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Presentation . 2021
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Application of Synthetic Aperture Radar (SAR) remote sensing in flood disaster management (Module 1)

Authors: Vanama, Venkata Sai Krishna;

Application of Synthetic Aperture Radar (SAR) remote sensing in flood disaster management (Module 1)

Abstract

The climate change projections by the Intergovernmental Panel on Climate Change (IPCC) envisage an increase in extreme precipitation events with riverine and flash floods throughout the globe. The maps depicting the flood-affected area produced in near real-time can help the decision-makers for effective disaster response management and damage assessment. Therefore, different modules are developed for flood disaster management using Synthetic Aperture Radar (SAR) remote sensing which helps the research and scientific communities. Module 1 describes the theoretical background for SAR based flood mapping as well as various methods and techniques for rapid flood mapping.

Keywords

Flood mapping, Sentinel-1, Thresholding algorithms, Disaster management

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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