USDA/NASS Disaster Analysis Web Page https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/index.php Metadata Event: Hurricane Florence Last Updated: October 1, 2018 ------------------------------------------------------------------------- ------------------------------------------------------------------------- File: Hurricane_Florence_Inundation_Layer.zip Description: This dataset is a 2018 inundation raster layer created to estimate the extent of cropland and pasture/hay inundated by flooding from Hurricane Florence. The study area consisted of Virginia, North Carolina, South Carolina and a portion of Georgia, United States of America. Data represent cropland, inundated cropland, pasture/hay, inundated pasture/hay, water bodies, and other land. Projection: Albers Conical Equal Area Spatial Resolution: 30 meter Attribute Table Value Class_Name 1 Water 2 Other 10 Cropland 11 Inundated Cropland 20 Pasture Hay 21 Inundated Pasture Hay -------------------- Imagery Inputs Sentinel-1A Data: interferometric wide swath (250 kilometer), Level-1 Ground Range Detected (GRD), 5x20 meter spatial resolution, and dual polarization (VV, VH) Imagery Download: Copernicus Open Access Hub https://scihub.copernicus.eu/dhus/ Pre-Flood Imagery Input Files: S1A_IW_GRDH_1SDV_20180824T233140_20180824T233205_023395_028BA7_971E S1A_IW_GRDH_1SDV_20180824T233115_20180824T233140_023395_028BA7_7753 S1A_IW_GRDH_1SDV_20180824T233050_20180824T233115_023395_028BA7_964A S1A_IW_GRDH_1SDV_20180824T233025_20180824T233050_023395_028BA7_D243 S1A_IW_GRDH_1SDV_20180824T233000_20180824T233025_023395_028BA7_57F5 S1A_IW_GRDH_1SDV_20180824T232935_20180824T233000_023395_028BA7_FC60 S1A_IW_GRDH_1SDV_20180831T232319_20180831T232344_023497_028EE6_4ADE S1A_IW_GRDH_1SDV_20180831T232254_20180831T232319_023497_028EE6_406C S1A_IW_GRDH_1SDV_20180831T232229_20180831T232254_023497_028EE6_AF68 S1A_IW_GRDH_1SDV_20180831T232204_20180831T232229_023497_028EE6_AAF6 S1A_IW_GRDH_1SDV_20180831T232139_20180831T232204_023497_028EE6_4AEC S1A_IW_GRDH_1SDV_20180907T231530_20180907T231555_023599_02922C_FD5A S1A_IW_GRDH_1SDV_20180907T231505_20180907T231530_023599_02922C_63F8 S1A_IW_GRDH_1SDV_20180907T231440_20180907T231505_023599_02922C_7302 S1A_IW_GRDH_1SDV_20180907T231415_20180907T231440_023599_02922C_3340 S1A_IW_GRDH_1SDV_20180907T231350_20180907T231415_023599_02922C_5F84 S1A_IW_GRDH_1SDV_20180902T230707_20180902T230732_023526_028FCB_A4C0 S1A_IW_GRDH_1SDV_20180902T230642_20180902T230707_023526_028FCB_070F S1A_IW_GRDH_1SDV_20180902T230617_20180902T230642_023526_028FCB_49CF S1A_IW_GRDH_1SDV_20180902T230552_20180902T230617_023526_028FCB_0AE6 Post-Flood Imagery Inputs Files: S1A_IW_GRDH_1SDV_20180917T233141_20180917T233206_023745_0296D5_35D2 S1A_IW_GRDH_1SDV_20180917T233116_20180917T233141_023745_0296D5_F7E6 S1A_IW_GRDH_1SDV_20180917T233051_20180917T233116_023745_0296D5_3754 S1A_IW_GRDH_1SDV_20180917T233026_20180917T233051_023745_0296D5_14AD S1A_IW_GRDH_1SDV_20180917T233001_20180917T233026_023745_0296D5_F6E0 S1A_IW_GRDH_1SDV_20180917T232936_20180917T233001_023745_0296D5_335D S1B_IW_GRDH_1SDV_20180918T232222_20180918T232252_012776_01795C_18B2 S1B_IW_GRDH_1SDV_20180918T232157_20180918T232222_012776_01795C_20B4 S1B_IW_GRDH_1SDV_20180918T232132_20180918T232157_012776_01795C_6549 S1B_IW_GRDH_1SDV_20180918T232107_20180918T232132_012776_01795C_28B3 S1A_IW_GRDH_1SDV_20180919T231530_20180919T231555_023774_0297CC_B5D6 S1A_IW_GRDH_1SDV_20180919T231505_20180919T231530_023774_0297CC_C1B0 S1A_IW_GRDH_1SDV_20180919T231440_20180919T231505_023774_0297CC_D28C S1A_IW_GRDH_1SDV_20180919T231415_20180919T231440_023774_0297CC_374E S1A_IW_GRDH_1SDV_20180919T231350_20180919T231415_023774_0297CC_B86C S1A_IW_GRDH_1SDV_20180926T230708_20180926T230733_023876_029B14_C9D5 S1A_IW_GRDH_1SDV_20180926T230643_20180926T230708_023876_029B14_CC93 S1A_IW_GRDH_1SDV_20180926T230618_20180926T230643_023876_029B14_5C43 S1A_IW_GRDH_1SDV_20180926T230553_20180926T230618_023876_029B14_214C -------------------- Land Cover Inputs