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Florence_Flood_Extent (ImageServer)

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Service Description:

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.

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.



Name: Florence_Flood_Extent

Description:

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.

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.



Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 65.61666666666667

Pixel Size Y: 65.61666666666667

Band Count: 1

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "Bath2", "description": "convert to bathymetry symbology", "help": "" }, { "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset.", "help": "" } ]}

Mensuration Capabilities: Basic

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

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/

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 1

Max Values: 1

Mean Values: 1

Standard Deviation Values: 0

Object ID Field: objectid

Fields: Default Mosaic Method: Northwest

Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 80

Default Resampling Method: Bilinear

Max Record Count: 1000

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: 20

Max Mosaic Image Count: 20

Allow Raster Function: true

Allow Copy: true

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: true

Supports Advanced Queries: true

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Histograms   Statistics   Key Properties   Legend   Raster Function Infos

Supported Operations:   Export Image   Query   Identify   Measure   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project