Teacher: Giovanna Venuti
Tutor: Dr. Daniela Stroppiana – CNR-IREA
Project description: Wildfires can impact lake water quality. LSTM models can be exploited to predict the concentration of Chlorophyll-a and the turbidity of lakes in burned and unburned catchments. The project aims at developing and implementing an LSTM model that takes into account together with other predictors also fire occurrence and severity. The model can be used by researchers to ass the impacts of fires.
Technologies: Python, Jupyter Notebook, QGIS, Google Earth Engine