Soil texture prediction using satellite imagery and machine learning (assigned to Sarwary and Moeinkhah)

Teacher: Giovanna Venuti

Tutor: Giovanna Venuti

Project description: The project requires to develop a classification model trained on multispectral images to distinguish between clay and sand at different soil depths.

The project foresees the use of an established methodology but on different satellite data and possibly on different test areas and compare the results based on confusion matrices.

Technologies: Python, Jupyter Notebook, QGIS, Google Earth Engine