This is a course that covers the topics of extreme weather events, specifically typhoons, droughts, and floods, and how remote sensing and artificial intelligence techniques can be used to assess and monitor these events. The course covers the atmospheric and oceanic factors that contribute to the development of typhoons, as well as the vulnerability of different regions to typhoons. Additionally, the course covers the use of machine learning algorithms, such as the Grid-based Long-Short Term Memory (LSTM) method and Random Forest combined with Boruta feature selection, for typhoon track prediction and tropical cyclone classification. The course also covers the monitoring of drought using satellite imagery and data assimilation, and the assessment of drought vulnerability in different regions. Finally, the course covers the use of remote sensing, specifically satellite remote sensing and Synthetic Aperture Radar (SAR) data, for flood monitoring and damage assessment. Throughout the course, students will have the opportunity to work on a project proposal related to water cycle and drought.