20211025
11573200
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FALSE
CreateMosaicDataset D:\NCOneMap\Hosted\nature_conservancy\arcgispro\Default.gdb flood_extent_resilience 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 #
Rename D:\NCOneMap\Hosted\nature_conservancy\arcgispro\Default.gdb\flood_extent_resilience D:\NCOneMap\Hosted\nature_conservancy\arcgispro\Default.gdb\floodplain_resilience MosaicDataset
CopyMultiple "D:\NCOneMap\Hosted\nature_conservancy\arcgispro\Default.gdb\floodplain_resilience MosaicDataset" D:\NCOneMap\sde_connection_files\aurora-ncom-sdeadmin.sde floodplain_resilience "floodplain_resilience MosaicDataset ncom.sdeadmin.floodplain_resilience #;floodplain_resilience LasDataset ncom.sdeadmin.floodplain_resilience #"
AddRastersToMosaicDataset D:\NCOneMap\sde_connection_files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.floodplain_resilience "Table / Raster Catalog" D:\NCOneMap\Hosted\nature_conservancy\raster-proxy-files\raster-proxy-resilience.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.floodplain_resilience
AddRastersToMosaicDataset Y:\NCOneMap\sde_connection_files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.floodplain_resilience "Table / Raster Catalog" Z:\output\file.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.floodplain_resilience
AddRastersToMosaicDataset Y:\NCOneMap\sde_connection_files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.floodplain_resilience "Table / Raster Catalog" Z:\output\file.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.floodplain_resilience
AddRastersToMosaicDataset Y:\NCOneMap\sde_connection_files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.floodplain_resilience "Raster Dataset" Z:\output\opportunities.mrf 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.floodplain_resilience
AddRastersToMosaicDataset Y:\NCOneMap\sde_connection_files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.floodplain_resilience "Raster Dataset" Z:\output\opportunities.mrf 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.floodplain_resilience
AddRastersToMosaicDataset Y:\NCOneMap\sde_connection_files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.floodplain_resilience "Raster Dataset" Z:\output22 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.floodplain_resilience
AddRastersToMosaicDataset Y:\NCOneMap\sde_connection_files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.floodplain_resilience "Raster Dataset" Y:\NCOneMap\Hosted\nature_conservancy\raster-proxy-files\raster-proxy-resilience.mrf 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.floodplain_resilience
AddRastersToMosaicDataset D:\NCOneMap\sde_connection_files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.floodplain_resilience "Raster Dataset" D:\NCOneMap\Hosted\nature_conservancy\raster-proxy-files\raster-proxy-resilience.mrf 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.floodplain_resilience
AddRastersToMosaicDataset D:\NCOneMap\sde_connection_files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.floodplain_resilience "Raster Dataset" D:\NCOneMap\Hosted\nature_conservancy\raster-proxy-files\ind\opportunities.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\ncom.sdeadmin.floodplain_resilience
AddRastersToMosaicDataset "C:\Users\dpgiordano1\Desktop\connection files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.floodplain_resilience" "Raster Dataset" D:\NCOneMap\Hosted\nature_conservancy\intervention_opportunities_raster\opportunities.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\ncom.sdeadmin.floodplain_resilience
AddRastersToMosaicDataset D:\NCOneMap\sde_connection_files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.floodplain_resilience "Table / Raster Catalog" D:\NCOneMap\Hosted\nature_conservancy\raster-proxy-files\raster-proxy-resilience.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.floodplain_resilience
AddRastersToMosaicDataset D:\NCOneMap\sde_connection_files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.floodplain_resilience "Table / Raster Catalog" D:\data\resilience.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.floodplain_resilience
AddRastersToMosaicDataset D:\NCOneMap\sde_connection_files\aurora-ncom-sdeadmin.sde\ncom.sdeadmin.floodplain_resilience "Raster Dataset" D:\NCOneMap\Hosted\nature_conservancy\raster-proxy-files\raster-proxy-resilience.mrf UPDATE_CELL_SIZES UPDATE_BOUNDARY NO_OVERVIEWS # 0 1500 # # NO_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.floodplain_resilience
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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
HTTPS
Download Floodplain Resilience raster
Download Floodplain Resilience raster
Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 17763) ; Esri ArcGIS 12.9.3.32739
Floodplain Resilience
2020-04-23T00:00:00
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
The Nature Conservancy North Carolina
Margaret Fields
The Nature Conservancy North Carolina
GIS & Invasives Coordinator
mfields@tnc.org
Margaret Fields
Danica Schaffer-Smith
The Nature Conservancy North Carolina
NatureNet Science Fellow
1
-81.753733
-75.339234
36.613403
33.781654
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 identifies regions where flooding was detected from either Hurricane Matthew or Hurricane Florence, where buyouts or nature-based solutions could be implemented to reduce flooding and water quality impacts on sensitive human and ecological communities. 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 flood extent estimated using remote sensing from Hurricane Matthew (2016) and Hurricane Florence (2018). Note: Do not download this raster using the map at the top of the page. Instead, click Download then "Download Floodplain Resilience raster." The link will take you to a page where the raster can be downloaded.