NASS 2017 Cultivated Layer (planted acres) Obtained From: https://www.nass.usda.gov/Research_and_Science/Cropland/Release/index.php NASS 2017 Cropland Data Layer (planted acres) Obtained From: CropScape: https://nassgeodata.gmu.edu/CropScape/ Disclaimer: These data are not official NASS estimates. -------------------- Processing Software Sentinel Application Platform (SNAP) Toolbox 6.0 http://step.esa.int/main/download/ Hexagon ERDAS Imagine 2016 http://www.hexagongeospatial.com/ Esri ArcGIS 10.3.1 http://www.esri.com/ -------------------- Methodology Boryan, C., Z. Yang, A. Sandborn, P. Willis, and B. Haack (2018). Operational Agricultural Flood Monitoring With Sentinel-1 Synthetic Aperature Radar. IGARSS 2018, Valenca Spain, July 22-27, 2018. Posted 08/09/2018 https://www.nass.usda.gov/Research_and_Science/Cropland/docs/Boryan_IGARSS2018%20_Flood.pdf ------------------------------------------------------------------------- ------------------------------------------------------------------------- File: Hurricane_Florence_Flood_Assessment_Report_no_tables.pdf Description: The Assessment Report provides a brief overview of the disaster event and the analysis that USDA/NASS conducted to estimate the extent of cropland and pasture/hay inundated by flooding from Hurricane Florence. The report provides an overview of the raster data created with select zooms of affected cropland and pasture/hay. ------------------------------------------------------------------------- ------------------------------------------------------------------------- File: Hurricane_Florence_Wind_Swath_Maps.zip Description: The wind swath maps utilize NOAA hurricane data, as well as land cover and livestock permit data, to derive the percent of agricultural land and livestock permits located within each wind swath polygon. -------------------- Hurricane Inputs NOAA National Hurricane Center https://www.nhc.noaa.gov/gis/ Preliminary Best Track - Hurricane Florence Obtained From: https://www.nhc.noaa.gov/gis/archive_besttrack_results.php?id=al06&year=2018&name=Hurricane%20FLORENCE Accessed: September 16, 2018, 6:00 AM Attribute Data RADII Description 34 Wind speeds are between 34 and 49 knots (39 and 57 miles per hour) - Tropical Storm Speeds 50 Wind speeds are between 50 and 63 knots (58 and 73 miles per hour) 64 Wind speeds are greater than 64 knots (74 miles per hour) - Hurricane Speeds -------------------- Land Cover Inputs NASS 2017 Cultivated Layer (planted acres) Obtained From: https://www.nass.usda.gov/Research_and_Science/Cropland/Release/index.php NASS 2017 Cropland Data Layer (planted acres) Obtained From: CropScape: https://nassgeodata.gmu.edu/CropScape/ Disclaimer: These data are not official NASS estimates. -------------------- Livestock Permit Inputs North Carolina: North Carolina Department of Environmental Quality, Animal Operations Permits, February 2016 Obtained From: http://data-ncdenr.opendata.arcgis.com/datasets/animal-operation-permits-?geometry=-85.51%2C33.745%2C-71.634%2C36.882 Attribute Data OpType Description Cattle Cattle Horses Horses Poultry Dry poultry, wet poultry Swine Swine Other Other animals South Carolina: South Carolina Department of Health and Environmental Control, List of Permitted Poultry and Livestock Facility Operators, 2018 Obtained From: USDA NASS South Carolina Field Office Attribute Data Group Description Cattle Beef, dairy Horses Horses Poultry Broiler, poultry Swine Swine Turkey Turkey Other Composter, manure broker, miscellaneous -------------------- Estimates NASS Quickstats https://quickstats.nass.usda.gov/ NASS official 2017 estimates were derived from planted acres for corn, cotton, peanuts, and soybeans in 2017 in North Carolina and South Carolina. Obtained From: https://quickstats.nass.usda.gov/results/A7EC8D31-BD00-326B-AC88-6649417B0ABC ------------------------------------------------------------------------- -------------------------------------------------------------------------