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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
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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>
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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.
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-84.422142
-75.355507
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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.
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54rGSb1NIvoIBhsUUoGKKzZWorys/Uk8YGPrUouFlRUmHzDpKOoqtQAScAEk9q2hiKkXvf1M5UYNdrFr7K8txHEpTzZCoGDw2TjNa0elac2om0U3LmNpFd22qrlVY5A6jkVlWyCVdm4pKh3I4PStB9ZuXmFysNuswZnaTyuZTgg5xwc55xW08OkvaW917a7MzjVbfI3qiK00eV7KO9JiaGRxGQ+9dm5tuSduCPoT1p8Ph9wk5vLiO2KRO437uNsixndgHjJPT0qD+2JZbRbOdE8kBUdkXD7VbIHp+lS3OvTTahJcKitG8Qg8ub5gy5B56clhu+prkc20o9jfl1uRjRpzZC5EsOfL87ydx3+Xu27+mMZ981Je6XJYQb5JYZwrKjKjN+7Zl3AEEDqPSoRrFybT7NiIDZ5e/Z8+zdu259M0lzqVxdpKkmzbLIsjbR3VSo/Q04z5dUJxvuVjKzfewcDAz2pZFGA+V+YZwKjIxilz8vX9Kv2jaalqLkSs4h90jp6+tIBnpTgH4ZQeuAR60Muw4OM/y5qeV2v0K5le3UtJciLZGnzovVsVLJLutEkO8ZPPlms8DPrmpUndVOeQMY9M9v5V62GzKdnCb06dkefWwUb80d76+ZpPGrxlGzg1XdYIVZwgbJ7DcFq1nK5XB9Kx7iNo5Dlt3qff3r180qKlBTjBSffscGBh7STi5W8u4kshdst+AHamRqWbgZA5P0ptXIo9tpJKh5K4OecetfMUKcq9Rt69We1VmqULL0RTAyakpYk4MhwVXqu7B/zzSAZOByaxlTkreZopp38ia2wJgdu84JA96jPzyBpWYr7HJxVryo4NrO+19vQf5NVT91en1FdleEqNNQla972+7c56Uo1JuS+8QHB/+tSNlyMngdqBz7UVw8ztZHTZXuSRSbNwKqQ3ByKKa6FGKnH1FFa/WJ01yO2hnKlCb5r7kNKePlzkA0EY75pKx20NQqxbfvQ0DHqMpnswqvViyKLcguQODjNdODf76MXs9H8zHEL922t0RGTIGfnPfcP5UmEboSh9DyKkkg8qUox/H2qMrisasXGTi1a2hpCSlG66igGNueD1BBpaar4GDyvpSkHbuU5X9R9ahssWnuEWNMZLnk88CmorP91ST7CgDPGcH3q4ppbbkS332FRzG2V64xTScnJ5NBGDg8GipcpW5XsNJXuORyjh16ik6tzgZpKcmzcN+dvfHWnFttRuEkleRoWkwkQrjG3oOTx9anYKQNwH41Tdo7EkLuZ2HfoKqGd3Rwc5378jt2r6n+0Y4ekqVbWS3seH9TdabqU9IstGwKsxjcegDe4qX9zZW+1jkHt/eqkl5KqFS7E9qhkcySM5/iOa4Xj8LRjz4eHvPv07nT9Ur1Hy1ZaLsa+yORN8W3JTap7YqO1hEbSBhlweCR29aqW1zIrBTIqxr1BHarzXUSuqkn5gGB7V6NCthcRy1pe61+pyVadelemtUzOkLb2Dncw+XJNMrRntxL+9ib5/Y8GqMiGNth+8OteBjsHVozcpap7Pv2PVwuIhUjZb9hgGc+1FSMPLXZ0Zh82e3tUdcU48rt1OmMubUKKKKgojxxRRRQAU5etFFCAnuMosQJz8mc/0qEHNFFdGK/i/cZUfgHHaVUbQCO/qDTAWQ7lODRRWU3dmkdiRJSi+ZGdu07SMf59abRRUucn7reiHypXaFDdMY68cU/eGOHVenUDBH9KKK1oybnyvYzmly3AxfuzIpyucc9alVI7dUll3Ek5AX2GaKK9HDUoKtKy22OWvOTprUhnkMzFyAM9h7VEtFFeZWk5Tcnu2zrpxUYJLsKVyaaw24560UVCK7CxsqyDdnb0ODzSDhqKKu/uIn7TNG2uneRUfBB796nlt8zGQY3BTjPY9jRRX0+BnKvg71XezPExcVSxNqel0ZkilZGBOSOppGXaxU9QcUUV8zUXvS9T24P3UBGCfSiiipWlyr6H/2Q==