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