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cybergis / nfie-floodmap

National Inundation Mapping, collaboration among CyberGIS, NFIE, and HydroShare
MIT License
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nfie-floodmap

The NFIE (National Flood Interoperability Experiment) continental flood inundation mapping (CFIM) framework is a computational framework for the new Height Above Nearest Drainage (HAND)-based inundation mapping methodology. The development is a collaboration among NSF projects (CyberGIS, NFIE, HydroShare, XSEDE (ECSS)), research institutions (UT Austin, Utah State U., UIUC), government agencies (USGS and NOAA NWS), and industry (Esri). The computation was originally done on the ROGER cluster at NCSA, now at TACC using Stampede 2, Wrangler, and JetStream.

So far, we are able to compute the Height Above Nearest Drainage (HAND) grid at 10m resolution for CONUS (conterminous U.S.) from the 10m USGS 3DEP national elevation dataset (NED) and NHDPlus (National Hydrography Dataset Plus) medium and high resolution datasets. For now, we are able to compute HAND at 10m resolution for 331 HUC6 units in CONUS within 1.5 days; hydraulic property table in 2.5 hours (covering 2.7 million river reaches in NHDPlus MR); inundation table in 10 minutes, and inundation maps in 30 minutes. We employ TauDEM, a high-performance hydrologic information analysis software, with major algorithm enhancements in the two flow direction algorithms (D8 and D$\infty$).

The workflow of the HAND calculation is illustrated as below: alt text

The workflow of the construction of hydraulic property table and inundation maps is illustrated as below: alt text

Data

We currently host all the HAND and inundation map data at TACC's Corral storage system. Please download what you need there.

Publications

Presentations

A CyberGIS Integration and Computation Framework for High-Resolution Continental-Scale Flood Inundation Mapping, presentation associated with the JAWRA journal paper.

Papers

If you refer to our work, please cite the following publication(s):

Liu, Yan Y., David R. Maidment, David G. Tarboton, Xing Zheng, and Shaowen Wang. 2018. A CyberGIS Integration and Computation Framework for High-Resolution Continental-Scale Flood Inundation Mapping. Journal of the American Water Resources Association (JAWRA). Accepted.

Liu, Yan Y., David R. Maidment, David G. Tarboton, Xing Zheng, Ahmet Yildirim, Nazmus S. Sazib and Shaowen Wang. 2016. A CyberGIS Approach to Generating High-resolution Height Above Nearest Drainage (HAND) Raster for National Flood Mapping. The Third International Conference on CyberGIS and Geospatial Data Science. July 26–28, 2016, Urbana, Illinois. http://dx.doi.org/10.13140/RG.2.2.24234.41925/1