International MAster in GEoscience and Remote Sensing (IMAGERS)

Objectives

The IMAGERS Master’s program focuses on data science (signal and image processing) and artificial intelligence (particularly deep learning methods) as applied to remote sensing in the fields of geosciences, Earth observation, and environmental monitoring.

Its goal is to train experts capable of designing, developing, and deploying intelligent digital systems to analyze data obtained through various imaging modalities (optical, radar, hyperspectral, lidar, thermal) in a variety of contexts. The program includes advanced courses in signal processing, image processing, artificial intelligence, and data science—cross-disciplinary skills central to the digital field.
It trains professionals capable of designing and operating complex digital systems in conjunction with industrial and/or natural systems.

Specificities

The program lies at the intersection of AI, computer vision, data science, remote sensing, and geosciences.
Earth observation, for example, will enable the development of applications for natural resource management and the monitoring of forest ecosystems. These skills can be directly applied by professionals in agriculture, the agri-food industry, and forestry—sectors that are strategic for the environmental transition.

Accreditation:
The IMAGERS International Master’s program is accredited by EFELIA - MIAI (Multidisciplinary Institute in Artificial Intelligence), a leading center in the field of artificial intelligence.

UGA ranks 20th worldwide in remote sensing, 33rd in Earth sciences, and is ranked in the 51–75 range in automation and control.


Feel free to sign up for a webinar introducing the International MAster in GEoscience and Remote Sensing with Pr. Jocelyn Chanussot, Master's Program Director.
(French time zone)
- Monday, November 9, 1:00 p.m.
- Friday, November 13, 9:00 a.m.
- Tuesday, November 17, 5:00 p.m.

Sign up to the Webinar
 

Apply now

Applications for the 2027-28 intake are open from October 15th, 2026 until April 15th, 2027.


Academic requirements

Contacts

Education contact

international.ense3@grenoble-inp.fr

Program

Advanced deep learning methods
80h 
Vision Transformers and Foundation Models, including self-attention, encoder-decoder architectures, generative AI systems, reinforcement
learning, diffusion models, LLM architectures, agentic AI, model compression
Lab part : hackathon

Satellite Radar imagery for Earth Observation
40h
Principles of SAR imagery, SAR interferometry, Radar Polarization and PolinSAR
- Missions and data.
- Processing and analysis of Radar data using deep learning
Labs : Example of applications of AI to geosciences using active Radar sensors

Seismic and Acoustic Sensing for the Environnement Monitoring
40h 
Signal Processing methods in seismic and acoustic applications; Multi sensors; Applications: seismic activity monitoring, sonar, distributed sensing
Labs : seismic/acoustic, integration of Agentic AI concept in the context of acoustic/seismic sensing

Optical remote sensing
40h
Remote sensing : radiative transfer, sensor technology, data processing,hyperspectral data analysis (atmospheric correction, image fusion, land
cover classification and data assimilation)

Advanced Topic in Remote Sensing
40h
 - Lidar sensing, applications in forestry.
- Thermal and infrared sensing
- AI and remote sensing for oceanography
- AI and remote sensing for the cryosphere
- Processing of GNSS (Global Navigation Satellite System) data

Seminars and MOOC
20H

WEBINAR
Feel free to sign up for a webinar introducing the International MAster in GEoscience and Remote Sensing with Pr. Jocelyn Chanussot, Master's Program Director.
(French time zone)
- Monday, November 9, 1:00 p.m.
- Friday, November 13, 9:00 a.m.
- Tuesday, November 17, 5:00 p.m.

Sign up to the Webinar

International mobility

Partnerships with Foreign Universities
The master’s program offers the opportunity to complete an internship abroad.
In particular, the program has strong ties with numerous universities in Italy, Spain, Germany, Sweden, Norway, Iceland, Switzerland, Japan, China, the United States, India, Australia, and more…

Careers

The geosciences use remote sensing as a tool to better understand the Earth. These cutting-edge skills are in high demand worldwide in engineering, whether in research and/or industry.
This program paves the way for a variety of careers involving AI and environmental monitoring: Data Science Engineer at environmental consulting firms, in satellite imaging for energy, water, and the environment, and more broadly in the geosciences.
The program’s cross-disciplinary skills in artificial intelligence and computer vision also open up opportunities to work in other sectors (biomedical, multimedia, quality control via machine vision, defense and security, etc.).