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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.
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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.
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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.
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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.
The United Nations Office for Disaster Risk Reduction (UNDRR) launched on 15 May 2023 the flagship Words into Action guide on Multi-Hazard Early Warning Systems (MHEWS). The aim of the guide is to provide guidance for governments, and partners on how to institutionalize, operate, monitor, and strengthen people-centered inclusive approaches for effective multi-hazard early warning systems that enable early action. The guide includes content on several topics such as:
This is event is available for participation on an ongoing basis
This advanced-level training will focus on using remote sensing observations for monitoring post-fire impacts on watershed health, building off the ARSET training offered in 2021: Satellite Observations and Tools for Fire Risk, Detection, and Analysis. 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.
The primary audience for this training consists of local, regional, state, federal, and international organizations involved in resource and ecosystem management and disaster response. The secondary audience for this training are those with an interest in applying remote sensing data toward fire science.
The efforts of the United Nations Office for Outer Space Affairs (UNOOSA) to advance disaster management and emergency response in countries globally have been boosted with the University of Central Lancashire (UCLan) of the United Kingdom becoming the newest and the 27th Regional Support Office of the United Nations Platform for Space-based Information for Disaster Management and Emergency Response (UN-SPIDER).
This is event is available for participation on an ongoing basis
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.
The National Oceanic and Atmospheric Administration (NOAA) has recently upgraded its Probabilistic Storm Surge (P-Surge) model ahead of 2023 Hurricane Season beginning on June 1. The P-Surge is the primary model for predicting storm surge associated with high-impact weather, such as hurricanes and tropical storms. The version 3.0 advances storm surge modeling and forecasting for the continental United States, Puerto Rico, and the Virgin Islands.
As part of its efforts to provide advisory support to national disaster management agencies and other stakeholders in Africa, UN-SPIDER is carrying out an Institutional Strengthening Mission to South Africa from 8 to 12 May 2023.