The role of information technology (IT) in disaster situations is becoming more critical in this recent years, especially in mitigating and reducing the risks associated with the disaster effects. Modern information and communication technologies can significantly facilitate the decision-making processes from the point of view of disaster risk reduction.

Recently launched and upcoming satellites, such as the Meteosat Third Generation (MTG) satellite and the Metop - Second Generation (Metop-SG) will provide advanced capabilities and valuable data for monitoring fires and their impacts. This online course by EUMETSAT showcases a series of case studies and associated workflows in Jupyter notebooks for fire applications using proxy data from MTG and Metop-SG. The webinar will explore case studies focusing on fires affecting the area of Gironde, France, during the summer of 2022.

In the week from May 29 to June 1, EUMeTrain will hold an online Event Week on Heatwaves and Droughts. During the event week there will be a number of presentations which will cover different aspects of heatwaves and droughts, mainly focusing on satellite observations that can be used to study their impacts and causes. There will be a total of 15 presentations between the four days. 

This advanced-level training will focus on using remote sensing observations for monitoring post-fire impacts on watershed health. Specifically, this training will highlight uses of NASA Earth observations (EO) for pre-fire land cover mapping, watershed delineation and stream mapping, post-fire burn severity mapping, and pre- and post-fire riverine and freshwater water quality. This three-part training will highlight case studies that use remote sensing data for assessing the impacts of fires on watersheds.

This training is focused on the introduction of the NASA Land Information System (LIS) output of soil moisture at various depths for drought analysis and monitoring. As a result of the NASA Short-term Prediction Research and Transition Center (SPoRT) program and its research-to-operations (R2O) work, this training will demonstrate how LIS output of soil moisture from a land surface model (LSM) can be included in traditional drought monitoring applications.