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Towards Using Remote Sensing and Social Media Data for Flood Mapping
Zainab Akhtar
author
Ferda Ofli
author
Muhammad Imran
author
2021
Virginia Tech
Blacksburg, VA (USA)
English
Ghana's capital, the Greater Accra Metropolitan Area (GAMA) is most vulnerable to flooding due to its high population density. This paper proposes the fusion of satellite imagery, social media, and geospatial data to derive near real-time (NRT) flood maps to understand human activity during a disaster and the extent of infrastructure damage. To that end, the paper presents an automatic thresholding technique for NRT flood mapping using Sentinel-1 images where four different speckle filters are compared using the VV, VH and VV/VH polarization to determine the best polarization(s) for delineating flood extents. The VV and VH bands together on Perona-Malik filtered images achieved the highest accuracy with an F1-score of 81.6%. Moreover, all tweet text and images were found to be located in flooded regions or in very close proximity to a flooded region, thus allowing crisis responders to better understand vulnerable communities and what humanitarian action is required.
Flood mapping
social media
Satellite imagery
Remote sensing
zakhtar@hbku.edu.qa
exported from refbase (http://idl.iscram.org/show.php?record=2354), last updated on Tue, 13 Jul 2021 18:31:11 +0200
text
http://idl.iscram.org/files/zainabakhtar/2021/2354_ZainabAkhtar_etal2021.pdf
ZainabAkhtar_etal2021
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management
Iscram 2021
Anouck Adrot
editor
Rob Grace
editor
Kathleen Moore
editor
Christopher W. Zobel
editor
18th International Conference on Information Systems for Crisis Response and Management
2021
Virginia Tech
Blacksburg, VA (USA)
conference publication
536
551
978-1-949373-61-5
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