TerraSens (Technopole El Ghazala)
TunisiePublication : 13 janv. 2026
Climate, Water & Agriculture - PFE 04 - Soil Moisture & Soil Temperature Monitoring using EO & AI
- Stage
- 4-6 mois
- Hybride
- Échéance : 27 janv. 2026
- Remote Sensing
- Data Science & Machine Learning
- Software Engineering (Python)
- Data analysis and process management
Description du poste
Context Soil moisture and temperature are key variables for irrigation management, crop monitoring, and environmental analysis, but are difficult to monitor continuously at large spatial scales.
Objectives
- Estimate soil moisture and temperature using Earth Observation and climate data
- Analyze spatial and temporal variability of soil conditions
- Apply AI models for improved estimation accuracy
Main Tasks
- Process Sentinel-1, Sentinel-2 and climate datasets
- Develop EO- and AI-based estimation models
- Evaluate model performance using reference datasets
Required Skills
- Remote sensing
- Machine learning
- Python
- Data analysis