Archived Webinar

Part Two: Assessing the Risk of Floods and Cyclones using NASA Data

"A methodology for analyzing remote sensing and socioeconomic data to assess flood and cyclone risk."

Learn a methodology for analyzing remote sensing and socioeconomic data to assess flood and cyclone risk. Examples will be shown for an urban area (Houston, TX, USA) and a country (Mozambique). These case studies will use both historical and forecast data.

Learning Outline -

  • Examples of Hazard Assessment from Past Data for Disaster Risk Assessment (DRA)
  • Demonstrations:
  • Past Earth Observations to Assess Hazard Information
  • Application of Past Hazard Information for Near Real-time and Future DRA
  • Case Studies:
  • Cyclones over Mozambique
  • Extreme Rain over Houston

Prerequisites - 

These training resources are appropriate for professionals with no previous experience in remote sensing. Beginners are advised to complete the prerequisites before viewing this session.  

This session was created by NASA's Applied Remote Sensing Training Program (ARSET). ARSET is a part of NASA's Applied Science's Capacity Building Program. To learn more about ARSET, click 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.

Target Audience

The audiences for this training are local, regional, state, federal, and international entities, including public and private sector organizations engaged in disaster management, emergency responders, urban and infrastructure planners.

Questions Submitted

AMJAD

- Mar 27, 2022
Great

Manuel

- Jan 18, 2022
Good

Mahaman Mourtala

- Oct 1, 2021
Interesting webinar!

Joy Mildred Adhiambo

- Sep 14, 2021
Great Series

EBRAHIM

- Aug 16, 2021
Great and Interesting!

Jes�s Manuel

- Aug 11, 2021
Great Conversation

DR. YOGENDRA NATH

- Aug 8, 2021
Good.

Anvar

- Jul 13, 2021
Interesting!

Mohammad Nadir

- Jul 11, 2021
Great!

Ki

- Jul 10, 2021
great
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