<div style='text-align:Left;'><div><div><p style='margin:0 0 7 0;'><span>Flooded and non-flooded regions were delineated </span><span>from recent Hurricanes </span><span>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 </span><span>>91</span><span>% accuracy against an independent withheld sample </span><span>for each storm</span><span>. </span><span>Within regions where flooding was detected, opportunities for buyouts, conservation of forests and wetlands, or lands where restoration or easements could be implemented were identified using the National Land Cover Dataset (2011). </span><span>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 Floodplain Resilience raster." The link will take you to a page where the raster can be downloaded.</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. 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
The Nature Conservancy
environment
geoscientificInformation
inlandWaters
flood
hurricane
nature-based solutions
NC
North Carolina
Department of Information Technology
DIT
Center for Geographic Information and Analysis
CGIA
NC OneMap
imagery
orthoimagery
aerial
imageryBaseMapsEarthCover
<div style='text-align:Left;'><div><div><p style='margin:0 0 7 0;'><span>Please provide attribution for use of this dataset by citing the following resources:</span></p><p style='margin:0 0 7 0;'><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 & Technology. </span></p><p style='margin:0 0 7 0;'><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 style='margin:0 0 7 0;'><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.
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
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;"><DIV><DIV><P STYLE="margin:0 0 7 0;"><SPAN STYLE="font-size:10pt">Please provide attribution for use of this dataset by citing the following resources:</SPAN></P><P STYLE="margin:0 0 7 0;"><SPAN STYLE="font-size:10pt">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. </SPAN></P><P STYLE="margin:0 0 7 0;"><SPAN STYLE="font-size:10pt">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></DIV></DIV>
The classification models for flooding from recent hurricanes were 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.
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. Classification models for Hurricanes Matthew and Florence were trained with USGS and NCDEMS high-water marks, in addition to flooded and non-flooded regions delineated from high-resolution NOAA aerial photography; the models achieved > 91% accuracy against independent witheld samples. Within flooded regions, land cover from the National Land Cover Dataset (2011) was used to identify potential lands for buyouts, conservation, or possibly for restoration, easements or voluntary measures to reduce flooding and water quality problems under future storms. For additional details regarding the methods, please see the peer-reviewed publication and archive referenced in the Credits.
Within flooded regions, land cover from the National Land Cover Dataset (2011) was used to identify potential interventions that could reduce flooding and water quality problems under future storms. Mapped urban land cover within regions flooded by Hurricanes Matthew or Florence were identified as potential buyout opportunities. Mapped forests and wetlands that are not currently under formal protection were identified as opportunities for conservation. Other open space lands (mainly agriculture) were identified as potential opportunities for restoration, easements, or voluntary modifications of management. Each of these measures would be expected to help in retaining flood water and reducing nutrient inputs under future storms.
2019-06-25T00:00:00
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. Classification models for Hurricanes Matthew and Florence were trained with USGS and NCDEMS high-water marks, in addition to flooded and non-flooded regions delineated from high-resolution NOAA aerial photography; the models achieved > 91% accuracy against independent witheld samples.
2019-06-25T00:00:00
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