USDA NASS Disaster Analysis 2018 Event

Identification_Information:

Citation:

Citation_Information:

Originator:

United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS), Research and Development Division (RDD), Geospatial Information Branch (GIB), Spatial Analysis Research Section (SARS)

Publication_Date: 20181001
Title: USDA NASS Disaster Analysis 2018 Event - Hurricane Florence
Edition: USDA NASS Disaster Analysis 2018 Event - Hurricane Florence
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:

Publication_Place:

USDA, NASS Marketing and Information Services Office, Washington, D.C.

Publisher: USDA, NASS

Other_Citation_Details:

The USDA NASS monitors the impact of natural disasters on US agriculture in near real-time using remotely sensed data and geospatial techniques. The first test case is detailed in the following papers <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/2018/Hurricane-Michael/Flood_Monitoring_Methodology_Paper.pdf> and <https://www.nass.usda.gov/Research_and_Science/Cropland/docs/Boryan_IGARSS2018%20_Flood.pdf>.

Online_Linkage:

<https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/>

Description:

Abstract:

Hurricane Florence struck areas of Virginia, North Carolina, South Carolina, and Georgia, United States from September 14 to 19, 2018. The United States Department of Agriculture's National Agricultural Statistics Service (NASS) responded to inquiries regarding the extent of flooding from Hurricane Florence over agricultural land in near real-time. Consequently, a recently developed flood mapping procedure, based on Copernicus Sentinel-1 Synthetic Aperture Radar data and the NASS Cropland Data Layer, was implemented in response to the flood event. The data, maps, and reports available on the official website illustrate and estimate the extent of inundation over cropland and pasture based on this analysis. The crop inundation raster layer is publically available for download at <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/>. These data are not official NASS estimates.

Purpose:

Agricultural disaster monitoring is important for food security and economic stability. Using remotely sensed data and geospatial techniques provides an additional tool for the USDA NASS to use in evaluating a disaster's impact on US agriculture.

Supplemental_Information:

  LIST OF INPUTS

  --------------------
  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.

Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20180824
Ending_Date: 20180926

Currentness_Reference: September 2018

Status:

Progress: Complete
Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -84.8419
East_Bounding_Coordinate: -76.9451
North_Bounding_Coordinate: 40.2173
South_Bounding_Coordinate: 29.5850

Keywords:

Theme:

Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: farming, 001
Theme_Keyword: environment, 007
Theme_Keyword: imageryBaseMapsEarthCover, 010

Theme:

Theme_Keyword_Thesaurus: Global Change Master Directory (GCMD) Science Keywords
Theme_Keyword:

Earth Science > Biosphere > Terrestrial Ecosystems > Agricultural Lands

Theme:

Theme_Keyword_Thesaurus: None

Theme_Keyword: crop cover
Theme_Keyword: cropland
Theme_Keyword: agriculture
Theme_Keyword: farming
Theme_Keyword: land cover
Theme_Keyword: crop estimates
Theme_Keyword: DEIMOS-1
Theme_Keyword: UK-DMC 2
Theme_Keyword: ISRO ResourceSat-2 LISS-3
Theme_Keyword: ESA SENTINEL-2
Theme_Keyword: Landsat
Theme_Keyword: CropScape

Place:

Place_Keyword_Thesaurus: Global Change Master Directory (GCMD) Location Keywords
Place_Keyword: Continent > North America > United States of America > Georgia
Place_Keyword:

Continent > North America > United States of America > North Carolina

Place_Keyword:

Continent > North America > United States of America > South Carolina

Place_Keyword: Continent > North America > United States of America > Virginia

Place:

Place_Keyword_Thesaurus: None
Place_Keyword: Georgia
Place_Keyword: North Carolina
Place_Keyword: South Carolina
Place_Keyword: Virginia
Place_Keyword: GA
Place_Keyword: NC
Place_Keyword: SC
Place_Keyword: VA

Temporal:

Temporal_Keyword_Thesaurus: None
Temporal_Keyword: 2018

Access_Constraints: None
Use_Constraints:

The USDA NASS Disaster Analysis data are provided to the public as is and are considered public domain and free to redistribute. The USDA, NASS does not warrant any conclusions drawn from these data. These data are not official NASS estimates.

