Flood Inundation Mapping Utilizing Synthetic Aperture Radar and Ancillary Data
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Created: May 28, 2019 at 2:11 p.m.
Last updated: Jun 09, 2019 at 12:15 p.m.
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Abstract

Floods are one of the most significant natural disasters and having near-realtime (NRT) or retrospective information on inundation can help first responders, forecasters, engineers, the general public, and other stakeholders better manage these devastating events to reduce threats to life and property. This manuscript is a detailed examination of how hydrologically relevant terrain data known as height above nearest drainage (HAND) can be used to enhance satellite based C-band synthetic aperture radar (SAR) riverine flood inundation mapping in areas with a variety of land covers. Previous work with C-band SAR has listed numerous difficulties with detecting surface water under thick vegetation and urban areas. While HAND has been used to assist SAR in several capacities, it has not been utilized as a feature for inundation mapping with advanced machine learning classification algorithms.

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Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
35.2722°
East Longitude
-77.5317°
South Latitude
35.2124°
West Longitude
-77.6298°

Content

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How to Cite

Aristizabal, F. (2019). Flood Inundation Mapping Utilizing Synthetic Aperture Radar and Ancillary Data, HydroShare, http://www.hydroshare.org/resource/b35f259d7e754792ae5c266954fcabec

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 http://creativecommons.org/licenses/by/4.0/
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