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NASA ARSET Learning - Remote Sensing for Disasters Scenarios

NASA ARSET Learning - Remote Sensing for Disasters Scenarios
"How NASA remote sensing data can be used to characterize and monitor disaster-related events and support relief efforts" According to the WHO, every year disasters “kill around 90,000 people and affect close to 160 million people worldwide.” This training shows how NASA remote sensing data can be used to characterize and monitor disaster-related events and support relief efforts. Each session covers a different disaster and its supporting data. Disaster scenarios include tropical storms, flooding, earthquakes, and landslides. By the end of this training, attendees will be able to: Identify NASA data products to characterize and monitor disasters and support decision-making Understand the different data products available and their shortcomings Access and interpret data covered in the different sessions. This training was created by NASA's Applied Remote Sensing Training Program (ARSET). ARSET is a part of NASA's Applied Science's Capacity Building Program. Learn more about ARSET HERE. In case of any questions regarding the session, please feel free to reach out to Ana I. Prados, Ph.D., Research Associate Professor, Joint Center for Earth Systems Technology (JCET), University of Maryland Baltimore County at aprados@umbc.edu.
  • Learning Mode: 
    Series
  • Topics: Cleaning after Natural Disasters, Disaster Preparedness, Disaster Resilience, Disaster Resilient Cities, Disaster Risk Management, Disaster Risk Reduction, Sensorization, Tropical Storm, Emergency Preparedness, Tropical Cyclone, Cyclone, Windstorm, Flood Control, Flood Damage, Flood, Environmental Disaster, Satellite Networks, Hydrological Event, Natural Disaster, Natural Disaster Shocks, Earthquake, Landslide, Landslide Following Earthquake, Landslide Risk Reduction, Volcanic Disaster, Volcanic Activity, Geophysical Event
  • Keywords: 
    Earthquakes, Landslides, NASA, Disaster Risk Reduction, Disaster Management, post disaster management, Disaster Reduction and Recovery, Disaster Preparedness, disaster resilience, Disaster Resilient Cities, Emergency Preparedness, remote sensing, Volcanoes, Flooding, Floods, Tropical Storms, Storms, Landfall, Data Products, remote sensing data, Satellite Data, Tropical Cyclone, Cyclones, Storm Tracking, rainfall, Winds, Floods Mapping
  • Language: 
    English

Printed on:10 August 2022 - 10:56 AM