Point_of_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: USDA, NASS, Spatial Analysis Research Section
Contact_Person: USDA, NASS, Spatial Analysis Research Section staff

Contact_Address:

Address_Type: mailing and physical address
Address: 1400 Independence Avenue, SW, Room 5029 South Building
City: Washington
State_or_Province: District of Columbia
Postal_Code: 20250-2001
Country: USA

Contact_Voice_Telephone: 800-727-9540
Contact_Facsimile_Telephone: 855-493-0447
Contact_Electronic_Mail_Address: HQ_RDD_GIB@usda.gov

Data_Set_Credit: USDA, National Agricultural Statistics Service
Security_Information:

Security_Classification_System: None
Security_Classification: Unclassified
Security_Handling_Description: None

Native_Data_Set_Environment:

Microsoft Windows 7 Enterprise; ERDAS Imagine Version 2016 <https://www.hexagongeospatial.com/>; ESRI ArcGIS Version 10.3.1 <https://www.esri.com/>; European Space Agency (ESA) Sentinel Application Platform (SNAP) Toolbox 6.0 <http://www.esa.int/>. SNAP is used in the preprocessing of the Sentinel-1A radar data. ERDAS Imagine is used in the analysis and post-processing of all raster-based data. ESRI ArcGIS is used to prepare all vector-based data and to create graphics.

Data_Quality_Information:

Logical_Consistency_Report:

The official website <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/> provides disaster assessments in geospatial data format, reports, and metadata as available.

Completeness_Report: This is a one time analysis with no planned updates.
Positional_Accuracy:

Horizontal_Positional_Accuracy:

Horizontal_Positional_Accuracy_Report:

The Disaster Analysis products retain the spatial attributes of the underlying Cropland Data Layer and its input imagery. The Landsat 8 OLI/TIRS imagery is obtained via download from the USGS Global Visualization Viewer (Glovis) website <https://glovis.usgs.gov/>. Please reference the metadata on the Glovis website for each Landsat scene for positional accuracy. The majority of the Landsat data is available at Level 1T (precision and terrain corrected). The DEIMOS-1 and DMC-UK 2 imagery used in the production of the Cropland Data Layer is orthorectified to a radial root mean square error (RMSE) of approximately 10 meters.

Lineage:

Source_Information:

Source_Citation:

Citation_Information:

Originator: European Space Agency (ESA)
Title: SENTINEL-1A
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:

Publisher: Copernicus - European Commission
Publication_Place: European Commission, Brussels (Belgium)

Publication_Date: 2018
Other_Citation_Details:

The ESA SENTINEL-1A satellite is a Synthetic Aperture Radar (SAR) sensor. The technical specifications used for this analysis include the following: interferometric wide (IW) swath (250 kilometer), Level-1 Ground Range Detected (GRD), 5x20 meter spatial resolution, and dual polarization (VV, VH). Additional information can be obtained at <http://www.esa.int/>. Refer to the 'Supplemental Information' Section of this metadata file for specific scenes used for this analysis. The imagery was resampled to 30 meters to match the Cropland Data Layer spatial resolution. The resample used cubic convolution, rigorous transformation.

Source_Scale_Denominator: 10 meter
Type_of_Source_Media: online download
Source_Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20180824
Ending_Date: 20180926

Source_Currentness_Reference: ground condition

Source_Citation_Abbreviation: SENTINEL-1A
Source_Contribution: Raw data used in spectral signature analysis

Process_Step:

Process_Description:

The USDA NASS has developed methodology to monitor the impact of hurricanes on US agriculture in near real-time using remotely sensed data and geospatial techniques. The first test case is detailed in the following papers <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/2018/Hurricane-Michael/Flood_Monitoring_Methodology_Paper.pdf> and <https://www.nass.usda.gov/Research_and_Science/Cropland/docs/Boryan_IGARSS2018%20_Flood.pdf>. The methodology continues to evolve and has been modified for other natural disaster scenarios, such as flooding and fires. These data are not considered official NASS estimates.

Process_Date: 20181001
Process_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: USDA, NASS, Spatial Analysis Research Section
Contact_Person: USDA, NASS, Spatial Analysis Research Section staff

Contact_Address:

Contact_Voice_Telephone: 800-727-9540
Contact_Facsimile_Telephone: 855-493-0447
Contact_Electronic_Mail_Address: HQ_RDD_GIB@usda.gov

Spatial_Data_Organization_Information:

Indirect_Spatial_Reference:

Portions of Georgia, North Carolina, South Carolina and Virginia, United States of America.

Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:

Raster_Object_Type: Pixel
Row_Count: 35293
Column_Count: 29809

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Map_Projection:

Map_Projection_Name:

Albers Conical Equal Area as used by mrlc.gov (NLCD). The official Cropland Data Layer available at <https://nassgeodata.gmu.edu/CropScape/> includes the data in its native Albers Conical Equal Area coordinate system.

Albers_Conical_Equal_Area:

Standard_Parallel: 29.500000
Standard_Parallel: 45.500000
Longitude_of_Central_Meridian: -96.000000
Latitude_of_Projection_Origin: 23.000000
False_Easting: 0.000000
False_Northing: 0.000000

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:

Abscissa_Resolution: 30
Ordinate_Resolution: 30

Planar_Distance_Units: meters

Geodetic_Model:

Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000

Denominator_of_Flattening_Ratio: 298.257223563

Entity_and_Attribute_Information:

Overview_Description:

Entity_and_Attribute_Overview:

Note of Caution: There are several causes for inundation/anomalous water, which could potentially include flooding, saturated fields from rainfall, ponding, or intentionally flooded rice and aquaculture fields. Sentinel-1A SAR data was used for pre- and post-flood analysis to identify areas of inundation after the hurricane. Areas of inundation are then intersected with cropland as identified in the NASS Cropland Data Layer (CDL). The areas of inundation are also intersected with pasture/hay as identified in the CDL and the 2016 USGS National Land Cover Database (NLCD).

Entity_and_Attribute_Detail_Citation:

 Data Dictionary: USDA, National Agricultural Statistics Service, Disaster Analysis for Flooding/Inundation Events

 Source: USDA, National Agricultural Statistics Service

 Raster
 Attribute Domain Values and Definitions: NO DATA, BACKGROUND 0

 Categorization Code   Land Cover
           "0"        Background
           "1"        Water
           "2"        Other
           "10"       Cropland
           "11"       Inundated Cropland
           "20"       Pasture Hay
           "21"       Inundated Pasture Hay

Distribution_Information:

Distributor:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: USDA, NASS Customer Service
Contact_Person: USDA, NASS Customer Service Staff

Contact_Address:

Address_Type: mailing and physical address
Address: 1400 Independence Avenue, SW, Room 5038-S
City: Washington
State_or_Province: District of Columbia
Postal_Code: 20250-9410
Country: USA

Contact_Voice_Telephone: 800-727-9540
Contact_Facsimile_Telephone: 855-493-0447
Contact_Electronic_Mail_Address: HQ_RDD_GIB@usda.gov
Contact_Instructions:

Please visit the official website <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/> for distribution details and free downloads. Distribution issues can be directed to the NASS Customer Service Hotline at 1-800-727-9540.

Resource_Description: USDA NASS Disaster Analysis 2018 Event - Hurricane Florence
Distribution_Liability:

Disclaimer: These data are not official NASS estimates. Users of the Disaster Analysis data and the Cropland Data Layer (CDL) are solely responsible for interpretations made from these products. The data are provided 'as is' and the USDA, NASS does not warrant results you may obtain using this information. Contact our staff at (HQ_RDD_GIB@usda.gov) if technical questions arise.

Standard_Order_Process:

Digital_Form:

Digital_Transfer_Information:

Format_Name: IMG and/or GEOTIFF
Format_Version_Date: 2018
Format_Information_Content: IMG and/or GEOTIFF

Digital_Transfer_Option:

Online_Option:

Computer_Contact_Information:

Network_Address:

Network_Resource_Name:

<https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/>

Access_Instructions:

The Disaster Analysis data is available online and free for download at <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/>.

Fees:

The Disaster Analysis data is available online and free for download at <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/>.

Ordering_Instructions:

The Disaster Analysis data is available online and free for download at <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/>. Distribution issues can also be directed to the NASS Customer Service Hotline at 1-800-727-9540.

Technical_Prerequisites:

All of the data is available for viewing and downloading at the following website <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/>. Typically, for each disaster analysis event there will be graphics available for download in PDF and PNG file formats and an Assessment Report in a PDF format. The underlying data that the graphics and assessment reports are based on is also available for download within WinZIP files in an IMG and/or GeoTIFF file format which can be opened using ESRI ArcGIS software.

USDA NASS Disaster Analysis 2018 Event - Hurricane Florence

Metadata: