USDA NASS Disaster Analysis 2019 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: 20191013
Title: USDA NASS Disaster Analysis 2019 Event - Hurricane Dorian
Edition: USDA NASS Disaster Analysis 2019 Event - Hurricane Dorian
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:

This dataset evaluates the impact of Hurricane Dorian in September of 2019. The inundation raster layer was created to estimate the extent of cropland and pasture/hay inundated by flooding from Hurricane Dorian. 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. The study area consists of portions of Georgia, South Carolina, North Carolina, and Virginia, United States of America. Data represent cropland, inundated cropland,pasture/hay, inundated pasture/hay, water bodies, and other land. 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 (IW) swath (250 kilometer),
  Level-1 Ground Range Detected (GRD), 5x20 meter spatial resolution, and
  dual polarization (VV, VH)

  Imagery Download: Alaskan Satellite Facility
  https://vertex.daac.asf.alaska.edu/

  Pre-Flood Imagery Input Files:
  S1A_IW_GRDH_1SDV_20190821T231355_20190821T231420_028674_033ECD_EE05
  S1A_IW_GRDH_1SDV_20190821T231420_20190821T231445_028674_033ECD_84BD
  S1A_IW_GRDH_1SDV_20190826T232145_20190826T232210_028747_03414D_4BE3
  S1A_IW_GRDH_1SDV_20190826T232210_20190826T232235_028747_03414D_E8CE
  S1A_IW_GRDH_1SDV_20190828T230558_20190828T230623_028776_034258_7F98
  S1A_IW_GRDH_1SDV_20190828T230623_20190828T230648_028776_034258_87B0

  Post-Flood Imagery Inputs Files:
  S1A_IW_GRDH_1SDV_20190907T232146_20190907T232211_028922_034766_0502
  S1A_IW_GRDH_1SDV_20190907T232211_20190907T232236_028922_034766_9FC7
  S1B_IW_GRDH_1SDV_20190908T231310_20190908T231335_017953_021CC3_B814
  S1B_IW_GRDH_1SDV_20190908T231335_20190908T231400_017953_021CC3_4DDD
  S1A_IW_GRDH_1SDV_20190909T230559_20190909T230624_028951_03486B_78EB
  S1A_IW_GRDH_1SDV_20190909T230624_20190909T230649_028951_03486B_0D98

  Land Cover Inputs:
  NASS 2018 Cultivated Layer (planted acres)
  Obtained From: https://www.nass.usda.gov/Research_and_Science/Cropland/Release/index.php

  NASS 2018 Cropland Data Layer (planted acres)
  Obtained From: CropScape: https://nassgeodata.gmu.edu/CropScape/

Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20190821
Ending_Date: 20190909

Currentness_Reference: September 2019

Status:

Progress: Complete
Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -81.3076
East_Bounding_Coordinate: -76.4981
North_Bounding_Coordinate: 38.4325
South_Bounding_Coordinate: 31.0425

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: GA
Place_Keyword: SC
Place_Keyword: NC
Place_Keyword: VA
Place_Keyword: Georgia
Place_Keyword: South Carolina
Place_Keyword: North Carolina
Place_Keyword: Virginia

Temporal:

Temporal_Keyword_Thesaurus: None
Temporal_Keyword: 2019

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 7.0 <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: 2019
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: 20190821
Ending_Date: 20190909

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: 20190913
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, South Carolina, North Carolina, and Virginia, United States of America.

Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:

Raster_Object_Type: Pixel
Row_Count: 24480
Column_Count: 19250

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 2019 Event - Hurricane Dorian
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: 2019
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 2019 Event - Hurricane Dorian

Metadata: