Remote Sensing Makes it Possible: Prediction and Evaluation of Natural Hazards

Dear Colleagues,

Disasters have always accompanied human society. The progress of modern civilization has made populations and wealth more concentrated, which is more likely to produce significant losses, secondary disasters, and even chain effects in the face of major disasters. For example, the earthquake and tsunami disaster in Japan on March 11, 2011, caused a large number of casualties as well as property losses and led to secondary disasters, such as nuclear power plant leakage. Disasters have become a key factor threatening the sustainable development of humankind. Remote sensing can obtain global observation data from multi-band, multi-time, and all-weather angles and has the ability of global observation, which is irreplaceable in disaster monitoring. In recent years, the spatial resolution of remote sensing has been rapidly improved, the recognition accuracy has been gradually enhanced, and the time of the repeated observation of ground objects has been continuously shortened. Remote sensing technology has been widely used in the monitoring, assessment, and early warning of disasters. Remote sensing technology is mainly used in earthquakes, landslides, droughts, climate change, and other disasters.

Furthermore, remote sensing data processing methods are the research hotspot because it poses various challenges. Remote sensing technology provides strong technical support for predicting and evaluating disasters. The deep coupling of remote sensing coordination monitoring and emergency response technology systems can significantly reduce the impact of disasters on human beings. We encourage the contribution of remote sensing technology to predicting and evaluating disasters, such as earthquakes, tsunamis, typhoons, rainstorms, hazes, sandstorms, droughts, forest and grassland fires, snow disasters, and floods.

Prof. Dr. Zhongtai He
Prof. Dr. Wenliang Jiang
Dr. Dong Li
Dr. Erick Mas
Guest Editors

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