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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 Florence (2018), 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 Matthew (2016) 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 Florence flood extent raster." The link will take you to a page where the raster can be downloaded. |
| summary:
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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 Florence (2018), 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 Matthew (2016) 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 Florence flood extent raster." The link will take you to a page where the raster can be downloaded. |
| accessInformation:
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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/ |
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thumbnail/thumbnail.png |
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136056.670397262 |
| typeKeywords:
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["Data","Service","Image Service","ArcGIS Server"] |
| description:
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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The data provide an estimate of flood extent following Hurricane Florence (2018) 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 archive 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 Florence flood extent raster." The link will take you to a page where the raster can be downloaded.</SPAN></P></DIV></DIV></DIV> |
| licenseInfo:
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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Free reuse with attribution. Please cite the following resources: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/</SPAN></P><P><SPAN>https://www.nconemap.gov/pages/terms</SPAN></P></DIV></DIV></DIV> |
| catalogPath:
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| title:
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Florence_Flood_Extent |
| type:
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Image Service |
| url:
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https://services.gis.nc.gov/secure |
| tags:
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["hydrology","natural hazards","vulnerability","remote sensing","machine learning","North Carolina","Piedmont","Coastal Plain","2018","flood","hurricane","remote sensing","radar","NC","North Carolina","Department of Information Technology","DIT","Center for Geographic Information and Analysis","CGIA","NC OneMap","inlandWaters"] |
| culture:
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en-US |
| name:
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Florence_Flood_Extent |
| guid:
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|
| minScale:
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4353813.45271238 |
| spatialReference:
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NAD_1983_StatePlane_North_Carolina_FIPS_3200_Feet |