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Service Description: The data provide an estimate of flood extent following Hurricane Matthew (2016) across the Piedmont and Coastal Plain of North Carolina. Flooded and non-flooded regions were delineated using a random forest classification model leveraging pre- and post-storm synthetic aperture radar from the European Space Agency's Sentinel-1 sensor, in addition to topography, floodplain, and landcover data. The classification model was trained with USGS and NCDEMS high-water marks, in addition to flooded and non-flooded regions delineated from high-resolution NOAA aerial photography; the model achieved 92% accuracy against an independent withheld sample. This effort was aimed at identifying inland flooding and not storm surge. This dataset is not intended to replace North Carolina's Floodplain Mapping Program hazard projections. For additional details regarding the methods, please see the peer-reviewed publication and data and code archives referenced in the Credits below.
Note: Do not download this raster using the map at the top of the page. Instead, click Download then "Download Matthew flood extent raster." The link will take you to a page where the raster can be downloaded.
Matthew_Flood_Extent
Description: The data provide an estimate of flood extent following Hurricane Matthew (2016) across the Piedmont and Coastal Plain of North Carolina. Flooded and non-flooded regions were delineated using a random forest classification model leveraging pre- and post-storm synthetic aperture radar from the European Space Agency's Sentinel-1 sensor, in addition to topography, floodplain, and landcover data. The classification model was trained with USGS and NCDEMS high-water marks, in addition to flooded and non-flooded regions delineated from high-resolution NOAA aerial photography; the model achieved 92% accuracy against an independent withheld sample. This effort was aimed at identifying inland flooding and not storm surge. This dataset is not intended to replace North Carolina's Floodplain Mapping Program hazard projections. For additional details regarding the methods, please see the peer-reviewed publication and data and code archives referenced in the Credits below.
Note: Do not download this raster using the map at the top of the page. Instead, click Download then "Download Matthew flood extent raster." The link will take you to a page where the raster can be downloaded.
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Spatial Reference: 102719
(2264)
Initial Extent:
XMin: 406823.42496438324
YMin: 2690.2549320919206
XMax: 3070269.5417663534
YMax: 1043633.0549849719
Spatial Reference: 102719
(2264)
Full Extent:
XMin: 406823.42496438324
YMin: 2690.2549320919206
XMax: 3070269.5417663534
YMax: 1043633.0549849719
Spatial Reference: 102719
(2264)
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Copyright Text: Schaffer-Smith, D., Myint, S.W., Muenich, R.L., Tong, D., and DeMeester, J.E. 2020. Repeated hurricanes reveal risks and opportunities for social-ecological resilience to flooding and water quality problems. Environmental Science & Technology. Schaffer-Smith, D. 2020. Hurricanes Matthew and Florence: impacts and opportunities to improve floodplain management. Knowledge Network for Biocomplexity. doi:10.5063/F1SB443J. https://knb.ecoinformatics.org/ Schaffer-Smith, D. 2020. Supporting code for: Schaffer-Smith, D., Myint, S.W., Muenich, R.L., Tong, D., & DeMeester, J.E. 2020. Repeated hurricanes reveal risks and opportunities for social-ecological resilience to flooding and water quality problems. Environmental Science & Technology. https://github.com/dschaffersmith/repeatFloodingNC
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