Master’s Thesis Presentation • Artificial Intelligence • On the Data Quality of Remotely Sensed Forest Maps
Please note: This master’s thesis presentation will take place online.
Shadi Ghasemitaheri, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Lukasz Golab
Accurate forest monitoring data are essential for understanding and conserving forest ecosystems. However, the remoteness of forests and the scarcity of ground truth make it hard to identify data quality issues.