20211021
15283700
1.0
FALSE
CreateMosaicDataset D:\NCOneMap\Hosted\nature_conservancy\arcgispro\Default.gdb flood_extent_florence 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 #
AddRastersToMosaicDataset D:\NCOneMap\Hosted\nature_conservancy\arcgispro\Default.gdb\flood_extent_florence "Table / Raster Catalog" D:\NCOneMap\Hosted\nature_conservancy\raster-proxy-files\raster-proxy-florence.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\flood_extent_florence
CopyMultiple "D:\NCOneMap\Hosted\nature_conservancy\arcgispro\Default.gdb\flood_extent_florence MosaicDataset" D:\NCOneMap\sde_connection_files\aurora-ncom-sdeadmin.sde flood_extent_florence "flood_extent_florence MosaicDataset ncom.sdeadmin.flood_extent_florence #;flood_extent_florence LasDataset ncom.sdeadmin.flood_extent_florence #"
AddRastersToMosaicDataset "C:\Users\dpgiordano1\Desktop\connection files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.flood_extent_florence" "Raster Dataset" D:\NCOneMap\Hosted\nature_conservancy\flood_extent_rasters_Matthew_Florence\Florence_flood_extent\FloodExtentFlorence.tif UPDATE_CELL_SIZES UPDATE_BOUNDARY UPDATE_OVERVIEWS # 0 1500 # # SUBFOLDERS "Allow duplicates" BUILD_PYRAMIDS CALCULATE_STATISTICS BUILD_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE ESTIMATE_STATISTICS # NO_PIXEL_CACHE C:\Users\gbspivey\AppData\Local\ESRI\rasterproxies\flood_extent_florence
AddRastersToMosaicDataset "C:\Users\dpgiordano1\Desktop\connection files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.flood_extent_florence" "Raster Dataset @ C:\Users\dpgiordano1\Desktop\connection files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.flood_extent_florence\RasterType.OBJECTID=403" D:\NCOneMap\Hosted\nature_conservancy\flood_extent_rasters_Matthew_Florence\Florence_flood_extent\FloodExtentFlorence.tif UPDATE_CELL_SIZES UPDATE_BOUNDARY UPDATE_OVERVIEWS # 0 1500 # # SUBFOLDERS "Allow duplicates" BUILD_PYRAMIDS CALCULATE_STATISTICS BUILD_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE ESTIMATE_STATISTICS # NO_PIXEL_CACHE C:\Users\gbspivey\AppData\Local\ESRI\rasterproxies\flood_extent_florence
AddRastersToMosaicDataset "C:\Users\dpgiordano1\Desktop\connection files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.flood_extent_florence" "Raster Dataset" D:\NCOneMap\Hosted\nature_conservancy\flood_extent_rasters_Matthew_Florence\Florence_flood_extent\FloodExtentFlorence.tif UPDATE_CELL_SIZES UPDATE_BOUNDARY UPDATE_OVERVIEWS # 0 1500 # # SUBFOLDERS "Allow duplicates" BUILD_PYRAMIDS CALCULATE_STATISTICS BUILD_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE ESTIMATE_STATISTICS # NO_PIXEL_CACHE C:\Users\gbspivey\AppData\Local\ESRI\rasterproxies\flood_extent_florence
CalculateStatistics "C:\Users\dpgiordano1\Desktop\connection files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.flood_extent_florence" 1 1 # OVERWRITE "Feature Set"
AddRastersToMosaicDataset "C:\Users\dpgiordano1\Desktop\connection files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.flood_extent_florence" "Raster Dataset" D:\NCOneMap\Hosted\nature_conservancy\flood_extent_rasters_Matthew_Florence\Florence_flood_extent\FloodExtentFlorence.tif 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\flood_extent_florence
CalculateStatistics "C:\Users\dpgiordano1\Desktop\connection files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.flood_extent_florence" 1 1 # OVERWRITE "Feature Set"
CalculateStatistics "C:\Users\dpgiordano1\Desktop\connection files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.flood_extent_florence" 1 1 # OVERWRITE "Feature Set"
AddRastersToMosaicDataset Y:\NCOneMap\sde_connection_files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.flood_extent_florence "Table / Raster Catalog" Y:\NCOneMap\Hosted\nature_conservancy\raster-proxy-files\raster-proxy-florence.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\flood_extent_florence
Server=cgiadbcluster1.cluster-cj1ib0qfquhl.us-east-1.rds.amazonaws.com; Service=sde:postgresql:cgiadbcluster1.cluster-cj1ib0qfquhl.us-east-1.rds.amazonaws.com; Database=ncom; User=sdeadmin; Version=sde.DEFAULT
ArcSDE Connection
002
ncom.sdeadmin.flood_extent_florence
