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Near Real-Time Flood Monitoring and Impact Assessment Systems. Chapter 6; [Case Study: 2011 Flooding in Southeast Asia]
External Online Source: doi:10.1007/978-3-319-43744-6_6
Author and Affiliation:
Ahamed, Aakash(Universities Space Research Association, Greenbelt, MD, United States)
Bolten, John(NASA Goddard Space Flight Center, Greenbelt, MD United States)
Doyle, Colin(Texas Univ., Austin, TX, United States)
Fayne, Jessica(South Carolina Univ., Columbia, SC, United States)
Abstract: Floods are the costliest natural disaster, causing approximately 6.8 million deaths in the twentieth century alone. Worldwide economic flood damage estimates in 2012 exceed $19 Billion USD. Extended duration floods also pose longer term threats to food security, water, sanitation, hygiene, and community livelihoods, particularly in developing countries. Projections by the Intergovernmental Panel on Climate Change (IPCC) suggest that precipitation extremes, rainfall intensity, storm intensity, and variability are increasing due to climate change. Increasing hydrologic uncertainty will likely lead to unprecedented extreme flood events. As such, there is a vital need to enhance and further develop traditional techniques used to rapidly assess flooding and extend analytical methods to estimate impacted population and infrastructure. Measuring flood extent in situ is generally impractical, time consuming, and can be inaccurate. Remotely sensed imagery acquired from space-borne and airborne sensors provides a viable platform for consistent and rapid wall-to-wall monitoring of large flood events through time. Terabytes of freely available satellite imagery are made available online each day by NASA, ESA, and other international space research institutions. Advances in cloud computing and data storage technologies allow researchers to leverage these satellite data and apply analytical methods at scale. Repeat-survey earth observations help provide insight about how natural phenomena change through time, including the progression and recession of floodwaters. In recent years, cloud-penetrating radar remote sensing techniques (e.g., Synthetic Aperture Radar) and high temporal resolution imagery platforms (e.g., MODIS and its 1-day return period), along with high performance computing infrastructure, have enabled significant advances in software systems that provide flood warning, assessments, and hazard reduction potential. By incorporating social and economic data, researchers can develop systems that automatically quantify the socioeconomic impacts resulting from flood disaster events.
Publication Date: Oct 04, 2016
Document ID:
20170005896
(Acquired Jul 11, 2017)
Subject Category: EARTH RESOURCES AND REMOTE SENSING; METEOROLOGY AND CLIMATOLOGY
Report/Patent Number: GSFC-E-DAA-TN43601
ISBN: ISBN 978-3-319-43743-9
e-ISBN: e-ISBN 978-3-319-43744-6
Document Type: Book Chapter
Publication Information: Remote Sensing of Hydrological Extremes; p. 105-118; (ISSN 2198-0721)
Publisher Information: Springer
Financial Sponsor: NASA Goddard Space Flight Center; Greenbelt, MD United States
Organization Source: NASA Goddard Space Flight Center; Greenbelt, MD United States
Description: 14p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright
NASA Terms: AIRBORNE EQUIPMENT; CLIMATE CHANGE; COST ANALYSIS; DAMAGE ASSESSMENT; FLOOD DAMAGE; IMAGING SPECTROMETERS; IMPACT DAMAGE; PRECIPITATION (METEOROLOGY); REAL TIME OPERATION; REMOTE SENSING; SATELLITE IMAGERY; STORMS; CASUALTIES; DEVELOPING NATIONS; ECONOMIC IMPACT; FOOD; HYGIENE; MORTALITY; SANITATION; SYNTHETIC APERTURE RADAR; WATER RESOURCES; MODIS (RADIOMETRY)
Availability Source: Other Sources
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