<p>Each year natural hazards such as earthquakes landslides avalanches tsunamis floods wildfires severe storms and drought affect humans worldwide resulting in deaths suffering and economic losses. According to insurance broker Aon 2010-2019 was the worst decade on record for economic losses due to disasters triggered by natural hazards amounting to USD 3 trillion which is USD 1 trillion more than for the period of 2000-2009. In 2019 the economic losses from disasters caused by natural hazards were estimated at over USD 200 billion (UNDRR Annual Report 2019). In this context remote sensing shows high potential to provide valuable information at various spatial and temporal scales concerning natural processes and their associated risks. The recent advances in remote sensing technologies and analysis in terms of sensors platforms and techniques are strongly contributing to the development of natural hazards research. With this Special Issue titled Remote Sensing for Natural Hazards Assessment and Control we proposed state-of-the-art research that specifically addresses multiple aspects on the use of remote sensing (RS) for Natural Hazards (NH). The aim was therefore to collect innovative methodologies expertise and capabilities to detect assess monitor and model natural hazards. The present Special Issue of <em>Remote Sensing</em> encompasses 18 open access papers presenting scientific studies based on the exploitation of a broad range of RS data and techniques as well as focusing on a well-assorted sample of NH types.</p>