406823.424964
3070269.541631
2690.254985
1043633.054985
1
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_North_Carolina_FIPS_3200_Feet
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.9.0'><WKT>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],AUTHORITY["EPSG",2264]]</WKT><XOrigin>-121841900</XOrigin><YOrigin>-93659000</YOrigin><XYScale>36365718.124241434</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102719</WKID><LatestWKID>2264</LatestWKID></ProjectedCoordinateSystem>
8
FALSE
None
1
AMD
TRUE
continuous
unsigned integer
0
4100
15000
1000
20
2048
20
80
0.01
10
600
300
Basic
1
NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
JPEG,None,LZ77,LERC
None
None,Basic,Base-Top Height,Top-Top Shadow Height,Base-Top Shadow Height,3D
-1
-1
0.8
1
NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
None,JPEG,LZ77,LERC
None,Basic,Full
NONE
<_docversion_ Sync="TRUE">10
Name,MinPS,MaxPS,LowPS,HighPS,Tag,GroupName,ProductName,CenterX,CenterY,ZOrder,Shape_Length,Shape_Area
0
236219.9999985
65.61666667
4724.39999997
C:\Users\gbspivey\AppData\Local\ESRI\rasterproxies\flood_extent_florence
Generic
name,minps,maxps,lowps,highps,tag,groupname,productname,centerx,centery,zorder,st_area(shape),st_perimeter(shape)
MinPS,MaxPS,LowPS,HighPS,CenterX,CenterY,ZOrder
-1
1
1
0
0
0
0
0
44705.7345178241
44705.736003831
20220524
13502600
20220531
13043300
150000000
5000
ItemDescription
dataset
The Nature Conservancy North Carolina
919-403-8558
334 Blackwell St Suite 300
Durham
NC
27701
US
northcarolinachapter@tnc.org
Margaret Fields
The Nature Conservancy North Carolina
GIS & Invasives Coordinator
mfields@tnc.org
Danica Schaffer-Smith
The Nature Conservancy North Carolina
NatureNet Science Fellow
d.schaffer-smith@tnc.org
20220531
ArcGIS Metadata
1.0
Raster Dataset
https://knb.ecoinformatics.org/view/doi%3A10.5063%2FF1JM280P
HTTPS
Download Florence flood extent raster
Download Florence flood extent raster
Florence_Flood_Extent
2020-04-23
2020-04-23
The Nature Conservancy North Carolina
919-403-8558
334 Blackwell St Suite 300
Durham
NC
27701
US
northcarolinachapter@tnc.org
Margaret Fields
The Nature Conservancy North Carolina
GIS & Invasives Coordinator
mfields@tnc.org
Danica Schaffer-Smith
The Nature Conservancy North Carolina
NatureNet Science Fellow
d.schaffer-smith@tnc.org
Hurricanes Matthew and Florence: impacts and opportunities to improve floodplain management
<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>
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.
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/
The Nature Conservancy North Carolina
919-403-8558
334 Blackwell St Suite 300
Durham
NC
27701
US
northcarolinachapter@tnc.org
Margaret Fields
The Nature Conservancy North Carolina
GIS & Invasives Coordinator
mfields@tnc.org
hydrology, natural hazards, vulnerability, remote sensing, machine learning
North Carolina, Piedmont, Coastal Plain
2018
flood, hurricane, remote sensing, radar
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
<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>
Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.0.6491
true
-84.422142
-75.355507
33.641943
36.617277
2019-09-18T00:00:00
2018-09-26T00:00:00
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.
1
-84.422142
-75.355507
36.617277
33.641943
Metadata standard ISO 19139
Free reuse with attribution.
The classification model was validated with an independent sample witheld from the training set. Map accuracy was measured at 91.9% against the witheld sample. See the peer-reviewed publication and accompanying code for additional information about validation.
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 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
2
40591
65.616667
15864
65.616667
true
false
406823.424835 2690.255119
406823.424835 1043633.055119
3070269.541502 1043633.055119
3070269.541502 2690.255119
1738546.483169 523161.655119
EPSG
6.12(9.0.0)
6.12(9.0.0)
Classified flooding from Hurricane Florence. 0 = not flooded, 1 = flooded
Band_1
1
0
Unified Code of Units of Measure
8
false
false
false
false
false
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