating geographic data, including the QGIS API. Langue de l'enseignementFRANÇAIS / FRENCH | 2 | 15h | 15h | |
Cross-disciplinary methods of gathering and analysing results This subject aims, on the one hand, to open up the field of scientific and technical knowledge related to the Master's degree, thanks to oral presentations by French or English-speaking lecturers, organised with two other Master’s programmes in remote sensing in Paris. On the other hand, students are encouraged to explore a field of geomatics that they choose according to their interests or their professional project, during a bibliographical study conducted during the first four months of the year. This study is supported by two planned individual progress meetings, and results in a written and oral report. Langue de l'enseignementFRANÇAIS / FRENCH | 2 | 24h | ||
Start of semester project The aim is to enable students to learn about a certain number of methods and tools relating to the gathering and analysis of data in general, and which can be used in the other modules of the course: using heterogeneous geographic data, automatic learning, validating a classification method, etc. Langue de l'enseignementFRANÇAIS / FRENCH | 12h | 15h | ||
Projet de rentrée This project is carried out by the students from the beginning of the school year, in groups, with part-time supervision. Objectives: to stimulate class cohesion, to stimulate students' initiative and the pooling of their existing skills, to arouse their curiosity about future theoretical contributions, to give them experience of group work and oral feedback allowing them to benefit from non-summative feedback. Langue de l'enseignementFRANÇAIS / FRENCH | 9h | 9h | ||
Stage A 4 to 6 month internship on a subject defined by a host organisation which may be a research laboratory or a private or public company. Confrontation with the professional world and a real research question related to the themes studied during the IGAST Master 2. | 23 |
BIRI Venceslas (M1-M2)
Coordinator of the degree programFRISON Pierre-Louis (M2)
Academic coordinatorZERIZER Razika (M1-M2)
Academic secretaryMaster (en) GEOMATICS
M2GEOGRAPHICAL INFORMATION: SPATIAL ANALYSIS AND REMOTE SENSING
Summary
- Degree
- Master (en)
- Field(s)
- Sciences, technologies, santé
- Thematics of study
- GEOMATICS
- How to apply
- Initial Education / Continuing Education / Recognition of prior learning
- Course venue
Ecole Nationale des Sciences Géographiques (ENSG)
6/8 avenue Blaise Pascal
Cité Descartes, Champs-sur-Marne
77455 MARNE LA VALLÉE CEDEX 2
- Departments and Institutes
- Institut Gaspard Monge (IGM)
Une formation de
Partenaire(s)