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CreateMosaicDataset D:\NCOneMap\Hosted\nature_conservancy\arcgispro\Default.gdb flood_extent_matthew PROJCS["NAD_1983_StatePlane_North_Carolina_FIPS_3200_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",2000000.002616666],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-79.0],PARAMETER["Standard_Parallel_1",34.33333333333334],PARAMETER["Standard_Parallel_2",36.16666666666666],PARAMETER["Latitude_Of_Origin",33.75],UNIT["Foot_US",0.3048006096012192]] # # None #
CopyMultiple "D:\NCOneMap\Hosted\nature_conservancy\arcgispro\Default.gdb\flood_extent_matthew MosaicDataset" D:\NCOneMap\sde_connection_files\aurora-ncom-sdeadmin.sde flood_extent_matthew "flood_extent_matthew MosaicDataset ncom.sdeadmin.flood_extent_matthew #;flood_extent_matthew LasDataset ncom.sdeadmin.flood_extent_matthew #"
AddRastersToMosaicDataset D:\NCOneMap\sde_connection_files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.flood_extent_matthew "Table / Raster Catalog" D:\NCOneMap\Hosted\nature_conservancy\raster-proxy-files\raster-proxy-matthew.csv UPDATE_CELL_SIZES UPDATE_BOUNDARY NO_OVERVIEWS # 0 1500 # # SUBFOLDERS "Allow duplicates" NO_PYRAMIDS NO_STATISTICS NO_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE NO_STATISTICS # NO_PIXEL_CACHE C:\Users\gbspivey\AppData\Local\ESRI\rasterproxies\ncom.sdeadmin.flood_extent_matthew
AddRastersToMosaicDataset D:\NCOneMap\sde_connection_files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.flood_extent_matthew "Table / Raster Catalog" D:\NCOneMap\Hosted\nature_conservancy\raster-proxy-files\raster-proxy-matthew.csv UPDATE_CELL_SIZES UPDATE_BOUNDARY NO_OVERVIEWS # 0 1500 # # SUBFOLDERS "Allow duplicates" NO_PYRAMIDS NO_STATISTICS NO_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE NO_STATISTICS # NO_PIXEL_CACHE C:\Users\gbspivey\AppData\Local\ESRI\rasterproxies\ncom.sdeadmin.flood_extent_matthew
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Hurricane Matthew flood extent across the Piedmont and Coastal Plain of North Carolina
dataset
The Nature Conservancy North Carolina
334 Blackwell St Suite 300
Durham
NC
27701
northcarolinachapter@tnc.org
US
919-403-8558
The Nature Conservancy North Carolina
Margaret Fields
The Nature Conservancy North Carolina
GIS & Invasives Coordinator
mfields@tnc.org
Margaret Fields
20220527
ArcGIS Metadata
1.0
Raster Dataset
https://knb.ecoinformatics.org/view/doi%3A10.5063%2FF1JM280P
Download Matthew flood extent raster
Download Matthew flood extent raster
Matthew_Flood_Extent
2018-04-23T00:00:00
2020-04-23T00:00:00
The Nature Conservancy North Carolina
334 Blackwell St Suite 300
Durham
NC
27701
northcarolinachapter@tnc.org
US
919-403-8558
Margaret Fields
The Nature Conservancy North Carolina
GIS & Invasives Coordinator
mfields@tnc.org
Danica Schaffer-Smith
The Nature Conservancy North Carolina
NatureNet Science Fellow
<div style='text-align:Left;'><div><div><p><span>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.</span></p><p><span>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.</span></p></div></div></div>
OPTIONAL: Provide the file name or URL for an available browse graphic image.
OPTIONAL: Indicate the file type for an available browse graphic image. For best results, size the graphic at 200 pixels by 133 pixels, and save it as a PNG, JPEG, or GIF.
OPTIONAL: Indicate the name of the thesaurus used to draw standardized vocabulary associated with one or more theme keywords. Note that thesauri are not limited to formal 'thesauri' (e.g., Cowardin Wetland Classification, GCMD Science Keywords) and should include informal information, documents, and publications.
2014-07-07T00:00:00
flood, hurricane, remote sensing, radar
NC
The Nature Conservancy
environment
geoscientificInformation
inlandWaters
natural hazards
flood
hurricane
remote sensing
radar
NC
North Carolina
Department of Information Technology
DIT
Center for Geographic Information and Analysis
CGIA
NC OneMap
Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 17763) ; Esri ArcGIS 12.9.3.32739
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36.617277
33.641943
This data was created as part of a NatureNet Science Fellowship project initiated in 2018 by The Nature Conservancy and the Arizona State University Center for Biodiversity Outcomes to assess risks and identify solutions for nutrient pollution under extreme events. This dataset provides an estimate of inland flood extent under Hurricane Matthew (2016), and can help to inform planning efforts aimed at improving resilience to future storms. This is part of a collection of datasets produced as part of a study of the potential implications of repeated hurricanes for water quality in North Carolina. Complementary datasets include: Hurricane Florence (2018) estimated flood extent and opportunities for buyouts and watershed-scale nature-based solutions within flood-affected areas.
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.
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
<div style='text-align:Left;'><div><div><p><span>Free reuse with attribution. Please cite the following resources:</span></p><p><span>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 &amp; Technology. </span></p><p><span>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/</span></p><p><span>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</span></p><p><span>https://www.nconemap.gov/pages/terms</span></p></div></div></div>
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.
North Carolina, Piedmont, Coastal Plain
2016
hydrology, natural hazards, vulnerability, remote sensing, machine learning
The Nature Conservancy North Carolina
334 Blackwell St Suite 300
Durham
NC
27701
northcarolinachapter@tnc.org
US
919-403-8558
The Nature Conservancy North Carolina
Margaret Fields
The Nature Conservancy North Carolina
GIS & Invasives Coordinator
mfields@tnc.org
Margaret Fields
<DIV STYLE="text-align:Left;"><P><SPAN>Free reuse with attribution. Please cite the following resources:</SPAN></P><P><SPAN>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 &amp; Technology. </SPAN></P><P><SPAN>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/</SPAN></P></DIV>
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 92.42% accuracy against an independent witheld sample. For additional details regarding the methods, please see the peer-reviewed publication and archive referenced in the Credits.
2019-06-25T00:00:00
The classification model was validated with an independent sample witheld from the training set. Map accuracy was measured at 92.42% against the witheld sample. See the peer-reviewed publication and accompanying code for additional information about validation.
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