Special Issue title: Satellite Remote Sensing for Meteorological Disaster Monitoring and Forecasting

https://www.mdpi.com/journal/remotesensing/special_issues/5399446443

Dear Colleagues,

Satellite remote sensing has changed meteorological science by allowing detailed and solid observation of Earth’s atmospheric and surface conditions. The climate change-driven increase in meteorological disasters like floods, droughts, heatwaves and wildfires makes remote sensing fundamental for monitoring, analyzing and forecasting such events. Satellite technology advancements provide crucial knowledge for disaster management, enhancing understanding and improving early warning systems. State-of-the-art monitoring and forecasting techniques are needed to mitigate possible impacts.

The aim of this Special Issue is to present recent developments in the use of satellite remote sensing for the monitoring and forecasting of meteorological disasters. It is expected to address core areas of geospatial science and environmental monitoring. Invited contributions may cover innovative techniques, data integration methods, and case studies that highlight the application of remote sensing for real-time disaster tracking, early warning, and post-disaster assessment.

In this Special Issue, original research articles and reviews are welcome. To provide a versatile survey of satellite remote sensing for meteorological disaster monitoring and forecasting, we invite submissions across a range of topics, including (but not limited to) the following:

• Techniques for integrating satellite data with ground-based observations and model outputs;
• Advanced data assimilation methods to improve meteorological disaster forecasting;
• Real-time systems for early detection of meteorological hazards;
• Recent satellite missions (e.g., GOES, Sentinel) designed for atmospheric monitoring;
• Algorithm for automating disaster detection and tracking;
• Studies linking satellite observation to climate-induced changes in disaster patterns;
• Remote sensing for evaluating the impacts of meteorological disasters;
• Techniques for assessing recovery and resilience in affected areas;
• Novel remote sensing technologies (e.g., radar) that enhance disaster monitoring capabilities;
• Applications of AI and machine learning in analyzing satellite data for forecasting.