Add to ORKGThe aim of this thesis is to provide a source of information about damage assessment in forestry using deep learning. A large source of environmental information is provided by satellites imagery. Orbital devices are equipped with sensors that read the frequency variations in the terrestrial electromagnetic field. The information obtained by these devices is composed by collections of dots. Machine learning methodologies, however, have the ability to transform raw data into human-understandable output. Cloud and blur represent artefacts that need to be tackled to obtain high-quality imagery. For instance, a deep learning neural network, a Generative Adversarial Neural Network, can extrapolate the cloud compound from the image. Moreover, re...
