Real-Time Flood Inundation Mapping in Kansas
Topics:
Keywords: Flood inundation mapping, neighborhood, spatial data analysis
Abstract Type: Paper Abstract
Authors:
Xingong Li, University of Kansas
Jude Kastens, University of Kansas
Ken Ekpetere, University of Kansas
James Halgren, University of Alabama
Jim Coll, University of Kansas
David Weekley, University of Kansas
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Abstract
Flood inundation maps are needed for emergency response and planning. This research presents a real-time flood inundation mapping (FIM) system developed for the Kansas Division of Emergency Management. The system is based on the low-complexity FLDPLN FIM algorithm which considers both backfill and spillover mechanisms and generates the flood inundation relationships between stream channel cells and flood plain cells. The mapping component reorganizes and tiles the relationships in space and takes the advantage of parallel computing to speed up real-time inundation mapping. The application provides an example of computing maps using a spatial relationship (i.e., flood inundation) that varies in time which is not supported in current GIScience data analysis frameworks.
Real-Time Flood Inundation Mapping in Kansas
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Paper Abstract
