Machine and Deep Learning using Remote Sensing to reach zero emission cities: A Survey

Abstract

Reducing the city emissions through focus actions is essential to fight climate change. The advancement of technology has opened new opportunities to support organizations and governments during mitigation actions. With this contribution, we offer an in-depth evaluation of how machine learning, deep learning, and remote sensing technologies can support the transition to zero-emission cities. The paper explores different application domains, describing recent works useful for energy assessment, facilities monitoring, laws enforcement and energy savings actions. Applying these solutions on a large base offers a real opportunity to develop new policies and operations for cities and planet Earth sustainability.