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GeoFlood WRR Dataset and Tools

Authors: Xing Zheng · David Maidment · David Tarboton · Yan Liu · Paola Passalacqua
Owners: Xing Zheng
DOI:10.4211/hs.da4ccabbb6c64b39a053d5b288ecbf34 How to Cite
Resource type:Composite Resource
Created:Sep 15, 2018 at 1:35 a.m.
Last updated: Oct 30, 2018 at midnight by Xing Zheng


This resource contains data and tools used in the paper “GeoFlood: large-scale flood inundation mapping based on high-resolution terrain analysis” submitted to Water Resources Research.
Simple and computationally efficient flood inundation mapping methods are needed to take advantage of increasingly available high-resolution topography data. In this work, we present a new approach, called GeoFlood, for flood inundation mapping using high-resolution topographic data. This approach combines GeoNet, an advanced method for high-resolution terrain data analysis, and the Height Above Nearest Drainage. GeoFlood can rapidly convert real-time forecasted river flow conditions to corresponding flood maps. A case study in central Texas demonstrated that the flood maps generated with our approach capture the majority of the inundated extent reported by detailed FEMA flood studies. Our results show that GeoFlood is a valuable solution for rapid inundation mapping.

Subject Keywords

HAND,flooding,rating curve,lidar

How to cite

Zheng, X., D. Maidment, D. Tarboton, Y. Liu, P. Passalacqua (2018). GeoFlood WRR Dataset and Tools, HydroShare, https://doi.org/10.4211/hs.da4ccabbb6c64b39a053d5b288ecbf34

This resource is shared under the Creative Commons Attribution CC BY.


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  • Sharing status:

    • Published Resource  Published



     Coordinate System/Geographic Projection:  WGS 84 EPSG:4326
     Coordinate Units:  Decimal degrees
    North Latitude
    East Longitude
    South Latitude
    West Longitude


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    The people or organizations that created the intellectual content of the resource.

    Name Organization Address Phone Author Identifiers
    Xing Zheng University of Texas at Austin 5129259889
    David Maidment University of Texas at Austin
    David Tarboton Utah State University Utah, US 4357973172
    Yan Liu University of Illinois at Urbana-Champaign
    Paola Passalacqua University of Texas at Austin


    This resource was created using funding from the following sources:
    Agency Name Award Title Award Number
    Texas Division of Emergency Management Texas Flood Response System 26-3215-2275


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