The work in the framework of the project focus of the studies of the dislocation field in the regions of glaciers, using remote sensing and artificial intelligence. Machine learning, due to their possibilities to recognize patterns, often invisible for human eye, can become a useful tool for the analysis of satellite radar images. Its application can allow creating new methods allowing the identification of the translocation field, based on SAR data. Finding a new method will allow better understanding phenomena taking place in the environment due to the climate. The obtained information will allow the verification the knowledge of the causes and results of the glacier movements and the detection of local anomalies within the glacier field.
Scientific supervisor: Prof. Ryszard Hejmanowski, Ph.D. Sc., Eng.
